ImagenetTraining-imagenet-1k-random-20.0-frac-1over2 / pytorch-image-models /results /benchmark-infer-amp-nhwc-pt240-cu124-rtx4090.csv
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model,infer_img_size,infer_samples_per_sec,infer_step_time,infer_batch_size,param_count,infer_gmacs,infer_macts
test_vit,160,193591.5,2.637,512,0.37,0.04,0.48
test_efficientnet,160,140505.88,3.636,512,0.36,0.06,0.55
test_byobnet,160,139342.81,3.665,512,0.46,0.03,0.43
tinynet_e,106,114149.3,4.476,512,2.04,0.03,0.69
mobilenetv3_small_050,224,91713.66,5.573,512,1.59,0.03,0.92
lcnet_035,224,74617.77,6.852,512,1.64,0.03,1.04
mobilenetv3_small_075,224,64474.01,7.933,512,2.04,0.05,1.3
lcnet_050,224,64449.16,7.935,512,1.88,0.05,1.26
mobilenetv3_small_100,224,58931.45,8.678,512,2.54,0.06,1.42
tinynet_d,152,53815.67,9.505,512,2.34,0.05,1.42
tf_mobilenetv3_small_minimal_100,224,46935.54,10.899,512,2.04,0.06,1.41
tf_mobilenetv3_small_075,224,46386.54,11.028,512,2.04,0.05,1.3
mobilenetv4_conv_small,224,45334.09,11.283,512,3.77,0.19,1.97
tf_mobilenetv3_small_100,224,43574.18,11.741,512,2.54,0.06,1.42
efficientvit_m2,224,43163.92,11.852,512,4.19,0.2,1.47
efficientvit_m1,224,41710.72,12.265,512,2.98,0.17,1.33
lcnet_075,224,41149.58,12.43,512,2.36,0.1,1.99
mnasnet_small,224,38517.24,13.282,512,2.03,0.07,2.16
efficientvit_m0,224,37262.79,13.731,512,2.35,0.08,0.91
efficientvit_m3,224,37259.36,13.732,512,6.9,0.27,1.62
efficientvit_m4,224,36637.28,13.966,512,8.8,0.3,1.7
resnet18,160,35956.09,14.229,512,11.69,0.93,1.27
regnetx_002,224,35359.25,14.471,512,2.68,0.2,2.16
resnet10t,176,35271.27,14.507,512,5.44,0.7,1.51
ghostnet_050,224,33294.15,15.367,512,2.59,0.05,1.77
mobilenetv4_conv_small,256,32870.69,15.566,512,3.77,0.25,2.57
repghostnet_050,224,32631.77,15.681,512,2.31,0.05,2.02
regnety_002,224,32330.37,15.824,512,3.16,0.2,2.17
levit_128s,224,31791.92,16.095,512,7.78,0.31,1.88
lcnet_100,224,31652.74,16.165,512,2.95,0.16,2.52
vit_small_patch32_224,224,31104.08,16.451,512,22.88,1.15,2.5
levit_conv_128s,224,30791.34,16.618,512,7.78,0.31,1.88
mobilenetv2_035,224,30231.75,16.927,512,1.68,0.07,2.86
efficientvit_m5,224,29243.03,17.498,512,12.47,0.53,2.41
mnasnet_050,224,28381.86,18.03,512,2.22,0.11,3.07
regnetx_004,224,26873.8,19.042,512,5.16,0.4,3.14
regnetx_004_tv,224,26191.12,19.533,512,5.5,0.42,3.17
tinynet_c,184,25374.27,20.162,512,2.46,0.11,2.87
efficientvit_b0,224,24958.93,20.504,512,3.41,0.1,2.87
repghostnet_058,224,24922.84,20.532,512,2.55,0.07,2.59
pit_ti_224,224,24011.49,21.313,512,4.85,0.7,6.19
pit_ti_distilled_224,224,23895.35,21.415,512,5.1,0.71,6.23
semnasnet_050,224,23613.68,21.672,512,2.08,0.11,3.44
mobilenetv2_050,224,23276.13,21.987,512,1.97,0.1,3.64
mixer_s32_224,224,23222.09,22.038,512,19.1,1.0,2.28
resnet34,160,22893.41,22.355,512,21.8,1.87,1.91
gernet_s,224,22652.42,22.589,512,8.17,0.75,2.65
cs3darknet_focus_s,256,22633.17,22.607,512,3.27,0.69,2.7
resnet10t,224,21939.38,23.327,512,5.44,1.1,2.43
levit_128,224,21210.51,24.129,512,9.21,0.41,2.71
cs3darknet_s,256,21180.55,24.162,512,3.28,0.72,2.97
levit_conv_128,224,20601.31,24.843,512,9.21,0.41,2.71
vit_tiny_r_s16_p8_224,224,20597.39,24.845,512,6.34,0.44,2.06
repghostnet_080,224,19998.72,25.59,512,3.28,0.1,3.22
lcnet_150,224,19930.25,25.679,512,4.5,0.34,3.79
tf_efficientnetv2_b0,192,19533.13,26.202,512,7.14,0.54,3.51
levit_192,224,19368.21,26.425,512,10.95,0.66,3.2
vit_medium_patch32_clip_224,224,19242.5,26.596,512,39.69,2.0,3.34
mobilenetv3_large_075,224,19001.45,26.934,512,3.99,0.16,4.0
levit_conv_192,224,18406.17,27.806,512,10.95,0.66,3.2
resnet18,224,18247.43,28.048,512,11.69,1.82,2.48
nf_regnet_b0,192,18063.21,28.334,512,8.76,0.37,3.15
deit_tiny_patch16_224,224,17596.84,29.086,512,5.72,1.26,5.97
vit_tiny_patch16_224,224,17589.76,29.098,512,5.72,1.26,5.97
deit_tiny_distilled_patch16_224,224,17490.74,29.262,512,5.91,1.27,6.01
regnety_004,224,17337.89,29.52,512,4.34,0.41,3.89
mobilenetv3_rw,224,17271.2,29.634,512,5.48,0.23,4.41
mnasnet_075,224,17012.7,30.083,512,3.17,0.23,4.77
resnet14t,176,16949.17,30.199,512,10.08,1.07,3.61
mobilenetv3_large_100,224,16891.88,30.3,512,5.48,0.23,4.41
seresnet18,224,16704.11,30.636,512,11.78,1.82,2.49
hardcorenas_a,224,16102.68,31.784,512,5.26,0.23,4.38
legacy_seresnet18,224,16060.08,31.87,512,11.78,1.82,2.49
tf_mobilenetv3_large_075,224,15808.54,32.378,512,3.99,0.16,4.0
regnety_006,224,15808.03,32.374,512,6.06,0.61,4.33
repghostnet_100,224,15795.72,32.403,512,4.07,0.15,3.98
tinynet_b,188,15674.11,32.653,512,3.73,0.21,4.44
hardcorenas_b,224,15581.81,32.845,512,5.18,0.26,5.09
ghostnet_100,224,15502.44,33.013,512,5.18,0.15,3.55
hardcorenas_c,224,15395.61,33.244,512,5.52,0.28,5.01
resnet18d,224,15221.89,33.625,512,11.71,2.06,3.29
vit_xsmall_patch16_clip_224,224,15198.95,33.676,512,8.28,1.79,6.65
pit_xs_224,224,15188.8,33.697,512,10.62,1.4,7.71
pit_xs_distilled_224,224,15115.79,33.86,512,11.0,1.41,7.76
tf_efficientnetv2_b1,192,14975.34,34.18,512,8.14,0.76,4.59
tf_mobilenetv3_large_minimal_100,224,14968.23,34.196,512,3.92,0.22,4.4
hardcorenas_d,224,14805.72,34.57,512,7.5,0.3,4.93
mobilenet_edgetpu_v2_xs,224,14739.85,34.726,512,4.46,0.7,4.8
mobilenetv1_100,224,14689.46,34.843,512,4.23,0.58,5.04
mobilenetv1_100h,224,14526.94,35.232,512,5.28,0.63,5.09
mnasnet_100,224,14430.36,35.465,512,4.38,0.33,5.46
repvgg_a0,224,14326.74,35.726,512,9.11,1.52,3.59
ese_vovnet19b_slim_dw,224,14264.24,35.883,512,1.9,0.4,5.28
mobilenetv4_conv_medium,224,14221.81,35.988,512,9.72,0.84,5.8
tf_mobilenetv3_large_100,224,14215.1,36.006,512,5.48,0.23,4.41
regnetx_008,224,14152.21,36.165,512,7.26,0.81,5.15
levit_256,224,14076.58,36.361,512,18.89,1.13,4.23
semnasnet_075,224,13892.08,36.844,512,2.91,0.23,5.54
dla46_c,224,13792.44,37.109,512,1.3,0.58,4.5
repghostnet_111,224,13783.41,37.136,512,4.54,0.18,4.38
ese_vovnet19b_slim,224,13770.62,37.17,512,3.17,1.69,3.52
tf_efficientnetv2_b0,224,13704.01,37.351,512,7.14,0.73,4.77
vit_betwixt_patch32_clip_224,224,13660.67,37.47,512,61.41,3.09,4.17
regnetx_006,224,13627.19,37.56,512,6.2,0.61,3.98
mobilenetv2_075,224,13591.14,37.659,512,2.64,0.22,5.86
spnasnet_100,224,13506.55,37.897,512,4.42,0.35,6.03
levit_conv_256,224,13449.58,38.057,512,18.89,1.13,4.23
mobilenet_edgetpu_100,224,13226.44,38.699,512,4.09,1.0,5.75
xcit_nano_12_p16_224,224,13143.36,38.944,512,3.05,0.56,4.17
convnext_atto,224,13136.13,38.966,512,3.7,0.55,3.81
mobilenetv4_hybrid_medium_075,224,12839.02,39.865,512,7.31,0.66,5.65
edgenext_xx_small,256,12753.52,40.134,512,1.33,0.26,3.33
convnext_atto_ols,224,12710.59,40.269,512,3.7,0.58,4.11
regnety_008,224,12684.45,40.35,512,6.26,0.81,5.25
tinynet_a,192,12643.44,40.482,512,6.19,0.35,5.41
levit_256d,224,12538.4,40.823,512,26.21,1.4,4.93
hardcorenas_f,224,12519.6,40.883,512,8.2,0.35,5.57
mobilenetv3_large_100,256,12500.8,40.947,512,5.48,0.29,5.75
hardcorenas_e,224,12262.77,41.738,512,8.07,0.35,5.65
regnety_008_tv,224,12155.65,42.107,512,6.43,0.84,5.42
semnasnet_100,224,12053.2,42.467,512,3.89,0.32,6.23
levit_conv_256d,224,12032.84,42.54,512,26.21,1.4,4.93
fbnetc_100,224,12028.82,42.553,512,5.57,0.4,6.51
ghostnet_130,224,11996.72,42.666,512,7.36,0.24,4.6
regnetz_005,224,11901.9,43.006,512,7.12,0.52,5.86
mobilenetv2_100,224,11768.03,43.497,512,3.5,0.31,6.68
repghostnet_130,224,11593.04,44.15,512,5.48,0.25,5.24
mobilenetv1_125,224,11535.69,44.372,512,6.27,0.89,6.3
efficientnet_lite0,224,11509.61,44.474,512,4.65,0.4,6.74
resnet34,224,11246.05,45.512,512,21.8,3.67,3.74
convnext_femto,224,11240.65,45.537,512,5.22,0.79,4.57
mobilenetv1_100,256,11102.16,46.107,512,4.23,0.76,6.59
mobilenetv1_100h,256,10962.04,46.696,512,5.28,0.82,6.65
hgnetv2_b0,224,10947.51,46.757,512,6.0,0.33,2.12
convnext_femto_ols,224,10906.04,46.936,512,5.23,0.82,4.87
fbnetv3_b,224,10838.47,47.224,512,8.6,0.42,6.97
tf_efficientnetv2_b2,208,10821.76,47.3,512,10.1,1.06,6.0
cs3darknet_focus_m,256,10820.8,47.302,512,9.3,1.98,4.89
mobilevit_xxs,256,10784.37,47.464,512,1.27,0.42,8.34
resnet14t,224,10567.1,48.439,512,10.08,1.69,5.8
mobilenetv4_conv_medium,256,10509.42,48.704,512,9.72,1.1,7.58
gernet_m,224,10469.98,48.882,512,21.14,3.02,5.24
vit_base_patch32_224,224,10426.38,49.097,512,88.22,4.41,5.01
vit_base_patch32_clip_224,224,10419.24,49.129,512,88.22,4.41,5.01
resnet18,288,10402.09,49.21,512,11.69,3.01,4.11
hrnet_w18_small,224,10372.58,49.345,512,13.19,1.61,5.72
crossvit_tiny_240,240,10274.57,49.816,512,7.01,1.57,9.08
selecsls42,224,10259.59,49.889,512,30.35,2.94,4.62
cs3darknet_m,256,10254.13,49.918,512,9.31,2.08,5.28
selecsls42b,224,10223.02,50.071,512,32.46,2.98,4.62
seresnet34,224,10212.95,50.12,512,21.96,3.67,3.74
mobilenetv4_hybrid_medium,224,10180.15,50.283,512,11.07,0.98,6.84
repvgg_a1,224,10156.41,50.4,512,14.09,2.64,4.74
resnet50,160,10141.36,50.475,512,25.56,2.1,5.67
resnet34d,224,10045.08,50.956,512,21.82,3.91,4.54
repghostnet_150,224,10019.26,51.092,512,6.58,0.32,6.0
mobilenet_edgetpu_v2_s,224,9959.13,51.393,512,5.99,1.21,6.6
efficientnet_b0,224,9831.68,52.064,512,5.29,0.4,6.75
edgenext_xx_small,288,9824.91,52.1,512,1.33,0.33,4.21
legacy_seresnet34,224,9801.32,52.225,512,21.96,3.67,3.74
tf_efficientnet_lite0,224,9765.44,52.418,512,4.65,0.4,6.74
repvit_m1,224,9725.15,52.635,512,5.49,0.83,7.45
crossvit_9_240,240,9657.56,53.001,512,8.55,1.85,9.52
seresnet18,288,9580.24,53.432,512,11.78,3.01,4.11
efficientnet_b1_pruned,240,9566.61,53.501,512,6.33,0.4,6.21
vit_small_patch32_384,384,9550.92,53.596,512,22.92,3.45,8.25
pvt_v2_b0,224,9469.13,54.056,512,3.67,0.57,7.99
resnet50d,160,9423.52,54.321,512,25.58,2.22,6.08
repvit_m0_9,224,9420.77,54.337,512,5.49,0.83,7.45
dla34,224,9394.03,54.492,512,15.74,3.07,5.02
pit_s_224,224,9385.23,54.542,512,23.46,2.88,11.56
pit_s_distilled_224,224,9330.9,54.86,512,24.04,2.9,11.64
mnasnet_140,224,9285.01,55.122,512,7.12,0.6,7.71
crossvit_9_dagger_240,240,9245.69,55.364,512,8.78,1.99,9.97
nf_regnet_b0,256,9175.43,55.788,512,8.76,0.64,5.58
efficientvit_b1,224,9080.99,56.37,512,9.1,0.53,7.25
rexnetr_100,224,9036.3,56.647,512,4.88,0.43,7.72
visformer_tiny,224,9033.8,56.663,512,10.32,1.27,5.72
selecsls60,224,8984.73,56.974,512,30.67,3.59,5.52
rexnet_100,224,8980.27,57.002,512,4.8,0.41,7.44
resnetaa34d,224,8953.98,57.169,512,21.82,4.43,5.07
selecsls60b,224,8928.94,57.33,512,32.77,3.63,5.52
mobilenetv2_110d,224,8887.12,57.601,512,4.52,0.45,8.71
fbnetv3_d,224,8866.65,57.732,512,10.31,0.52,8.5
levit_384,224,8827.05,57.993,512,39.13,2.36,6.26
resnet18d,288,8808.21,58.116,512,11.71,3.41,5.43
mobilevitv2_050,256,8703.38,58.817,512,1.37,0.48,8.04
convnext_pico,224,8685.06,58.939,512,9.05,1.37,6.1
mobilenetv1_125,256,8629.12,59.32,512,6.27,1.16,8.23
vit_base_patch32_clip_quickgelu_224,224,8623.33,59.362,512,87.85,4.41,5.01
tf_efficientnetv2_b1,240,8620.85,59.379,512,8.14,1.21,7.34
cs3darknet_focus_m,288,8566.21,59.756,512,9.3,2.51,6.19
tf_efficientnet_b0,224,8541.64,59.93,512,5.29,0.4,6.75
seresnet50,160,8474.8,60.402,512,28.09,2.1,5.69
resnetblur18,224,8463.51,60.482,512,11.69,2.34,3.39
resnext50_32x4d,160,8436.12,60.679,512,25.03,2.17,7.35
convnext_pico_ols,224,8425.05,60.76,512,9.06,1.43,6.5
levit_conv_384,224,8372.39,61.141,512,39.13,2.36,6.26
efficientnet_es_pruned,224,8329.12,61.458,512,5.44,1.81,8.73
efficientnet_es,224,8327.35,61.471,512,5.44,1.81,8.73
efficientnet_b0_g16_evos,224,8292.21,61.731,512,8.11,1.01,7.42
semnasnet_140,224,8275.66,61.856,512,6.11,0.6,8.87
mobilenetv4_conv_blur_medium,224,8246.17,62.078,512,9.72,1.22,8.58
ese_vovnet19b_dw,224,8222.83,62.253,512,6.54,1.34,8.25
resnet50,176,8183.47,62.553,512,25.56,2.62,6.92
dla46x_c,224,8172.45,62.637,512,1.07,0.54,5.66
cs3darknet_m,288,8120.14,63.039,512,9.31,2.63,6.69
mobilenet_edgetpu_v2_m,224,8111.09,63.111,512,8.46,1.85,8.15
hgnetv2_b1,224,8089.51,63.278,512,6.34,0.49,2.73
resnet26,224,8074.23,63.401,512,16.0,2.36,7.35
ecaresnet50t,160,8063.67,63.484,512,25.57,2.21,6.04
vit_base_patch32_clip_256,256,8042.41,63.651,512,87.86,5.76,6.65
resnetrs50,160,8011.18,63.898,512,35.69,2.29,6.2
mobilenetv2_140,224,7973.79,64.198,512,6.11,0.6,9.57
xcit_tiny_12_p16_224,224,7972.61,64.209,512,6.72,1.24,6.29
mixer_b32_224,224,7946.63,64.415,512,60.29,3.24,6.29
dla60x_c,224,7932.08,64.535,512,1.32,0.59,6.01
fbnetv3_b,256,7894.93,64.838,512,8.6,0.55,9.1
tiny_vit_5m_224,224,7865.63,65.083,512,12.08,1.28,11.25
resmlp_12_224,224,7865.04,65.084,512,15.35,3.01,5.5
convnext_atto,288,7834.17,65.338,512,3.7,0.91,6.3
mixer_s16_224,224,7827.39,65.399,512,18.53,3.79,5.97
edgenext_x_small,256,7821.76,65.447,512,2.34,0.54,5.93
repvit_m1_0,224,7763.02,65.941,512,7.3,1.13,8.69
tf_efficientnet_es,224,7753.47,66.024,512,5.44,1.81,8.73
ghostnetv2_100,224,7711.41,66.38,512,6.16,0.18,4.55
vit_small_patch16_224,224,7695.68,66.52,512,22.05,4.61,11.95
deit_small_patch16_224,224,7692.21,66.546,512,22.05,4.61,11.95
repvgg_b0,224,7686.96,66.595,512,15.82,3.41,6.15
deit_small_distilled_patch16_224,224,7646.43,66.946,512,22.44,4.63,12.02
skresnet18,224,7641.81,66.984,512,11.96,1.82,3.24
darknet17,256,7605.93,67.302,512,14.3,3.26,7.18
convnext_atto_ols,288,7572.12,67.606,512,3.7,0.96,6.8
efficientnet_lite1,240,7533.54,67.95,512,5.42,0.62,10.14
mobilenetv4_hybrid_medium,256,7461.42,68.608,512,11.07,1.29,9.01
repvit_m2,224,7412.42,69.062,512,8.8,1.36,9.43
mixnet_s,224,7370.06,69.451,512,4.13,0.25,6.25
repghostnet_200,224,7359.51,69.557,512,9.8,0.54,7.96
vit_pwee_patch16_reg1_gap_256,256,7350.46,69.642,512,15.25,4.37,15.87
efficientnet_b0,256,7334.29,69.797,512,5.29,0.52,8.81
efficientnet_blur_b0,224,7255.8,70.553,512,5.29,0.43,8.72
gmixer_12_224,224,7249.78,70.61,512,12.7,2.67,7.26
resnet26d,224,7173.64,71.361,512,16.01,2.6,8.15
mobilenet_edgetpu_v2_l,224,7155.34,71.543,512,10.92,2.55,9.05
repvit_m1_1,224,7120.93,71.88,512,8.8,1.36,9.43
hgnetv2_b4,224,7066.56,72.433,512,19.8,2.75,6.7
nf_regnet_b2,240,7056.07,72.547,512,14.31,0.97,7.23
rexnetr_130,224,7042.44,72.689,512,7.61,0.68,9.81
darknet21,256,7025.74,72.86,512,20.86,3.93,7.47
eva02_tiny_patch14_224,224,7011.67,73.009,512,5.5,1.7,9.14
gernet_l,256,7010.05,73.027,512,31.08,4.57,8.0
mobilenetv4_conv_aa_medium,256,6992.95,73.204,512,9.72,1.58,10.3
vit_tiny_r_s16_p8_384,384,6908.22,74.103,512,6.36,1.34,6.49
efficientnet_b1,224,6906.68,74.116,512,7.79,0.59,9.36
nf_regnet_b1,256,6856.88,74.654,512,10.22,0.82,7.27
sedarknet21,256,6844.16,74.796,512,20.95,3.93,7.47
deit3_small_patch16_224,224,6842.04,74.819,512,22.06,4.61,11.95
vit_wee_patch16_reg1_gap_256,256,6834.55,74.901,512,13.42,3.83,13.9
ecaresnet50d_pruned,224,6821.51,75.045,512,19.94,2.53,6.43
vit_relpos_small_patch16_rpn_224,224,6816.29,75.1,512,21.97,4.59,13.05
resnext50_32x4d,176,6815.65,75.11,512,25.03,2.71,8.97
efficientvit_b1,256,6805.35,75.222,512,9.1,0.69,9.46
vit_relpos_small_patch16_224,224,6794.12,75.345,512,21.98,4.59,13.05
tf_mixnet_s,224,6784.77,75.452,512,4.13,0.25,6.25
vit_srelpos_small_patch16_224,224,6772.14,75.593,512,21.97,4.59,12.16
convnextv2_atto,224,6744.98,75.897,512,3.71,0.55,3.81
convnext_femto,288,6744.7,75.901,512,5.22,1.3,7.56
regnetz_005,288,6732.16,76.038,512,7.12,0.86,9.68
flexivit_small,240,6705.34,76.346,512,22.06,5.35,14.18
tiny_vit_11m_224,224,6677.76,76.659,512,20.35,2.04,13.49
resnet101,160,6654.99,76.921,512,44.55,4.0,8.28
tf_efficientnet_lite1,240,6635.79,77.145,512,5.42,0.62,10.14
mobilenetv4_conv_medium,320,6583.91,77.754,512,9.72,1.71,11.84
efficientnetv2_rw_t,224,6565.65,77.969,512,13.65,1.93,9.94
convnext_femto_ols,288,6547.48,78.187,512,5.23,1.35,8.06
rexnet_130,224,6526.53,78.43,512,7.56,0.68,9.71
resnet34,288,6472.85,79.088,512,21.8,6.07,6.18
hgnet_tiny,224,6467.95,79.144,512,14.74,4.54,6.36
hgnetv2_b0,288,6455.26,79.302,512,6.0,0.54,3.51
regnetz_b16,224,6447.12,79.403,512,9.72,1.45,9.95
mobilenetv2_120d,224,6441.08,79.477,512,5.83,0.69,11.97
regnetx_016,224,6438.32,79.508,512,9.19,1.62,7.93
fbnetv3_d,256,6406.47,79.904,512,10.31,0.68,11.1
nf_resnet26,224,6382.33,80.21,512,16.0,2.41,7.35
repvgg_a2,224,6357.34,80.526,512,28.21,5.7,6.26
convnext_nano,224,6328.61,80.891,512,15.59,2.46,8.37
gmlp_ti16_224,224,6311.2,81.105,512,5.87,1.34,7.55
cs3darknet_focus_l,256,6269.67,81.648,512,21.15,4.66,8.03
efficientnet_cc_b0_4e,224,6251.35,81.891,512,13.31,0.41,9.42
efficientnet_cc_b0_8e,224,6215.22,82.367,512,24.01,0.42,9.42
tf_efficientnetv2_b2,260,6193.92,82.64,512,10.1,1.72,9.84
gc_efficientnetv2_rw_t,224,6186.72,82.746,512,13.68,1.94,9.97
rexnetr_150,224,6134.63,83.448,512,9.78,0.89,11.13
tf_efficientnetv2_b3,240,6104.76,83.857,512,14.36,1.93,9.95
mobilenet_edgetpu_v2_m,256,6098.85,83.937,512,8.46,2.42,10.65
vit_relpos_base_patch32_plus_rpn_256,256,6094.72,83.988,512,119.42,7.68,8.01
edgenext_x_small,288,6092.28,84.029,512,2.34,0.68,7.5
mobilenetv4_conv_large,256,6067.97,84.365,512,32.59,2.86,12.14
efficientformer_l1,224,6062.02,84.445,512,12.29,1.3,5.53
resnext26ts,256,6061.47,84.453,512,10.3,2.43,10.52
cs3darknet_l,256,6032.27,84.863,512,21.16,4.86,8.55
vit_base_patch32_plus_256,256,5971.26,85.733,512,119.48,7.79,7.76
convnext_nano_ols,224,5948.71,86.056,512,15.65,2.65,9.38
ghostnetv2_130,224,5943.44,86.13,512,8.96,0.28,5.9
mobilenetv4_conv_blur_medium,256,5900.5,86.749,512,9.72,1.59,11.2
legacy_seresnext26_32x4d,224,5892.27,86.881,512,16.79,2.49,9.39
dpn48b,224,5891.72,86.887,512,9.13,1.69,8.92
seresnet34,288,5881.41,87.035,512,21.96,6.07,6.18
seresnext26ts,256,5849.56,87.514,512,10.39,2.43,10.52
efficientnet_b1,240,5837.99,87.69,512,7.79,0.71,10.88
resnet34d,288,5818.74,87.977,512,21.82,6.47,7.51
efficientnet_lite2,260,5818.57,87.978,512,6.09,0.89,12.9
eca_resnext26ts,256,5802.09,88.223,512,10.3,2.43,10.52
regnety_016,224,5793.48,88.359,512,11.2,1.63,8.04
gcresnext26ts,256,5763.43,88.824,512,10.48,2.43,10.53
vit_tiny_patch16_384,384,5757.61,88.914,512,5.79,4.7,25.39
efficientnet_b2_pruned,260,5702.14,89.779,512,8.31,0.73,9.13
vovnet39a,224,5696.62,89.864,512,22.6,7.09,6.73
convnextv2_femto,224,5691.98,89.939,512,5.23,0.79,4.57
selecsls84,224,5690.74,89.959,512,50.95,5.9,7.57
rexnet_150,224,5687.06,90.016,512,9.73,0.9,11.21
tf_efficientnet_cc_b0_8e,224,5682.69,90.088,512,24.01,0.42,9.42
ecaresnet101d_pruned,224,5665.08,90.365,512,24.88,3.48,7.69
tf_efficientnet_cc_b0_4e,224,5643.92,90.706,512,13.31,0.41,9.42
edgenext_small,256,5629.75,90.933,512,5.59,1.26,9.07
hgnetv2_b2,224,5618.6,91.112,512,11.22,1.15,4.12
cs3sedarknet_l,256,5560.82,92.057,512,21.91,4.86,8.56
mobilevitv2_075,256,5556.74,92.127,512,2.87,1.05,12.06
mobilenetv3_large_150d,256,5555.16,92.154,512,14.62,1.03,12.35
resnet26t,256,5542.61,92.362,512,16.01,3.35,10.52
ecaresnetlight,224,5507.77,92.947,512,30.16,4.11,8.42
mobilenetv4_hybrid_large_075,256,5460.28,93.755,512,22.75,2.06,11.64
ecaresnext26t_32x4d,224,5449.2,93.946,512,15.41,2.7,10.09
seresnext26t_32x4d,224,5447.15,93.982,512,16.81,2.7,10.09
ecaresnext50t_32x4d,224,5446.35,93.994,512,15.41,2.7,10.09
tresnet_m,224,5412.07,94.592,512,31.39,5.75,7.31
resnetv2_50,224,5404.87,94.714,512,25.55,4.11,11.11
seresnext26d_32x4d,224,5399.24,94.813,512,16.81,2.73,10.19
resnet101,176,5394.96,94.89,512,44.55,4.92,10.08
ese_vovnet39b,224,5390.43,94.971,512,24.57,7.09,6.74
eca_vovnet39b,224,5385.97,95.049,512,22.6,7.09,6.74
hrnet_w18_small_v2,224,5368.46,95.35,512,15.6,2.62,9.65
resnetaa34d,288,5316.61,96.29,512,21.82,7.33,8.38
nf_regnet_b2,272,5315.32,96.311,512,14.31,1.22,9.27
nf_regnet_b1,288,5308.87,96.43,512,10.22,1.02,9.2
tf_efficientnet_b1,240,5299.34,96.602,512,7.79,0.71,10.88
nf_ecaresnet26,224,5277.07,97.012,512,16.0,2.41,7.36
nf_seresnet26,224,5268.95,97.161,512,17.4,2.41,7.36
sam2_hiera_tiny,224,5256.88,97.382,512,26.85,4.91,17.12
convnext_pico,288,5236.48,97.762,512,9.05,2.27,10.08
wide_resnet50_2,176,5230.3,97.88,512,68.88,7.29,8.97
efficientvit_b1,288,5209.57,98.268,512,9.1,0.87,11.96
poolformer_s12,224,5207.23,98.311,512,11.92,1.82,5.53
pvt_v2_b1,224,5204.63,98.361,512,14.01,2.12,15.39
vit_small_resnet26d_224,224,5184.59,98.741,512,63.61,5.07,11.12
vit_medium_patch16_clip_224,224,5164.35,99.127,512,38.59,8.0,15.93
tf_efficientnet_lite2,260,5161.3,99.182,512,6.09,0.89,12.9
efficientnet_b1,256,5151.08,99.381,512,7.79,0.77,12.22
edgenext_small_rw,256,5138.37,99.63,512,7.83,1.58,9.51
resnet50,224,5088.39,100.61,512,25.56,4.11,11.11
convnext_pico_ols,288,5080.05,100.773,512,9.06,2.37,10.74
dpn68,224,5063.18,101.109,512,12.61,2.35,10.47
resnet32ts,256,5060.8,101.156,512,17.96,4.63,11.58
dla60,224,5050.11,101.367,512,22.04,4.26,10.16
efficientnet_em,240,5043.39,101.506,512,6.9,3.04,14.34
levit_512,224,5027.38,101.83,512,95.17,5.64,10.22
resnetv2_50t,224,5027.34,101.829,512,25.57,4.32,11.82
resnet33ts,256,5009.72,102.19,512,19.68,4.76,11.66
resnetv2_50d,224,4991.23,102.566,512,25.57,4.35,11.92
mixnet_m,224,4990.08,102.58,512,5.01,0.36,8.19
vgg11,224,4978.9,102.821,512,132.86,7.61,7.44
mobilevit_xs,256,4974.99,102.897,512,2.32,1.05,16.33
eca_botnext26ts_256,256,4972.2,102.961,512,10.59,2.46,11.6
resnetblur18,288,4952.71,103.365,512,11.69,3.87,5.6
repvit_m3,224,4952.4,103.372,512,10.68,1.89,13.94
vit_little_patch16_reg1_gap_256,256,4899.59,104.486,512,22.52,6.27,18.06
crossvit_small_240,240,4895.55,104.569,512,26.86,5.63,18.17
regnetv_040,224,4894.19,104.6,512,20.64,4.0,12.29
efficientnet_b2,256,4887.72,104.739,512,9.11,0.89,12.81
dpn68b,224,4887.43,104.743,512,12.61,2.35,10.47
resnest14d,224,4875.39,105.004,512,10.61,2.76,7.33
cs3darknet_focus_l,288,4864.5,105.235,512,21.15,5.9,10.16
coatnext_nano_rw_224,224,4863.57,105.26,512,14.7,2.47,12.8
resnet50c,224,4858.01,105.38,512,25.58,4.35,11.92
vovnet57a,224,4855.98,105.421,512,36.64,8.95,7.52
vit_little_patch16_reg4_gap_256,256,4854.62,105.455,512,22.52,6.35,18.33
ecaresnet26t,256,4847.81,105.603,512,16.01,3.35,10.53
convnext_tiny,224,4844.53,105.672,512,28.59,4.47,13.44
coatnet_pico_rw_224,224,4838.76,105.799,512,10.85,2.05,14.62
regnety_040,224,4833.84,105.901,512,20.65,4.0,12.29
ese_vovnet19b_dw,288,4833.57,105.914,512,6.54,2.22,13.63
eca_resnet33ts,256,4814.31,106.335,512,19.68,4.76,11.66
seresnet33ts,256,4808.69,106.463,512,19.78,4.76,11.66
tf_mixnet_m,224,4798.12,106.693,512,5.01,0.36,8.19
eca_halonext26ts,256,4798.11,106.697,512,10.76,2.44,11.46
tf_efficientnet_em,240,4792.58,106.819,512,6.9,3.04,14.34
resnet26,288,4751.95,107.731,512,16.0,3.9,12.15
botnet26t_256,256,4750.9,107.757,512,12.49,3.32,11.98
resnet50t,224,4740.57,107.989,512,25.57,4.32,11.82
hgnetv2_b1,288,4740.36,107.996,512,6.34,0.82,4.51
gcresnet33ts,256,4729.63,108.241,512,19.88,4.76,11.68
resnet152,160,4727.44,108.291,512,60.19,5.9,11.51
resnet50d,224,4716.19,108.549,512,25.58,4.35,11.92
levit_512d,224,4713.6,108.608,512,92.5,5.85,11.3
fbnetv3_g,240,4705.48,108.797,512,16.62,1.28,14.87
cs3darknet_l,288,4693.2,109.078,512,21.16,6.16,10.83
resnext26ts,288,4684.61,109.274,512,10.3,3.07,13.31
bat_resnext26ts,256,4683.78,109.296,512,10.73,2.53,12.51
ghostnetv2_160,224,4679.39,109.403,512,12.39,0.42,7.23
levit_conv_512,224,4673.9,109.533,512,95.17,5.64,10.22
resnetaa50,224,4670.85,109.603,512,25.56,5.15,11.64
vit_relpos_medium_patch16_rpn_224,224,4656.87,109.924,512,38.73,7.97,17.02
deit3_medium_patch16_224,224,4656.19,109.948,512,38.85,8.0,15.93
vit_relpos_medium_patch16_224,224,4644.51,110.223,512,38.75,7.97,17.02
vit_srelpos_medium_patch16_224,224,4622.27,110.755,512,38.74,7.96,16.21
halonet26t,256,4618.99,110.833,512,12.48,3.19,11.69
mobileone_s1,224,4610.41,111.041,512,4.83,0.86,9.67
vit_relpos_medium_patch16_cls_224,224,4602.22,111.238,512,38.76,8.03,18.24
hgnetv2_b3,224,4595.96,111.389,512,16.29,1.78,5.07
ese_vovnet57b,224,4572.59,111.957,512,38.61,8.95,7.52
crossvit_15_240,240,4566.76,112.099,512,27.53,5.81,19.77
efficientnet_b3_pruned,300,4556.39,112.357,512,9.86,1.04,11.86
convit_tiny,224,4550.29,112.508,512,5.71,1.26,7.94
vit_small_r26_s32_224,224,4547.12,112.585,512,36.43,3.56,9.85
coat_lite_tiny,224,4545.49,112.628,512,5.72,1.6,11.65
seresnext26ts,288,4515.14,113.381,512,10.39,3.07,13.32
rexnetr_200,224,4479.28,114.291,512,16.52,1.59,15.11
eca_resnext26ts,288,4469.0,114.55,512,10.3,3.07,13.32
hiera_tiny_224,224,4466.63,114.616,512,27.91,4.91,17.13
gcresnext26ts,288,4454.09,114.939,512,10.48,3.07,13.33
mobilenetv4_hybrid_medium,320,4442.05,115.247,512,11.07,2.05,14.36
legacy_seresnet50,224,4439.83,115.307,512,28.09,3.88,10.6
coatnet_nano_cc_224,224,4438.79,115.334,512,13.76,2.24,15.02
coatnet_nano_rw_224,224,4405.71,116.2,512,15.14,2.41,15.41
res2net50_48w_2s,224,4402.09,116.289,512,25.29,4.18,11.72
levit_conv_512d,224,4399.04,116.376,512,92.5,5.85,11.3
skresnet34,224,4398.47,116.391,512,22.28,3.67,5.13
hgnet_small,224,4394.42,116.497,512,24.36,8.53,8.79
crossvit_15_dagger_240,240,4382.25,116.812,512,28.21,6.13,20.43
regnetx_032,224,4377.92,116.931,512,15.3,3.2,11.37
vit_base_resnet26d_224,224,4364.66,117.293,512,101.4,6.97,13.16
inception_v3,299,4356.9,117.497,512,23.83,5.73,8.97
resnetaa50d,224,4354.22,117.574,512,25.58,5.39,12.44
resnet50_clip_gap,224,4352.18,117.625,512,23.53,5.39,12.44
cs3sedarknet_l,288,4319.09,118.528,512,21.91,6.16,10.83
visformer_small,224,4314.89,118.648,512,40.22,4.88,11.43
tiny_vit_21m_224,224,4303.48,118.951,512,33.22,4.29,20.08
xcit_tiny_24_p16_224,224,4297.86,119.115,512,12.12,2.34,11.82
coat_lite_mini,224,4294.71,119.204,512,11.01,2.0,12.25
rexnet_200,224,4286.19,119.439,512,16.37,1.56,14.91
seresnet50,224,4275.51,119.739,512,28.09,4.11,11.13
vgg11_bn,224,4269.7,119.903,512,132.87,7.62,7.44
resnet26d,288,4243.79,120.634,512,16.01,4.29,13.48
repvit_m1_5,224,4236.5,120.842,512,14.64,2.31,15.7
hgnetv2_b5,224,4234.4,120.895,512,39.57,6.56,11.19
resnext50_32x4d,224,4219.51,121.328,512,25.03,4.26,14.4
hgnetv2_b4,288,4217.35,121.378,512,19.8,4.54,11.08
dla60x,224,4205.32,121.737,512,17.35,3.54,13.8
convnextv2_pico,224,4204.11,121.769,512,9.07,1.37,6.1
efficientvit_b2,224,4171.44,122.725,512,24.33,1.6,14.62
resnet50s,224,4166.01,122.887,512,25.68,5.47,13.52
haloregnetz_b,224,4138.03,123.716,512,11.68,1.97,11.94
resnet50_clip,224,4125.54,124.093,512,38.32,6.14,12.98
vit_medium_patch16_gap_240,240,4100.63,124.847,512,44.4,9.22,18.81
tf_efficientnet_b2,260,4099.99,124.866,512,9.11,1.02,13.83
fastvit_t8,256,4096.16,124.98,512,4.03,0.7,8.63
mobilevitv2_100,256,4094.56,125.029,512,4.9,1.84,16.08
cs3darknet_focus_x,256,4093.78,125.053,512,35.02,8.03,10.69
twins_svt_small,224,4054.15,126.278,512,24.06,2.94,13.75
davit_tiny,224,4047.96,126.469,512,28.36,4.54,18.89
convnextv2_atto,288,4046.67,126.51,512,3.71,0.91,6.3
nf_regnet_b3,288,4045.22,126.557,512,18.59,1.67,11.84
ecaresnet50t,224,4041.51,126.672,512,25.57,4.32,11.83
ecaresnet50d_pruned,288,4041.28,126.68,512,19.94,4.19,10.61
efficientnet_b0_gn,224,4037.71,126.792,512,5.29,0.42,6.75
resnetrs50,224,4033.27,126.931,512,35.69,4.48,12.14
seresnet50t,224,4031.57,126.983,512,28.1,4.32,11.83
efficientnet_b1,288,4029.31,127.056,512,7.79,0.97,15.46
resnetv2_50x1_bit,224,4026.74,127.136,512,25.55,4.23,11.11
resmlp_24_224,224,4020.57,127.334,512,30.02,5.96,10.91
ecaresnet50d,224,4020.32,127.34,512,25.58,4.35,11.93
nfnet_f0,192,4017.91,127.416,512,71.49,7.21,10.16
eca_nfnet_l0,224,4007.54,127.747,512,24.14,4.35,10.47
nfnet_l0,224,3992.6,128.226,512,35.07,4.36,10.47
resnet32ts,288,3982.87,128.533,512,17.96,5.86,14.65
cspresnet50,256,3967.99,129.011,512,21.62,4.54,11.5
resnext50d_32x4d,224,3958.52,129.328,512,25.05,4.5,15.2
efficientnet_cc_b1_8e,240,3942.69,129.849,512,39.72,0.75,15.44
resnet33ts,288,3941.35,129.892,512,19.68,6.02,14.75
convnext_tiny_hnf,224,3937.17,130.024,512,28.59,4.47,13.44
cs3darknet_x,256,3921.43,130.548,512,35.05,8.38,11.35
densenet121,224,3896.08,131.4,512,7.98,2.87,6.9
regnety_032,224,3890.61,131.586,512,19.44,3.2,11.26
efficientnet_b0_g8_gn,224,3878.78,131.986,512,6.56,0.66,6.75
res2net50_26w_4s,224,3870.41,132.27,512,25.7,4.28,12.61
repvgg_b1g4,224,3868.8,132.327,512,39.97,8.15,10.64
res2next50,224,3866.11,132.415,512,24.67,4.2,13.71
dla60_res2net,224,3861.83,132.566,512,20.85,4.15,12.34
efficientnet_b2,288,3845.58,133.127,512,9.11,1.12,16.2
dla60_res2next,224,3838.79,133.361,512,17.03,3.49,13.17
cspresnet50w,256,3836.45,133.436,512,28.12,5.04,12.19
mobilevit_s,256,3831.13,133.628,512,5.58,2.03,19.94
resnet152,176,3829.91,133.671,512,60.19,7.22,13.99
convnext_nano,288,3829.8,133.676,512,15.59,4.06,13.84
regnetz_b16,288,3824.0,133.877,512,9.72,2.39,16.43
nextvit_small,224,3822.2,133.942,512,31.76,5.81,18.44
mobileone_s2,224,3813.62,134.241,512,7.88,1.34,11.55
twins_pcpvt_small,224,3810.76,134.343,512,24.11,3.83,18.08
lambda_resnet26rpt_256,256,3805.0,134.547,512,10.99,3.16,11.87
cspresnet50d,256,3804.58,134.553,512,21.64,4.86,12.55
res2net50_14w_8s,224,3794.91,134.892,512,25.06,4.21,13.28
efficientvit_l1,224,3793.97,134.935,512,52.65,5.27,15.85
maxvit_pico_rw_256,256,3785.35,135.245,512,7.46,1.83,22.3
regnetz_c16,256,3784.6,135.273,512,13.46,2.51,16.57
efficientnetv2_rw_t,288,3781.16,135.396,512,13.65,3.19,16.42
seresnet33ts,288,3779.91,135.437,512,19.78,6.02,14.76
coatnet_rmlp_nano_rw_224,224,3777.49,135.526,512,15.15,2.62,20.34
maxvit_rmlp_pico_rw_256,256,3774.75,135.625,512,7.52,1.85,24.86
regnetx_040,224,3770.28,135.785,512,22.12,3.99,12.2
resnetblur50,224,3766.24,135.931,512,25.56,5.16,12.02
hgnet_tiny,288,3750.33,136.507,512,14.74,7.51,10.51
seresnetaa50d,224,3749.26,136.547,512,28.11,5.4,12.46
gcresnext50ts,256,3748.73,136.567,512,15.67,3.75,15.46
gcresnet50t,256,3737.26,136.986,512,25.9,5.42,14.67
tf_efficientnetv2_b3,300,3732.39,137.164,512,14.36,3.04,15.74
gcresnet33ts,288,3730.72,137.226,512,19.88,6.02,14.78
mobilenetv4_conv_large,320,3729.46,137.261,512,32.59,4.47,18.97
gcvit_xxtiny,224,3724.74,137.446,512,12.0,2.14,15.36
xcit_nano_12_p16_384,384,3719.39,137.643,512,3.05,1.64,12.15
mixnet_l,224,3706.35,138.118,512,7.33,0.58,10.84
gmixer_24_224,224,3700.37,138.35,512,24.72,5.28,14.45
tf_efficientnet_cc_b1_8e,240,3698.23,138.433,512,39.72,0.75,15.44
mobileone_s0,224,3695.13,138.546,512,5.29,1.09,15.48
hiera_small_224,224,3688.01,138.815,512,35.01,6.42,20.75
inception_next_tiny,224,3669.77,139.505,512,28.06,4.19,11.98
darknet53,256,3656.81,139.987,512,41.61,9.31,12.39
eca_resnet33ts,288,3656.44,140.002,512,19.68,6.02,14.76
resnet51q,256,3652.14,140.176,512,35.7,6.38,16.55
coatnet_0_rw_224,224,3650.72,140.225,512,27.44,4.43,18.73
legacy_seresnext50_32x4d,224,3646.33,140.404,512,27.56,4.26,14.42
res2net50d,224,3644.05,140.488,512,25.72,4.52,13.41
seresnext50_32x4d,224,3641.64,140.579,512,27.56,4.26,14.42
vit_medium_patch16_gap_256,256,3640.49,140.628,512,38.86,10.59,22.15
gc_efficientnetv2_rw_t,288,3639.71,140.657,512,13.68,3.2,16.45
vit_base_patch32_384,384,3635.68,140.814,512,88.3,13.06,16.5
vit_base_patch32_clip_384,384,3633.18,140.91,512,88.3,13.06,16.5
resnetrs101,192,3609.77,141.824,512,63.62,6.04,12.7
darknetaa53,256,3608.53,141.868,512,36.02,7.97,12.39
cs3sedarknet_x,256,3607.12,141.918,512,35.4,8.38,11.35
tf_mixnet_l,224,3591.49,142.547,512,7.33,0.58,10.84
edgenext_small,320,3557.62,143.904,512,5.59,1.97,14.16
resnetblur50d,224,3555.32,143.996,512,25.58,5.4,12.82
vit_base_r26_s32_224,224,3550.43,144.195,512,101.38,6.81,12.36
convnext_nano_ols,288,3546.6,144.351,512,15.65,4.38,15.5
mobilenetv3_large_150d,320,3539.35,144.647,512,14.62,1.61,19.29
vit_medium_patch16_reg1_gap_256,256,3508.51,145.916,512,38.88,10.63,22.26
vgg13,224,3498.85,146.321,512,133.05,11.31,12.25
resnet26t,320,3498.14,146.349,512,16.01,5.24,16.44
resnest26d,224,3480.3,147.101,512,17.07,3.64,9.97
vit_medium_patch16_reg4_gap_256,256,3477.69,147.213,512,38.88,10.76,22.6
vit_large_patch32_224,224,3463.8,147.8,512,305.51,15.39,13.3
resnetv2_101,224,3460.77,147.93,512,44.54,7.83,16.23
xcit_small_12_p16_224,224,3440.46,148.803,512,26.25,4.82,12.58
hieradet_small,256,3437.33,148.94,512,34.72,8.51,27.76
convnextv2_femto,288,3432.62,149.144,512,5.23,1.3,7.56
resnet61q,256,3430.48,149.237,512,36.85,7.8,17.01
efficientnet_lite3,300,3422.52,149.581,512,8.2,1.65,21.85
densenetblur121d,224,3387.08,151.149,512,8.0,3.11,7.9
edgenext_base,256,3353.12,152.68,512,18.51,3.85,15.58
resnet101,224,3320.94,154.16,512,44.55,7.83,16.23
vit_base_resnet50d_224,224,3313.04,154.527,512,110.97,8.73,16.92
cspresnext50,256,3309.23,154.7,512,20.57,4.05,15.86
resnet50_mlp,256,3304.29,154.934,512,26.65,7.05,16.25
crossvit_18_240,240,3297.72,155.242,512,43.27,9.05,26.26
resnetv2_101d,224,3282.49,155.964,512,44.56,8.07,17.04
wide_resnet50_2,224,3280.9,156.042,512,68.88,11.43,14.4
hgnetv2_b2,288,3279.23,156.12,512,11.22,1.89,6.8
edgenext_small_rw,320,3277.42,156.207,512,7.83,2.46,14.85
dla102,224,3273.77,156.379,512,33.27,7.19,14.18
regnetx_080,224,3273.2,156.408,512,39.57,8.02,14.06
focalnet_tiny_srf,224,3262.86,156.903,512,28.43,4.42,16.32
cs3edgenet_x,256,3259.76,157.05,512,47.82,11.53,12.92
densenet169,224,3257.61,157.156,512,14.15,3.4,7.3
repvgg_b1,224,3252.46,157.405,512,57.42,13.16,10.64
ecaresnetlight,288,3245.31,157.753,512,30.16,6.79,13.91
coatnet_bn_0_rw_224,224,3244.97,157.769,512,27.44,4.67,22.04
hrnet_w18_ssld,224,3243.03,157.865,512,21.3,4.32,16.31
fbnetv3_g,288,3240.2,158.003,512,16.62,1.77,21.09
nf_regnet_b3,320,3237.1,158.154,512,18.59,2.05,14.61
seresnext26t_32x4d,288,3235.31,158.238,512,16.81,4.46,16.68
coatnet_rmlp_0_rw_224,224,3235.0,158.255,512,27.45,4.72,24.89
mobilevitv2_125,256,3226.23,158.687,512,7.48,2.86,20.1
hrnet_w18,224,3222.49,158.851,512,21.3,4.32,16.31
resnet101c,224,3220.87,158.948,512,44.57,8.08,17.04
eva02_small_patch14_224,224,3219.95,158.996,512,21.62,6.14,18.28
dm_nfnet_f0,192,3211.06,159.436,512,71.49,7.21,10.16
seresnext26d_32x4d,288,3205.61,159.698,512,16.81,4.51,16.85
pit_b_224,224,3203.54,159.809,512,73.76,12.42,32.94
ese_vovnet39b,288,3197.44,160.116,512,24.57,11.71,11.13
resnetv2_50,288,3191.29,160.421,512,25.55,6.79,18.37
pit_b_distilled_224,224,3189.97,160.488,512,74.79,12.5,33.07
nf_seresnet50,224,3183.77,160.801,512,28.09,4.21,11.13
nf_ecaresnet50,224,3182.04,160.888,512,25.56,4.21,11.13
poolformerv2_s12,224,3173.35,161.331,512,11.89,1.83,5.53
crossvit_18_dagger_240,240,3169.03,161.547,512,44.27,9.5,27.03
efficientvit_b2,256,3168.98,161.551,512,24.33,2.09,19.03
ecaresnet101d_pruned,288,3165.16,161.747,512,24.88,5.75,12.71
wide_resnet101_2,176,3159.16,162.057,512,126.89,14.31,13.18
resnet101d,224,3154.71,162.283,512,44.57,8.08,17.04
mobileone_s3,224,3137.93,163.149,512,10.17,1.94,13.85
rdnet_tiny,224,3116.85,164.255,512,23.86,5.06,15.98
ecaresnet50t,256,3090.6,165.649,512,25.57,5.64,15.45
cs3darknet_x,288,3089.12,165.725,512,35.05,10.6,14.36
pvt_v2_b2,224,3075.64,166.454,512,25.36,4.05,27.53
ecaresnet26t,320,3068.22,166.857,512,16.01,5.24,16.44
convnextv2_nano,224,3060.53,167.274,512,15.62,2.46,8.37
gmlp_s16_224,224,3054.3,167.617,512,19.42,4.42,15.1
eva02_tiny_patch14_336,336,3045.61,168.099,512,5.76,4.68,27.16
tf_efficientnet_lite3,300,3034.72,168.698,512,8.2,1.65,21.85
nf_resnet50,256,3032.36,168.828,512,25.56,5.46,14.52
resnest50d_1s4x24d,224,3022.48,169.381,512,25.68,4.43,13.57
efficientnetv2_s,288,3014.62,169.825,512,21.46,4.75,20.13
efficientvit_l2,224,3006.41,170.285,512,63.71,6.97,19.58
sehalonet33ts,256,3003.76,170.438,512,13.69,3.55,14.7
resnet50,288,3001.95,170.541,512,25.56,6.8,18.37
rexnetr_300,224,2999.93,170.656,512,34.81,3.39,22.16
resnetaa101d,224,2990.5,171.195,512,44.57,9.12,17.56
resnet101_clip_gap,224,2990.13,171.215,512,42.52,9.11,17.56
focalnet_tiny_lrf,224,2989.28,171.265,512,28.65,4.49,17.76
mobilenetv4_hybrid_medium,384,2986.24,171.437,512,11.07,3.01,21.18
convnext_small,224,2979.27,171.842,512,50.22,8.71,21.56
skresnet50,224,2972.51,172.23,512,25.8,4.11,12.5
nextvit_base,224,2953.28,173.349,512,44.82,8.29,23.71
res2net50_26w_6s,224,2950.38,173.519,512,37.05,6.33,15.28
convnext_tiny,288,2942.29,174.001,512,28.59,7.39,22.21
vgg13_bn,224,2930.98,174.674,512,133.05,11.33,12.25
gcresnet50t,288,2928.81,174.801,512,25.9,6.86,18.57
regnetv_040,288,2924.99,175.029,512,20.64,6.6,20.3
cs3se_edgenet_x,256,2921.53,175.231,512,50.72,11.53,12.94
gcresnext50ts,288,2907.55,176.079,512,15.67,4.75,19.57
vgg16,224,2904.86,176.241,512,138.36,15.47,13.56
gcvit_xtiny,224,2901.49,176.449,512,19.98,2.93,20.26
resnet101s,224,2898.69,176.618,512,44.67,9.19,18.64
dpn68b,288,2892.89,176.97,512,12.61,3.89,17.3
resnext101_32x8d,176,2887.72,177.288,512,88.79,10.33,19.37
efficientnet_b3,288,2886.07,177.389,512,12.23,1.63,21.49
resnet101_clip,224,2884.25,177.502,512,56.26,9.81,18.08
resnet51q,288,2880.39,177.741,512,35.7,8.07,20.94
tresnet_v2_l,224,2874.87,178.082,512,46.17,8.85,16.34
regnety_040,288,2873.78,178.146,512,20.65,6.61,20.3
darknet53,288,2865.69,178.639,512,41.61,11.78,15.68
efficientnetv2_rw_s,288,2865.52,178.661,512,23.94,4.91,21.41
vit_base_patch16_siglip_gap_224,224,2859.98,179.01,512,85.8,17.49,23.75
fastvit_t12,256,2859.48,179.037,512,7.55,1.42,12.42
vit_base_patch16_224_miil,224,2846.99,179.826,512,94.4,17.59,23.91
deit_base_patch16_224,224,2846.84,179.834,512,86.57,17.58,23.9
skresnet50d,224,2843.8,180.027,512,25.82,4.36,13.31
vit_base_patch16_224,224,2843.0,180.077,512,86.57,17.58,23.9
vit_base_patch16_clip_224,224,2840.98,180.206,512,86.57,17.58,23.9
xcit_nano_12_p8_224,224,2838.89,180.339,512,3.05,2.16,15.71
mixer_b16_224,224,2837.28,180.433,512,59.88,12.62,14.53
vitamin_small_224,224,2831.28,180.823,512,22.03,5.92,26.38
vit_base_patch16_siglip_224,224,2830.29,180.883,512,92.88,17.73,24.06
darknetaa53,288,2829.22,180.948,512,36.02,10.08,15.68
deit_base_distilled_patch16_224,224,2828.65,180.986,512,87.34,17.68,24.05
legacy_seresnet101,224,2827.17,181.086,512,49.33,7.61,15.74
regnetx_064,224,2812.17,182.051,512,26.21,6.49,16.37
resnet50t,288,2809.9,182.199,512,25.57,7.14,19.53
vit_base_mci_224,224,2809.18,182.246,512,86.35,17.73,24.65
cs3sedarknet_x,288,2809.03,182.251,512,35.4,10.6,14.37
nest_tiny,224,2808.71,182.275,512,17.06,5.83,25.48
resnet50d,288,2794.35,183.212,512,25.58,7.19,19.7
volo_d1_224,224,2792.28,183.348,512,26.63,6.94,24.43
resnetaa50,288,2787.79,183.642,512,25.56,8.52,19.24
maxxvit_rmlp_nano_rw_256,256,2787.18,183.665,512,16.78,4.37,26.05
dla102x,224,2778.92,184.23,512,26.31,5.89,19.42
vit_base_patch16_gap_224,224,2767.32,185.003,512,86.57,17.49,25.59
sequencer2d_s,224,2764.98,185.16,512,27.65,4.96,11.31
nest_tiny_jx,224,2762.24,185.343,512,17.06,5.83,25.48
seresnet101,224,2762.13,185.343,512,49.33,7.84,16.27
efficientformer_l3,224,2749.8,186.18,512,31.41,3.93,12.01
resnext101_32x4d,224,2746.89,186.38,512,44.18,8.01,21.23
swin_tiny_patch4_window7_224,224,2744.11,186.57,512,28.29,4.51,17.06
cs3sedarknet_xdw,256,2728.51,187.612,512,21.6,5.97,17.18
fastvit_sa12,256,2725.03,187.874,512,11.58,1.96,14.03
ese_vovnet99b,224,2723.96,187.941,512,63.2,16.51,11.27
fastvit_s12,256,2721.82,188.087,512,9.47,1.82,13.67
resnet61q,288,2721.04,188.149,512,36.85,9.87,21.52
twins_pcpvt_base,224,2714.36,188.612,512,43.83,6.68,25.25
beit_base_patch16_224,224,2706.18,189.182,512,86.53,17.58,23.9
vit_base_patch32_clip_448,448,2701.0,189.546,512,88.34,17.93,23.9
resmlp_36_224,224,2696.43,189.864,512,44.69,8.91,16.33
tresnet_l,224,2694.34,190.016,512,55.99,10.9,11.9
beitv2_base_patch16_224,224,2693.77,190.055,512,86.53,17.58,23.9
rexnetr_200,288,2689.11,190.383,512,16.52,2.62,24.96
rexnet_300,224,2684.56,190.707,512,34.71,3.44,22.4
pvt_v2_b2_li,224,2681.31,190.936,512,22.55,3.91,27.6
maxxvitv2_nano_rw_256,256,2667.75,191.907,512,23.7,6.26,23.05
mobilevitv2_150,256,2662.33,192.301,512,10.59,4.09,24.11
ecaresnet101d,224,2660.63,192.423,512,44.57,8.08,17.07
cspdarknet53,256,2655.45,192.786,512,27.64,6.57,16.81
poolformer_s24,224,2646.59,193.442,512,21.39,3.41,10.68
vit_base_patch16_rpn_224,224,2645.68,193.504,512,86.54,17.49,23.75
cait_xxs24_224,224,2634.11,194.359,512,11.96,2.53,20.29
mobilenetv4_conv_large,384,2634.1,194.358,512,32.59,6.43,27.31
mixnet_xl,224,2620.78,195.34,512,11.9,0.93,14.57
deit3_base_patch16_224,224,2617.49,195.593,512,86.59,17.58,23.9
maxvit_tiny_rw_224,224,2616.24,195.687,512,29.06,5.11,33.11
vit_relpos_base_patch16_rpn_224,224,2614.87,195.79,512,86.41,17.51,24.97
vit_relpos_base_patch16_224,224,2608.2,196.291,512,86.43,17.51,24.97
resnetaa50d,288,2606.94,196.383,512,25.58,8.92,20.57
vit_relpos_base_patch16_clsgap_224,224,2596.29,197.191,512,86.43,17.6,25.12
res2net101_26w_4s,224,2594.73,197.298,512,45.21,8.1,18.45
resnetblur101d,224,2592.77,197.455,512,44.57,9.12,17.94
vit_relpos_base_patch16_cls_224,224,2592.66,197.467,512,86.43,17.6,25.12
hgnet_small,288,2591.82,197.53,512,24.36,14.09,14.53
tf_efficientnetv2_s,300,2589.86,197.681,512,21.46,5.35,22.73
resnetv2_101x1_bit,224,2583.09,198.195,512,44.54,8.04,16.23
regnetz_d32,256,2582.87,198.213,512,27.58,5.98,23.74
hgnetv2_b3,288,2571.48,199.079,512,16.29,2.94,8.38
vit_betwixt_patch16_reg1_gap_256,256,2567.82,199.378,512,60.4,16.32,27.83
nf_resnet101,224,2567.19,199.426,512,44.55,8.01,16.23
regnetz_d8,256,2566.72,199.463,512,23.37,3.97,23.74
sebotnet33ts_256,256,2559.67,200.012,512,13.7,3.89,17.46
convnextv2_pico,288,2545.21,201.143,512,9.07,2.27,10.08
vit_betwixt_patch16_reg4_gap_256,256,2540.19,201.546,512,60.4,16.52,28.24
seresnet50,288,2537.63,201.746,512,28.09,6.8,18.39
hgnetv2_b5,288,2531.16,202.26,512,39.57,10.84,18.5
mixer_l32_224,224,2528.06,202.513,512,206.94,11.27,19.86
cs3edgenet_x,288,2527.64,202.544,512,47.82,14.59,16.36
davit_small,224,2525.76,202.697,512,49.75,8.8,30.49
regnetz_040,256,2513.52,203.672,512,27.12,4.06,24.19
vit_small_patch16_384,384,2513.48,203.688,512,22.2,15.52,50.78
regnetz_040_h,256,2511.58,203.823,512,28.94,4.12,24.29
xcit_tiny_12_p16_384,384,2508.59,204.083,512,6.72,3.64,18.26
efficientvit_b2,288,2500.66,204.73,512,24.33,2.64,24.03
densenet201,224,2499.62,204.817,512,20.01,4.34,7.85
resnext50_32x4d,288,2498.32,204.925,512,25.03,7.04,23.81
res2net101d,224,2492.38,205.404,512,45.23,8.35,19.25
flexivit_base,240,2489.7,205.633,512,86.59,20.29,28.36
vgg19,224,2485.75,205.96,512,143.67,19.63,14.86
vit_small_resnet50d_s16_224,224,2485.28,206.0,512,57.53,13.48,24.82
vgg16_bn,224,2469.22,207.339,512,138.37,15.5,13.56
coat_lite_small,224,2466.91,207.531,512,19.84,3.96,22.09
hiera_base_224,224,2456.41,208.411,512,51.52,9.4,30.42
swin_s3_tiny_224,224,2454.84,208.551,512,28.33,4.64,19.13
res2net50_26w_8s,224,2448.88,209.049,512,48.4,8.37,17.95
regnetz_c16,320,2432.34,210.483,512,13.46,3.92,25.88
eca_nfnet_l0,288,2420.75,211.492,512,24.14,7.12,17.29
resnetv2_152,224,2415.11,211.982,512,60.19,11.55,22.56
nfnet_l0,288,2412.74,212.191,512,35.07,7.13,17.29
nextvit_large,224,2408.12,212.596,512,57.87,10.78,28.99
repvit_m2_3,224,2406.51,212.743,512,23.69,4.57,26.21
regnety_064,224,2405.63,212.821,512,30.58,6.39,16.41
ecaresnet50t,288,2404.89,212.887,512,25.57,7.14,19.55
regnetv_064,224,2402.43,213.102,512,30.58,6.39,16.41
resnet101d,256,2401.57,213.179,512,44.57,10.55,22.25
seresnet50t,288,2398.87,213.42,512,28.1,7.14,19.55
halonet50ts,256,2395.15,213.751,512,22.73,5.3,19.2
nf_regnet_b4,320,2392.51,213.987,512,30.21,3.29,19.88
ecaresnet50d,288,2392.47,213.991,512,25.58,7.19,19.72
convnext_tiny_hnf,288,2383.27,214.808,512,28.59,7.39,22.21
regnety_080,224,2362.59,216.697,512,39.18,8.0,17.97
nf_resnet50,288,2360.57,216.882,512,25.56,6.88,18.37
tf_efficientnet_b3,300,2360.52,216.883,512,12.23,1.87,23.83
seresnext101_32x4d,224,2356.8,217.226,512,48.96,8.02,21.26
resnext50d_32x4d,288,2354.66,217.422,512,25.05,7.44,25.13
legacy_seresnext101_32x4d,224,2353.24,217.559,512,48.96,8.02,21.26
resnet152,224,2347.77,218.062,512,60.19,11.56,22.56
vit_small_patch16_36x1_224,224,2346.24,218.206,512,64.67,13.71,35.69
resnest50d,224,2340.99,218.697,512,27.48,5.4,14.36
mobileone_s4,224,2340.57,218.737,512,14.95,3.04,17.74
repvgg_b2,224,2337.11,219.056,512,89.02,20.45,12.9
hiera_small_abswin_256,256,2334.48,219.308,512,34.36,8.29,26.38
hrnet_w32,224,2333.41,219.405,512,41.23,8.97,22.02
efficientnet_b3,320,2331.82,219.556,512,12.23,2.01,26.52
vit_base_patch16_clip_quickgelu_224,224,2329.86,219.738,512,86.19,17.58,23.9
resnetv2_152d,224,2328.25,219.891,512,60.2,11.8,23.36
efficientvit_l2,256,2320.46,220.631,512,63.71,9.09,25.49
resnetv2_50d_gn,224,2319.35,220.732,512,25.57,4.38,11.92
inception_v4,299,2318.78,220.781,512,42.68,12.28,15.09
regnety_032,288,2316.01,221.053,512,19.44,5.29,18.61
resnet152c,224,2297.8,222.806,512,60.21,11.8,23.36
repvgg_b2g4,224,2294.12,223.163,512,61.76,12.63,12.9
densenet121,288,2267.9,225.743,512,7.98,4.74,11.41
vit_base_patch16_xp_224,224,2265.93,225.941,512,86.51,17.56,23.9
legacy_xception,299,2265.86,225.947,512,22.86,8.4,35.83
nfnet_f0,256,2265.35,225.998,512,71.49,12.62,18.05
resnet152d,224,2264.89,226.044,512,60.21,11.8,23.36
coatnet_rmlp_1_rw_224,224,2261.48,226.371,512,41.69,7.85,35.47
mobilevitv2_175,256,2260.07,226.526,512,14.25,5.54,28.13
pvt_v2_b3,224,2255.37,227.0,512,45.24,6.92,37.7
deit3_small_patch16_384,384,2253.41,227.196,512,22.21,15.52,50.78
xception41p,299,2252.41,227.29,512,26.91,9.25,39.86
seresnetaa50d,288,2250.46,227.494,512,28.11,8.92,20.59
efficientnet_el,300,2247.58,227.785,512,10.59,8.0,30.7
vit_medium_patch16_rope_reg1_gap_256,256,2246.95,227.851,512,38.74,10.63,22.26
efficientnet_el_pruned,300,2246.64,227.882,512,10.59,8.0,30.7
ese_vovnet39b_evos,224,2241.07,228.448,512,24.58,7.07,6.74
resnetblur50,288,2230.72,229.506,512,25.56,8.52,19.87
inception_next_small,224,2228.86,229.7,512,49.37,8.36,19.27
swinv2_cr_tiny_224,224,2222.44,230.365,512,28.33,4.66,28.45
vit_small_patch16_18x2_224,224,2220.98,230.512,512,64.67,13.71,35.69
maxvit_nano_rw_256,256,2207.5,231.919,512,15.45,4.46,30.28
dla169,224,2206.1,232.067,512,53.39,11.6,20.2
maxvit_rmlp_nano_rw_256,256,2204.07,232.283,512,15.5,4.47,31.92
vit_base_patch16_siglip_gap_256,256,2196.58,233.076,512,85.84,23.13,33.23
regnetx_160,224,2194.16,233.329,512,54.28,15.99,25.52
swinv2_cr_tiny_ns_224,224,2192.78,233.479,512,28.33,4.66,28.45
regnety_080_tv,224,2184.79,234.333,512,39.38,8.51,19.73
efficientvit_b3,224,2179.4,234.913,512,48.65,3.99,26.9
resnet50_gn,224,2179.17,234.937,512,25.56,4.14,11.11
vit_base_patch16_siglip_256,256,2176.19,235.258,512,92.93,23.44,33.63
seresnext50_32x4d,288,2170.0,235.928,512,27.56,7.04,23.82
rdnet_small,224,2169.02,236.035,512,50.44,8.74,22.55
sequencer2d_m,224,2166.41,236.323,512,38.31,6.55,14.26
tf_efficientnet_el,300,2156.43,237.414,512,10.59,8.0,30.7
mobilenetv4_hybrid_medium,448,2154.42,237.637,512,11.07,4.2,29.64
coatnet_1_rw_224,224,2142.22,238.989,512,41.72,8.04,34.6
edgenext_base,320,2141.55,239.066,512,18.51,6.01,24.32
vgg19_bn,224,2133.62,239.953,512,143.68,19.66,14.86
resnet152s,224,2129.43,240.425,512,60.32,12.92,24.96
mvitv2_tiny,224,2125.43,240.877,512,24.17,4.7,21.16
vit_base_patch16_reg4_gap_256,256,2118.83,241.627,512,86.62,23.5,33.89
resnetblur50d,288,2115.44,242.017,512,25.58,8.92,21.19
vit_mediumd_patch16_reg4_gap_256,256,2111.48,242.47,512,64.11,17.87,37.57
convnextv2_tiny,224,2107.29,242.943,512,28.64,4.47,13.44
mobilenetv4_conv_aa_large,384,2105.52,243.157,512,32.59,7.07,32.29
maxvit_tiny_tf_224,224,2103.05,243.442,512,30.92,5.6,35.78
convnext_base,224,2096.16,244.241,512,88.59,15.38,28.75
resnetv2_50d_frn,224,2077.9,246.382,512,25.59,4.33,11.92
botnet50ts_256,256,2077.88,246.39,512,22.74,5.54,22.23
regnetx_120,224,2069.68,247.365,512,46.11,12.13,21.37
coatnet_rmlp_1_rw2_224,224,2068.04,247.549,512,41.72,8.11,40.13
convit_small,224,2065.19,247.902,512,27.78,5.76,17.87
hrnet_w30,224,2062.37,248.224,512,37.71,8.15,21.21
nf_ecaresnet101,224,2050.3,249.705,512,44.55,8.01,16.27
nf_seresnet101,224,2045.44,250.297,512,49.33,8.02,16.27
coatnet_0_224,224,2040.72,250.864,512,25.04,4.58,24.01
resnetv2_101,288,2033.05,251.823,512,44.54,12.94,26.83
dpn92,224,2023.11,253.058,512,37.67,6.54,18.21
focalnet_small_srf,224,2004.67,255.387,512,49.89,8.62,26.26
crossvit_base_240,240,1979.19,258.671,512,105.03,21.22,36.33
densenetblur121d,288,1978.97,258.705,512,8.0,5.14,13.06
fastvit_mci0,256,1974.2,259.33,512,11.41,2.42,18.29
twins_svt_base,224,1973.81,259.382,512,56.07,8.59,26.33
hgnetv2_b6,224,1973.41,259.428,512,75.26,16.88,21.23
legacy_seresnet152,224,1972.16,259.595,512,66.82,11.33,22.08
hiera_base_plus_224,224,1970.81,259.766,512,69.9,12.67,37.98
ecaresnet50t,320,1958.88,261.354,512,25.57,8.82,24.13
regnety_040_sgn,224,1956.43,261.685,512,20.65,4.03,12.29
wide_resnet50_2,288,1954.98,261.88,512,68.88,18.89,23.81
resnet101,288,1954.77,261.909,512,44.55,12.95,26.83
twins_pcpvt_large,224,1953.99,262.014,512,60.99,9.84,35.82
wide_resnet101_2,224,1953.76,262.043,512,126.89,22.8,21.23
densenet161,224,1946.37,263.038,512,28.68,7.79,11.06
dla102x2,224,1944.36,263.309,512,41.28,9.34,29.91
seresnet152,224,1938.57,264.096,512,66.82,11.57,22.61
halo2botnet50ts_256,256,1933.79,264.747,512,22.64,5.02,21.78
regnety_120,224,1926.91,265.695,512,51.82,12.14,21.38
gcvit_tiny,224,1921.55,266.438,512,28.22,4.79,29.82
mobilenetv4_conv_large,448,1919.71,266.685,512,32.59,8.75,37.17
repvgg_b3g4,224,1914.94,267.358,512,83.83,17.89,15.1
skresnext50_32x4d,224,1910.2,268.02,512,27.48,4.5,17.18
xcit_tiny_12_p8_224,224,1904.82,268.773,512,6.71,4.81,23.6
caformer_s18,224,1897.73,269.774,512,26.34,4.13,19.39
regnetz_b16_evos,224,1888.78,271.059,512,9.74,1.43,9.95
hgnet_base,224,1879.47,272.399,512,71.58,25.14,15.47
maxxvit_rmlp_tiny_rw_256,256,1876.98,272.766,512,29.64,6.66,39.76
xception41,299,1871.32,273.587,512,26.97,9.28,39.86
cs3se_edgenet_x,320,1859.22,275.361,512,50.72,18.01,20.21
hrnet_w18_ssld,288,1859.2,275.374,512,21.3,7.14,26.96
tresnet_xl,224,1856.4,275.789,512,78.44,15.2,15.34
convnextv2_nano,288,1850.39,276.675,512,15.62,4.06,13.84
focalnet_small_lrf,224,1837.71,278.592,512,50.34,8.74,28.61
xcit_small_24_p16_224,224,1834.87,279.023,512,47.67,9.1,23.64
efficientvit_l2,288,1824.85,280.553,512,63.71,11.51,32.19
nest_small,224,1822.19,280.962,512,38.35,10.35,40.04
convnext_small,288,1809.03,283.01,512,50.22,14.39,35.65
repvgg_b3,224,1809.03,283.005,512,123.09,29.16,15.1
resnext101_64x4d,224,1807.89,283.188,512,83.46,15.52,31.21
vit_base_patch16_plus_240,240,1806.76,283.363,512,117.56,27.41,33.08
vit_relpos_base_patch16_plus_240,240,1802.12,284.093,512,117.38,27.3,34.33
nest_small_jx,224,1801.11,284.248,512,38.35,10.35,40.04
samvit_base_patch16_224,224,1797.25,284.868,512,86.46,17.54,24.54
vit_small_patch8_224,224,1797.1,284.885,512,21.67,22.44,80.84
resnext101_32x8d,224,1792.69,285.588,512,88.79,16.48,31.21
resnetaa101d,288,1777.27,288.066,512,44.57,15.07,29.03
poolformer_s36,224,1773.95,288.607,512,30.86,5.0,15.82
vit_large_r50_s32_224,224,1771.48,289.009,512,328.99,19.58,24.41
cait_xxs36_224,224,1769.48,289.336,512,17.3,3.77,30.34
efficientnet_b4,320,1763.52,290.311,512,19.34,3.13,34.76
convformer_s18,224,1757.98,291.227,512,26.77,3.96,15.82
davit_base,224,1755.64,291.611,512,87.95,15.51,40.66
dpn98,224,1751.0,292.387,512,61.57,11.73,25.2
dm_nfnet_f0,256,1740.31,294.174,512,71.49,12.62,18.05
mobilenetv4_hybrid_large,384,1735.11,295.061,512,37.76,7.77,34.52
eca_nfnet_l1,256,1730.61,295.834,512,41.41,9.62,22.04
resnetv2_50d_evos,224,1724.23,296.927,512,25.59,4.33,11.92
hrnet_w40,224,1723.16,297.088,512,57.56,12.75,25.29
resnet152d,256,1717.79,298.038,512,60.21,15.41,30.51
tnt_s_patch16_224,224,1716.84,298.207,512,23.76,5.24,24.37
eva02_base_patch16_clip_224,224,1710.74,299.27,512,86.26,17.62,26.32
swin_small_patch4_window7_224,224,1706.58,299.999,512,49.61,8.77,27.47
inception_resnet_v2,299,1690.61,302.813,512,55.84,13.18,25.06
vit_betwixt_patch16_rope_reg4_gap_256,256,1681.28,304.517,512,60.23,16.52,28.24
efficientvit_b3,256,1678.52,305.014,512,48.65,5.2,35.01
regnety_160,224,1676.75,305.336,512,83.59,15.96,23.04
convnext_tiny,384,1663.32,307.803,512,28.59,13.14,39.48
xception65p,299,1663.22,307.807,512,39.82,13.91,52.48
regnetz_d32,320,1656.99,308.976,512,27.58,9.33,37.08
efficientformerv2_s0,224,1656.06,309.153,512,3.6,0.41,5.3
efficientnetv2_s,384,1651.63,309.97,512,21.46,8.44,35.77
resnet200,224,1649.35,310.41,512,64.67,15.07,32.19
nf_regnet_b4,384,1647.49,310.762,512,30.21,4.7,28.61
regnetz_d8,320,1642.91,311.627,512,23.37,6.19,37.08
nfnet_f1,224,1642.07,311.777,512,132.63,17.87,22.94
seresnet101,288,1638.36,312.492,512,49.33,12.95,26.87
tf_efficientnetv2_s,384,1634.05,313.314,512,21.46,8.44,35.77
regnetz_040,320,1629.96,314.078,512,27.12,6.35,37.78
resnext101_32x4d,288,1628.74,314.339,512,44.18,13.24,35.09
seresnext101_64x4d,224,1627.86,314.507,512,88.23,15.53,31.25
maxvit_tiny_rw_256,256,1627.49,314.58,512,29.07,6.74,44.35
maxvit_rmlp_tiny_rw_256,256,1624.07,315.242,512,29.15,6.77,46.92
regnetz_040_h,320,1623.42,315.367,512,28.94,6.43,37.94
poolformerv2_s24,224,1621.47,315.747,512,21.34,3.42,10.68
pvt_v2_b5,224,1619.65,316.103,512,81.96,11.76,50.92
seresnext101_32x8d,224,1619.59,316.115,512,93.57,16.48,31.25
resnest50d_4s2x40d,224,1617.32,316.558,512,30.42,4.4,17.94
efficientnetv2_rw_s,384,1616.73,316.671,512,23.94,8.72,38.03
pvt_v2_b4,224,1616.7,316.679,512,62.56,10.14,53.74
convnext_base,256,1615.94,316.827,512,88.59,20.09,37.55
mvitv2_small,224,1605.45,318.899,512,34.87,7.0,28.08
coat_tiny,224,1603.76,319.236,512,5.5,4.35,27.2
mobilevitv2_200,256,1595.83,320.821,512,18.45,7.22,32.15
swinv2_tiny_window8_256,256,1595.55,320.875,512,28.35,5.96,24.57
fastvit_sa24,256,1588.77,322.245,512,21.55,3.8,24.32
resnetrs101,288,1587.5,322.503,512,63.62,13.56,28.53
vit_base_r50_s16_224,224,1585.43,322.924,512,97.89,21.66,35.28
seresnext101d_32x8d,224,1581.7,323.686,512,93.59,16.72,32.05
mvitv2_small_cls,224,1581.51,323.728,512,34.87,7.04,28.17
ecaresnet101d,288,1578.08,324.428,512,44.57,13.35,28.19
inception_next_base,224,1571.68,325.752,512,86.67,14.85,25.69
mixnet_xxl,224,1570.27,326.029,512,23.96,2.04,23.43
vit_medium_patch16_gap_384,384,1558.61,328.483,512,39.03,26.08,67.54
mobilenetv4_conv_aa_large,448,1557.91,328.629,512,32.59,9.63,43.94
vit_small_r26_s32_384,384,1549.48,330.418,512,36.47,10.43,29.85
efficientformerv2_s1,224,1538.12,332.859,512,6.19,0.67,7.66
volo_d2_224,224,1537.61,332.969,512,58.68,14.34,41.34
resnetblur101d,288,1534.28,333.687,512,44.57,15.07,29.65
resnet101d,320,1514.34,338.086,512,44.57,16.48,34.77
rdnet_base,224,1513.06,338.372,512,87.45,15.4,31.14
hiera_base_abswin_256,256,1498.55,341.631,512,51.27,12.46,40.7
maxvit_rmlp_small_rw_224,224,1496.71,342.069,512,64.9,10.75,49.3
seresnextaa101d_32x8d,224,1495.01,342.457,512,93.59,17.25,34.16
coatnet_1_224,224,1490.49,343.476,512,42.23,8.7,39.0
hrnet_w48_ssld,224,1486.26,344.473,512,77.47,17.34,28.56
hrnet_w48,224,1482.42,345.349,512,77.47,17.34,28.56
efficientnetv2_m,320,1471.33,347.961,512,54.14,11.01,39.97
regnetz_e8,256,1443.64,354.642,512,57.7,9.91,40.94
resnetrs152,256,1435.38,356.681,512,86.62,15.59,30.83
seresnet152d,256,1433.76,357.085,512,66.84,15.42,30.56
focalnet_base_srf,224,1432.2,357.455,512,88.15,15.28,35.01
eva02_small_patch14_336,336,1426.95,358.791,512,22.13,15.48,54.33
regnety_064,288,1425.13,359.247,512,30.58,10.56,27.11
maxvit_tiny_pm_256,256,1425.01,359.276,512,30.09,6.61,47.9
regnetv_064,288,1424.51,359.406,512,30.58,10.55,27.11
regnety_080,288,1420.63,360.386,512,39.18,13.22,29.69
resnet50x4_clip_gap,288,1412.45,362.468,512,65.62,19.57,34.11
tiny_vit_21m_384,384,1405.09,364.373,512,21.23,13.77,77.83
seresnext101_32x4d,288,1404.5,364.525,512,48.96,13.25,35.12
crossvit_15_dagger_408,408,1400.47,365.57,512,28.5,21.45,95.05
sequencer2d_l,224,1398.42,366.113,512,54.3,9.74,22.12
xception65,299,1384.96,369.654,512,39.92,13.96,52.48
resnet152,288,1381.72,370.537,512,60.19,19.11,37.28
resnetv2_50d_gn,288,1381.53,370.586,512,25.57,7.24,19.7
rexnetr_300,288,1381.25,370.662,512,34.81,5.59,36.61
swinv2_cr_small_224,224,1376.99,371.809,512,49.7,9.07,50.27
gmlp_b16_224,224,1375.86,372.108,512,73.08,15.78,30.21
twins_svt_large,224,1368.81,374.033,512,99.27,15.15,35.1
swinv2_cr_small_ns_224,224,1365.84,374.842,512,49.7,9.08,50.27
mobilenetv4_conv_aa_large,480,1358.03,377.001,512,32.59,11.05,50.45
resnet50x4_clip,288,1357.9,377.035,512,87.14,21.35,35.27
vit_mediumd_patch16_rope_reg1_gap_256,256,1357.84,377.052,512,63.95,17.65,37.02
vit_so150m_patch16_reg4_gap_256,256,1351.9,378.708,512,134.13,36.75,53.21
hrnet_w44,224,1349.33,379.407,512,67.06,14.94,26.92
cait_s24_224,224,1347.27,380.003,512,46.92,9.35,40.58
xcit_tiny_24_p16_384,384,1345.07,380.635,512,12.12,6.87,34.29
vit_so150m_patch16_reg4_map_256,256,1342.76,381.288,512,141.48,37.18,53.68
vit_base_patch16_rope_reg1_gap_256,256,1339.91,382.096,512,86.43,23.22,33.39
dm_nfnet_f1,224,1329.53,385.08,512,132.63,17.87,22.94
tresnet_m,448,1324.12,386.655,512,31.39,22.99,29.21
efficientnet_lite4,380,1322.67,387.08,512,13.01,4.04,45.66
focalnet_base_lrf,224,1320.54,387.704,512,88.75,15.43,38.13
efficientvit_b3,288,1314.64,389.442,512,48.65,6.58,44.2
eva02_base_patch14_224,224,1312.14,390.184,512,85.76,23.22,36.55
efficientformer_l7,224,1309.92,390.849,512,82.23,10.17,24.45
nest_base,224,1307.57,391.551,512,67.72,17.96,53.39
resnet50_gn,288,1305.16,392.272,512,25.56,6.85,18.37
nest_base_jx,224,1294.67,395.451,512,67.72,17.96,53.39
nextvit_small,384,1284.43,398.604,512,31.76,17.26,57.14
convnextv2_small,224,1282.44,399.217,512,50.32,8.71,21.56
xcit_medium_24_p16_224,224,1280.1,399.955,512,84.4,16.13,31.71
efficientnetv2_rw_m,320,1275.83,401.294,512,53.24,12.72,47.14
convnextv2_tiny,288,1271.87,402.531,512,28.64,7.39,22.21
convnext_base,288,1268.11,403.734,512,88.59,25.43,47.53
mobilenetv4_hybrid_large,448,1265.42,404.591,512,37.76,10.74,48.61
coat_lite_medium,224,1251.87,408.976,512,44.57,9.81,40.06
coat_mini,224,1250.83,409.311,512,10.34,6.82,33.68
maxxvit_rmlp_small_rw_256,256,1243.18,411.831,512,66.01,14.67,58.38
dpn131,224,1241.67,412.321,512,79.25,16.09,32.97
poolformer_m36,224,1239.54,413.041,512,56.17,8.8,22.02
efficientvit_l3,224,1238.99,413.221,512,246.04,27.62,39.16
swin_base_patch4_window7_224,224,1237.04,413.872,512,87.77,15.47,36.63
tf_efficientnet_lite4,380,1223.65,418.405,512,13.01,4.04,45.66
resnet200d,256,1220.57,419.459,512,64.69,20.0,43.09
convnext_large,224,1210.69,422.882,512,197.77,34.4,43.13
vit_large_patch32_384,384,1200.4,426.508,512,306.63,45.31,43.86
maxvit_small_tf_224,224,1189.65,430.365,512,68.93,11.66,53.17
swin_s3_small_224,224,1180.79,433.592,512,49.74,9.43,37.84
xcit_small_12_p16_384,384,1174.92,435.759,512,26.25,14.14,36.51
hgnetv2_b6,288,1173.05,436.453,512,75.26,27.9,35.09
regnety_040_sgn,288,1170.65,437.346,512,20.65,6.67,20.3
levit_384_s8,224,1165.28,329.517,384,39.12,9.98,35.86
regnety_120,288,1157.95,442.145,512,51.82,20.06,35.34
seresnet152,288,1150.95,444.835,512,66.82,19.11,37.34
resnest101e,256,1145.83,446.818,512,48.28,13.38,28.66
gcvit_small,224,1144.63,447.289,512,51.09,8.57,41.61
regnetz_b16_evos,288,1135.7,450.806,512,9.74,2.36,16.43
coatnet_2_rw_224,224,1135.63,450.831,512,73.87,15.09,49.22
hrnet_w64,224,1135.29,450.949,512,128.06,28.97,35.09
mvitv2_base,224,1134.0,451.484,512,51.47,10.16,40.5
vit_betwixt_patch16_reg4_gap_384,384,1127.26,454.181,512,60.6,39.71,85.28
fastvit_sa36,256,1120.28,457.014,512,31.53,5.64,34.61
levit_conv_384_s8,224,1119.98,342.844,384,39.12,9.98,35.86
tnt_b_patch16_224,224,1117.46,458.164,512,65.41,14.09,39.01
regnety_320,224,1117.25,458.249,512,145.05,32.34,30.26
mvitv2_base_cls,224,1116.06,458.742,512,65.44,10.23,40.65
dpn107,224,1115.38,459.002,512,86.92,18.38,33.46
densenet264d,224,1113.18,459.927,512,72.74,13.57,14.0
efficientnet_b3_gn,288,1108.62,461.817,512,11.73,1.74,23.35
regnetz_c16_evos,256,1107.52,462.279,512,13.49,2.48,16.57
eca_nfnet_l1,320,1106.04,462.894,512,41.41,14.92,34.42
volo_d3_224,224,1105.28,463.214,512,86.33,20.78,60.09
hgnet_base,288,1104.26,463.623,512,71.58,41.55,25.57
fastvit_mci1,256,1101.38,464.855,512,21.54,4.72,32.84
convit_base,224,1094.41,467.818,512,86.54,17.52,31.77
nf_regnet_b5,384,1094.33,467.849,512,49.74,7.95,42.9
poolformerv2_s36,224,1088.71,470.265,512,30.79,5.01,15.82
resnet152d,320,1084.29,472.178,512,60.21,24.08,47.67
resnext101_64x4d,288,1081.56,473.371,512,83.46,25.66,51.59
efficientnet_b3_g8_gn,288,1073.57,476.896,512,14.25,2.59,23.35
coatnet_2_224,224,1069.58,359.001,384,74.68,16.5,52.67
xception71,299,1060.08,482.964,512,42.34,18.09,69.92
swinv2_base_window12_192,192,1057.24,484.264,512,109.28,11.9,39.72
vitamin_base_224,224,1057.15,484.302,512,87.72,22.68,52.77
davit_large,224,1055.3,485.153,512,196.81,34.6,60.99
legacy_senet154,224,1054.93,485.323,512,115.09,20.77,38.69
senet154,224,1054.21,485.652,512,115.09,20.77,38.69
mobilenetv4_conv_aa_large,544,1053.47,485.995,512,32.59,14.19,64.79
convnextv2_nano,384,1044.07,490.365,512,15.62,7.22,24.61
resnext101_32x16d,224,1041.98,491.351,512,194.03,36.27,51.18
efficientnet_b4,384,1041.96,491.357,512,19.34,4.51,50.04
coatnet_rmlp_2_rw_224,224,1039.54,492.496,512,73.88,15.18,54.78
regnetx_320,224,1036.62,493.887,512,107.81,31.81,36.3
convnext_base,320,1033.25,495.508,512,88.59,31.39,58.68
resnetv2_50x1_bit,448,1033.24,495.51,512,25.55,16.62,44.46
maxxvitv2_rmlp_base_rw_224,224,1030.26,496.942,512,116.09,24.2,62.77
resnetv2_50d_evos,288,1024.95,499.517,512,25.59,7.15,19.7
convnext_small,384,1023.25,500.352,512,50.22,25.58,63.37
crossvit_18_dagger_408,408,1022.68,500.623,512,44.61,32.47,124.87
ecaresnet200d,256,1012.11,505.857,512,64.69,20.0,43.15
maxvit_rmlp_small_rw_256,256,1011.88,505.971,512,64.9,14.15,66.09
resnetrs200,256,1010.68,506.576,512,93.21,20.18,43.42
seresnet200d,256,1009.34,507.25,512,71.86,20.01,43.15
regnety_160,288,1007.2,508.318,512,83.59,26.37,38.07
xcit_tiny_24_p8_224,224,1006.77,508.541,512,12.11,9.21,45.39
swinv2_cr_base_224,224,1003.7,510.098,512,87.88,15.86,59.66
resnetv2_50x3_bit,224,999.54,512.217,512,217.32,37.06,33.34
mobilevitv2_175,384,997.46,256.635,256,14.25,12.47,63.29
swinv2_cr_base_ns_224,224,996.85,513.602,512,87.88,15.86,59.66
tf_efficientnetv2_m,384,995.99,514.039,512,54.14,15.85,57.52
nextvit_base,384,991.15,516.552,512,44.82,24.64,73.95
swinv2_small_window8_256,256,991.15,516.555,512,49.73,11.58,40.14
swinv2_cr_small_ns_256,256,989.97,517.174,512,49.7,12.07,76.21
tf_efficientnet_b4,380,989.8,517.261,512,19.34,4.49,49.49
caformer_s36,224,984.99,519.776,512,39.3,8.0,37.53
maxvit_rmlp_base_rw_224,224,982.44,521.136,512,116.14,23.15,92.64
swin_s3_base_224,224,980.38,522.23,512,71.13,13.69,48.26
swinv2_tiny_window16_256,256,979.79,522.545,512,28.35,6.68,39.02
resnet200,288,975.16,525.017,512,64.67,24.91,53.21
seresnext101_32x8d,288,971.5,527.002,512,93.57,27.24,51.63
xcit_nano_12_p8_384,384,969.96,527.836,512,3.05,6.34,46.08
efficientvit_l2,384,967.67,529.083,512,63.71,20.45,57.01
volo_d1_384,384,963.34,531.465,512,26.78,22.75,108.55
coat_small,224,963.19,531.55,512,21.69,12.61,44.25
convnextv2_base,224,961.57,532.445,512,88.72,15.38,28.75
mobilevitv2_150,384,958.44,400.634,384,10.59,9.2,54.25
seresnext101d_32x8d,288,949.26,539.328,512,93.59,27.64,52.95
mixer_l16_224,224,944.93,541.817,512,208.2,44.6,41.69
vit_base_patch16_siglip_gap_384,384,944.73,541.939,512,86.09,55.43,101.3
vit_base_patch16_384,384,941.77,543.639,512,86.86,55.54,101.56
deit_base_patch16_384,384,941.44,543.829,512,86.86,55.54,101.56
deit_base_distilled_patch16_384,384,940.85,544.169,512,87.63,55.65,101.82
vit_base_patch16_clip_384,384,939.44,544.987,512,86.86,55.54,101.56
vit_mediumd_patch16_reg4_gap_384,384,937.89,545.887,512,64.27,43.67,113.51
vit_base_patch16_siglip_384,384,935.86,547.069,512,93.18,56.12,102.2
poolformer_m48,224,931.73,549.496,512,73.47,11.59,29.17
regnetz_e8,320,928.33,551.508,512,57.7,15.46,63.94
convnext_large_mlp,256,924.56,553.757,512,200.13,44.94,56.33
fastvit_ma36,256,923.01,554.689,512,44.07,7.88,41.09
efficientvit_l3,256,921.63,555.515,512,246.04,36.06,50.98
convformer_s36,224,921.06,555.861,512,40.01,7.67,30.5
convmixer_1024_20_ks9_p14,224,918.33,557.51,512,24.38,5.55,5.51
resnetrs152,320,913.9,560.222,512,86.62,24.34,48.14
seresnet152d,320,908.95,563.261,512,66.84,24.09,47.72
rdnet_large,224,908.27,563.694,512,186.27,34.74,46.67
eva_large_patch14_196,196,906.91,564.536,512,304.14,61.57,63.52
vit_large_patch16_224,224,903.87,566.434,512,304.33,61.6,63.52
seresnextaa101d_32x8d,288,901.06,568.175,512,93.59,28.51,56.44
xcit_small_12_p8_224,224,893.66,572.906,512,26.21,18.69,47.21
hrnet_w48_ssld,288,876.92,583.844,512,77.47,28.66,47.21
nfnet_f2,256,871.75,587.309,512,193.78,33.76,41.85
beit_large_patch16_224,224,871.03,587.791,512,304.43,61.6,63.52
efficientnetv2_m,416,869.46,588.822,512,54.14,18.6,67.5
deit3_base_patch16_384,384,868.27,589.658,512,86.88,55.54,101.56
beit_base_patch16_384,384,868.09,589.786,512,86.74,55.54,101.56
efficientnet_b3_g8_gn,320,867.72,590.034,512,14.25,3.2,28.83
beitv2_large_patch16_224,224,866.84,590.635,512,304.43,61.6,63.52
vit_small_patch14_dinov2,518,864.18,592.448,512,22.06,46.76,198.79
vit_small_patch14_reg4_dinov2,518,861.06,594.598,512,22.06,46.95,199.77
gcvit_base,224,849.54,602.663,512,90.32,14.87,55.48
vit_base_patch16_18x2_224,224,848.77,603.204,512,256.73,52.51,71.38
deit3_large_patch16_224,224,848.18,603.626,512,304.37,61.6,63.52
convmixer_768_32,224,834.5,613.517,512,21.11,19.55,25.95
fastvit_mci2,256,821.37,623.336,512,35.82,7.91,43.34
hiera_large_224,224,815.26,627.987,512,213.74,40.34,83.37
efficientformerv2_s2,224,808.52,633.235,512,12.71,1.27,11.77
nextvit_large,384,808.08,633.581,512,57.87,32.03,90.76
nfnet_f1,320,807.56,633.987,512,132.63,35.97,46.77
efficientnet_b3_gn,320,800.5,639.584,512,11.73,2.14,28.83
seresnet269d,256,798.35,641.309,512,113.67,26.59,53.6
flexivit_large,240,798.21,641.41,512,304.36,70.99,75.39
ecaresnet200d,288,791.65,646.732,512,64.69,25.31,54.59
convnext_xlarge,224,791.55,646.814,512,350.2,60.98,57.5
seresnet200d,288,789.81,648.243,512,71.86,25.32,54.6
levit_512_s8,224,781.17,327.699,256,74.05,21.82,52.28
poolformerv2_m36,224,774.93,660.677,512,56.08,8.81,22.02
resnetrs270,256,774.23,661.28,512,129.86,27.06,55.84
resnet200d,320,772.4,662.852,512,64.69,31.25,67.33
xcit_large_24_p16_224,224,771.52,663.604,512,189.1,35.86,47.27
eca_nfnet_l2,320,767.25,667.296,512,56.72,20.95,47.43
maxvit_base_tf_224,224,759.21,674.372,512,119.47,24.04,95.01
nf_regnet_b5,456,757.72,675.698,512,49.74,11.7,61.95
swin_large_patch4_window7_224,224,755.87,677.341,512,196.53,34.53,54.94
efficientnetv2_rw_m,416,752.57,680.317,512,53.24,21.49,79.62
tiny_vit_21m_512,512,749.83,341.394,256,21.27,27.02,177.93
levit_conv_512_s8,224,734.53,348.504,256,74.05,21.82,52.28
seresnextaa101d_32x8d,320,732.84,698.625,512,93.59,35.19,69.67
resnetv2_152x2_bit,224,732.09,699.349,512,236.34,46.95,45.11
regnetz_d8_evos,256,731.37,700.043,512,23.46,4.5,24.92
convnext_large,288,725.92,705.289,512,197.77,56.87,71.29
caformer_m36,224,725.68,705.522,512,56.2,13.29,50.48
swinv2_base_window8_256,256,724.64,706.543,512,87.92,20.37,52.59
convnext_base,384,720.01,711.078,512,88.59,45.21,84.49
convnextv2_tiny,384,713.41,538.235,384,28.64,13.14,39.48
dm_nfnet_f2,256,710.75,720.35,512,193.78,33.76,41.85
mobilevitv2_200,384,710.26,540.624,384,18.45,16.24,72.34
regnetz_c16_evos,320,708.89,722.237,512,13.49,3.86,25.88
vit_large_patch16_siglip_gap_256,256,700.2,731.198,512,303.36,80.8,88.34
vit_large_patch16_siglip_256,256,695.67,735.956,512,315.96,81.34,88.88
maxxvitv2_rmlp_large_rw_224,224,685.6,746.776,512,215.42,44.14,87.15
davit_huge,224,685.53,746.84,512,348.92,61.23,81.32
vit_large_patch14_clip_224,224,677.32,755.901,512,304.2,81.08,88.79
vit_large_patch14_224,224,676.33,757.004,512,304.2,81.08,88.79
vit_base_patch8_224,224,676.06,757.301,512,86.58,78.22,161.69
convformer_m36,224,674.99,758.507,512,57.05,12.89,42.05
regnety_640,224,667.49,767.034,512,281.38,64.16,42.5
resnetv2_101x1_bit,448,667.21,767.353,512,44.54,31.65,64.93
efficientnet_b5,416,666.49,768.178,512,30.39,8.27,80.68
swinv2_large_window12_192,192,666.31,768.391,512,228.77,26.17,56.53
volo_d4_224,224,665.55,769.269,512,192.96,44.34,80.22
tresnet_l,448,657.82,778.304,512,55.99,43.59,47.56
coatnet_3_224,224,655.14,390.726,256,166.97,36.56,79.01
xcit_tiny_12_p8_384,384,653.44,783.523,512,6.71,14.13,69.14
coatnet_rmlp_3_rw_224,224,653.36,391.8,256,165.15,33.56,79.47
coatnet_3_rw_224,224,652.95,392.05,256,181.81,33.44,73.83
dm_nfnet_f1,320,651.19,786.234,512,132.63,35.97,46.77
resnetrs200,320,643.1,796.128,512,93.21,31.51,67.81
tf_efficientnetv2_m,480,636.24,804.713,512,54.14,24.76,89.84
caformer_s18,384,632.12,809.945,512,26.34,13.42,77.34
xcit_small_24_p16_384,384,627.98,815.288,512,47.67,26.72,68.58
seresnet269d,288,624.99,819.196,512,113.67,33.65,67.81
swinv2_cr_large_224,224,623.13,821.641,512,196.68,35.1,78.42
swinv2_small_window16_256,256,618.81,827.379,512,49.73,12.82,66.29
vit_large_r50_s32_384,384,616.49,830.49,512,329.09,57.43,76.52
convformer_s18,384,599.08,854.625,512,26.77,11.63,46.49
maxvit_tiny_tf_384,384,591.24,432.978,256,30.98,17.53,123.42
convnext_large_mlp,320,590.57,866.941,512,200.13,70.21,88.02
resnetv2_101x3_bit,224,585.41,874.58,512,387.93,71.23,48.7
poolformerv2_m48,224,582.9,878.354,512,73.35,11.59,29.17
convnextv2_base,288,582.44,879.035,512,88.72,25.43,47.53
efficientvit_l3,320,582.15,659.603,384,246.04,56.32,79.34
vit_large_patch14_clip_quickgelu_224,224,580.69,881.691,512,303.97,81.08,88.79
halonet_h1,256,577.45,443.308,256,8.1,3.0,51.17
efficientnet_b5,448,574.83,890.666,512,30.39,9.59,93.56
repvgg_d2se,320,572.21,894.755,512,133.33,74.57,46.82
efficientnetv2_l,384,566.11,904.4,512,118.52,36.1,101.16
regnety_160,384,564.72,679.967,384,83.59,46.87,67.67
convnextv2_large,224,563.29,908.915,512,197.96,34.4,43.13
vit_large_patch14_xp_224,224,561.94,911.104,512,304.06,81.01,88.79
tf_efficientnetv2_l,384,557.98,917.578,512,118.52,36.1,101.16
swinv2_cr_tiny_384,384,544.55,470.091,256,28.33,15.34,161.01
eca_nfnet_l2,384,537.88,951.861,512,56.72,30.05,68.28
maxvit_large_tf_224,224,537.76,714.064,384,211.79,43.68,127.35
caformer_b36,224,536.71,953.938,512,98.75,23.22,67.3
vit_base_r50_s16_384,384,536.14,954.948,512,98.95,67.43,135.03
inception_next_base,384,531.25,963.743,512,86.67,43.64,75.48
efficientformerv2_l,224,530.93,964.32,512,26.32,2.59,18.54
volo_d2_384,384,526.74,971.989,512,58.87,46.17,184.51
resnext101_32x32d,224,520.8,983.086,512,468.53,87.29,91.12
tf_efficientnet_b5,456,517.6,741.872,384,30.39,10.46,98.86
vit_so400m_patch14_siglip_224,224,517.53,989.289,512,427.68,110.26,106.73
vit_so400m_patch14_siglip_gap_224,224,514.47,995.172,512,412.44,109.57,106.13
nasnetalarge,331,510.54,752.056,384,88.75,23.89,90.56
ecaresnet269d,320,508.74,1006.384,512,102.09,41.53,83.69
vit_base_patch16_siglip_gap_512,512,505.39,1013.062,512,86.43,107.0,246.15
vit_base_patch16_siglip_512,512,501.31,1021.3,512,93.52,108.22,247.74
convformer_b36,224,500.2,1023.579,512,99.88,22.69,56.06
vitamin_large2_224,224,493.33,778.367,384,333.58,75.05,112.83
vitamin_large_224,224,493.04,778.82,384,333.32,75.05,112.83
eca_nfnet_l3,352,491.65,1041.375,512,72.04,32.57,73.12
resnetrs350,288,487.42,1050.403,512,163.96,43.67,87.09
convnext_xlarge,288,480.37,1065.812,512,350.2,100.8,95.05
xcit_small_24_p8_224,224,469.3,1090.967,512,47.63,35.81,90.78
regnetz_d8_evos,320,467.45,1095.292,512,23.46,7.03,38.92
pnasnet5large,331,464.29,827.046,384,86.06,25.04,92.89
nfnet_f2,352,462.28,1107.536,512,193.78,63.22,79.06
swinv2_base_window12to16_192to256,256,456.3,841.538,384,87.92,22.02,84.71
swinv2_base_window16_256,256,456.2,841.714,384,87.92,22.02,84.71
tresnet_xl,448,455.93,1122.965,512,78.44,60.77,61.31
resnet50x16_clip_gap,384,454.8,1125.735,512,136.2,70.32,100.64
xcit_medium_24_p16_384,384,445.5,1149.237,512,84.4,47.39,91.64
resnet50x16_clip,384,441.37,1160.0,512,167.33,74.9,103.54
volo_d5_224,224,435.53,1175.574,512,295.46,72.4,118.11
coatnet_4_224,224,431.48,593.293,256,275.43,62.48,129.26
eva02_large_patch14_224,224,426.82,1199.548,512,303.27,81.15,97.2
nfnet_f3,320,426.82,1199.559,512,254.92,68.77,83.93
eva02_large_patch14_clip_224,224,421.33,1215.175,512,304.11,81.18,97.2
cait_xxs24_384,384,421.2,1215.542,512,12.03,9.63,122.66
ecaresnet269d,352,418.83,1222.426,512,102.09,50.25,101.25
coat_lite_medium_384,384,416.13,1230.38,512,44.57,28.73,116.7
convnext_large_mlp,384,412.9,929.978,384,200.13,101.11,126.74
convnext_large,384,407.18,943.038,384,197.77,101.1,126.74
resnetrs270,352,405.86,1261.514,512,129.86,51.13,105.48
efficientnetv2_xl,384,403.28,1269.563,512,208.12,52.81,139.2
efficientvit_l3,384,402.54,635.936,256,246.04,81.08,114.02
tf_efficientnetv2_xl,384,399.68,1281.01,512,208.12,52.81,139.2
maxvit_small_tf_384,384,396.22,484.566,192,69.02,35.87,183.65
resmlp_big_24_224,224,396.07,1292.67,512,129.14,100.23,87.31
resnest200e,320,383.61,1334.668,512,70.2,35.69,82.78
vitamin_large2_256,256,379.06,1013.01,384,333.64,99.0,154.99
vitamin_large_256,256,378.79,1013.723,384,333.38,99.0,154.99
mvitv2_large_cls,224,378.22,1353.698,512,234.58,42.17,111.69
regnety_320,384,378.11,1015.542,384,145.05,95.0,88.87
mvitv2_large,224,376.01,1361.654,512,217.99,43.87,112.02
dm_nfnet_f2,352,373.26,1371.694,512,193.78,63.22,79.06
hiera_huge_224,224,368.13,1390.782,512,672.78,124.85,150.95
seresnextaa201d_32x8d,320,367.34,1393.779,512,149.39,70.22,138.71
efficientnetv2_l,480,363.62,1408.035,512,118.52,56.4,157.99
tf_efficientnetv2_l,480,357.78,1430.984,512,118.52,56.4,157.99
convnextv2_large,288,352.91,1088.061,384,197.96,56.87,71.29
vit_huge_patch14_gap_224,224,352.6,1452.04,512,630.76,166.73,138.74
vit_huge_patch14_224,224,348.57,1468.819,512,630.76,167.4,139.41
vit_huge_patch14_clip_224,224,347.99,1471.296,512,632.05,167.4,139.41
xcit_tiny_24_p8_384,384,345.08,1483.71,512,12.11,27.05,132.95
dm_nfnet_f3,320,344.87,1484.575,512,254.92,68.77,83.93
regnety_1280,224,341.69,1498.349,512,644.81,127.66,71.58
maxxvitv2_rmlp_base_rw_384,384,339.16,1132.191,384,116.09,72.98,213.74
vit_base_patch14_dinov2,518,337.26,1518.099,512,86.58,151.71,397.58
swinv2_cr_small_384,384,336.39,761.011,256,49.7,29.7,298.03
caformer_s36,384,336.09,1523.371,512,39.3,26.08,150.33
resnetrs420,320,333.88,1533.484,512,191.89,64.2,126.56
deit3_huge_patch14_224,224,333.48,1535.294,512,632.13,167.4,139.41
xcit_medium_24_p8_224,224,332.48,1539.899,512,84.32,63.53,121.23
vit_base_patch14_reg4_dinov2,518,332.24,1541.02,512,86.58,152.25,399.53
maxvit_tiny_tf_512,512,331.23,386.422,128,31.05,33.49,257.59
convnextv2_base,384,329.1,777.859,256,88.72,45.21,84.49
coatnet_rmlp_2_rw_384,384,328.74,584.014,192,73.88,47.69,209.43
maxvit_xlarge_tf_224,224,320.25,799.344,256,506.99,97.52,191.04
efficientnet_b6,528,317.5,806.282,256,43.04,19.4,167.39
convformer_s36,384,314.4,1628.489,512,40.01,22.54,89.62
eva02_base_patch14_448,448,313.81,1631.515,512,87.12,107.11,259.14
focalnet_huge_fl3,224,310.01,1651.515,512,745.28,118.26,104.8
rdnet_large,384,309.02,621.304,192,186.27,102.09,137.13
swin_base_patch4_window12_384,384,307.05,833.708,256,87.9,47.19,134.78
vit_huge_patch14_clip_quickgelu_224,224,306.8,1668.804,512,632.08,167.4,139.41
xcit_small_12_p8_384,384,304.54,1260.903,384,26.21,54.92,138.29
tf_efficientnet_b6,528,302.7,845.699,256,43.04,19.4,167.39
sam2_hiera_tiny,896,302.68,211.431,64,26.85,99.86,384.63
vitamin_xlarge_256,256,302.06,847.497,256,436.06,130.13,177.37
eca_nfnet_l3,448,301.57,1697.734,512,72.04,52.55,118.4
vit_giant_patch16_gap_224,224,298.97,1712.537,512,1011.37,202.46,139.26
maxvit_rmlp_base_rw_384,384,297.7,859.92,256,116.14,70.97,318.95
cait_xs24_384,384,297.51,1720.911,512,26.67,19.28,183.98
swinv2_cr_huge_224,224,296.61,1294.596,384,657.83,115.97,121.08
eva_large_patch14_336,336,295.4,1733.205,512,304.53,191.1,270.24
vit_large_patch16_siglip_gap_384,384,294.75,1737.034,512,303.69,190.85,269.55
vit_large_patch14_clip_336,336,294.46,1738.769,512,304.53,191.11,270.24
vit_large_patch16_384,384,293.26,1745.838,512,304.72,191.21,270.24
vit_huge_patch14_xp_224,224,293.14,1746.554,512,631.8,167.3,139.41
vit_large_patch16_siglip_384,384,292.81,1748.518,512,316.28,192.07,270.75
swinv2_large_window12to16_192to256,256,290.75,880.463,256,196.74,47.81,121.53
convnext_xxlarge,256,282.43,1359.586,384,846.47,198.09,124.45
cait_xxs36_384,384,281.8,1816.89,512,17.37,14.35,183.7
beit_large_patch16_384,384,279.47,1832.019,512,305.0,191.21,270.24
deit3_large_patch16_384,384,278.63,1837.554,512,304.76,191.21,270.24
convnextv2_huge,224,275.27,929.965,256,660.29,115.0,79.07
davit_giant,224,272.18,1410.782,384,1406.47,192.92,153.06
volo_d3_448,448,271.58,1885.21,512,86.63,96.33,446.83
resnetrs350,384,270.92,1889.827,512,163.96,77.59,154.74
convnext_xlarge,384,270.45,946.534,256,350.2,179.2,168.99
xcit_large_24_p16_384,384,265.95,1925.177,512,189.1,105.35,137.17
resnetv2_152x2_bit,384,261.67,1467.48,384,236.34,136.16,132.56
sam2_hiera_small,896,256.83,249.174,64,33.95,123.99,442.63
vit_large_patch14_clip_quickgelu_336,336,255.19,2006.359,512,304.29,191.11,270.24
resnetv2_152x4_bit,224,254.45,2012.187,512,936.53,186.9,90.22
nfnet_f3,416,253.47,2019.94,512,254.92,115.58,141.78
seresnextaa201d_32x8d,384,252.66,2026.392,512,149.39,101.11,199.72
maxvit_base_tf_384,384,251.04,764.813,192,119.65,73.8,332.9
coatnet_5_224,224,249.66,769.027,192,687.47,145.49,194.24
resnetv2_50x3_bit,448,249.4,769.836,192,217.32,145.7,133.37
swinv2_cr_base_384,384,247.1,1035.999,256,87.88,50.57,333.68
caformer_m36,384,246.12,1040.112,256,56.2,42.11,196.35
nfnet_f4,384,240.45,2129.281,512,316.07,122.14,147.57
eva_giant_patch14_224,224,234.57,2182.672,512,1012.56,267.18,192.64
eva_giant_patch14_clip_224,224,231.09,2215.577,512,1012.59,267.18,192.64
convformer_m36,384,230.39,1111.149,256,57.05,37.87,123.56
vit_giant_patch14_224,224,228.92,2236.573,512,1012.61,267.18,192.64
efficientnetv2_xl,512,228.83,2237.451,512,208.12,93.85,247.32
regnety_640,384,228.31,1121.234,256,281.38,188.47,124.83
vit_giant_patch14_clip_224,224,226.83,2257.165,512,1012.65,267.18,192.64
tf_efficientnetv2_xl,512,226.19,2263.608,512,208.12,93.85,247.32
maxvit_small_tf_512,512,222.44,431.561,96,69.13,67.26,383.77
cait_s24_384,384,219.04,2337.407,512,47.06,32.17,245.31
vitamin_large_336,336,215.67,890.242,192,333.57,175.72,307.47
vitamin_large2_336,336,215.39,891.377,192,333.83,175.72,307.47
focalnet_huge_fl4,224,209.76,2440.802,512,686.46,118.9,113.34
dm_nfnet_f3,416,206.43,2480.193,512,254.92,115.58,141.78
xcit_large_24_p8_224,224,198.9,2574.096,512,188.93,141.23,181.56
convnextv2_large,384,198.73,966.094,192,197.96,101.1,126.74
resnetrs420,416,196.85,2601.004,512,191.89,108.45,213.79
dm_nfnet_f4,384,196.6,2604.26,512,316.07,122.14,147.57
swin_large_patch4_window12_384,384,191.14,669.643,128,196.74,104.08,202.16
efficientnet_b7,600,188.83,1016.782,192,66.35,38.33,289.94
eva02_large_patch14_clip_336,336,186.74,2741.767,512,304.43,191.34,289.13
resnetv2_152x2_bit,448,184.7,2079.012,384,236.34,184.99,180.43
caformer_b36,384,181.9,1407.351,256,98.75,72.33,261.79
tf_efficientnet_b7,600,181.61,1057.177,192,66.35,38.33,289.94
maxvit_large_tf_384,384,178.2,718.272,128,212.03,132.55,445.84
nfnet_f5,416,172.22,2972.911,512,377.21,170.71,204.56
vitamin_xlarge_336,336,171.84,744.851,128,436.06,230.18,347.33
convformer_b36,384,170.69,1499.731,256,99.88,66.67,164.75
vit_so400m_patch14_siglip_384,384,169.04,3028.862,512,428.23,335.4,452.89
resnet50x64_clip_gap,448,168.37,2280.66,384,365.03,253.96,233.22
vit_so400m_patch14_siglip_gap_384,384,168.28,3042.431,512,412.99,333.46,451.19
convnextv2_huge,288,166.55,1152.798,192,660.29,190.1,130.7
mvitv2_huge_cls,224,166.12,2311.572,384,694.8,120.67,243.63
resnet50x64_clip,448,163.96,1561.362,256,420.38,265.02,239.13
vitamin_large2_384,384,163.86,781.139,128,333.97,234.44,440.16
vitamin_large_384,384,163.84,781.221,128,333.71,234.44,440.16
volo_d4_448,448,162.45,3151.648,512,193.41,197.13,527.35
xcit_small_24_p8_384,384,160.35,2394.77,384,47.63,105.24,265.91
swinv2_cr_large_384,384,155.84,821.327,128,196.68,108.96,404.96
focalnet_large_fl3,384,153.3,1669.857,256,239.13,105.06,168.04
cait_s36_384,384,150.49,3402.164,512,68.37,47.99,367.4
resnetv2_101x3_bit,448,150.3,1277.431,192,387.93,280.33,194.78
davit_base_fl,768,149.95,853.596,128,90.37,190.32,530.15
vit_huge_patch14_clip_336,336,148.98,3436.652,512,632.46,390.97,407.54
focalnet_large_fl4,384,146.26,1750.32,256,239.32,105.2,181.78
beit_large_patch16_512,512,143.19,3575.759,512,305.67,362.24,656.39
dm_nfnet_f5,416,140.91,3633.497,512,377.21,170.71,204.56
maxvit_base_tf_512,512,140.65,682.546,96,119.88,138.02,703.99
sam2_hiera_base_plus,896,138.32,462.665,64,68.68,227.48,828.88
nfnet_f4,512,135.39,2836.163,384,316.07,216.26,262.26
convmixer_1536_20,224,135.19,3787.319,512,51.63,48.68,33.03
vitamin_xlarge_384,384,130.77,978.777,128,436.06,306.38,493.46
vit_gigantic_patch14_224,224,130.62,3919.717,512,1844.44,483.95,275.37
vit_gigantic_patch14_clip_224,224,130.29,3929.635,512,1844.91,483.96,275.37
nfnet_f6,448,127.99,4000.364,512,438.36,229.7,273.62
efficientnet_b8,672,123.17,1039.173,128,87.41,63.48,442.89
swinv2_base_window12to24_192to384,384,119.99,533.358,64,87.92,55.25,280.36
tf_efficientnet_b8,672,119.33,1072.656,128,87.41,63.48,442.89
vit_so400m_patch14_siglip_gap_448,448,116.66,3291.487,384,413.33,487.18,764.26
vit_huge_patch14_clip_378,378,116.09,4410.348,512,632.68,503.79,572.79
regnety_1280,384,115.79,1105.427,128,644.81,374.99,210.2
xcit_medium_24_p8_384,384,113.78,2250.01,256,84.32,186.67,354.73
dm_nfnet_f4,512,110.56,3473.149,384,316.07,216.26,262.26
focalnet_xlarge_fl3,384,108.72,1765.946,192,408.79,185.61,223.99
vit_huge_patch16_gap_448,448,107.19,3582.45,384,631.67,544.7,636.83
vit_large_patch14_dinov2,518,106.66,3600.098,384,304.37,507.15,1058.82
volo_d5_448,448,106.54,3604.236,384,295.91,315.06,737.92
vit_large_patch14_reg4_dinov2,518,106.3,3612.324,384,304.37,508.9,1064.02
dm_nfnet_f6,448,104.84,4883.385,512,438.36,229.7,273.62
maxvit_xlarge_tf_384,384,104.53,918.413,96,475.32,292.78,668.76
focalnet_xlarge_fl4,384,103.87,1848.501,192,409.03,185.79,242.31
vit_huge_patch14_clip_quickgelu_378,378,103.58,3707.381,384,632.68,503.79,572.79
eva02_large_patch14_448,448,102.65,3740.795,384,305.08,362.33,689.95
nfnet_f5,544,100.78,3810.204,384,377.21,290.97,349.71
eva_giant_patch14_336,336,100.31,5104.356,512,1013.01,620.64,550.67
maxvit_large_tf_512,512,99.37,644.068,64,212.33,244.75,942.15
nfnet_f7,480,97.93,3921.33,384,499.5,300.08,355.86
convnextv2_huge,384,93.62,1025.37,96,660.29,337.96,232.35
swinv2_cr_giant_224,224,88.64,2165.946,192,2598.76,483.85,309.15
dm_nfnet_f5,544,82.3,4666.041,384,377.21,290.97,349.71
tf_efficientnet_l2,475,82.12,1558.754,128,480.31,172.11,609.89
volo_d5_512,512,81.71,3133.006,256,296.09,425.09,1105.37
nfnet_f6,576,77.44,4958.912,384,438.36,378.69,452.2
swinv2_large_window12to24_192to384,384,76.53,627.149,48,196.74,116.15,407.83
swinv2_cr_huge_384,384,73.82,866.901,64,657.94,352.04,583.18
xcit_large_24_p8_384,384,68.02,2822.791,192,188.93,415.0,531.82
cait_m36_384,384,64.68,3958.009,256,271.22,173.11,734.81
dm_nfnet_f6,576,63.38,4039.147,256,438.36,378.69,452.2
nfnet_f7,608,61.1,4189.78,256,499.5,480.39,570.85
regnety_2560,384,60.04,1598.871,96,1282.6,747.83,296.49
davit_huge_fl,768,58.91,1086.416,64,360.64,744.84,1060.3
maxvit_xlarge_tf_512,512,58.65,818.415,48,475.77,534.14,1413.22
resnetv2_152x4_bit,480,57.16,1679.394,96,936.53,844.84,414.26
convnextv2_huge,512,52.17,920.112,48,660.29,600.81,413.07
sam2_hiera_large,1024,45.19,1062.166,48,212.15,907.48,2190.34
samvit_base_patch16,1024,33.25,481.156,16,89.67,486.43,1343.27
eva_giant_patch14_560,560,33.13,5795.849,192,1014.45,1906.76,2577.17
vit_giant_patch14_dinov2,518,32.93,3886.558,128,1136.48,1784.2,2757.89
vit_giant_patch14_reg4_dinov2,518,32.91,3889.85,128,1136.48,1790.08,2771.21
efficientnet_l2,800,29.86,1607.312,48,480.31,479.12,1707.39
tf_efficientnet_l2,800,29.23,1642.279,48,480.31,479.12,1707.39
cait_m48_448,448,27.4,4671.94,128,356.46,329.41,1708.23
swinv2_cr_giant_384,384,23.87,1340.314,32,2598.76,1450.71,1394.86
vit_so400m_patch14_siglip_gap_896,896,21.24,4519.479,96,416.87,2731.49,8492.88
samvit_large_patch16,1024,16.18,741.849,12,308.28,1493.86,2553.78
samvit_huge_patch16,1024,10.84,737.698,8,637.03,2982.23,3428.16