model,infer_img_size,infer_samples_per_sec,infer_step_time,infer_batch_size,param_count,infer_gmacs,infer_macts
test_byobnet,160,930.48,1.062,1,0.46,0.03,0.43
test_vit,160,752.11,1.315,1,0.37,0.04,0.48
test_efficientnet,160,647.07,1.53,1,0.36,0.06,0.55
mobilenetv3_small_075,224,393.5,2.524,1,2.04,0.05,1.3
mobilenetv3_small_050,224,384.04,2.586,1,1.59,0.03,0.92
tf_mobilenetv3_small_minimal_100,224,379.32,2.616,1,2.04,0.06,1.41
lcnet_035,224,378.45,2.618,1,1.64,0.03,1.04
tinynet_e,106,376.63,2.636,1,2.04,0.03,0.69
mobilenetv3_small_100,224,374.07,2.654,1,2.54,0.06,1.42
lcnet_075,224,373.7,2.656,1,2.36,0.1,1.99
lcnet_050,224,364.66,2.725,1,1.88,0.05,1.26
mobilenetv2_035,224,323.01,3.076,1,1.68,0.07,2.86
tf_mobilenetv3_small_100,224,322.73,3.079,1,2.54,0.06,1.42
tf_mobilenetv3_small_075,224,298.55,3.327,1,2.04,0.05,1.3
lcnet_100,224,291.87,3.406,1,2.95,0.16,2.52
mnasnet_small,224,265.95,3.739,1,2.03,0.07,2.16
mnasnet_050,224,252.54,3.939,1,2.22,0.11,3.07
mobilenetv4_conv_small,224,248.97,3.996,1,3.77,0.19,1.97
regnetx_002,224,237.37,4.191,1,2.68,0.2,2.16
tinynet_d,152,232.83,4.272,1,2.34,0.05,1.42
semnasnet_050,224,224.05,4.443,1,2.08,0.11,3.44
mobilenetv2_050,224,221.33,4.499,1,1.97,0.1,3.64
efficientvit_b0,224,210.09,4.735,1,3.41,0.1,2.87
regnety_002,224,209.64,4.749,1,3.16,0.2,2.17
mobilenetv4_conv_small,256,199.91,4.979,1,3.77,0.25,2.57
mobilenetv2_075,224,196.78,5.061,1,2.64,0.22,5.86
lcnet_150,224,194.96,5.108,1,4.5,0.34,3.79
ghostnet_050,224,185.37,5.373,1,2.59,0.05,1.77
efficientvit_m0,224,184.92,5.39,1,2.35,0.08,0.91
repghostnet_050,224,182.79,5.45,1,2.31,0.05,2.02
repghostnet_058,224,180.93,5.504,1,2.55,0.07,2.59
tinynet_c,184,177.3,5.621,1,2.46,0.11,2.87
levit_128s,224,173.25,5.748,1,7.78,0.31,1.88
mobilenetv3_large_075,224,172.84,5.763,1,3.99,0.16,4.0
mnasnet_075,224,169.28,5.884,1,3.17,0.23,4.77
hardcorenas_a,224,159.47,6.247,1,5.26,0.23,4.38
resnet10t,176,158.58,6.28,1,5.44,0.7,1.51
efficientvit_m2,224,156.16,6.382,1,4.19,0.2,1.47
mobilenetv1_100,224,155.99,6.388,1,4.23,0.58,5.04
hgnetv2_b0,224,154.02,6.468,1,6.0,0.33,2.12
semnasnet_075,224,153.91,6.473,1,2.91,0.23,5.54
ese_vovnet19b_slim_dw,224,153.26,6.504,1,1.9,0.4,5.28
levit_conv_128s,224,151.31,6.583,1,7.78,0.31,1.88
mobilenetv2_100,224,151.16,6.591,1,3.5,0.31,6.68
repghostnet_080,224,150.68,6.615,1,3.28,0.1,3.22
efficientvit_m1,224,149.13,6.685,1,2.98,0.17,1.33
mobilenetv3_rw,224,148.89,6.692,1,5.48,0.23,4.41
semnasnet_100,224,147.79,6.744,1,3.89,0.32,6.23
mnasnet_100,224,147.07,6.774,1,4.38,0.33,5.46
edgenext_xx_small,288,145.77,6.838,1,1.33,0.33,4.21
edgenext_xx_small,256,142.76,6.983,1,1.33,0.26,3.33
mobilenetv3_large_100,256,141.04,7.067,1,5.48,0.29,5.75
hardcorenas_b,224,139.46,7.146,1,5.18,0.26,5.09
mobilenetv1_100h,224,137.02,7.269,1,5.28,0.63,5.09
repghostnet_100,224,136.7,7.291,1,4.07,0.15,3.98
tf_mobilenetv3_large_minimal_100,224,135.13,7.374,1,3.92,0.22,4.4
mobilenetv3_large_100,224,135.11,7.377,1,5.48,0.23,4.41
tf_mobilenetv3_large_075,224,133.04,7.493,1,3.99,0.16,4.0
levit_128,224,128.82,7.736,1,9.21,0.41,2.71
tinynet_b,188,128.04,7.786,1,3.73,0.21,4.44
regnetx_004,224,128.0,7.786,1,5.16,0.4,3.14
hardcorenas_c,224,126.13,7.902,1,5.52,0.28,5.01
efficientnet_lite0,224,124.77,7.99,1,4.65,0.4,6.74
regnetx_006,224,124.69,7.995,1,6.2,0.61,3.98
regnetx_004_tv,224,123.65,8.061,1,5.5,0.42,3.17
spnasnet_100,224,121.97,8.171,1,4.42,0.35,6.03
mobilenet_edgetpu_v2_xs,224,119.74,8.329,1,4.46,0.7,4.8
tf_mobilenetv3_large_100,224,118.57,8.408,1,5.48,0.23,4.41
hardcorenas_d,224,117.16,8.511,1,7.5,0.3,4.93
mobilenetv1_125,224,116.05,8.591,1,6.27,0.89,6.3
fbnetc_100,224,115.63,8.626,1,5.57,0.4,6.51
hardcorenas_f,224,115.25,8.654,1,8.2,0.35,5.57
mobilenetv2_110d,224,114.18,8.735,1,4.52,0.45,8.71
levit_conv_128,224,113.39,8.793,1,9.21,0.41,2.71
dla46_c,224,113.23,8.806,1,1.3,0.58,4.5
regnety_004,224,111.71,8.931,1,4.34,0.41,3.89
vit_tiny_r_s16_p8_224,224,110.52,9.023,1,6.34,0.44,2.06
mobilevitv2_050,256,110.49,9.03,1,1.37,0.48,8.04
mobilenetv2_140,224,109.44,9.115,1,6.11,0.6,9.57
repghostnet_111,224,109.01,9.149,1,4.54,0.18,4.38
mobilenetv1_100,256,108.9,9.161,1,4.23,0.76,6.59
dla46x_c,224,108.69,9.178,1,1.07,0.54,5.66
efficientvit_m4,224,108.18,9.222,1,8.8,0.3,1.7
hardcorenas_e,224,108.15,9.221,1,8.07,0.35,5.65
convnext_atto,224,107.95,9.243,1,3.7,0.55,3.81
cs3darknet_s,256,107.58,9.272,1,3.28,0.72,2.97
efficientvit_m3,224,107.18,9.305,1,6.9,0.27,1.62
edgenext_x_small,256,107.01,9.325,1,2.34,0.54,5.93
regnety_006,224,105.83,9.425,1,6.06,0.61,4.33
gernet_s,224,104.32,9.558,1,8.17,0.75,2.65
mnasnet_140,224,103.97,9.594,1,7.12,0.6,7.71
resnet18,160,103.24,9.66,1,11.69,0.93,1.27
mobilenetv1_100h,256,103.01,9.684,1,5.28,0.82,6.65
tf_efficientnetv2_b0,192,102.23,9.758,1,7.14,0.54,3.51
hgnetv2_b1,224,101.5,9.823,1,6.34,0.49,2.73
ghostnet_100,224,101.36,9.84,1,5.18,0.15,3.55
resnet10t,224,101.08,9.869,1,5.44,1.1,2.43
levit_conv_192,224,100.88,9.888,1,10.95,0.66,3.2
levit_192,224,100.87,9.887,1,10.95,0.66,3.2
ghostnet_130,224,100.75,9.898,1,7.36,0.24,4.6
regnetx_008,224,100.17,9.958,1,7.26,0.81,5.15
cs3darknet_focus_s,256,99.25,10.051,1,3.27,0.69,2.7
tinynet_a,192,99.06,10.071,1,6.19,0.35,5.41
repghostnet_130,224,99.05,10.068,1,5.48,0.25,5.24
pit_ti_distilled_224,224,98.66,10.111,1,5.1,0.71,6.23
rexnetr_100,224,98.26,10.151,1,4.88,0.43,7.72
tf_efficientnet_lite0,224,97.3,10.249,1,4.65,0.4,6.74
pit_ti_224,224,97.19,10.264,1,4.85,0.7,6.19
regnety_008,224,97.13,10.269,1,6.26,0.81,5.25
convnext_atto_ols,224,96.79,10.31,1,3.7,0.58,4.11
hgnetv2_b0,288,96.75,10.308,1,6.0,0.54,3.51
mobilenet_edgetpu_100,224,95.97,10.397,1,4.09,1.0,5.75
regnety_008_tv,224,94.42,10.567,1,6.43,0.84,5.42
repghostnet_150,224,93.96,10.617,1,6.58,0.32,6.0
efficientnet_lite1,240,93.82,10.637,1,5.42,0.62,10.14
efficientnet_b0,224,93.58,10.662,1,5.29,0.4,6.75
efficientvit_b1,224,91.69,10.879,1,9.1,0.53,7.25
semnasnet_140,224,91.48,10.907,1,6.11,0.6,8.87
rexnet_100,224,91.29,10.929,1,4.8,0.41,7.44
mobilevit_xxs,256,90.65,11.011,1,1.27,0.42,8.34
edgenext_x_small,288,90.43,11.036,1,2.34,0.68,7.5
convnext_femto_ols,224,89.2,11.187,1,5.23,0.82,4.87
mobilenetv1_125,256,88.85,11.231,1,6.27,1.16,8.23
mixer_s32_224,224,88.28,11.299,1,19.1,1.0,2.28
xcit_nano_12_p16_224,224,87.78,11.371,1,3.05,0.56,4.17
ese_vovnet19b_slim,224,87.17,11.445,1,3.17,1.69,3.52
efficientformerv2_s0,224,86.81,11.497,1,3.6,0.41,5.3
convnextv2_atto,224,86.78,11.501,1,3.71,0.55,3.81
mobilenet_edgetpu_v2_s,224,85.54,11.666,1,5.99,1.21,6.6
mobilenetv4_conv_medium,224,84.5,11.808,1,9.72,0.84,5.8
dla60x_c,224,84.24,11.846,1,1.32,0.59,6.01
tf_efficientnetv2_b1,192,83.74,11.917,1,8.14,0.76,4.59
efficientnet_b0,256,82.19,12.142,1,5.29,0.52,8.81
resnet14t,176,81.88,12.186,1,10.08,1.07,3.61
hgnetv2_b1,288,81.46,12.251,1,6.34,0.82,4.51
mobileone_s1,224,81.13,12.302,1,4.83,0.86,9.67
efficientvit_b1,256,80.92,12.336,1,9.1,0.69,9.46
mobilenetv2_120d,224,80.63,12.378,1,5.83,0.69,11.97
ese_vovnet19b_dw,224,80.55,12.39,1,6.54,1.34,8.25
fbnetv3_b,224,80.54,12.391,1,8.6,0.42,6.97
repghostnet_200,224,80.43,12.406,1,9.8,0.54,7.96
deit_tiny_distilled_patch16_224,224,80.18,12.448,1,5.91,1.27,6.01
mobilenetv4_hybrid_medium_075,224,80.03,12.47,1,7.31,0.66,5.65
tf_efficientnetv2_b0,224,79.79,12.509,1,7.14,0.73,4.77
nf_regnet_b0,192,79.28,12.59,1,8.76,0.37,3.15
levit_256,224,77.98,12.799,1,18.89,1.13,4.23
ghostnetv2_100,224,77.73,12.839,1,6.16,0.18,4.55
vit_small_patch32_224,224,77.57,12.865,1,22.88,1.15,2.5
vit_tiny_patch16_224,224,77.57,12.868,1,5.72,1.26,5.97
deit_tiny_patch16_224,224,77.2,12.931,1,5.72,1.26,5.97
efficientnet_b1_pruned,240,77.19,12.932,1,6.33,0.4,6.21
tf_efficientnet_b0,224,77.17,12.933,1,5.29,0.4,6.75
convnext_femto,224,77.08,12.948,1,5.22,0.79,4.57
fbnetv3_b,256,77.03,12.958,1,8.6,0.55,9.1
fbnetv3_d,224,76.95,12.97,1,10.31,0.52,8.5
rexnetr_130,224,76.89,12.979,1,7.61,0.68,9.81
convnext_atto_ols,288,75.39,13.242,1,3.7,0.96,6.8
tf_efficientnet_lite1,240,74.97,13.315,1,5.42,0.62,10.14
efficientnet_cc_b0_4e,224,74.51,13.396,1,13.31,0.41,9.42
efficientvit_b1,288,73.91,13.508,1,9.1,0.87,11.96
efficientnet_lite2,260,73.69,13.546,1,6.09,0.89,12.9
efficientvit_m5,224,72.44,13.781,1,12.47,0.53,2.41
efficientnet_b0_gn,224,72.25,13.817,1,5.29,0.42,6.75
hgnetv2_b2,224,72.08,13.849,1,11.22,1.15,4.12
mobilenetv4_conv_medium,256,71.94,13.876,1,9.72,1.1,7.58
convnextv2_femto,224,71.93,13.879,1,5.23,0.79,4.57
efficientnet_b0_g16_evos,224,71.28,14.004,1,8.11,1.01,7.42
rexnet_130,224,71.2,14.022,1,7.56,0.68,9.71
gmlp_ti16_224,224,70.31,14.2,1,5.87,1.34,7.55
efficientnet_blur_b0,224,68.95,14.477,1,5.29,0.43,8.72
fbnetv3_d,256,68.8,14.512,1,10.31,0.68,11.1
mobilevitv2_075,256,68.69,14.534,1,2.87,1.05,12.06
tf_mixnet_s,224,68.57,14.56,1,4.13,0.25,6.25
pit_xs_224,224,68.23,14.63,1,10.62,1.4,7.71
levit_conv_256,224,67.71,14.745,1,18.89,1.13,4.23
edgenext_small,256,67.66,14.754,1,5.59,1.26,9.07
ghostnetv2_130,224,67.59,14.768,1,8.96,0.28,5.9
visformer_tiny,224,67.48,14.795,1,10.32,1.27,5.72
rexnetr_150,224,67.41,14.81,1,9.78,0.89,11.13
repvit_m1,224,67.3,14.835,1,5.49,0.83,7.45
pit_xs_distilled_224,224,66.69,14.963,1,11.0,1.41,7.76
efficientnet_es_pruned,224,66.45,15.026,1,5.44,1.81,8.73
tf_efficientnet_es,224,66.43,15.029,1,5.44,1.81,8.73
efficientnet_cc_b0_8e,224,66.29,15.061,1,24.01,0.42,9.42
convnext_atto,288,66.24,15.073,1,3.7,0.91,6.3
efficientnet_b0_g8_gn,224,66.06,15.111,1,6.56,0.66,6.75
efficientnet_es,224,65.44,15.255,1,5.44,1.81,8.73
mobilenet_edgetpu_v2_m,224,65.39,15.267,1,8.46,1.85,8.15
vit_tiny_r_s16_p8_384,384,65.32,15.284,1,6.36,1.34,6.49
repvit_m0_9,224,64.74,15.423,1,5.49,0.83,7.45
tf_efficientnet_cc_b0_4e,224,64.52,15.451,1,13.31,0.41,9.42
regnetz_005,224,64.47,15.487,1,7.12,0.52,5.86
fastvit_t8,256,64.37,15.515,1,4.03,0.7,8.63
seresnet18,224,64.3,15.526,1,11.78,1.82,2.49
rexnet_150,224,64.23,15.544,1,9.73,0.9,11.21
tf_efficientnetv2_b2,208,64.06,15.584,1,10.1,1.06,6.0
mobilenetv3_large_150d,256,63.96,15.61,1,14.62,1.03,12.35
pvt_v2_b0,224,63.86,15.634,1,3.67,0.57,7.99
regnetx_016,224,63.8,15.648,1,9.19,1.62,7.93
efficientnet_b1,224,63.79,15.651,1,7.79,0.59,9.36
mixnet_s,224,63.75,15.663,1,4.13,0.25,6.25
efficientformerv2_s1,224,63.46,15.736,1,6.19,0.67,7.66
mobileone_s2,224,63.39,15.751,1,7.88,1.34,11.55
mobilenetv4_hybrid_medium,224,62.29,16.028,1,11.07,0.98,6.84
resnet18,224,62.22,16.046,1,11.69,1.82,2.48
resnet14t,224,62.13,16.072,1,10.08,1.69,5.8
vit_xsmall_patch16_clip_224,224,62.07,16.087,1,8.28,1.79,6.65
repvgg_a0,224,62.04,16.092,1,9.11,1.52,3.59
tf_efficientnet_cc_b0_8e,224,61.37,16.269,1,24.01,0.42,9.42
nf_regnet_b0,256,61.3,16.286,1,8.76,0.64,5.58
efficientformer_l1,224,61.29,16.291,1,12.29,1.3,5.53
repvit_m1_0,224,60.89,16.399,1,7.3,1.13,8.69
legacy_seresnet18,224,60.78,16.425,1,11.78,1.82,2.49
convnextv2_atto,288,60.59,16.476,1,3.71,0.91,6.3
poolformerv2_s12,224,60.47,16.512,1,11.89,1.83,5.53
tf_efficientnet_lite2,260,59.99,16.647,1,6.09,0.89,12.9
resnet34,160,59.58,16.758,1,21.8,1.87,1.91
efficientnet_b1,240,59.08,16.902,1,7.79,0.71,10.88
eva02_tiny_patch14_224,224,58.77,16.992,1,5.5,1.7,9.14
xcit_tiny_12_p16_224,224,58.69,17.015,1,6.72,1.24,6.29
convnext_pico,224,58.47,17.082,1,9.05,1.37,6.1
convnext_femto_ols,288,58.37,17.107,1,5.23,1.35,8.06
skresnet18,224,57.26,17.438,1,11.96,1.82,3.24
resnetblur18,224,56.99,17.521,1,11.69,2.34,3.39
repvit_m2,224,56.93,17.54,1,8.8,1.36,9.43
convnext_femto,288,56.87,17.561,1,5.22,1.3,7.56
edgenext_small_rw,256,56.39,17.709,1,7.83,1.58,9.51
mobilenetv4_conv_blur_medium,224,56.36,17.718,1,9.72,1.22,8.58
levit_256d,224,56.23,17.762,1,26.21,1.4,4.93
repvit_m1_1,224,56.14,17.789,1,8.8,1.36,9.43
efficientnet_b2_pruned,260,56.09,17.802,1,8.31,0.73,9.13
resnet18d,224,55.94,17.85,1,11.71,2.06,3.29
mobilenetv4_conv_medium,320,55.63,17.951,1,9.72,1.71,11.84
ese_vovnet19b_dw,288,55.61,17.955,1,6.54,2.22,13.63
tf_efficientnetv2_b1,240,55.54,17.979,1,8.14,1.21,7.34
mobilenetv4_hybrid_medium,256,55.47,18.002,1,11.07,1.29,9.01
crossvit_tiny_240,240,55.35,18.041,1,7.01,1.57,9.08
hgnetv2_b2,288,55.22,18.084,1,11.22,1.89,6.8
poolformer_s12,224,55.05,18.138,1,11.92,1.82,5.53
mobilenetv4_conv_aa_medium,256,54.57,18.299,1,9.72,1.58,10.3
convnext_pico_ols,224,54.47,18.335,1,9.06,1.43,6.5
tf_efficientnet_b1,240,54.39,18.361,1,7.79,0.71,10.88
efficientnet_b1,256,53.72,18.59,1,7.79,0.77,12.22
mobilevit_xs,256,53.72,18.59,1,2.32,1.05,16.33
xcit_nano_12_p16_384,384,53.61,18.629,1,3.05,1.64,12.15
ghostnetv2_160,224,53.14,18.791,1,12.39,0.42,7.23
resnet26,224,52.94,18.865,1,16.0,2.36,7.35
hgnetv2_b3,224,52.84,18.9,1,16.29,1.78,5.07
crossvit_9_240,240,52.78,18.922,1,8.55,1.85,9.52
levit_conv_256d,224,52.46,19.035,1,26.21,1.4,4.93
cs3darknet_m,256,51.91,19.236,1,9.31,2.08,5.28
cs3darknet_focus_m,256,51.44,19.417,1,9.3,1.98,4.89
mixnet_m,224,51.43,19.421,1,5.01,0.36,8.19
regnetz_b16,224,51.32,19.464,1,9.72,1.45,9.95
crossvit_9_dagger_240,240,51.29,19.474,1,8.78,1.99,9.97
dpn48b,224,51.25,19.489,1,9.13,1.69,8.92
mobilenet_edgetpu_v2_m,256,51.21,19.504,1,8.46,2.42,10.65
regnety_016,224,51.17,19.52,1,11.2,1.63,8.04
convnextv2_pico,224,50.82,19.657,1,9.07,1.37,6.1
efficientnet_b2,256,50.61,19.735,1,9.11,0.89,12.81
mobilenetv3_large_150d,320,50.08,19.941,1,14.62,1.61,19.29
nf_regnet_b1,256,49.7,20.096,1,10.22,0.82,7.27
legacy_seresnext26_32x4d,224,49.5,20.177,1,16.79,2.49,9.39
mobilenetv4_conv_blur_medium,256,49.26,20.275,1,9.72,1.59,11.2
mobileone_s3,224,49.26,20.277,1,10.17,1.94,13.85
mobileone_s0,224,49.2,20.304,1,5.29,1.09,15.48
tf_mixnet_m,224,49.19,20.305,1,5.01,0.36,8.19
vit_medium_patch32_clip_224,224,49.16,20.313,1,39.69,2.0,3.34
convnextv2_femto,288,48.87,20.44,1,5.23,1.3,7.56
mobilevitv2_100,256,48.56,20.567,1,4.9,1.84,16.08
repvgg_a1,224,48.34,20.655,1,14.09,2.64,4.74
gmixer_12_224,224,48.05,20.786,1,12.7,2.67,7.26
regnetz_005,288,47.79,20.902,1,7.12,0.86,9.68
edgenext_small,320,47.75,20.917,1,5.59,1.97,14.16
efficientnet_lite3,300,47.75,20.918,1,8.2,1.65,21.85
efficientnet_b1,288,47.52,21.022,1,7.79,0.97,15.46
tiny_vit_5m_224,224,47.52,21.012,1,12.08,1.28,11.25
regnetz_b16_evos,224,47.13,21.193,1,9.74,1.43,9.95
ecaresnext50t_32x4d,224,46.88,21.304,1,15.41,2.7,10.09
resnext50_32x4d,160,46.79,21.347,1,25.03,2.17,7.35
coat_lite_tiny,224,46.76,21.36,1,5.72,1.6,11.65
mobilenet_edgetpu_v2_l,224,46.43,21.512,1,10.92,2.55,9.05
tf_efficientnetv2_b2,260,46.31,21.567,1,10.1,1.72,9.84
cs3darknet_focus_m,288,46.19,21.624,1,9.3,2.51,6.19
fbnetv3_g,240,46.17,21.632,1,16.62,1.28,14.87
xcit_nano_12_p8_224,224,45.93,21.749,1,3.05,2.16,15.71
ecaresnext26t_32x4d,224,45.83,21.795,1,15.41,2.7,10.09
efficientnet_b3_pruned,300,45.83,21.793,1,9.86,1.04,11.86
seresnext26t_32x4d,224,45.82,21.799,1,16.81,2.7,10.09
resnest14d,224,45.77,21.821,1,10.61,2.76,7.33
dla34,224,45.69,21.857,1,15.74,3.07,5.02
rexnet_200,224,45.02,22.186,1,16.37,1.56,14.91
resnet18,288,44.98,22.209,1,11.69,3.01,4.11
seresnext26d_32x4d,224,44.67,22.357,1,16.81,2.73,10.19
eca_resnext26ts,256,44.62,22.384,1,10.3,2.43,10.52
seresnext26ts,256,44.62,22.387,1,10.39,2.43,10.52
nf_regnet_b1,288,44.25,22.573,1,10.22,1.02,9.2
cs3darknet_m,288,44.05,22.676,1,9.31,2.63,6.69
resnext26ts,256,43.89,22.755,1,10.3,2.43,10.52
hrnet_w18_small,224,43.65,22.885,1,13.19,1.61,5.72
resnet50,160,43.63,22.892,1,25.56,2.1,5.67
gernet_m,224,43.54,22.945,1,21.14,3.02,5.24
resmlp_12_224,224,43.38,23.027,1,15.35,3.01,5.5
mobilenetv4_hybrid_medium,320,43.17,23.141,1,11.07,2.05,14.36
efficientvit_b2,224,43.16,23.139,1,24.33,1.6,14.62
resnext50_32x4d,176,42.92,23.271,1,25.03,2.71,8.97
efficientnet_b2,288,42.86,23.307,1,9.11,1.12,16.2
lambda_resnet26rpt_256,256,42.84,23.317,1,10.99,3.16,11.87
lambda_resnet26t,256,42.48,23.514,1,10.96,3.02,11.87
gcresnext26ts,256,42.38,23.57,1,10.48,2.43,10.53
levit_384,224,42.25,23.643,1,39.13,2.36,6.26
rexnetr_200,224,42.22,23.653,1,16.52,1.59,15.11
seresnet18,288,42.19,23.675,1,11.78,3.01,4.11
efficientnet_cc_b1_8e,240,42.18,23.68,1,39.72,0.75,15.44
coat_lite_mini,224,42.12,23.714,1,11.01,2.0,12.25
dpn68,224,42.01,23.778,1,12.61,2.35,10.47
tf_mixnet_l,224,41.91,23.833,1,7.33,0.58,10.84
efficientformerv2_s2,224,41.63,23.997,1,12.71,1.27,11.77
tf_efficientnet_b2,260,41.61,24.005,1,9.11,1.02,13.83
fastvit_t12,256,41.56,24.039,1,7.55,1.42,12.42
resnet26d,224,41.27,24.203,1,16.01,2.6,8.15
nf_regnet_b2,240,41.2,24.245,1,14.31,0.97,7.23
resnet50d,160,40.99,24.37,1,25.58,2.22,6.08
eca_botnext26ts_256,256,40.97,24.379,1,10.59,2.46,11.6
tf_efficientnet_em,240,40.71,24.537,1,6.9,3.04,14.34
resnet18d,288,40.62,24.592,1,11.71,3.41,5.43
tf_efficientnetv2_b3,240,40.22,24.835,1,14.36,1.93,9.95
efficientnetv2_rw_t,224,40.18,24.866,1,13.65,1.93,9.94
efficientnet_em,240,40.1,24.91,1,6.9,3.04,14.34
tf_efficientnet_cc_b1_8e,240,40.1,24.913,1,39.72,0.75,15.44
mixnet_l,224,39.9,25.04,1,7.33,0.58,10.84
seresnet50,160,39.88,25.05,1,28.09,2.1,5.69
resnet50,176,39.81,25.095,1,25.56,2.62,6.92
tf_efficientnet_lite3,300,39.76,25.126,1,8.2,1.65,21.85
repvgg_b0,224,39.75,25.127,1,15.82,3.41,6.15
botnet26t_256,256,39.7,25.167,1,12.49,3.32,11.98
eca_halonext26ts,256,39.59,25.233,1,10.76,2.44,11.46
levit_conv_384,224,39.52,25.276,1,39.13,2.36,6.26
mobilevit_s,256,39.42,25.343,1,5.58,2.03,19.94
hgnetv2_b3,288,39.28,25.432,1,16.29,2.94,8.38
resnet26t,256,39.22,25.471,1,16.01,3.35,10.52
dpn68b,224,39.08,25.566,1,12.61,2.35,10.47
regnetx_032,224,39.08,25.564,1,15.3,3.2,11.37
ecaresnet50t,160,39.07,25.569,1,25.57,2.21,6.04
haloregnetz_b,224,38.92,25.668,1,11.68,1.97,11.94
repvit_m3,224,38.91,25.671,1,10.68,1.89,13.94
halonet26t,256,38.81,25.741,1,12.48,3.19,11.69
ecaresnet50d_pruned,224,38.75,25.779,1,19.94,2.53,6.43
edgenext_small_rw,320,38.68,25.829,1,7.83,2.46,14.85
fbnetv3_g,288,38.42,26.003,1,16.62,1.77,21.09
hgnetv2_b4,224,38.42,26.001,1,19.8,2.75,6.7
coatnet_pico_rw_224,224,38.15,26.193,1,10.85,2.05,14.62
convit_tiny,224,38.05,26.261,1,5.71,1.26,7.94
efficientvit_b2,256,38.01,26.282,1,24.33,2.09,19.03
nf_regnet_b2,272,37.81,26.422,1,14.31,1.22,9.27
pit_s_224,224,37.65,26.533,1,23.46,2.88,11.56
seresnext26ts,288,37.55,26.602,1,10.39,3.07,13.32
resnext26ts,288,37.5,26.641,1,10.3,3.07,13.31
mobilevitv2_125,256,37.19,26.863,1,7.48,2.86,20.1
resnet34,224,37.02,26.985,1,21.8,3.67,3.74
vit_small_patch32_384,384,36.96,27.025,1,22.92,3.45,8.25
convnext_pico_ols,288,36.86,27.111,1,9.06,2.37,10.74
pit_s_distilled_224,224,36.78,27.158,1,24.04,2.9,11.64
tiny_vit_11m_224,224,36.53,27.347,1,20.35,2.04,13.49
resnetblur18,288,36.4,27.445,1,11.69,3.87,5.6
resnetrs50,160,36.37,27.467,1,35.69,2.29,6.2
regnetz_b16,288,36.11,27.668,1,9.72,2.39,16.43
darknet17,256,36.08,27.687,1,14.3,3.26,7.18
regnety_032,224,36.05,27.711,1,19.44,3.2,11.26
gc_efficientnetv2_rw_t,224,35.95,27.794,1,13.68,1.94,9.97
fastvit_s12,256,35.89,27.845,1,9.47,1.82,13.67
maxvit_pico_rw_256,256,35.82,27.894,1,7.46,1.83,22.3
ecaresnet26t,256,35.72,27.972,1,16.01,3.35,10.53
legacy_seresnet34,224,35.62,28.047,1,21.96,3.67,3.74
mixer_s16_224,224,35.4,28.223,1,18.53,3.79,5.97
dla60x,224,35.39,28.232,1,17.35,3.54,13.8
eca_resnext26ts,288,35.16,28.416,1,10.3,3.07,13.32
mobileone_s4,224,34.97,28.571,1,14.95,3.04,17.74
resnet34d,224,34.93,28.602,1,21.82,3.91,4.54
maxvit_rmlp_pico_rw_256,256,34.8,28.705,1,7.52,1.85,24.86
convnext_nano,224,34.79,28.717,1,15.59,2.46,8.37
seresnet34,224,34.75,28.749,1,21.96,3.67,3.74
regnetz_c16,256,34.57,28.903,1,13.46,2.51,16.57
resnest26d,224,34.46,28.994,1,17.07,3.64,9.97
vit_betwixt_patch32_clip_224,224,34.42,29.026,1,61.41,3.09,4.17
convnext_nano_ols,224,34.3,29.131,1,15.65,2.65,9.38
gcresnext26ts,288,34.18,29.228,1,10.48,3.07,13.33
convnextv2_nano,224,33.96,29.419,1,15.62,2.46,8.37
vit_wee_patch16_reg1_gap_256,256,33.86,29.51,1,13.42,3.83,13.9
repvit_m1_5,224,33.68,29.667,1,14.64,2.31,15.7
fastvit_sa12,256,33.64,29.7,1,11.58,1.96,14.03
regnetz_b16_evos,288,33.34,29.968,1,9.74,2.36,16.43
xcit_tiny_12_p16_384,384,33.27,30.033,1,6.72,3.64,18.26
poolformerv2_s24,224,33.25,30.052,1,21.34,3.42,10.68
hgnet_tiny,224,33.19,30.106,1,14.74,4.54,6.36
twins_svt_small,224,33.19,30.101,1,24.06,2.94,13.75
mobilenetv4_hybrid_large_075,256,33.17,30.117,1,22.75,2.06,11.64
xcit_tiny_24_p16_224,224,33.16,30.134,1,12.12,2.34,11.82
efficientnet_b3,288,33.12,30.163,1,12.23,1.63,21.49
resnet26,288,32.71,30.542,1,16.0,3.9,12.15
nf_regnet_b3,288,32.68,30.576,1,18.59,1.67,11.84
efficientvit_b2,288,32.57,30.68,1,24.33,2.64,24.03
gcvit_xxtiny,224,32.5,30.743,1,12.0,2.14,15.36
cait_xxs24_224,224,32.44,30.799,1,11.96,2.53,20.29
convnextv2_pico,288,32.09,31.137,1,9.07,2.27,10.08
skresnet34,224,31.94,31.278,1,22.28,3.67,5.13
coatnet_nano_cc_224,224,31.9,31.328,1,13.76,2.24,15.02
mobilenetv4_hybrid_medium,384,31.84,31.377,1,11.07,3.01,21.18
mixer_b32_224,224,31.83,31.392,1,60.29,3.24,6.29
hrnet_w18_small_v2,224,31.76,31.451,1,15.6,2.62,9.65
regnetz_c16_evos,256,31.48,31.744,1,13.49,2.48,16.57
nf_seresnet26,224,31.29,31.929,1,17.4,2.41,7.36
rexnetr_200,288,31.29,31.935,1,16.52,2.62,24.96
regnetx_040,224,31.24,31.982,1,22.12,3.99,12.2
coatnet_nano_rw_224,224,31.2,32.033,1,15.14,2.41,15.41
cspresnext50,256,31.19,32.036,1,20.57,4.05,15.86
dla60_res2next,224,31.19,32.04,1,17.03,3.49,13.17
nf_resnet26,224,31.16,32.071,1,16.0,2.41,7.35
coatnext_nano_rw_224,224,31.15,32.082,1,14.7,2.47,12.8
resnext50_32x4d,224,30.91,32.332,1,25.03,4.26,14.4
convnext_pico,288,30.83,32.41,1,9.05,2.27,10.08
vit_pwee_patch16_reg1_gap_256,256,30.75,32.497,1,15.25,4.37,15.87
regnety_040,224,30.56,32.694,1,20.65,4.0,12.29
mixnet_xl,224,30.5,32.766,1,11.9,0.93,14.57
resnet50,224,30.48,32.78,1,25.56,4.11,11.11
poolformer_s24,224,30.46,32.804,1,21.39,3.41,10.68
dla60,224,30.28,32.993,1,22.04,4.26,10.16
seresnext26t_32x4d,288,30.14,33.149,1,16.81,4.46,16.68
resnetaa34d,224,29.99,33.316,1,21.82,4.43,5.07
darknet21,256,29.98,33.327,1,20.86,3.93,7.47
gernet_l,256,29.97,33.343,1,31.08,4.57,8.0
tf_efficientnetv2_b3,300,29.89,33.434,1,14.36,3.04,15.74
resnet50t,224,29.81,33.516,1,25.57,4.32,11.82
resnet26d,288,29.49,33.889,1,16.01,4.29,13.48
nf_ecaresnet26,224,29.45,33.93,1,16.0,2.41,7.36
tf_efficientnet_b3,300,29.39,33.995,1,12.23,1.87,23.83
deit_small_patch16_224,224,29.36,34.032,1,22.05,4.61,11.95
resnext50d_32x4d,224,29.31,34.096,1,25.05,4.5,15.2
resnet50d,224,29.3,34.102,1,25.58,4.35,11.92
resnet50c,224,28.94,34.531,1,25.58,4.35,11.92
edgenext_base,256,28.92,34.545,1,18.51,3.85,15.58
skresnet50,224,28.92,34.553,1,25.8,4.11,12.5
deit_small_distilled_patch16_224,224,28.75,34.757,1,22.44,4.63,12.02
densenet121,224,28.75,34.76,1,7.98,2.87,6.9
ecaresnetlight,224,28.74,34.769,1,30.16,4.11,8.42
nf_regnet_b3,320,28.72,34.794,1,18.59,2.05,14.61
seresnext50_32x4d,224,28.7,34.812,1,27.56,4.26,14.42
ecaresnet50d_pruned,288,28.61,34.922,1,19.94,4.19,10.61
twins_pcpvt_small,224,28.57,34.969,1,24.11,3.83,18.08
efficientnetv2_rw_t,288,28.56,34.992,1,13.65,3.19,16.42
legacy_seresnet50,224,28.54,35.008,1,28.09,3.88,10.6
coatnet_rmlp_nano_rw_224,224,28.35,35.248,1,15.15,2.62,20.34
deit3_small_patch16_224,224,28.3,35.317,1,22.06,4.61,11.95
resnet32ts,256,28.3,35.316,1,17.96,4.63,11.58
seresnext26d_32x4d,288,28.24,35.385,1,16.81,4.51,16.85
seresnet50,224,28.23,35.388,1,28.09,4.11,11.13
mobilevitv2_150,256,28.2,35.435,1,10.59,4.09,24.11
legacy_seresnext50_32x4d,224,28.16,35.481,1,27.56,4.26,14.42
cs3darknet_l,256,28.08,35.587,1,21.16,4.86,8.55
resnet50_gn,224,27.93,35.772,1,25.56,4.14,11.11
ecaresnet101d_pruned,224,27.91,35.796,1,24.88,3.48,7.69
gcresnext50ts,256,27.84,35.895,1,15.67,3.75,15.46
hgnetv2_b4,288,27.83,35.909,1,19.8,4.54,11.08
efficientnet_b3,320,27.78,35.977,1,12.23,2.01,26.52
caformer_s18,224,27.71,36.057,1,26.34,4.13,19.39
pvt_v2_b1,224,27.63,36.165,1,14.01,2.12,15.39
cs3darknet_focus_l,256,27.57,36.242,1,21.15,4.66,8.03
cspresnet50,256,27.54,36.281,1,21.62,4.54,11.5
resnet26t,320,27.51,36.326,1,16.01,5.24,16.44
densenetblur121d,224,27.46,36.385,1,8.0,3.11,7.9
skresnet50d,224,27.46,36.393,1,25.82,4.36,13.31
resnetv2_50,224,27.39,36.486,1,25.55,4.11,11.11
cspresnet50d,256,27.36,36.525,1,21.64,4.86,12.55
ecaresnet50t,224,27.34,36.544,1,25.57,4.32,11.83
dpn68b,288,27.22,36.717,1,12.61,3.89,17.3
efficientnet_b3_gn,288,27.22,36.708,1,11.73,1.74,23.35
resnetv2_50d,224,27.21,36.721,1,25.57,4.35,11.92
efficientformer_l3,224,27.2,36.738,1,31.41,3.93,12.01
gc_efficientnetv2_rw_t,288,27.05,36.95,1,13.68,3.2,16.45
res2next50,224,27.0,37.006,1,24.67,4.2,13.71
ecaresnet50d,224,26.97,37.048,1,25.58,4.35,11.93
fastvit_mci0,256,26.96,37.067,1,11.41,2.42,18.29
gmlp_s16_224,224,26.92,37.128,1,19.42,4.42,15.1
res2net50_26w_4s,224,26.87,37.194,1,25.7,4.28,12.61
vit_tiny_patch16_384,384,26.83,37.249,1,5.79,4.7,25.39
vit_small_patch16_224,224,26.71,37.412,1,22.05,4.61,11.95
convnext_tiny,224,26.62,37.534,1,28.59,4.47,13.44
eca_resnet33ts,256,26.56,37.626,1,19.68,4.76,11.66
regnetv_040,224,26.53,37.665,1,20.64,4.0,12.29
skresnext50_32x4d,224,26.51,37.688,1,27.48,4.5,17.18
vit_relpos_small_patch16_rpn_224,224,26.5,37.708,1,21.97,4.59,13.05
seresnet50t,224,26.45,37.776,1,28.1,4.32,11.83
eva02_tiny_patch14_336,336,26.39,37.866,1,5.76,4.68,27.16
mobilenetv4_hybrid_medium,448,26.36,37.913,1,11.07,4.2,29.64
vit_small_r26_s32_224,224,26.29,38.004,1,36.43,3.56,9.85
gcvit_xtiny,224,26.28,38.018,1,19.98,2.93,20.26
vit_relpos_small_patch16_224,224,26.23,38.099,1,21.98,4.59,13.05
rexnetr_300,224,26.17,38.18,1,34.81,3.39,22.16
regnety_040_sgn,224,26.08,38.315,1,20.65,4.03,12.29
mobilenetv4_conv_large,256,26.05,38.363,1,32.59,2.86,12.14
res2net50_48w_2s,224,26.05,38.36,1,25.29,4.18,11.72
resnet33ts,256,26.05,38.358,1,19.68,4.76,11.66
inception_next_tiny,224,25.94,38.523,1,28.06,4.19,11.98
resnetblur50,224,25.93,38.542,1,25.56,5.16,12.02
dla60_res2net,224,25.89,38.592,1,20.85,4.15,12.34
sedarknet21,256,25.87,38.621,1,20.95,3.93,7.47
xcit_tiny_12_p8_224,224,25.82,38.703,1,6.71,4.81,23.6
gcresnet33ts,256,25.8,38.728,1,19.88,4.76,11.68
resnetv2_50t,224,25.78,38.759,1,25.57,4.32,11.82
mobilenetv4_conv_large,320,25.68,38.912,1,32.59,4.47,18.97
resnetrs50,224,25.6,39.031,1,35.69,4.48,12.14
resnetaa50,224,25.59,39.051,1,25.56,5.15,11.64
cs3sedarknet_l,256,25.57,39.083,1,21.91,4.86,8.56
seresnet33ts,256,25.55,39.113,1,19.78,4.76,11.66
vit_base_patch32_clip_quickgelu_224,224,25.52,39.162,1,87.85,4.41,5.01
res2net50d,224,25.41,39.319,1,25.72,4.52,13.41
resnet50_clip_gap,224,25.33,39.444,1,23.53,5.39,12.44
gmixer_24_224,224,25.32,39.467,1,24.72,5.28,14.45
resnet101,160,25.18,39.69,1,44.55,4.0,8.28
rexnet_300,224,25.16,39.723,1,34.71,3.44,22.4
resnetaa50d,224,25.13,39.772,1,25.58,5.39,12.44
resnetblur50d,224,25.03,39.922,1,25.58,5.4,12.82
efficientformerv2_l,224,24.99,39.986,1,26.32,2.59,18.54
resnet34,288,24.98,40.004,1,21.8,6.07,6.18
vit_srelpos_small_patch16_224,224,24.97,40.028,1,21.97,4.59,12.16
hiera_tiny_224,224,24.89,40.14,1,27.91,4.91,17.13
res2net50_14w_8s,224,24.78,40.33,1,25.06,4.21,13.28
regnety_032,288,24.68,40.5,1,19.44,5.29,18.61
resnetv2_50d_frn,224,24.63,40.576,1,25.59,4.33,11.92
densenet169,224,24.61,40.608,1,14.15,3.4,7.3
resnet33ts,288,24.57,40.672,1,19.68,6.02,14.75
efficientnet_b3_g8_gn,288,24.55,40.716,1,14.25,2.59,23.35
convnextv2_tiny,224,24.54,40.715,1,28.64,4.47,13.44
sehalonet33ts,256,24.53,40.735,1,13.69,3.55,14.7
resnetv2_50d_gn,224,24.52,40.755,1,25.57,4.38,11.92
vit_base_patch32_clip_224,224,24.37,41.007,1,88.22,4.41,5.01
davit_tiny,224,24.36,41.026,1,28.36,4.54,18.89
convnext_nano,288,24.35,41.038,1,15.59,4.06,13.84
coat_lite_small,224,24.34,41.057,1,19.84,3.96,22.09
convnextv2_nano,288,24.34,41.052,1,15.62,4.06,13.84
ecaresnet26t,320,24.25,41.216,1,16.01,5.24,16.44
pvt_v2_b2_li,224,24.06,41.533,1,22.55,3.91,27.6
regnetz_c16,320,24.0,41.635,1,13.46,3.92,25.88
resnest50d_4s2x40d,224,23.98,41.674,1,30.42,4.4,17.94
resnet34d,288,23.92,41.785,1,21.82,6.47,7.51
vit_base_patch32_224,224,23.74,42.092,1,88.22,4.41,5.01
gcresnext50ts,288,23.72,42.132,1,15.67,4.75,19.57
efficientnet_b3_gn,320,23.7,42.166,1,11.73,2.14,28.83
seresnet34,288,23.69,42.184,1,21.96,6.07,6.18
resnet50s,224,23.56,42.42,1,25.68,5.47,13.52
repvgg_a2,224,23.52,42.486,1,28.21,5.7,6.26
seresnetaa50d,224,23.38,42.748,1,28.11,5.4,12.46
convformer_s18,224,23.35,42.802,1,26.77,3.96,15.82
vit_small_resnet26d_224,224,23.28,42.926,1,63.61,5.07,11.12
sam2_hiera_tiny,224,23.24,42.996,1,26.85,4.91,17.12
flexivit_small,240,23.15,43.162,1,22.06,5.35,14.18
poolformerv2_s36,224,23.1,43.266,1,30.79,5.01,15.82
resnetv2_50d_evos,224,23.02,43.404,1,25.59,4.33,11.92
xcit_small_12_p16_224,224,23.02,43.419,1,26.25,4.82,12.58
cait_xxs36_224,224,22.89,43.667,1,17.3,3.77,30.34
convnext_tiny_hnf,224,22.84,43.758,1,28.59,4.47,13.44
tiny_vit_21m_224,224,22.73,43.971,1,33.22,4.29,20.08
resnet101,176,22.71,44.012,1,44.55,4.92,10.08
tf_efficientnet_lite4,380,22.62,44.185,1,13.01,4.04,45.66
coatnet_bn_0_rw_224,224,22.61,44.203,1,27.44,4.67,22.04
resnet32ts,288,22.61,44.196,1,17.96,5.86,14.65
maxvit_nano_rw_256,256,22.59,44.245,1,15.45,4.46,30.28
convnext_nano_ols,288,22.45,44.517,1,15.65,4.38,15.5
resnest50d,224,22.45,44.512,1,27.48,5.4,14.36
regnetz_c16_evos,320,22.44,44.548,1,13.49,3.86,25.88
visformer_small,224,22.38,44.663,1,40.22,4.88,11.43
ese_vovnet39b,224,22.3,44.813,1,24.57,7.09,6.74
maxvit_rmlp_nano_rw_256,256,22.28,44.85,1,15.5,4.47,31.92
cs3darknet_focus_l,288,22.27,44.874,1,21.15,5.9,10.16
resmlp_24_224,224,22.22,44.978,1,30.02,5.96,10.91
regnetx_064,224,22.15,45.129,1,26.21,6.49,16.37
convmixer_1024_20_ks9_p14,224,22.09,45.242,1,24.38,5.55,5.51
selecsls60,224,22.09,45.246,1,30.67,3.59,5.52
tresnet_m,224,22.09,45.236,1,31.39,5.75,7.31
nextvit_small,224,22.04,45.35,1,31.76,5.81,18.44
ecaresnet50t,256,21.83,45.776,1,25.57,5.64,15.45
lambda_resnet50ts,256,21.8,45.839,1,21.54,5.07,17.48
resnet50_clip,224,21.77,45.907,1,38.32,6.14,12.98
mobilevitv2_175,256,21.73,45.985,1,14.25,5.54,28.13
seresnet33ts,288,21.65,46.163,1,19.78,6.02,14.76
vit_little_patch16_reg1_gap_256,256,21.63,46.198,1,22.52,6.27,18.06
cs3darknet_l,288,21.62,46.225,1,21.16,6.16,10.83
poolformer_s36,224,21.62,46.237,1,30.86,5.0,15.82
selecsls42,224,21.54,46.391,1,30.35,2.94,4.62
gcresnet50t,256,21.51,46.467,1,25.9,5.42,14.67
vit_little_patch16_reg4_gap_256,256,21.51,46.462,1,22.52,6.35,18.33
inception_v3,299,21.48,46.52,1,23.83,5.73,8.97
efficientnetv2_s,288,21.43,46.639,1,21.46,4.75,20.13
dla102x,224,21.31,46.899,1,26.31,5.89,19.42
hgnet_tiny,288,21.24,47.063,1,14.74,7.51,10.51
regnetz_040_h,256,21.23,47.076,1,28.94,4.12,24.29
selecsls60b,224,21.23,47.084,1,32.77,3.63,5.52
sebotnet33ts_256,256,21.22,47.09,1,13.7,3.89,17.46
coatnet_0_rw_224,224,21.11,47.346,1,27.44,4.43,18.73
gcresnet33ts,288,21.11,47.353,1,19.88,6.02,14.78
edgenext_base,320,21.02,47.535,1,18.51,6.01,24.32
resnetv2_50x1_bit,224,20.97,47.659,1,25.55,4.23,11.11
resnest50d_1s4x24d,224,20.96,47.676,1,25.68,4.43,13.57
densenet121,288,20.94,47.724,1,7.98,4.74,11.41
mvitv2_tiny,224,20.94,47.716,1,24.17,4.7,21.16
levit_512,224,20.93,47.75,1,95.17,5.64,10.22
vit_base_patch32_clip_256,256,20.88,47.863,1,87.86,5.76,6.65
eca_resnet33ts,288,20.85,47.947,1,19.68,6.02,14.76
efficientvit_b3,224,20.85,47.936,1,48.65,3.99,26.9
regnetz_040,256,20.81,48.025,1,27.12,4.06,24.19
regnetz_d8,256,20.72,48.241,1,23.37,3.97,23.74
resnetaa34d,288,20.68,48.319,1,21.82,7.33,8.38
regnety_064,224,20.66,48.367,1,30.58,6.39,16.41
eca_vovnet39b,224,20.63,48.456,1,22.6,7.09,6.74
fastvit_sa24,256,20.6,48.531,1,21.55,3.8,24.32
regnety_040,288,20.57,48.586,1,20.65,6.61,20.3
eva02_small_patch14_224,224,20.51,48.731,1,21.62,6.14,18.28
coatnet_rmlp_0_rw_224,224,20.41,48.965,1,27.45,4.72,24.89
regnetz_d8_evos,256,20.41,48.979,1,23.46,4.5,24.92
resnet50_mlp,256,20.4,48.996,1,26.65,7.05,16.25
cspresnet50w,256,20.38,49.046,1,28.12,5.04,12.19
cs3sedarknet_l,288,20.36,49.078,1,21.91,6.16,10.83
resnet50,288,20.27,49.302,1,25.56,6.8,18.37
tnt_s_patch16_224,224,20.22,49.434,1,23.76,5.24,24.37
selecsls42b,224,20.21,49.453,1,32.46,2.98,4.62
crossvit_15_240,240,20.18,49.54,1,27.53,5.81,19.77
efficientnetv2_rw_s,288,20.17,49.545,1,23.94,4.91,21.41
nf_regnet_b4,320,20.15,49.614,1,30.21,3.29,19.88
levit_512d,224,20.1,49.719,1,92.5,5.85,11.3
densenetblur121d,288,20.05,49.842,1,8.0,5.14,13.06
coatnet_0_224,224,20.03,49.905,1,25.04,4.58,24.01
maxxvit_rmlp_nano_rw_256,256,20.03,49.896,1,16.78,4.37,26.05
efficientnet_b3_g8_gn,320,19.99,49.99,1,14.25,3.2,28.83
lamhalobotnet50ts_256,256,19.98,50.023,1,22.57,5.02,18.44
nest_tiny,224,19.98,50.035,1,17.06,5.83,25.48
repvit_m2_3,224,19.97,50.049,1,23.69,4.57,26.21
mobilenetv4_conv_large,384,19.92,50.188,1,32.59,6.43,27.31
mixnet_xxl,224,19.9,50.236,1,23.96,2.04,23.43
efficientnet_b4,320,19.87,50.313,1,19.34,3.13,34.76
cs3sedarknet_xdw,256,19.74,50.637,1,21.6,5.97,17.18
focalnet_tiny_srf,224,19.63,50.908,1,28.43,4.42,16.32
vovnet39a,224,19.45,51.376,1,22.6,7.09,6.73
nest_tiny_jx,224,19.42,51.473,1,17.06,5.83,25.48
tf_efficientnetv2_s,300,19.41,51.505,1,21.46,5.35,22.73
cspdarknet53,256,19.38,51.573,1,27.64,6.57,16.81
crossvit_15_dagger_240,240,19.31,51.749,1,28.21,6.13,20.43
crossvit_small_240,240,19.31,51.758,1,26.86,5.63,18.17
ese_vovnet39b_evos,224,19.31,51.751,1,24.58,7.07,6.74
halonet50ts,256,19.29,51.811,1,22.73,5.3,19.2
resnet50t,288,19.24,51.951,1,25.57,7.14,19.53
efficientvit_l1,224,19.21,52.041,1,52.65,5.27,15.85
resnext50_32x4d,288,19.14,52.223,1,25.03,7.04,23.81
ecaresnet101d_pruned,288,19.12,52.28,1,24.88,5.75,12.71
resnet50d,288,19.02,52.56,1,25.58,7.19,19.7
dla102,224,19.0,52.604,1,33.27,7.19,14.18
hrnet_w18,224,18.91,52.842,1,21.3,4.32,16.31
eca_nfnet_l0,224,18.9,52.886,1,24.14,4.35,10.47
deit3_medium_patch16_224,224,18.81,53.125,1,38.85,8.0,15.93
regnetv_064,224,18.81,53.15,1,30.58,6.39,16.41
resnet51q,256,18.74,53.325,1,35.7,6.38,16.55
levit_conv_512,224,18.66,53.577,1,95.17,5.64,10.22
seresnet50,288,18.63,53.661,1,28.09,6.8,18.39
nf_ecaresnet50,224,18.58,53.793,1,25.56,4.21,11.13
resnext50d_32x4d,288,18.58,53.804,1,25.05,7.44,25.13
regnetx_080,224,18.54,53.896,1,39.57,8.02,14.06
xcit_tiny_24_p16_384,384,18.53,53.945,1,12.12,6.87,34.29
ecaresnetlight,288,18.49,54.067,1,30.16,6.79,13.91
efficientnet_lite4,380,18.46,54.139,1,13.01,4.04,45.66
res2net50_26w_6s,224,18.45,54.179,1,37.05,6.33,15.28
hiera_small_224,224,18.4,54.311,1,35.01,6.42,20.75
nf_seresnet50,224,18.35,54.466,1,28.09,4.21,11.13
efficientnet_el_pruned,300,18.29,54.65,1,10.59,8.0,30.7
mobilenetv4_conv_aa_large,384,18.24,54.793,1,32.59,7.07,32.29
hgnet_small,224,18.18,54.971,1,24.36,8.53,8.79
seresnext50_32x4d,288,18.17,55.012,1,27.56,7.04,23.82
regnetv_040,288,18.16,55.041,1,20.64,6.6,20.3
nfnet_l0,224,18.13,55.121,1,35.07,4.36,10.47
resnet152,160,18.13,55.135,1,60.19,5.9,11.51
tf_efficientnet_el,300,18.09,55.246,1,10.59,8.0,30.7
maxvit_tiny_rw_224,224,18.08,55.285,1,29.06,5.11,33.11
levit_conv_512d,224,18.04,55.4,1,92.5,5.85,11.3
regnetz_d32,256,18.03,55.442,1,27.58,5.98,23.74
efficientnet_el,300,18.01,55.489,1,10.59,8.0,30.7
botnet50ts_256,256,17.92,55.786,1,22.74,5.54,22.23
coat_tiny,224,17.9,55.83,1,5.5,4.35,27.2
convit_small,224,17.82,56.107,1,27.78,5.76,17.87
hgnetv2_b5,224,17.81,56.119,1,39.57,6.56,11.19
focalnet_tiny_lrf,224,17.77,56.251,1,28.65,4.49,17.76
densenet201,224,17.74,56.353,1,20.01,4.34,7.85
gcresnet50t,288,17.53,57.015,1,25.9,6.86,18.57
ecaresnet50d,288,17.4,57.445,1,25.58,7.19,19.72
ecaresnet50t,288,17.4,57.452,1,25.57,7.14,19.55
rexnetr_300,288,17.39,57.482,1,34.81,5.59,36.61
seresnet50t,288,17.39,57.487,1,28.1,7.14,19.55
maxxvitv2_nano_rw_256,256,17.38,57.518,1,23.7,6.26,23.05
rdnet_tiny,224,17.34,57.657,1,23.86,5.06,15.98
resnet101,224,17.34,57.657,1,44.55,7.83,16.23
vit_relpos_medium_patch16_rpn_224,224,17.33,57.668,1,38.73,7.97,17.02
resnet50_gn,288,17.29,57.794,1,25.56,6.85,18.37
resnetrs101,192,17.26,57.911,1,63.62,6.04,12.7
mobilevitv2_200,256,17.22,58.054,1,18.45,7.22,32.15
dpn92,224,17.19,58.161,1,37.67,6.54,18.21
regnety_040_sgn,288,17.19,58.137,1,20.65,6.67,20.3
regnety_080,224,17.19,58.131,1,39.18,8.0,17.97
vit_relpos_medium_patch16_224,224,17.17,58.219,1,38.75,7.97,17.02
vit_medium_patch16_clip_224,224,17.15,58.278,1,38.59,8.0,15.93
resnetv2_101,224,17.14,58.329,1,44.54,7.83,16.23
resnetv2_50,288,17.09,58.478,1,25.55,6.79,18.37
cs3darknet_focus_x,256,17.05,58.614,1,35.02,8.03,10.69
xcit_nano_12_p8_384,384,16.99,58.831,1,3.05,6.34,46.08
fastvit_mci1,256,16.98,58.858,1,21.54,4.72,32.84
convnext_tiny,288,16.97,58.884,1,28.59,7.39,22.21
resnet101c,224,16.95,58.961,1,44.57,8.08,17.04
vit_relpos_medium_patch16_cls_224,224,16.95,58.979,1,38.76,8.03,18.24
resnetv2_101d,224,16.89,59.16,1,44.56,8.07,17.04
darknetaa53,256,16.8,59.481,1,36.02,7.97,12.39
halo2botnet50ts_256,256,16.78,59.557,1,22.64,5.02,21.78
volo_d1_224,224,16.72,59.796,1,26.63,6.94,24.43
resnetaa50,288,16.69,59.883,1,25.56,8.52,19.24
efficientvit_b3,256,16.66,60.01,1,48.65,5.2,35.01
twins_pcpvt_base,224,16.65,60.03,1,43.83,6.68,25.25
resnet61q,256,16.62,60.14,1,36.85,7.8,17.01
resnetblur50,288,16.61,60.191,1,25.56,8.52,19.87
vit_base_resnet26d_224,224,16.58,60.287,1,101.4,6.97,13.16
gcvit_tiny,224,16.52,60.518,1,28.22,4.79,29.82
resnet101d,224,16.51,60.551,1,44.57,8.08,17.04
pvt_v2_b2,224,16.5,60.588,1,25.36,4.05,27.53
cs3darknet_x,256,16.43,60.827,1,35.05,8.38,11.35
ese_vovnet57b,224,16.42,60.873,1,38.61,8.95,7.52
legacy_xception,299,16.38,61.034,1,22.86,8.4,35.83
caformer_s36,224,16.37,61.082,1,39.3,8.0,37.53
resnet152,176,16.36,61.094,1,60.19,7.22,13.99
vit_base_patch32_plus_256,256,16.32,61.244,1,119.48,7.79,7.76
regnety_080_tv,224,16.31,61.303,1,39.38,8.51,19.73
nf_regnet_b4,384,16.3,61.318,1,30.21,4.7,28.61
resnetblur50d,288,16.16,61.857,1,25.58,8.92,21.19
nf_resnet50,256,16.12,62.022,1,25.56,5.46,14.52
resnetaa50d,288,16.12,62.011,1,25.58,8.92,20.57
legacy_seresnet101,224,16.09,62.122,1,49.33,7.61,15.74
vit_relpos_base_patch32_plus_rpn_256,256,16.08,62.159,1,119.42,7.68,8.01
vitamin_small_224,224,16.02,62.397,1,22.03,5.92,26.38
convnextv2_tiny,288,16.0,62.486,1,28.64,7.39,22.21
swin_s3_tiny_224,224,15.94,62.698,1,28.33,4.64,19.13
resnet101_clip_gap,224,15.8,63.277,1,42.52,9.11,17.56
resnext101_32x4d,224,15.77,63.375,1,44.18,8.01,21.23
legacy_seresnext101_32x4d,224,15.62,63.985,1,48.96,8.02,21.26
ecaresnet50t,320,15.61,64.017,1,25.57,8.82,24.13
seresnext101_32x4d,224,15.61,64.046,1,48.96,8.02,21.26
cs3sedarknet_x,256,15.58,64.167,1,35.4,8.38,11.35
seresnetaa50d,288,15.52,64.403,1,28.11,8.92,20.59
resnet51q,288,15.5,64.477,1,35.7,8.07,20.94
nextvit_base,224,15.45,64.681,1,44.82,8.29,23.71
vit_srelpos_medium_patch16_224,224,15.43,64.774,1,38.74,7.96,16.21
vovnet57a,224,15.4,64.912,1,36.64,8.95,7.52
resnet101s,224,15.39,64.967,1,44.67,9.19,18.64
seresnet101,224,15.38,64.992,1,49.33,7.84,16.27
resnetaa101d,224,15.21,65.73,1,44.57,9.12,17.56
ecaresnet101d,224,15.14,66.034,1,44.57,8.08,17.07
mvitv2_small,224,15.14,66.027,1,34.87,7.0,28.08
repvgg_b1g4,224,15.08,66.265,1,39.97,8.15,10.64
resnetblur101d,224,15.07,66.319,1,44.57,9.12,17.94
resmlp_36_224,224,15.04,66.459,1,44.69,8.91,16.33
efficientvit_l2,224,15.01,66.578,1,63.71,6.97,19.58
hrnet_w18_ssld,224,15.01,66.595,1,21.3,4.32,16.31
hieradet_small,256,15.0,66.639,1,34.72,8.51,27.76
regnetz_040_h,320,15.0,66.65,1,28.94,6.43,37.94
hiera_small_abswin_256,256,14.93,66.937,1,34.36,8.29,26.38
regnetz_d8,320,14.89,67.145,1,23.37,6.19,37.08
vit_medium_patch16_gap_240,240,14.88,67.192,1,44.4,9.22,18.81
maxvit_tiny_tf_224,224,14.78,67.612,1,30.92,5.6,35.78
tresnet_v2_l,224,14.74,67.805,1,46.17,8.85,16.34
vit_base_r26_s32_224,224,14.74,67.808,1,101.38,6.81,12.36
fastvit_sa36,256,14.73,67.874,1,31.53,5.64,34.61
res2net101_26w_4s,224,14.73,67.84,1,45.21,8.1,18.45
ese_vovnet39b,288,14.65,68.251,1,24.57,11.71,11.13
tf_efficientnet_b4,380,14.63,68.312,1,19.34,4.49,49.49
efficientnet_b4,384,14.42,69.335,1,19.34,4.51,50.04
res2net101d,224,14.35,69.65,1,45.23,8.35,19.25
dla102x2,224,14.29,69.96,1,41.28,9.34,29.91
regnetz_040,320,14.25,70.144,1,27.12,6.35,37.78
darknet53,256,14.22,70.293,1,41.61,9.31,12.39
resnet101_clip,224,14.2,70.412,1,56.26,9.81,18.08
xcit_tiny_24_p8_224,224,14.19,70.43,1,12.11,9.21,45.39
regnetz_d8_evos,320,14.17,70.558,1,23.46,7.03,38.92
resnetv2_50d_gn,288,14.15,70.641,1,25.57,7.24,19.7
mobilenetv4_hybrid_large,384,14.13,70.77,1,37.76,7.77,34.52
efficientvit_b3,288,14.11,70.869,1,48.65,6.58,44.2
convnextv2_nano,384,14.05,71.163,1,15.62,7.22,24.61
res2net50_26w_8s,224,14.04,71.2,1,48.4,8.37,17.95
darknetaa53,288,14.0,71.413,1,36.02,10.08,15.68
xception41p,299,14.0,71.38,1,26.91,9.25,39.86
selecsls84,224,13.98,71.492,1,50.95,5.9,7.57
crossvit_18_240,240,13.96,71.63,1,43.27,9.05,26.26
nf_resnet50,288,13.95,71.667,1,25.56,6.88,18.37
hrnet_w18_ssld,288,13.94,71.685,1,21.3,7.14,26.96
vit_base_resnet50d_224,224,13.9,71.926,1,110.97,8.73,16.92
resnet101d,256,13.83,72.262,1,44.57,10.55,22.25
convformer_s36,224,13.8,72.438,1,40.01,7.67,30.5
eca_nfnet_l0,288,13.77,72.613,1,24.14,7.12,17.29
crossvit_18_dagger_240,240,13.74,72.779,1,44.27,9.5,27.03
regnety_064,288,13.72,72.855,1,30.58,10.56,27.11
convnext_small,224,13.67,73.118,1,50.22,8.71,21.56
inception_next_small,224,13.67,73.105,1,49.37,8.36,19.27
mvitv2_small_cls,224,13.66,73.202,1,34.87,7.04,28.17
poolformerv2_m36,224,13.66,73.166,1,56.08,8.81,22.02
densenet161,224,13.58,73.622,1,28.68,7.79,11.06
efficientnetv2_s,384,13.56,73.714,1,21.46,8.44,35.77
tf_efficientnetv2_s,384,13.52,73.932,1,21.46,8.44,35.77
nfnet_l0,288,13.49,74.084,1,35.07,7.13,17.29
mobilevitv2_150,384,13.48,74.141,1,10.59,9.2,54.25
coat_mini,224,13.45,74.346,1,10.34,6.82,33.68
convnext_tiny_hnf,288,13.42,74.494,1,28.59,7.39,22.21
vit_medium_patch16_gap_256,256,13.41,74.536,1,38.86,10.59,22.15
swinv2_cr_tiny_224,224,13.37,74.759,1,28.33,4.66,28.45
resnet61q,288,13.36,74.793,1,36.85,9.87,21.52
resnetv2_50d_evos,288,13.35,74.854,1,25.59,7.15,19.7
vit_medium_patch16_reg1_gap_256,256,13.34,74.917,1,38.88,10.63,22.26
hiera_base_224,224,13.32,75.074,1,51.52,9.4,30.42
maxxvit_rmlp_tiny_rw_256,256,13.31,75.078,1,29.64,6.66,39.76
vit_medium_patch16_rope_reg1_gap_256,256,13.29,75.192,1,38.74,10.63,22.26
xception41,299,13.25,75.445,1,26.97,9.28,39.86
efficientnetv2_rw_s,384,13.21,75.671,1,23.94,8.72,38.03
swinv2_cr_tiny_ns_224,224,13.19,75.808,1,28.33,4.66,28.45
cs3darknet_x,288,13.16,75.972,1,35.05,10.6,14.36
vit_medium_patch16_reg4_gap_256,256,13.11,76.222,1,38.88,10.76,22.6
resnetv2_101x1_bit,224,13.02,76.755,1,44.54,8.04,16.23
twins_svt_base,224,12.99,76.97,1,56.07,8.59,26.33
coatnet_rmlp_1_rw_224,224,12.93,77.316,1,41.69,7.85,35.47
convnextv2_small,224,12.84,77.862,1,50.32,8.71,21.56
mobilenetv4_conv_large,448,12.81,78.014,1,32.59,8.75,37.17
cs3sedarknet_x,288,12.68,78.865,1,35.4,10.6,14.37
regnetx_120,224,12.63,79.151,1,46.11,12.13,21.37
xcit_small_24_p16_224,224,12.59,79.418,1,47.67,9.1,23.64
davit_small,224,12.56,79.582,1,49.75,8.8,30.49
poolformer_m36,224,12.5,79.957,1,56.17,8.8,22.02
coatnet_1_rw_224,224,12.42,80.466,1,41.72,8.04,34.6
swin_tiny_patch4_window7_224,224,12.42,80.508,1,28.29,4.51,17.06
coatnet_rmlp_1_rw2_224,224,12.39,80.67,1,41.72,8.11,40.13
hrnet_w30,224,12.38,80.735,1,37.71,8.15,21.21
hrnet_w32,224,12.34,81.003,1,41.23,8.97,22.02
tresnet_l,224,12.28,81.411,1,55.99,10.9,11.9
wide_resnet50_2,176,12.22,81.798,1,68.88,7.29,8.97
resnet152,224,12.12,82.493,1,60.19,11.56,22.56
resnext101_32x8d,176,12.11,82.522,1,88.79,10.33,19.37
regnetv_064,288,12.09,82.675,1,30.58,10.55,27.11
resnet152d,224,12.09,82.714,1,60.21,11.8,23.36
resnet152c,224,12.08,82.742,1,60.21,11.8,23.36
regnety_120,224,12.07,82.847,1,51.82,12.14,21.38
pvt_v2_b3,224,12.06,82.917,1,45.24,6.92,37.7
vit_small_r26_s32_384,384,12.05,82.953,1,36.47,10.43,29.85
darknet53,288,12.01,83.223,1,41.61,11.78,15.68
dla169,224,12.0,83.33,1,53.39,11.6,20.2
nextvit_large,224,11.87,84.205,1,57.87,10.78,28.99
cait_s24_224,224,11.85,84.345,1,46.92,9.35,40.58
efficientvit_l2,256,11.85,84.387,1,63.71,9.09,25.49
hgnet_small,288,11.83,84.498,1,24.36,14.09,14.53
cs3edgenet_x,256,11.82,84.601,1,47.82,11.53,12.92
fastvit_mci2,256,11.77,84.931,1,35.82,7.91,43.34
twins_pcpvt_large,224,11.75,85.04,1,60.99,9.84,35.82
mobilenetv4_conv_aa_large,448,11.69,85.545,1,32.59,9.63,43.94
vit_small_resnet50d_s16_224,224,11.61,86.102,1,57.53,13.48,24.82
fastvit_ma36,256,11.6,86.188,1,44.07,7.88,41.09
efficientformer_l7,224,11.59,86.272,1,82.23,10.17,24.45
regnetz_d32,320,11.54,86.648,1,27.58,9.33,37.08
rdnet_small,224,11.51,86.884,1,50.44,8.74,22.55
legacy_seresnet152,224,11.4,87.709,1,66.82,11.33,22.08
hgnetv2_b5,288,11.33,88.251,1,39.57,10.84,18.5
coatnet_1_224,224,11.32,88.289,1,42.23,8.7,39.0
resnetv2_152d,224,11.31,88.39,1,60.2,11.8,23.36
regnety_080,288,11.26,88.798,1,39.18,13.22,29.69
nest_small_jx,224,11.24,88.941,1,38.35,10.35,40.04
mixer_b16_224,224,11.22,89.103,1,59.88,12.62,14.53
levit_384_s8,224,11.2,89.297,1,39.12,9.98,35.86
resnetv2_152,224,11.2,89.225,1,60.19,11.55,22.56
nf_resnet101,224,11.16,89.569,1,44.55,8.01,16.23
inception_v4,299,11.15,89.619,1,42.68,12.28,15.09
resnet152s,224,11.13,89.808,1,60.32,12.92,24.96
nest_small,224,11.12,89.891,1,38.35,10.35,40.04
resnet101,288,11.12,89.884,1,44.55,12.95,26.83
cs3se_edgenet_x,256,11.11,89.994,1,50.72,11.53,12.94
dpn98,224,11.06,90.407,1,61.57,11.73,25.2
coat_lite_medium,224,11.05,90.497,1,44.57,9.81,40.06
deit3_small_patch16_384,384,11.04,90.541,1,22.21,15.52,50.78
nf_ecaresnet101,224,10.88,91.856,1,44.55,8.01,16.27
nf_seresnet101,224,10.88,91.896,1,49.33,8.02,16.27
seresnet152,224,10.79,92.672,1,66.82,11.57,22.61
convnext_tiny,384,10.74,93.109,1,28.59,13.14,39.48
repvgg_b1,224,10.73,93.194,1,57.42,13.16,10.64
dm_nfnet_f0,192,10.69,93.498,1,71.49,7.21,10.16
sequencer2d_s,224,10.66,93.751,1,27.65,4.96,11.31
nfnet_f0,192,10.56,94.636,1,71.49,7.21,10.16
poolformerv2_m48,224,10.56,94.635,1,73.35,11.59,29.17
levit_conv_384_s8,224,10.52,95.033,1,39.12,9.98,35.86
resnetv2_101,288,10.51,95.101,1,44.54,12.94,26.83
regnetz_e8,256,10.45,95.666,1,57.7,9.91,40.94
nf_regnet_b5,384,10.42,95.969,1,49.74,7.95,42.9
resnest101e,256,10.42,95.966,1,48.28,13.38,28.66
pit_b_distilled_224,224,10.41,95.993,1,74.79,12.5,33.07
mobilevitv2_175,384,10.35,96.588,1,14.25,12.47,63.29
xcit_small_12_p16_384,384,10.35,96.636,1,26.25,14.14,36.51
focalnet_small_srf,224,10.34,96.692,1,49.89,8.62,26.26
inception_resnet_v2,299,10.33,96.814,1,55.84,13.18,25.06
pit_b_224,224,10.33,96.761,1,73.76,12.42,32.94
swinv2_tiny_window8_256,256,10.3,97.01,1,28.35,5.96,24.57
resnext101_32x4d,288,10.25,97.558,1,44.18,13.24,35.09
maxvit_rmlp_small_rw_224,224,10.24,97.618,1,64.9,10.75,49.3
seresnext101_32x4d,288,10.23,97.701,1,48.96,13.25,35.12
gcvit_small,224,10.19,98.115,1,51.09,8.57,41.61
vit_base_patch32_384,384,10.18,98.198,1,88.3,13.06,16.5
mvitv2_base,224,10.16,98.419,1,51.47,10.16,40.5
mobilenetv4_conv_aa_large,480,10.13,98.667,1,32.59,11.05,50.45
hiera_base_plus_224,224,10.1,99.002,1,69.9,12.67,37.98
hiera_base_abswin_256,256,10.09,99.038,1,51.27,12.46,40.7
seresnet101,288,10.09,99.045,1,49.33,12.95,26.87
tnt_b_patch16_224,224,10.09,99.034,1,65.41,14.09,39.01
cs3edgenet_x,288,10.08,99.208,1,47.82,14.59,16.36
vit_base_patch32_clip_384,384,10.07,99.249,1,88.3,13.06,16.5
focalnet_small_lrf,224,9.99,100.025,1,50.34,8.74,28.61
vit_small_patch16_384,384,9.98,100.186,1,22.2,15.52,50.78
mixer_l32_224,224,9.95,100.463,1,206.94,11.27,19.86
convformer_s18,384,9.85,101.499,1,26.77,11.63,46.49
ese_vovnet99b,224,9.85,101.454,1,63.2,16.51,11.27
resnetrs101,288,9.84,101.582,1,63.62,13.56,28.53
convnextv2_tiny,384,9.83,101.749,1,28.64,13.14,39.48
ecaresnet101d,288,9.83,101.717,1,44.57,13.35,28.19
resnet152d,256,9.83,101.661,1,60.21,15.41,30.51
vit_betwixt_patch16_reg1_gap_256,256,9.83,101.705,1,60.4,16.32,27.83
resnet101d,320,9.82,101.832,1,44.57,16.48,34.77
efficientvit_l2,288,9.81,101.948,1,63.71,11.51,32.19
efficientnetv2_m,320,9.79,102.161,1,54.14,11.01,39.97
poolformer_m48,224,9.78,102.197,1,73.47,11.59,29.17
regnetx_160,224,9.78,102.176,1,54.28,15.99,25.52
hrnet_w40,224,9.75,102.563,1,57.56,12.75,25.29
vit_betwixt_patch16_reg4_gap_256,256,9.75,102.537,1,60.4,16.52,28.24
resnetblur101d,288,9.74,102.665,1,44.57,15.07,29.65
vit_betwixt_patch16_rope_reg4_gap_256,256,9.68,103.258,1,60.23,16.52,28.24
resnetaa101d,288,9.65,103.608,1,44.57,15.07,29.03
xception65p,299,9.65,103.549,1,39.82,13.91,52.48
resnet200,224,9.56,104.56,1,64.67,15.07,32.19
deit_base_patch16_224,224,9.46,105.633,1,86.57,17.58,23.9
caformer_s18,384,9.44,105.951,1,26.34,13.42,77.34
beit_base_patch16_224,224,9.41,106.266,1,86.53,17.58,23.9
eca_nfnet_l1,256,9.35,106.973,1,41.41,9.62,22.04
wide_resnet50_2,224,9.35,106.889,1,68.88,11.43,14.4
deit3_base_patch16_224,224,9.3,107.552,1,86.59,17.58,23.9
repvgg_b2g4,224,9.25,108.051,1,61.76,12.63,12.9
beitv2_base_patch16_224,224,9.24,108.256,1,86.53,17.58,23.9
deit_base_distilled_patch16_224,224,9.21,108.526,1,87.34,17.68,24.05
xception65,299,9.21,108.536,1,39.92,13.96,52.48
eva02_small_patch14_336,336,9.11,109.777,1,22.13,15.48,54.33
xcit_tiny_12_p8_384,384,9.1,109.816,1,6.71,14.13,69.14
convnext_base,224,9.09,110.021,1,88.59,15.38,28.75
vit_small_patch16_36x1_224,224,9.09,110.009,1,64.67,13.71,35.69
resnext101_64x4d,224,9.01,110.983,1,83.46,15.52,31.21
vit_small_patch16_18x2_224,224,9.0,111.03,1,64.67,13.71,35.69
coat_small,224,8.98,111.393,1,21.69,12.61,44.25
seresnext101_64x4d,224,8.97,111.422,1,88.23,15.53,31.25
convformer_m36,224,8.95,111.669,1,57.05,12.89,42.05
mobilenetv4_hybrid_large,448,8.95,111.682,1,37.76,10.74,48.61
volo_d2_224,224,8.92,112.137,1,58.68,14.34,41.34
mvitv2_base_cls,224,8.91,112.248,1,65.44,10.23,40.65
tresnet_xl,224,8.91,112.222,1,78.44,15.2,15.34
seresnet152d,256,8.88,112.573,1,66.84,15.42,30.56
pvt_v2_b5,224,8.87,112.77,1,81.96,11.76,50.92
gmlp_b16_224,224,8.85,113.004,1,73.08,15.78,30.21
efficientnetv2_rw_m,320,8.83,113.284,1,53.24,12.72,47.14
maxvit_small_tf_224,224,8.75,114.28,1,68.93,11.66,53.17
convnext_small,288,8.71,114.788,1,50.22,14.39,35.65
mobilenetv4_conv_aa_large,544,8.63,115.877,1,32.59,14.19,64.79
nextvit_small,384,8.63,115.898,1,31.76,17.26,57.14
cait_xxs24_384,384,8.62,115.993,1,12.03,9.63,122.66
seresnext101_32x8d,224,8.62,116.043,1,93.57,16.48,31.25
eva02_base_patch16_clip_224,224,8.6,116.214,1,86.26,17.62,26.32
vit_base_patch16_rpn_224,224,8.56,116.754,1,86.54,17.49,23.75
resnetrs152,256,8.55,116.946,1,86.62,15.59,30.83
vit_base_patch16_xp_224,224,8.52,117.358,1,86.51,17.56,23.9
seresnext101d_32x8d,224,8.51,117.483,1,93.59,16.72,32.05
resnext101_32x8d,224,8.5,117.633,1,88.79,16.48,31.21
efficientnet_b5,416,8.49,117.752,1,30.39,8.27,80.68
vit_base_mci_224,224,8.47,118.081,1,86.35,17.73,24.65
caformer_m36,224,8.45,118.319,1,56.2,13.29,50.48
seresnextaa101d_32x8d,224,8.35,119.799,1,93.59,17.25,34.16
vit_relpos_base_patch16_224,224,8.34,119.824,1,86.43,17.51,24.97
vit_base_patch16_224,224,8.33,120.013,1,86.57,17.58,23.9
vit_base_patch16_siglip_224,224,8.33,120.05,1,92.88,17.73,24.06
vit_base_patch16_siglip_gap_224,224,8.33,120.095,1,85.8,17.49,23.75
vit_base_patch16_clip_quickgelu_224,224,8.32,120.215,1,86.19,17.58,23.9
vit_base_patch16_224_miil,224,8.31,120.296,1,94.4,17.59,23.91
vit_base_patch16_gap_224,224,8.29,120.54,1,86.57,17.49,25.59
regnety_160,224,8.28,120.713,1,83.59,15.96,23.04
vit_base_patch16_clip_224,224,8.28,120.79,1,86.57,17.58,23.9
vit_relpos_base_patch16_rpn_224,224,8.28,120.749,1,86.41,17.51,24.97
vit_mediumd_patch16_reg4_gap_256,256,8.27,120.819,1,64.11,17.87,37.57
halonet_h1,256,8.25,121.167,1,8.1,3.0,51.17
vit_mediumd_patch16_rope_reg1_gap_256,256,8.24,121.316,1,63.95,17.65,37.02
maxvit_rmlp_small_rw_256,256,8.16,122.576,1,64.9,14.15,66.09
vit_relpos_base_patch16_cls_224,224,8.14,122.798,1,86.43,17.6,25.12
vit_base_patch32_clip_448,448,8.12,123.199,1,88.34,17.93,23.9
pvt_v2_b4,224,8.09,123.551,1,62.56,10.14,53.74
vit_relpos_base_patch16_clsgap_224,224,8.08,123.687,1,86.43,17.6,25.12
cs3se_edgenet_x,320,8.05,124.251,1,50.72,18.01,20.21
davit_base,224,8.04,124.352,1,87.95,15.51,40.66
sequencer2d_m,224,8.04,124.384,1,38.31,6.55,14.26
swinv2_tiny_window16_256,256,8.03,124.542,1,28.35,6.68,39.02
hrnet_w44,224,8.02,124.58,1,67.06,14.94,26.92
resnet152,288,8.01,124.879,1,60.19,19.11,37.28
twins_svt_large,224,7.98,125.271,1,99.27,15.15,35.1
dm_nfnet_f0,256,7.95,125.785,1,71.49,12.62,18.05
xcit_small_12_p8_224,224,7.94,125.872,1,26.21,18.69,47.21
convmixer_768_32,224,7.92,126.272,1,21.11,19.55,25.95
hrnet_w48_ssld,224,7.9,126.53,1,77.47,17.34,28.56
nfnet_f0,256,7.86,127.261,1,71.49,12.62,18.05
mobilevitv2_200,384,7.84,127.58,1,18.45,16.24,72.34
regnety_120,288,7.81,128.044,1,51.82,20.06,35.34
hgnetv2_b6,224,7.79,128.275,1,75.26,16.88,21.23
dpn131,224,7.77,128.613,1,79.25,16.09,32.97
nf_regnet_b5,456,7.75,129.064,1,49.74,11.7,61.95
hrnet_w48,224,7.7,129.858,1,77.47,17.34,28.56
xception71,299,7.68,130.193,1,42.34,18.09,69.92
resnet200d,256,7.67,130.432,1,64.69,20.0,43.09
flexivit_base,240,7.58,131.82,1,86.59,20.29,28.36
efficientnet_b5,448,7.54,132.62,1,30.39,9.59,93.56
xcit_medium_24_p16_224,224,7.5,133.298,1,84.4,16.13,31.71
resnet50x4_clip_gap,288,7.49,133.398,1,65.62,19.57,34.11
densenet264d,224,7.46,134.027,1,72.74,13.57,14.0
convnextv2_base,224,7.45,134.283,1,88.72,15.38,28.75
nest_base,224,7.42,134.753,1,67.72,17.96,53.39
maxxvit_rmlp_small_rw_256,256,7.37,135.578,1,66.01,14.67,58.38
convnext_base,256,7.35,135.957,1,88.59,20.09,37.55
gcvit_base,224,7.34,136.128,1,90.32,14.87,55.48
nest_base_jx,224,7.31,136.815,1,67.72,17.96,53.39
tf_efficientnetv2_m,384,7.3,136.891,1,54.14,15.85,57.52
regnetz_e8,320,7.24,138.164,1,57.7,15.46,63.94
rdnet_base,224,7.19,139.147,1,87.45,15.4,31.14
eva02_base_patch14_224,224,7.12,140.454,1,85.76,23.22,36.55
swin_s3_small_224,224,7.11,140.533,1,49.74,9.43,37.84
vit_large_patch32_224,224,7.1,140.777,1,305.51,15.39,13.3
eca_nfnet_l1,320,7.09,141.072,1,41.41,14.92,34.42
seresnet152,288,7.09,140.934,1,66.82,19.11,37.34
samvit_base_patch16_224,224,7.04,141.973,1,86.46,17.54,24.54
convit_base,224,7.0,142.918,1,86.54,17.52,31.77
inception_next_base,224,6.95,143.896,1,86.67,14.85,25.69
tf_efficientnet_b5,456,6.95,143.755,1,30.39,10.46,98.86
tiny_vit_21m_384,384,6.93,144.336,1,21.23,13.77,77.83
coatnet_2_rw_224,224,6.91,144.724,1,73.87,15.09,49.22
resnetv2_50x1_bit,448,6.91,144.669,1,25.55,16.62,44.46
seresnet200d,256,6.88,145.349,1,71.86,20.01,43.15
crossvit_15_dagger_408,408,6.87,145.643,1,28.5,21.45,95.05
resnet152d,320,6.83,146.477,1,60.21,24.08,47.67
swin_s3_base_224,224,6.79,147.184,1,71.13,13.69,48.26
tresnet_m,448,6.77,147.771,1,31.39,22.99,29.21
dpn107,224,6.76,147.81,1,86.92,18.38,33.46
resnet50x4_clip,288,6.73,148.587,1,87.14,21.35,35.27
resnetrs200,256,6.73,148.585,1,93.21,20.18,43.42
swinv2_base_window12_192,192,6.73,148.54,1,109.28,11.9,39.72
vit_base_r50_s16_224,224,6.73,148.472,1,97.89,21.66,35.28
ecaresnet200d,256,6.71,148.953,1,64.69,20.0,43.15
wide_resnet101_2,176,6.66,150.227,1,126.89,14.31,13.18
coatnet_rmlp_2_rw_224,224,6.64,150.497,1,73.88,15.18,54.78
repvgg_b3g4,224,6.64,150.669,1,83.83,17.89,15.1
swinv2_cr_small_ns_224,224,6.64,150.577,1,49.7,9.08,50.27
hgnet_base,224,6.62,150.974,1,71.58,25.14,15.47
vit_base_patch16_siglip_256,256,6.61,151.197,1,92.93,23.44,33.63
wide_resnet50_2,288,6.61,151.365,1,68.88,18.89,23.81
vgg11,224,6.59,151.695,1,132.86,7.61,7.44
vit_base_patch16_rope_reg1_gap_256,256,6.59,151.642,1,86.43,23.22,33.39
vgg11_bn,224,6.56,152.446,1,132.87,7.62,7.44
swinv2_cr_small_224,224,6.53,153.224,1,49.7,9.07,50.27
vit_base_patch16_siglip_gap_256,256,6.52,153.278,1,85.84,23.13,33.23
vit_base_patch16_reg4_gap_256,256,6.5,153.776,1,86.62,23.5,33.89
vit_small_patch8_224,224,6.49,153.965,1,21.67,22.44,80.84
repvgg_b2,224,6.48,154.38,1,89.02,20.45,12.9
focalnet_base_srf,224,6.46,154.81,1,88.15,15.28,35.01
efficientvit_l2,384,6.45,155.065,1,63.71,20.45,57.01
resnet200,288,6.45,155.123,1,64.67,24.91,53.21
crossvit_base_240,240,6.4,156.314,1,105.03,21.22,36.33
volo_d3_224,224,6.31,158.554,1,86.33,20.78,60.09
levit_512_s8,224,6.23,160.379,1,74.05,21.82,52.28
seresnet152d,320,6.23,160.608,1,66.84,24.09,47.72
coatnet_2_224,224,6.2,161.346,1,74.68,16.5,52.67
convnext_base,288,6.15,162.453,1,88.59,25.43,47.53
efficientnetv2_m,416,6.15,162.448,1,54.14,18.6,67.5
volo_d1_384,384,6.12,163.334,1,26.78,22.75,108.55
resnetrs152,320,6.1,163.792,1,86.62,24.34,48.14
swin_small_patch4_window7_224,224,6.07,164.677,1,49.61,8.77,27.47
nextvit_base,384,6.06,164.953,1,44.82,24.64,73.95
focalnet_base_lrf,224,5.99,167.024,1,88.75,15.43,38.13
caformer_b36,224,5.93,168.58,1,98.75,23.22,67.3
resnext101_64x4d,288,5.86,170.685,1,83.46,25.66,51.59
cait_xxs36_384,384,5.85,171.01,1,17.37,14.35,183.7
vit_medium_patch16_gap_384,384,5.79,172.541,1,39.03,26.08,67.54
levit_conv_512_s8,224,5.76,173.7,1,74.05,21.82,52.28
vgg13_bn,224,5.76,173.557,1,133.05,11.33,12.25
vitamin_base_224,224,5.76,173.46,1,87.72,22.68,52.77
seresnext101_32x8d,288,5.75,173.901,1,93.57,27.24,51.63
vgg13,224,5.75,173.979,1,133.05,11.31,12.25
convnext_small,384,5.72,174.665,1,50.22,25.58,63.37
legacy_senet154,224,5.72,174.756,1,115.09,20.77,38.69
convformer_s36,384,5.69,175.734,1,40.01,22.54,89.62
efficientnetv2_rw_m,416,5.66,176.792,1,53.24,21.49,79.62
vit_base_patch16_plus_240,240,5.64,177.413,1,117.56,27.41,33.08
xcit_small_24_p16_384,384,5.63,177.511,1,47.67,26.72,68.58
seresnext101d_32x8d,288,5.6,178.577,1,93.59,27.64,52.95
seresnet200d,288,5.59,178.979,1,71.86,25.32,54.6
vit_large_r50_s32_224,224,5.59,178.873,1,328.99,19.58,24.41
senet154,224,5.58,179.08,1,115.09,20.77,38.69
seresnextaa101d_32x8d,288,5.58,179.137,1,93.59,28.51,56.44
vit_relpos_base_patch16_plus_240,240,5.55,180.097,1,117.38,27.3,34.33
ecaresnet200d,288,5.53,180.897,1,64.69,25.31,54.59
regnety_160,288,5.52,180.975,1,83.59,26.37,38.07
sequencer2d_l,224,5.49,182.132,1,54.3,9.74,22.12
caformer_s36,384,5.43,184.228,1,39.3,26.08,150.33
hrnet_w48_ssld,288,5.38,186.017,1,77.47,28.66,47.21
hgnetv2_b6,288,5.37,186.229,1,75.26,27.9,35.09
resnet200d,320,5.33,187.619,1,64.69,31.25,67.33
wide_resnet101_2,224,5.22,191.557,1,126.89,22.8,21.23
xcit_tiny_24_p8_384,384,5.16,193.796,1,12.11,27.05,132.95
eca_nfnet_l2,320,5.15,194.064,1,56.72,20.95,47.43
maxvit_tiny_tf_384,384,5.1,196.11,1,30.98,17.53,123.42
swinv2_small_window16_256,256,5.1,196.241,1,49.73,12.82,66.29
vgg16,224,5.08,196.881,1,138.36,15.47,13.56
vgg16_bn,224,5.05,198.104,1,138.37,15.5,13.56
swinv2_small_window8_256,256,5.04,198.246,1,49.73,11.58,40.14
nfnet_f1,224,5.02,199.032,1,132.63,17.87,22.94
seresnet269d,256,5.02,199.306,1,113.67,26.59,53.6
regnetx_320,224,5.0,199.835,1,107.81,31.81,36.3
resnetrs270,256,4.99,200.478,1,129.86,27.06,55.84
convnextv2_base,288,4.98,200.977,1,88.72,25.43,47.53
swinv2_cr_small_ns_256,256,4.98,200.886,1,49.7,12.07,76.21
dm_nfnet_f1,224,4.96,201.546,1,132.63,17.87,22.94
convformer_b36,224,4.95,201.817,1,99.88,22.69,56.06
convnext_base,320,4.95,201.819,1,88.59,31.39,58.68
tf_efficientnetv2_m,480,4.89,204.622,1,54.14,24.76,89.84
hrnet_w64,224,4.87,205.177,1,128.06,28.97,35.09
cait_xs24_384,384,4.86,205.554,1,26.67,19.28,183.98
nextvit_large,384,4.84,206.508,1,57.87,32.03,90.76
resnetrs200,320,4.81,207.813,1,93.21,31.51,67.81
maxvit_rmlp_base_rw_224,224,4.76,210.09,1,116.14,23.15,92.64
crossvit_18_dagger_408,408,4.66,214.577,1,44.61,32.47,124.87
nasnetalarge,331,4.66,214.708,1,88.75,23.89,90.56
swinv2_cr_base_224,224,4.64,215.595,1,87.88,15.86,59.66
swinv2_cr_base_ns_224,224,4.62,216.593,1,87.88,15.86,59.66
maxxvitv2_rmlp_base_rw_224,224,4.57,218.631,1,116.09,24.2,62.77
vgg19,224,4.57,218.781,1,143.67,19.63,14.86
vit_so150m_patch16_reg4_gap_256,256,4.54,220.434,1,134.13,36.75,53.21
maxvit_base_tf_224,224,4.51,221.617,1,119.47,24.04,95.01
vgg19_bn,224,4.51,221.568,1,143.68,19.66,14.86
seresnextaa101d_32x8d,320,4.48,222.957,1,93.59,35.19,69.67
resnest200e,320,4.45,224.812,1,70.2,35.69,82.78
vit_so150m_patch16_reg4_map_256,256,4.44,225.038,1,141.48,37.18,53.68
convnext_large,224,4.34,230.221,1,197.77,34.4,43.13
pnasnet5large,331,4.33,231.035,1,86.06,25.04,92.89
repvgg_b3,224,4.33,230.866,1,123.09,29.16,15.1
xcit_small_24_p8_224,224,4.32,231.329,1,47.63,35.81,90.78
resnetv2_101x1_bit,448,4.3,232.409,1,44.54,31.65,64.93
coat_lite_medium_384,384,4.23,236.111,1,44.57,28.73,116.7
convnextv2_large,224,4.19,238.786,1,197.96,34.4,43.13
vit_betwixt_patch16_reg4_gap_384,384,4.19,238.533,1,60.6,39.71,85.28
seresnet269d,288,4.18,239.28,1,113.67,33.65,67.81
hgnet_base,288,4.16,240.305,1,71.58,41.55,25.57
swin_base_patch4_window7_224,224,4.15,240.831,1,87.77,15.47,36.63
davit_large,224,4.13,241.977,1,196.81,34.6,60.99
efficientvit_l3,224,3.98,251.253,1,246.04,27.62,39.16
regnety_320,224,3.93,254.497,1,145.05,32.34,30.26
xcit_large_24_p16_224,224,3.92,254.84,1,189.1,35.86,47.27
tf_efficientnet_b6,528,3.91,255.971,1,43.04,19.4,167.39
efficientnet_b6,528,3.87,258.445,1,43.04,19.4,167.39
eca_nfnet_l2,384,3.83,260.863,1,56.72,30.05,68.28
swinv2_base_window12to16_192to256,256,3.83,260.995,1,87.92,22.02,84.71
tresnet_l,448,3.79,263.846,1,55.99,43.59,47.56
swinv2_large_window12_192,192,3.75,266.366,1,228.77,26.17,56.53
swinv2_base_window16_256,256,3.74,267.172,1,87.92,22.02,84.71
tf_efficientnetv2_l,384,3.57,279.821,1,118.52,36.1,101.16
convnext_base,384,3.56,280.744,1,88.59,45.21,84.49
ecaresnet269d,320,3.55,281.653,1,102.09,41.53,83.69
swinv2_cr_tiny_384,384,3.54,282.629,1,28.33,15.34,161.01
inception_next_base,384,3.52,284.303,1,86.67,43.64,75.48
vit_mediumd_patch16_reg4_gap_384,384,3.51,284.717,1,64.27,43.67,113.51
swinv2_base_window8_256,256,3.5,285.642,1,87.92,20.37,52.59
efficientnetv2_l,384,3.49,286.334,1,118.52,36.1,101.16
hiera_large_224,224,3.47,288.334,1,213.74,40.34,83.37
convformer_m36,384,3.46,289.231,1,57.05,37.87,123.56
eca_nfnet_l3,352,3.46,289.136,1,72.04,32.57,73.12
deit3_base_patch16_384,384,3.43,291.108,1,86.88,55.54,101.56
deit_base_patch16_384,384,3.41,293.52,1,86.86,55.54,101.56
deit_base_distilled_patch16_384,384,3.38,295.425,1,87.63,55.65,101.82
cait_s24_384,384,3.35,298.48,1,47.06,32.17,245.31
mixer_l16_224,224,3.34,299.523,1,208.2,44.6,41.69
coatnet_rmlp_3_rw_224,224,3.31,302.243,1,165.15,33.56,79.47
convnext_large_mlp,256,3.29,304.086,1,200.13,44.94,56.33
regnety_160,384,3.29,303.803,1,83.59,46.87,67.67
coatnet_3_rw_224,224,3.27,305.713,1,181.81,33.44,73.83
resnetrs350,288,3.27,306.236,1,163.96,43.67,87.09
dm_nfnet_f1,320,3.26,307.082,1,132.63,35.97,46.77
efficientvit_l3,256,3.26,306.891,1,246.04,36.06,50.98
convmixer_1536_20,224,3.25,307.72,1,51.63,48.68,33.03
volo_d4_224,224,3.25,307.319,1,192.96,44.34,80.22
rdnet_large,224,3.22,310.919,1,186.27,34.74,46.67
vit_small_patch14_dinov2,518,3.21,311.039,1,22.06,46.76,198.79
nfnet_f1,320,3.19,313.353,1,132.63,35.97,46.77
beit_base_patch16_384,384,3.18,314.371,1,86.74,55.54,101.56
vit_small_patch14_reg4_dinov2,518,3.15,316.948,1,22.06,46.95,199.77
coatnet_3_224,224,3.12,320.7,1,166.97,36.56,79.01
xcit_medium_24_p16_384,384,3.09,324.036,1,84.4,47.39,91.64
caformer_m36,384,3.08,324.221,1,56.2,42.11,196.35
resnetrs270,352,3.03,329.649,1,129.86,51.13,105.48
maxvit_small_tf_384,384,3.0,332.88,1,69.02,35.87,183.65
volo_d2_384,384,3.0,333.546,1,58.87,46.17,184.51
resnext101_32x16d,224,2.99,334.318,1,194.03,36.27,51.18
dm_nfnet_f2,256,2.97,336.324,1,193.78,33.76,41.85
vit_base_patch16_384,384,2.97,337.009,1,86.86,55.54,101.56
mvitv2_large,224,2.95,338.418,1,217.99,43.87,112.02
vit_base_patch16_siglip_gap_384,384,2.95,339.098,1,86.09,55.43,101.3
nfnet_f2,256,2.94,340.191,1,193.78,33.76,41.85
vit_base_patch16_siglip_384,384,2.94,339.662,1,93.18,56.12,102.2
vit_base_patch16_clip_384,384,2.92,342.185,1,86.86,55.54,101.56
maxxvitv2_rmlp_large_rw_224,224,2.91,344.02,1,215.42,44.14,87.15
tiny_vit_21m_512,512,2.91,343.403,1,21.27,27.02,177.93
ecaresnet269d,352,2.87,347.846,1,102.09,50.25,101.25
convnextv2_base,384,2.86,349.626,1,88.72,45.21,84.49
xcit_small_12_p8_384,384,2.81,356.188,1,26.21,54.92,138.29
convnext_large,288,2.8,357.134,1,197.77,56.87,71.29
convnextv2_large,288,2.79,358.749,1,197.96,56.87,71.29
vit_base_patch16_18x2_224,224,2.78,359.751,1,256.73,52.51,71.38
mvitv2_large_cls,224,2.76,362.694,1,234.58,42.17,111.69
beit_large_patch16_224,224,2.75,364.218,1,304.43,61.6,63.52
tresnet_xl,448,2.73,366.436,1,78.44,60.77,61.31
deit3_large_patch16_224,224,2.7,370.995,1,304.37,61.6,63.52
vit_large_patch32_384,384,2.7,369.742,1,306.63,45.31,43.86
beitv2_large_patch16_224,224,2.69,372.287,1,304.43,61.6,63.52
coatnet_rmlp_2_rw_384,384,2.64,379.078,1,73.88,47.69,209.43
maxvit_tiny_tf_512,512,2.59,386.591,1,31.05,33.49,257.59
efficientvit_l3,320,2.57,389.302,1,246.04,56.32,79.34
maxvit_large_tf_224,224,2.56,390.951,1,211.79,43.68,127.35
swinv2_cr_large_224,224,2.52,397.562,1,196.68,35.1,78.42
swin_large_patch4_window7_224,224,2.47,404.245,1,196.53,34.53,54.94
resnetrs420,320,2.41,415.274,1,191.89,64.2,126.56
xcit_medium_24_p8_224,224,2.4,417.212,1,84.32,63.53,121.23
vit_base_r50_s16_384,384,2.39,417.549,1,98.95,67.43,135.03
resnet50x16_clip_gap,384,2.37,422.331,1,136.2,70.32,100.64
tf_efficientnetv2_l,480,2.37,421.363,1,118.52,56.4,157.99
convnext_xlarge,224,2.35,425.759,1,350.2,60.98,57.5
efficientnetv2_xl,384,2.35,425.352,1,208.12,52.81,139.2
davit_huge,224,2.34,426.69,1,348.92,61.23,81.32
tf_efficientnetv2_xl,384,2.34,427.212,1,208.12,52.81,139.2
efficientnetv2_l,480,2.31,432.762,1,118.52,56.4,157.99
resnetv2_50x3_bit,224,2.31,433.391,1,217.32,37.06,33.34
cait_s36_384,384,2.3,433.947,1,68.37,47.99,367.4
eca_nfnet_l3,448,2.29,436.231,1,72.04,52.55,118.4
seresnextaa201d_32x8d,320,2.28,437.688,1,149.39,70.22,138.71
vit_large_patch16_224,224,2.26,441.632,1,304.33,61.6,63.52
eva_large_patch14_196,196,2.23,448.812,1,304.14,61.57,63.52
convnext_large_mlp,320,2.19,456.263,1,200.13,70.21,88.02
repvgg_d2se,320,2.17,461.059,1,133.33,74.57,46.82
resnet50x16_clip,384,2.17,461.201,1,167.33,74.9,103.54
vit_large_r50_s32_384,384,2.17,461.7,1,329.09,57.43,76.52
convformer_b36,384,2.16,462.452,1,99.88,66.67,164.75
flexivit_large,240,2.15,465.028,1,304.36,70.99,75.39
tf_efficientnet_b7,600,2.15,465.8,1,66.35,38.33,289.94
swinv2_large_window12to16_192to256,256,2.12,471.827,1,196.74,47.81,121.53
vit_base_patch8_224,224,2.11,475.013,1,86.58,78.22,161.69
efficientnet_b7,600,2.09,478.281,1,66.35,38.33,289.94
caformer_b36,384,2.05,488.404,1,98.75,72.33,261.79
resnest269e,416,2.03,492.91,1,110.93,77.69,171.98
resnetrs350,384,2.03,492.902,1,163.96,77.59,154.74
resnetv2_152x2_bit,224,2.01,496.395,1,236.34,46.95,45.11
regnety_640,224,2.0,500.583,1,281.38,64.16,42.5
volo_d5_224,224,1.96,508.876,1,295.46,72.4,118.11
nfnet_f2,352,1.94,514.863,1,193.78,63.22,79.06
dm_nfnet_f2,352,1.92,521.607,1,193.78,63.22,79.06
efficientvit_l3,384,1.9,526.613,1,246.04,81.08,114.02
coatnet_4_224,224,1.84,544.382,1,275.43,62.48,129.26
resmlp_big_24_224,224,1.83,545.885,1,129.14,100.23,87.31
vit_large_patch14_xp_224,224,1.82,549.68,1,304.06,81.01,88.79
vit_large_patch14_clip_224,224,1.8,556.186,1,304.2,81.08,88.79
vit_large_patch14_clip_quickgelu_224,224,1.8,555.306,1,303.97,81.08,88.79
vit_large_patch16_siglip_gap_256,256,1.78,560.426,1,303.36,80.8,88.34
vit_large_patch14_224,224,1.77,564.22,1,304.2,81.08,88.79
vit_large_patch16_siglip_256,256,1.76,569.531,1,315.96,81.34,88.88
maxxvitv2_rmlp_base_rw_384,384,1.75,571.868,1,116.09,72.98,213.74
swinv2_cr_small_384,384,1.74,576.224,1,49.7,29.7,298.03
eva02_large_patch14_clip_224,224,1.73,579.213,1,304.11,81.18,97.2
vitamin_large2_224,224,1.72,580.708,1,333.58,75.05,112.83
eva02_large_patch14_224,224,1.71,585.819,1,303.27,81.15,97.2
nfnet_f3,320,1.71,584.444,1,254.92,68.77,83.93
dm_nfnet_f3,320,1.69,592.094,1,254.92,68.77,83.93
vitamin_large_224,224,1.67,597.716,1,333.32,75.05,112.83
convnext_large,384,1.64,610.931,1,197.77,101.1,126.74
regnety_320,384,1.62,615.677,1,145.05,95.0,88.87
convnextv2_large,384,1.61,621.538,1,197.96,101.1,126.74
eva02_base_patch14_448,448,1.61,622.76,1,87.12,107.11,259.14
seresnextaa201d_32x8d,384,1.59,626.967,1,149.39,101.11,199.72
convnext_large_mlp,384,1.56,642.339,1,200.13,101.11,126.74
xcit_large_24_p16_384,384,1.55,645.297,1,189.1,105.35,137.17
maxvit_base_tf_384,384,1.52,656.799,1,119.65,73.8,332.9
maxvit_small_tf_512,512,1.52,658.029,1,69.13,67.26,383.77
vit_so400m_patch14_siglip_224,224,1.52,656.824,1,427.68,110.26,106.73
convnext_xlarge,288,1.51,662.437,1,350.2,100.8,95.05
swin_base_patch4_window12_384,384,1.5,667.292,1,87.9,47.19,134.78
vit_base_patch16_siglip_512,512,1.5,667.76,1,93.52,108.22,247.74
vit_base_patch16_siglip_gap_512,512,1.48,674.572,1,86.43,107.0,246.15
xcit_small_24_p8_384,384,1.48,673.402,1,47.63,105.24,265.91
resnetrs420,416,1.45,689.205,1,191.89,108.45,213.79
vit_so400m_patch14_siglip_gap_224,224,1.45,688.541,1,412.44,109.57,106.13
volo_d3_448,448,1.43,697.962,1,86.63,96.33,446.83
sam2_hiera_tiny,896,1.37,731.987,1,26.85,99.86,384.63
tf_efficientnetv2_xl,512,1.37,730.895,1,208.12,93.85,247.32
efficientnetv2_xl,512,1.35,739.886,1,208.12,93.85,247.32
swinv2_cr_base_384,384,1.35,738.658,1,87.88,50.57,333.68
vitamin_large2_256,256,1.34,744.299,1,333.64,99.0,154.99
maxvit_rmlp_base_rw_384,384,1.33,749.061,1,116.14,70.97,318.95
vitamin_large_256,256,1.33,751.941,1,333.38,99.0,154.99
swinv2_base_window12to24_192to384,384,1.3,766.277,1,87.92,55.25,280.36
efficientnet_b8,672,1.27,785.04,1,87.41,63.48,442.89
tf_efficientnet_b8,672,1.27,790.305,1,87.41,63.48,442.89
convnextv2_huge,224,1.26,791.531,1,660.29,115.0,79.07
rdnet_large,384,1.25,800.743,1,186.27,102.09,137.13
resnetv2_101x3_bit,224,1.25,800.082,1,387.93,71.23,48.7
maxvit_xlarge_tf_224,224,1.24,808.144,1,506.99,97.52,191.04
resnext101_32x32d,224,1.19,839.906,1,468.53,87.29,91.12
xcit_large_24_p8_224,224,1.16,863.559,1,188.93,141.23,181.56
focalnet_large_fl3,384,1.15,865.874,1,239.13,105.06,168.04
focalnet_large_fl4,384,1.14,875.284,1,239.32,105.2,181.78
deit3_huge_patch14_224,224,1.13,882.197,1,632.13,167.4,139.41
hiera_huge_224,224,1.12,894.408,1,672.78,124.85,150.95
vitamin_xlarge_256,256,1.11,900.056,1,436.06,130.13,177.37
dm_nfnet_f3,416,1.1,905.365,1,254.92,115.58,141.78
nfnet_f3,416,1.1,906.772,1,254.92,115.58,141.78
sam2_hiera_small,896,1.09,917.068,1,33.95,123.99,442.63
vit_base_patch14_dinov2,518,1.05,950.436,1,86.58,151.71,397.58
mvitv2_huge_cls,224,1.04,961.324,1,694.8,120.67,243.63
swinv2_cr_huge_224,224,1.03,974.869,1,657.83,115.97,121.08
vit_base_patch14_reg4_dinov2,518,1.03,974.729,1,86.58,152.25,399.53
dm_nfnet_f4,384,1.02,983.149,1,316.07,122.14,147.57
nfnet_f4,384,1.02,980.681,1,316.07,122.14,147.57
deit3_large_patch16_384,384,0.99,1013.815,1,304.76,191.21,270.24
regnety_1280,224,0.99,1007.166,1,644.81,127.66,71.58
resnetv2_152x2_bit,384,0.97,1026.846,1,236.34,136.16,132.56
beit_large_patch16_384,384,0.96,1039.846,1,305.0,191.21,270.24
focalnet_huge_fl3,224,0.95,1048.054,1,745.28,118.26,104.8
focalnet_huge_fl4,224,0.93,1073.843,1,686.46,118.9,113.34
vit_huge_patch14_clip_quickgelu_224,224,0.93,1078.292,1,632.08,167.4,139.41
vit_huge_patch14_gap_224,224,0.93,1077.981,1,630.76,166.73,138.74
vit_huge_patch14_xp_224,224,0.93,1077.577,1,631.8,167.3,139.41
vit_huge_patch14_224,224,0.92,1088.516,1,630.76,167.4,139.41
vit_huge_patch14_clip_224,224,0.92,1086.013,1,632.05,167.4,139.41
maxvit_large_tf_384,384,0.88,1132.022,1,212.03,132.55,445.84
resnetv2_50x3_bit,448,0.87,1144.567,1,217.32,145.7,133.37
swin_large_patch4_window12_384,384,0.87,1149.611,1,196.74,104.08,202.16
davit_giant,224,0.85,1172.447,1,1406.47,192.92,153.06
convnext_xlarge,384,0.83,1200.268,1,350.2,179.2,168.99
regnety_640,384,0.82,1218.504,1,281.38,188.47,124.83
davit_base_fl,768,0.81,1231.237,1,90.37,190.32,530.15
eva02_large_patch14_clip_336,336,0.81,1234.141,1,304.43,191.34,289.13
swinv2_cr_large_384,384,0.81,1234.754,1,196.68,108.96,404.96
vit_large_patch14_clip_quickgelu_336,336,0.81,1231.07,1,304.29,191.11,270.24
vit_large_patch16_384,384,0.81,1238.91,1,304.72,191.21,270.24
vitamin_large2_336,336,0.81,1231.074,1,333.83,175.72,307.47
xcit_medium_24_p8_384,384,0.81,1235.266,1,84.32,186.67,354.73
vit_large_patch16_siglip_gap_384,384,0.8,1247.934,1,303.69,190.85,269.55
vitamin_large_336,336,0.8,1247.895,1,333.57,175.72,307.47
coatnet_5_224,224,0.79,1268.134,1,687.47,145.49,194.24
eva_large_patch14_336,336,0.79,1259.34,1,304.53,191.1,270.24
vit_large_patch14_clip_336,336,0.79,1262.838,1,304.53,191.11,270.24
vit_large_patch16_siglip_384,384,0.79,1261.685,1,316.28,192.07,270.75
convnextv2_huge,288,0.78,1279.004,1,660.29,190.1,130.7
maxvit_base_tf_512,512,0.78,1281.906,1,119.88,138.02,703.99
cait_m36_384,384,0.77,1299.355,1,271.22,173.11,734.81
nfnet_f5,416,0.77,1305.878,1,377.21,170.71,204.56
vit_giant_patch16_gap_224,224,0.76,1314.372,1,1011.37,202.46,139.26
volo_d4_448,448,0.76,1308.242,1,193.41,197.13,527.35
convnext_xxlarge,256,0.75,1335.83,1,846.47,198.09,124.45
dm_nfnet_f5,416,0.75,1338.347,1,377.21,170.71,204.56
swinv2_large_window12to24_192to384,384,0.72,1379.956,1,196.74,116.15,407.83
resnetv2_152x2_bit,448,0.71,1412.665,1,236.34,184.99,180.43
focalnet_xlarge_fl3,384,0.67,1482.114,1,408.79,185.61,223.99
focalnet_xlarge_fl4,384,0.65,1538.866,1,409.03,185.79,242.31
vitamin_xlarge_336,336,0.65,1535.951,1,436.06,230.18,347.33
dm_nfnet_f4,512,0.63,1582.68,1,316.07,216.26,262.26
nfnet_f4,512,0.63,1585.327,1,316.07,216.26,262.26
sam2_hiera_base_plus,896,0.63,1575.739,1,68.68,227.48,828.88
vit_giant_patch14_224,224,0.62,1617.497,1,1012.61,267.18,192.64
vitamin_large_384,384,0.61,1650.577,1,333.71,234.44,440.16
eva_giant_patch14_224,224,0.6,1653.439,1,1012.56,267.18,192.64
tf_efficientnet_l2,475,0.6,1656.514,1,480.31,172.11,609.89
vit_giant_patch14_clip_224,224,0.6,1656.244,1,1012.65,267.18,192.64
vitamin_large2_384,384,0.6,1661.817,1,333.97,234.44,440.16
resnet50x64_clip_gap,448,0.59,1697.2,1,365.03,253.96,233.22
eva_giant_patch14_clip_224,224,0.58,1723.985,1,1012.59,267.18,192.64
resnet50x64_clip,448,0.58,1738.21,1,420.38,265.02,239.13
nfnet_f6,448,0.56,1772.805,1,438.36,229.7,273.62
dm_nfnet_f6,448,0.55,1813.744,1,438.36,229.7,273.62
vit_so400m_patch14_siglip_384,384,0.5,2008.52,1,428.23,335.4,452.89
vit_so400m_patch14_siglip_gap_384,384,0.49,2032.811,1,412.99,333.46,451.19
beit_large_patch16_512,512,0.48,2069.069,1,305.67,362.24,656.39
dm_nfnet_f5,544,0.48,2090.56,1,377.21,290.97,349.71
nfnet_f5,544,0.48,2077.094,1,377.21,290.97,349.71
volo_d5_448,448,0.48,2089.076,1,295.91,315.06,737.92
resnetv2_101x3_bit,448,0.47,2137.522,1,387.93,280.33,194.78
convnextv2_huge,384,0.45,2200.78,1,660.29,337.96,232.35
nfnet_f7,480,0.45,2235.058,1,499.5,300.08,355.86
maxvit_xlarge_tf_384,384,0.44,2276.68,1,475.32,292.78,668.76
resnetv2_152x4_bit,224,0.44,2264.656,1,936.53,186.9,90.22
eva02_large_patch14_448,448,0.42,2395.984,1,305.08,362.33,689.95
regnety_1280,384,0.41,2419.045,1,644.81,374.99,210.2
vit_huge_patch14_clip_336,336,0.41,2463.126,1,632.46,390.97,407.54
xcit_large_24_p8_384,384,0.38,2625.871,1,188.93,415.0,531.82
nfnet_f6,576,0.37,2705.399,1,438.36,378.69,452.2
dm_nfnet_f6,576,0.36,2764.673,1,438.36,378.69,452.2
volo_d5_512,512,0.35,2888.125,1,296.09,425.09,1105.37
vit_gigantic_patch14_224,224,0.33,3043.914,1,1844.44,483.95,275.37
vit_gigantic_patch14_clip_224,224,0.33,3054.145,1,1844.91,483.96,275.37
vit_so400m_patch14_siglip_gap_448,448,0.33,3055.238,1,413.33,487.18,764.26
swinv2_cr_huge_384,384,0.32,3112.935,1,657.94,352.04,583.18
vit_huge_patch14_clip_quickgelu_378,378,0.32,3153.715,1,632.68,503.79,572.79
cait_m48_448,448,0.31,3237.951,1,356.46,329.41,1708.23
convnextv2_huge,512,0.31,3235.039,1,660.29,600.81,413.07
vit_huge_patch14_clip_378,378,0.31,3192.651,1,632.68,503.79,572.79
vit_large_patch14_dinov2,518,0.3,3283.515,1,304.37,507.15,1058.82
vit_large_patch14_reg4_dinov2,518,0.3,3302.339,1,304.37,508.9,1064.02
nfnet_f7,608,0.29,3432.385,1,499.5,480.39,570.85
vit_huge_patch16_gap_448,448,0.29,3444.702,1,631.67,544.7,636.83
swinv2_cr_giant_224,224,0.28,3558.238,1,2598.76,483.85,309.15
eva_giant_patch14_336,336,0.25,3940.881,1,1013.01,620.64,550.67
samvit_base_patch16,1024,0.24,4123.097,1,89.67,486.43,1343.27
davit_huge_fl,768,0.23,4324.634,1,360.64,744.84,1060.3
maxvit_xlarge_tf_512,512,0.22,4520.247,1,475.77,534.14,1413.22
efficientnet_l2,800,0.21,4705.895,1,480.31,479.12,1707.39
regnety_2560,384,0.21,4775.125,1,1282.6,747.83,296.49
tf_efficientnet_l2,800,0.21,4750.597,1,480.31,479.12,1707.39
resnetv2_152x4_bit,480,0.17,5875.601,1,936.53,844.84,414.26
sam2_hiera_large,1024,0.16,6214.186,1,212.15,907.48,2190.34
eva02_enormous_patch14_clip_224,224,0.14,6939.876,1,4350.56,1132.46,497.58
vit_giant_patch14_dinov2,518,0.1,10207.402,1,1136.48,1784.2,2757.89
vit_giant_patch14_reg4_dinov2,518,0.1,10361.576,1,1136.48,1790.08,2771.21
eva_giant_patch14_560,560,0.09,10775.568,1,1014.45,1906.76,2577.17
samvit_large_patch16,1024,0.09,11652.888,1,308.28,1493.86,2553.78
swinv2_cr_giant_384,384,0.09,11052.423,1,2598.76,1450.71,1394.86
vit_so400m_patch14_siglip_gap_896,896,0.06,16814.851,1,416.87,2731.49,8492.88
samvit_huge_patch16,1024,0.05,21270.331,1,637.03,2982.23,3428.16