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  1. cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark_report.json +223 -212
cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark_report.json CHANGED
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229
+ 0.005092351913452148,
 
 
 
 
230
  0.005114880084991455,
231
+ 0.005104640007019043,
232
+ 0.005061632156372071,
233
+ 0.005123072147369385,
234
+ 0.005070879936218262,
235
+ 0.005057536125183106,
236
+ 0.005070847988128662,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
237
  0.005105663776397705,
238
+ 0.0050769920349121095,
239
+ 0.005060575962066651,
240
+ 0.0050984640121459965,
241
+ 0.005059584140777588,
242
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243
+ 0.005067776203155518,
244
+ 0.005101568222045898,
245
+ 0.005073919773101807,
246
+ 0.005062655925750732,
247
  0.005148672103881836,
248
+ 0.0053350400924682614,
249
+ 0.0053012480735778805,
250
+ 0.005082079887390137,
251
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252
+ 0.005092351913452148,
253
+ 0.005098495960235596,
254
+ 0.005112832069396973,
255
+ 0.005096447944641113,
256
+ 0.005081088066101074,
257
+ 0.00506982421875
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
258
  ]
259
  },
260
  "throughput": {
261
  "unit": "samples/s",
262
+ "value": 202.6017203600804
263
  },
264
  "energy": {
265
  "unit": "kWh",
266
+ "cpu": 5.8772802090193884e-08,
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+ "ram": 3.211705814318919e-08,
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+ "gpu": 3.3413255553469213e-07,
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+ "total": 4.250224157680752e-07
270
  },
271
  "efficiency": {
272
  "unit": "samples/kWh",
273
+ "value": 2352817.081877575
274
  }
275
  }
276
  }