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  1. cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark_report.json +207 -214
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+ 0.005254144191741943,
229
+ 0.005235712051391602,
230
+ 0.00526643180847168,
231
  0.0052336640357971195,
 
 
 
 
 
 
 
 
232
  0.0052295680046081545,
233
+ 0.005256192207336426,
234
+ 0.0052408318519592285,
235
+ 0.0052408318519592285,
236
+ 0.005258240222930908,
237
+ 0.005239808082580567,
238
  0.005230591773986816,
239
+ 0.005252096176147461
240
+ ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
241
  },
242
  "throughput": {
243
  "unit": "samples/s",
244
+ "value": 185.56168494713882
245
  },
246
  "energy": {
247
  "unit": "kWh",
248
+ "cpu": 5.951064973827604e-08,
249
+ "ram": 3.252010771903772e-08,
250
+ "gpu": 3.3492628692462447e-07,
251
+ "total": 4.2695704438193825e-07
252
  },
253
  "efficiency": {
254
  "unit": "samples/kWh",
255
+ "value": 2342155.992408082
256
  }
257
  }
258
  }