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  1. cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark_report.json +205 -212
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225
+ 0.004891647815704346,
226
+ 0.0050206718444824215,
227
+ 0.004923391819000244,
228
+ 0.00491315221786499,
229
+ 0.004896768093109131,
230
+ 0.0049203200340270994,
231
+ 0.004880383968353271,
232
+ 0.004941823959350586,
233
+ 0.004936704158782959,
234
+ 0.004947968006134033,
235
+ 0.00488969612121582,
236
+ 0.004873216152191162,
237
+ 0.004894720077514648,
238
+ 0.004911104202270508,
239
+ 0.004895743846893311,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
240
  0.004860928058624267,
 
 
 
 
241
  0.004859903812408447,
 
 
 
 
 
 
 
 
 
 
242
  0.004863999843597412,
 
 
243
  0.004857855796813965,
 
244
  0.004863999843597412,
245
  0.004865024089813232,
246
+ 0.004860928058624267,
247
+ 0.00486195182800293,
248
+ 0.00486195182800293,
249
  0.00486297607421875,
250
+ 0.004859903812408447
 
 
 
 
 
 
 
 
 
 
 
 
251
  ]
252
  },
253
  "throughput": {
254
  "unit": "samples/s",
255
+ "value": 195.92348710023083
256
  },
257
  "energy": {
258
  "unit": "kWh",
259
+ "cpu": 5.930919861110986e-08,
260
+ "ram": 3.188971987461954e-08,
261
+ "gpu": 3.499099679408903e-07,
262
+ "total": 4.411088864266197e-07
263
  },
264
  "efficiency": {
265
  "unit": "samples/kWh",
266
+ "value": 2267013.952271293
267
  }
268
  }
269
  }