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  1. cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json +206 -219
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+ 0.004965375900268554,
223
+ 0.0049827837944030765,
224
+ 0.004994048118591309,
225
+ 0.004974592208862305,
226
+ 0.004973567962646484,
227
+ 0.0049827837944030765,
228
+ 0.005004288196563721,
229
  0.004956160068511963,
230
+ 0.004983808040618896,
231
+ 0.004960256099700928,
232
+ 0.004983808040618896,
233
+ 0.00495411205291748,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
234
  0.004958208084106445,
235
+ 0.004958208084106445,
236
+ 0.004984831809997559,
237
+ 0.004967423915863037,
238
+ 0.004952064037322998,
239
+ 0.004971519947052002,
240
+ 0.004959231853485108
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
241
  ]
242
  },
243
  "throughput": {
244
  "unit": "samples/s",
245
+ "value": 185.5873013677786
246
  },
247
  "energy": {
248
  "unit": "kWh",
249
+ "cpu": 6.114575597974989e-08,
250
+ "ram": 3.342808744280909e-08,
251
+ "gpu": 1.2309001828866196e-07,
252
+ "total": 2.176638617112209e-07
253
  },
254
  "efficiency": {
255
  "unit": "samples/kWh",
256
+ "value": 4594239.90798583
257
  }
258
  }
259
  }