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  1. cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json +206 -219
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+ 0.004965375900268554,
325
+ 0.0049827837944030765,
326
+ 0.004994048118591309,
327
+ 0.004974592208862305,
328
+ 0.004973567962646484,
329
+ 0.0049827837944030765,
330
+ 0.005004288196563721,
331
  0.004956160068511963,
332
+ 0.004983808040618896,
333
+ 0.004960256099700928,
334
+ 0.004983808040618896,
335
+ 0.00495411205291748,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
336
  0.004958208084106445,
337
+ 0.004958208084106445,
338
+ 0.004984831809997559,
339
+ 0.004967423915863037,
340
+ 0.004952064037322998,
341
+ 0.004971519947052002,
342
+ 0.004959231853485108
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
343
  ]
344
  },
345
  "throughput": {
346
  "unit": "samples/s",
347
+ "value": 185.5873013677786
348
  },
349
  "energy": {
350
  "unit": "kWh",
351
+ "cpu": 6.114575597974989e-08,
352
+ "ram": 3.342808744280909e-08,
353
+ "gpu": 1.2309001828866196e-07,
354
+ "total": 2.176638617112209e-07
355
  },
356
  "efficiency": {
357
  "unit": "samples/kWh",
358
+ "value": 4594239.90798583
359
  }
360
  }
361
  }