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  1. cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json +205 -212
cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json CHANGED
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328
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329
+ 0.004923391819000244,
330
+ 0.00491315221786499,
331
+ 0.004896768093109131,
332
+ 0.0049203200340270994,
333
+ 0.004880383968353271,
334
+ 0.004941823959350586,
335
+ 0.004936704158782959,
336
+ 0.004947968006134033,
337
+ 0.00488969612121582,
338
+ 0.004873216152191162,
339
+ 0.004894720077514648,
340
+ 0.004911104202270508,
341
+ 0.004895743846893311,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
342
  0.004860928058624267,
 
 
 
 
343
  0.004859903812408447,
 
 
 
 
 
 
 
 
 
 
344
  0.004863999843597412,
 
 
345
  0.004857855796813965,
 
346
  0.004863999843597412,
347
  0.004865024089813232,
348
+ 0.004860928058624267,
349
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350
+ 0.00486195182800293,
351
  0.00486297607421875,
352
+ 0.004859903812408447
 
 
 
 
 
 
 
 
 
 
 
 
353
  ]
354
  },
355
  "throughput": {
356
  "unit": "samples/s",
357
+ "value": 195.92348710023083
358
  },
359
  "energy": {
360
  "unit": "kWh",
361
+ "cpu": 5.930919861110986e-08,
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+ "ram": 3.188971987461954e-08,
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+ "gpu": 3.499099679408903e-07,
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+ "total": 4.411088864266197e-07
365
  },
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  "efficiency": {
367
  "unit": "samples/kWh",
368
+ "value": 2267013.952271293
369
  }
370
  }
371
  }