Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json

@@ -71,14 +71,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.3504,
+            "cpu_ram_mb": 16757.354496,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "b50afdd89f3c69090dee699e5e398c44916e2d64",
+            "optimum_benchmark_commit": "6fcf23d15753ee501a4776b6dfde05d914257752",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 865.419264,
+                "max_ram": 864.641024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -105,54 +105,52 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 23,
-                "total": 1.0375691879998499,
-                "mean": 0.04511170382608043,
-                "stdev": 0.0004865180510892739,
-                "p50": 0.045204441000009865,
-                "p90": 0.0456352919999631,
-                "p95": 0.0457112607999818,
-                "p99": 0.04595066663997954,
+                "count": 21,
+                "total": 1.0142767419999927,
+                "mean": 0.04829889247619013,
+                "stdev": 0.0007800012880131199,
+                "p50": 0.04831144999999992,
+                "p90": 0.049221315000011145,
+                "p95": 0.049420495999981995,
+                "p99": 0.049853590399982294,
                 "values": [
-                    0.04529336699999931,
-                    0.04496402099999841,
-                    0.045718352999983836,
-                    0.04425048500002049,
-                    0.0449976740000011,
-                    0.04507095100001379,
-                    0.04521970000001829,
-                    0.046016190999978335,
-                    0.0446192050000036,
-                    0.04475604200001726,
-                    0.04542027499996948,
-                    0.04504349999996293,
-                    0.045490727000014886,
-                    0.0445188260000009,
-                    0.0455315829999563,
-                    0.044002640999963205,
-                    0.04532004700001835,
-                    0.04539703199998257,
-                    0.045030134000001,
-                    0.044469826000010926,
-                    0.04564743099996349,
-                    0.04558673599996155,
-                    0.045204441000009865
+                    0.0484053559999893,
+                    0.04801621100000375,
+                    0.049420495999981995,
+                    0.04901884800000289,
+                    0.048181720000002315,
+                    0.04836144500001183,
+                    0.049221315000011145,
+                    0.04857640399998786,
+                    0.04872484099999497,
+                    0.04643498799998724,
+                    0.0479876570000215,
+                    0.047019817000006014,
+                    0.04996186399998237,
+                    0.04823791399999777,
+                    0.04899232899998651,
+                    0.04776861100000929,
+                    0.04772973800001523,
+                    0.04840469500001632,
+                    0.047981736999986424,
+                    0.047519305999998096,
+                    0.04831144999999992
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 22.16719642989565
+                "value": 20.70440850156076
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.5256335083236045e-06,
-                "ram": 6.375783241434163e-08,
+                "cpu": 1.6627890092355235e-06,
+                "ram": 6.948848669032041e-08,
                 "gpu": 0.0,
-                "total": 1.589391340737946e-06
+                "total": 1.732277495925844e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 629171.6673979772
+                "value": 577274.7162922265
             }
         }
     }