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

@@ -78,7 +78,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "56d026bf244c6516d8cb780280ce7cc6505f270e",
+            "optimum_benchmark_commit": "d8c451da5aac8852b6a6e83b9b56a2aa6f007535",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 865.112064,
+                "max_ram": 865.869824,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -106,55 +106,55 @@
             "latency": {
                 "unit": "s",
                 "count": 25,
-                "total": 1.0178087650000123,
-                "mean": 0.04071235060000049,
-                "stdev": 0.0017824830984192021,
-                "p50": 0.04011878399998636,
-                "p90": 0.04280081160001146,
-                "p95": 0.044003787600013305,
-                "p99": 0.04615437883999789,
+                "total": 1.025874817999977,
+                "mean": 0.04103499271999908,
+                "stdev": 0.0014442037709258423,
+                "p50": 0.04071785399997907,
+                "p90": 0.042030759400006446,
+                "p95": 0.043290524200017444,
+                "p99": 0.04603069660000528,
                 "values": [
-                    0.04074545299999954,
-                    0.04066926199999443,
-                    0.04048673100001565,
-                    0.039640469000005396,
-                    0.040115947999993296,
-                    0.04011878399998636,
-                    0.04047203300001456,
-                    0.04010164199999622,
-                    0.039349719000000505,
-                    0.03981374399998572,
-                    0.039561323000015136,
-                    0.046755418999993026,
-                    0.04248013200000855,
-                    0.04116036700000336,
-                    0.04012286099998619,
-                    0.0399340900000027,
-                    0.0395275799999979,
-                    0.04193749799998159,
-                    0.04123158799998805,
-                    0.039358004999996865,
-                    0.03932792800000584,
-                    0.03924308000000565,
-                    0.04301459800001339,
-                    0.04425108500001329,
-                    0.03838942600000905
+                    0.04080918200003225,
+                    0.04119730900004015,
+                    0.04066244899996718,
+                    0.03983944299994846,
+                    0.039448882999977286,
+                    0.039785432000030596,
+                    0.040319178000004285,
+                    0.040071074999957546,
+                    0.04006311000000551,
+                    0.04023639399997592,
+                    0.04071785399997907,
+                    0.040188154000020404,
+                    0.04100975799997286,
+                    0.040688017000036325,
+                    0.04028128800001696,
+                    0.041153025999960846,
+                    0.04125832500000115,
+                    0.04105082399996718,
+                    0.04098592399998324,
+                    0.04117477600004804,
+                    0.0406611880000014,
+                    0.04681894899999861,
+                    0.04353456400002642,
+                    0.04160535100004381,
+                    0.042314364999981535
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 24.562570946222593
+                "value": 24.369445044707746
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.5358521388127256e-06,
-                "ram": 6.418513801464725e-08,
+                "cpu": 1.627800586046996e-06,
+                "ram": 6.802621631720739e-08,
                 "gpu": 0.0,
-                "total": 1.6000372768273727e-06
+                "total": 1.6958268023642034e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 624985.4390785481
+                "value": 589682.8606588065
             }
         }
     }