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

@@ -73,14 +73,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "0b698510ea1d823135aec78328a8e6e308aed8da",
+            "optimum_benchmark_commit": "5d46f86e41f222edc00e7cd49069aba0547a6c3d",
             "transformers_version": "4.44.0",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 969.330688,
+                "max_ram": 969.25696,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 4.450974395000003,
-                "mean": 4.450974395000003,
+                "total": 4.574123701000019,
+                "mean": 4.574123701000019,
                 "stdev": 0.0,
-                "p50": 4.450974395000003,
-                "p90": 4.450974395000003,
-                "p95": 4.450974395000003,
-                "p99": 4.450974395000003,
+                "p50": 4.574123701000019,
+                "p90": 4.574123701000019,
+                "p95": 4.574123701000019,
+                "p99": 4.574123701000019,
                 "values": [
-                    4.450974395000003
+                    4.574123701000019
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.0983713511110793e-05,
-                "ram": 2.1308966993699097e-06,
+                "cpu": 5.1018641838888365e-05,
+                "ram": 2.1322652641133056e-06,
                 "gpu": 0,
-                "total": 5.31146102104807e-05
+                "total": 5.315090710300167e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 883.150848,
+                "max_ram": 882.946048,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -140,54 +140,57 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 23,
-                "total": 1.0102823710000166,
-                "mean": 0.043925320478261594,
-                "stdev": 0.0010736658671463316,
-                "p50": 0.0441504869999676,
-                "p90": 0.045195403599996097,
-                "p95": 0.04566357810003865,
-                "p99": 0.046467538399992916,
+                "count": 26,
+                "total": 1.0117856309998388,
+                "mean": 0.03891483196153226,
+                "stdev": 0.0011392601344674415,
+                "p50": 0.03866363250000404,
+                "p90": 0.040331140999995796,
+                "p95": 0.04104972600001133,
+                "p99": 0.04218766299997867,
                 "values": [
-                    0.04668525699997872,
-                    0.04439241999995147,
-                    0.04231129599997985,
-                    0.04416107600002306,
-                    0.043361000000004424,
-                    0.044169602000010855,
-                    0.042826931000035984,
-                    0.04246599500004322,
-                    0.04213245199997573,
-                    0.04444606999999223,
-                    0.04447646599999189,
-                    0.0441504869999676,
-                    0.04361833100000467,
-                    0.043531848999975864,
-                    0.04307765000004338,
-                    0.043699112000012974,
-                    0.04537513799999715,
-                    0.0444424730000037,
-                    0.04267252199997529,
-                    0.04389183200004254,
-                    0.044422314999962964,
-                    0.04569562700004326,
-                    0.04427646999999979
+                    0.03965446500001235,
+                    0.03889788400005045,
+                    0.038425131999986206,
+                    0.038746782999965035,
+                    0.038998251999998956,
+                    0.042523934999962876,
+                    0.03815916799999286,
+                    0.03873670400002993,
+                    0.03832751099997722,
+                    0.03947695400000839,
+                    0.04117884700002605,
+                    0.03822873699999718,
+                    0.03859056099997815,
+                    0.03777958899996747,
+                    0.03798442200002228,
+                    0.038457392999987405,
+                    0.03877728899999511,
+                    0.03887445099996967,
+                    0.038105486000006294,
+                    0.03980676800000538,
+                    0.03781350200000588,
+                    0.03831560899999431,
+                    0.03999991900002442,
+                    0.04066236299996717,
+                    0.03766934299994773,
+                    0.03759456399995997
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 22.765912442116264
+                "value": 25.69714295537781
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.5127984756410407e-06,
-                "ram": 6.322142658100836e-08,
+                "cpu": 1.4884042646090817e-06,
+                "ram": 6.2202440777141e-08,
                 "gpu": 0.0,
-                "total": 1.576019902222049e-06
+                "total": 1.5506067053862228e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 634509.7537093841
+                "value": 644908.8582722989
             }
         }
     }