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": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "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": "f8ef06bf0d6374aaf9ec320316fa57371b562761",
+            "optimum_benchmark_commit": "f32449e677ccf97474e910c2d5ac206ff11edba2",
             "transformers_version": "4.44.0",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 968.941568,
+                "max_ram": 969.035776,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 4.410580888000027,
-                "mean": 4.410580888000027,
+                "total": 4.372907683000022,
+                "mean": 4.372907683000022,
                 "stdev": 0.0,
-                "p50": 4.410580888000027,
-                "p90": 4.410580888000027,
-                "p95": 4.410580888000027,
-                "p99": 4.410580888000027,
+                "p50": 4.372907683000022,
+                "p90": 4.372907683000022,
+                "p95": 4.372907683000022,
+                "p99": 4.372907683000022,
                 "values": [
-                    4.410580888000027
+                    4.372907683000022
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.186656844444555e-05,
-                "ram": 2.1677928325186515e-06,
+                "cpu": 5.1381003450000175e-05,
+                "ram": 2.147508201340282e-06,
                 "gpu": 0,
-                "total": 5.40343612769642e-05
+                "total": 5.3528511651340456e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 882.76992,
+                "max_ram": 883.044352,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -140,56 +140,58 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 25,
-                "total": 1.0067900060000738,
-                "mean": 0.04027160024000295,
-                "stdev": 0.0008650730112806894,
-                "p50": 0.04006160000000136,
-                "p90": 0.04125604560000511,
-                "p95": 0.04190378119998286,
-                "p99": 0.04296637275999273,
+                "count": 27,
+                "total": 1.0186884799999234,
+                "mean": 0.037729202962960125,
+                "stdev": 0.0010118080647475982,
+                "p50": 0.03756761900001493,
+                "p90": 0.038263651200009005,
+                "p95": 0.03913026090000358,
+                "p99": 0.04132687864002605,
                 "values": [
-                    0.04072020099999918,
-                    0.039419423000026654,
-                    0.03967270600003303,
-                    0.04030804900003204,
-                    0.04010631299996703,
-                    0.04005470800001376,
-                    0.040117575000010675,
-                    0.04051430399999845,
-                    0.03927244999999857,
-                    0.03996926799999301,
-                    0.04006160000000136,
-                    0.0399783160000311,
-                    0.04037588500000311,
-                    0.0398204910000004,
-                    0.039720604000024196,
-                    0.03943803699996806,
-                    0.04006507699995154,
-                    0.04073745900001313,
-                    0.04327808499999719,
-                    0.03995019299998148,
-                    0.04028779100002566,
-                    0.03977181600004087,
-                    0.041979283999978634,
-                    0.04160176999999976,
-                    0.03956860099998494
+                    0.03795414299997901,
+                    0.037698275000025205,
+                    0.037241478999987976,
+                    0.03816899399998874,
+                    0.037968810999984726,
+                    0.038405637000039405,
+                    0.0381165769999825,
+                    0.037799784000014824,
+                    0.03944081399998822,
+                    0.037612342999977955,
+                    0.037569862999987436,
+                    0.03751907800000254,
+                    0.03747041799999806,
+                    0.03763093800000661,
+                    0.03756761900001493,
+                    0.03703947199994673,
+                    0.037222994999979164,
+                    0.03749297899997828,
+                    0.03689069299997527,
+                    0.03699159600000712,
+                    0.03647964399999637,
+                    0.03706442499998275,
+                    0.037943055000027925,
+                    0.041989550000039344,
+                    0.03737127199997303,
+                    0.03699088000001893,
+                    0.03704714600002035
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 24.831394681124962
+                "value": 26.50466804140362
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.5267311335469848e-06,
-                "ram": 6.380388893852321e-08,
+                "cpu": 1.4363044930555527e-06,
+                "ram": 6.002572614536749e-08,
                 "gpu": 0.0,
-                "total": 1.5905350224855081e-06
+                "total": 1.4963302192009202e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 628719.25852806
+                "value": 668301.6804499386
             }
         }
     }