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": 16757.346304,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "8d79709992edcccdc1bf81d55005e3bb3ccf994a",
+            "optimum_benchmark_commit": "99006bdc98988288ce9079002c8f7a21bf6aa26d",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 867.160064,
+                "max_ram": 866.820096,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -107,54 +107,53 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 23,
-                "total": 1.030573196000006,
-                "mean": 0.044807530260869824,
-                "stdev": 0.0011824265296659646,
-                "p50": 0.04498438999999621,
-                "p90": 0.04564579859999185,
-                "p95": 0.04727922389999151,
-                "p99": 0.04762119333999351,
+                "count": 22,
+                "total": 1.0382290429999443,
+                "mean": 0.0471922292272702,
+                "stdev": 0.0011126526524861868,
+                "p50": 0.04719589799999824,
+                "p90": 0.04846695700000225,
+                "p95": 0.0487464451000136,
+                "p99": 0.04980964228001199,
                 "values": [
-                    0.04500644000000875,
-                    0.044012865000013335,
-                    0.044893811000008554,
-                    0.04263855499999636,
-                    0.04547697300000664,
-                    0.04498438999999621,
-                    0.0433935660000202,
-                    0.04518805699999007,
-                    0.042990357999997286,
-                    0.044008527000016784,
-                    0.04517387100000292,
-                    0.04496457299998724,
-                    0.04513447800002268,
-                    0.043122403000012355,
-                    0.04568800499998815,
-                    0.04422568100000035,
-                    0.04517718700000728,
-                    0.045264237999987245,
-                    0.04515872299998591,
-                    0.04424600799998757,
-                    0.04745602599999188,
-                    0.04766777899999397,
-                    0.044700681999984226
+                    0.04875852200001418,
+                    0.04685289100001455,
+                    0.047345616999990625,
+                    0.04477713500000391,
+                    0.0470217359999765,
+                    0.04642865299999244,
+                    0.04801671399999918,
+                    0.048516984000002594,
+                    0.04719673899998611,
+                    0.04696483999998691,
+                    0.0500890540000114,
+                    0.04772531199998298,
+                    0.04657689800001208,
+                    0.04538866100000405,
+                    0.048003389999990986,
+                    0.046774506000019755,
+                    0.04736374999998816,
+                    0.04740534799998386,
+                    0.04725061099998129,
+                    0.04563235399999144,
+                    0.047195057000010365,
+                    0.04694427100000098
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 22.31767727830549
+                "value": 21.18992928230113
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.5182588344965226e-06,
-                "ram": 6.34495170098804e-08,
+                "cpu": 1.6085544692145455e-06,
+                "ram": 6.721935710493577e-08,
                 "gpu": 0.0,
-                "total": 1.581708351506403e-06
+                "total": 1.6757738263194812e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 632227.805491202
+                "value": 596739.2402805992
             }
         }
     }