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

@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "b6683a24439f2dd9ea7e05cec40bf36c11a71f7a",
+            "optimum_benchmark_commit": "1173614d292a81ced361d45dc81b00032c019f3c",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 965.226496,
+                "max_ram": 964.796416,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 4.611794513999996,
-                "mean": 4.611794513999996,
+                "total": 4.4790497799999685,
+                "mean": 4.4790497799999685,
                 "stdev": 0.0,
-                "p50": 4.611794513999996,
-                "p90": 4.611794513999996,
-                "p95": 4.611794513999996,
-                "p99": 4.611794513999996,
+                "p50": 4.4790497799999685,
+                "p90": 4.4790497799999685,
+                "p95": 4.4790497799999685,
+                "p99": 4.4790497799999685,
                 "values": [
-                    4.611794513999996
+                    4.4790497799999685
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.222082138061524e-05,
-                "ram": 2.1825837559777027e-06,
+                "cpu": 5.192586580912273e-05,
+                "ram": 2.1702699772322374e-06,
                 "gpu": 0,
-                "total": 5.440340513659294e-05
+                "total": 5.4096135786354964e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 879.2064,
+                "max_ram": 879.22688,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -140,52 +140,54 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 21,
-                "total": 1.0489137490000076,
-                "mean": 0.049948273761905124,
-                "stdev": 0.0011107314591252842,
-                "p50": 0.04983890500000143,
-                "p90": 0.05110306300002776,
-                "p95": 0.052144034999969335,
-                "p99": 0.05221983179997096,
+                "count": 23,
+                "total": 1.0343397689999847,
+                "mean": 0.04497129430434716,
+                "stdev": 0.000923993472475478,
+                "p50": 0.04513016300001027,
+                "p90": 0.046160149399997866,
+                "p95": 0.04620634420002716,
+                "p99": 0.04631955557997344,
                 "values": [
-                    0.04983890500000143,
-                    0.04981251600003134,
-                    0.048872323000011875,
-                    0.050983529999996335,
-                    0.0499381810000159,
-                    0.049863431000005676,
-                    0.05004650299997593,
-                    0.04728940100000045,
-                    0.04940298299999313,
-                    0.05110306300002776,
-                    0.04953737299996419,
-                    0.052144034999969335,
-                    0.04877134400004479,
-                    0.05223878099997137,
-                    0.04926161899999215,
-                    0.05046775899995737,
-                    0.049728860000016084,
-                    0.049808749000021635,
-                    0.04884917999999061,
-                    0.05108250500001077,
-                    0.049872708000009425
+                    0.043675068999959876,
+                    0.04617382899999711,
+                    0.04324886299997388,
+                    0.0459459539999898,
+                    0.04424311799999714,
+                    0.044241234000026,
+                    0.04537535999997999,
+                    0.043351104000009855,
+                    0.045415905000027124,
+                    0.046350467999957345,
+                    0.04610543100000086,
+                    0.045071753999991415,
+                    0.043942076000007546,
+                    0.045073606999949334,
+                    0.043869180000001506,
+                    0.04582635100001653,
+                    0.04513016300001027,
+                    0.045320817999993324,
+                    0.04513620400001628,
+                    0.045123119000038514,
+                    0.0462099570000305,
+                    0.044252644999971835,
+                    0.045257560000038666
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 20.02071192223437
+                "value": 22.236406922878686
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.6355182285662052e-06,
-                "ram": 6.834862632857152e-08,
+                "cpu": 1.5266234548682842e-06,
+                "ram": 6.379861760146574e-08,
                 "gpu": 0.0,
-                "total": 1.7038668548947767e-06
+                "total": 1.5904220724697501e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 586900.3186060308
+                "value": 628763.9094741122
             }
         }
     }