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": 16757.3504,
+            "cpu_ram_mb": 16757.354496,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "079be6729111d58c45eb7f4a60e984bbf86c5a81",
+            "optimum_benchmark_commit": "d8da484bc148044dec1ba23c2d50d43cabd271ad",
             "transformers_version": "4.41.0",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 863.961088,
+                "max_ram": 864.6656,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,53 +108,53 @@
             "latency": {
                 "unit": "s",
                 "count": 23,
-                "total": 1.0036315799997055,
-                "mean": 0.04363615565216111,
-                "stdev": 0.002969326787153515,
-                "p50": 0.045148681999990004,
-                "p90": 0.04625126439999576,
-                "p95": 0.04653903249999871,
-                "p99": 0.04696325008000599,
+                "total": 1.0180954319999103,
+                "mean": 0.0442650187826048,
+                "stdev": 0.001672665122043294,
+                "p50": 0.04475820199999703,
+                "p90": 0.04570843619999891,
+                "p95": 0.045992968799995995,
+                "p99": 0.04639754204000781,
                 "values": [
-                    0.04597339999997985,
-                    0.04443789999999126,
-                    0.045852863999982674,
-                    0.043872808999992685,
-                    0.046177978000002895,
-                    0.0470744570000079,
-                    0.044910686000037,
-                    0.04573595399995156,
-                    0.04626958599999398,
-                    0.04541019300000926,
-                    0.045148681999990004,
-                    0.045203585999956886,
-                    0.04588216899998088,
-                    0.04545246300000372,
-                    0.04472013899999183,
-                    0.04656897099999924,
-                    0.03957236999997349,
-                    0.03957636799998454,
-                    0.03990820899997516,
-                    0.03918901099996219,
-                    0.039321579999977985,
-                    0.038405180999973254,
-                    0.038967023999987305
+                    0.04549818899999991,
+                    0.0442509299999756,
+                    0.04514333899999201,
+                    0.04347836200000188,
+                    0.043964015000000245,
+                    0.04407940000001531,
+                    0.04475820199999703,
+                    0.04254964499997982,
+                    0.045620936999995365,
+                    0.044458844999979874,
+                    0.0447681409999916,
+                    0.04502837499998691,
+                    0.04425479599998994,
+                    0.04477188800001386,
+                    0.04534954299998617,
+                    0.045224429999990434,
+                    0.0444944729999861,
+                    0.04602215299999557,
+                    0.0457303109999998,
+                    0.04650342100001126,
+                    0.04252627100001405,
+                    0.03995921599999974,
+                    0.03966055000000779
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 22.916775895001976
+                "value": 22.59120243258495
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.5105011626186536e-06,
-                "ram": 6.312483572092111e-08,
+                "cpu": 1.5171351595821545e-06,
+                "ram": 6.340202392612819e-08,
                 "gpu": 0.0,
-                "total": 1.5736259983395744e-06
+                "total": 1.5805371835082827e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 635475.0118866612
+                "value": 632696.282273045
             }
         }
     }