Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json

@@ -78,7 +78,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "b04fb3c909a5873eadf03d7b46ccfac63afcdf9e",
+            "optimum_benchmark_commit": "4ec62071e1c9b9c89fb7e3c044340b391a0c4120",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1177.055232,
+                "max_ram": 1176.961024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -106,37 +106,37 @@
             "latency": {
                 "unit": "s",
                 "count": 7,
-                "total": 1.0978328830000237,
-                "mean": 0.15683326900000338,
-                "stdev": 0.007914267554677978,
-                "p50": 0.1582452619999799,
-                "p90": 0.16256646000002775,
-                "p95": 0.1651654185000268,
-                "p99": 0.16724458530002606,
+                "total": 1.07505107399993,
+                "mean": 0.15357872485713284,
+                "stdev": 0.004652881803530702,
+                "p50": 0.15446068100004595,
+                "p90": 0.15674807739999325,
+                "p95": 0.15786413619998144,
+                "p99": 0.15875698323997198,
                 "values": [
-                    0.15850974299996778,
-                    0.15682296699998233,
-                    0.1582452619999799,
-                    0.15808986300004335,
-                    0.15910118200002898,
-                    0.1677643770000259,
-                    0.13929948899999545
+                    0.15491768099997216,
+                    0.1541707999999744,
+                    0.15525999900000897,
+                    0.15446068100004595,
+                    0.15444715699999279,
+                    0.15898019499996963,
+                    0.14281456099996603
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.376198152191666
+                "value": 6.511318549690093
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.466073917018043e-06,
-                "ram": 2.2844232301441278e-07,
+                "cpu": 5.5726250012715666e-06,
+                "ram": 2.3288717598831e-07,
                 "gpu": 0.0,
-                "total": 5.694516240032456e-06
+                "total": 5.805512177259876e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 175607.5420366701
+                "value": 172250.09085623632
             }
         }
     }