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

@@ -81,7 +81,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "2a33a472f309c43b5bd16946ef9cec843d02f70a",
+            "optimum_benchmark_commit": "4f83ff1670dec8f273c8beb893e9243ca1209582",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -100,7 +100,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1183.04768,
+                "max_ram": 1183.379456,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -109,37 +109,37 @@
             "latency": {
                 "unit": "s",
                 "count": 7,
-                "total": 1.052113009999971,
-                "mean": 0.15030185857142442,
-                "stdev": 0.005075315777097458,
-                "p50": 0.15170451699998466,
-                "p90": 0.15369629920000988,
-                "p95": 0.15434162260000903,
-                "p99": 0.15485788132000836,
+                "total": 1.1065284569999676,
+                "mean": 0.15807549385713823,
+                "stdev": 0.006956590465892659,
+                "p50": 0.160695507000014,
+                "p90": 0.16184740520001242,
+                "p95": 0.16193199560000265,
+                "p99": 0.16199966791999487,
                 "values": [
-                    0.15173136799995746,
-                    0.15498694600000817,
-                    0.15170451699998466,
-                    0.15137901000002785,
-                    0.15283586800001103,
-                    0.1512510420000126,
-                    0.13822425899996915
+                    0.15984702999998035,
+                    0.1613354030000096,
+                    0.1597475339999619,
+                    0.1620165859999929,
+                    0.16173461800002542,
+                    0.160695507000014,
+                    0.14115177899998343
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.653277674040162
+                "value": 6.326091259305231
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.399584439065722e-06,
-                "ram": 2.2566322206714063e-07,
+                "cpu": 5.456401076581743e-06,
+                "ram": 2.2803440934822558e-07,
                 "gpu": 0.0,
-                "total": 5.625247661132863e-06
+                "total": 5.6844354859299685e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 177769.95080757226
+                "value": 175918.9637168344
             }
         }
     }