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": "0.2.1",
-            "optimum_benchmark_commit": "48414f58841d7ba7c7fd42d74fd524d1d23c3081",
+            "optimum_benchmark_commit": "2516ce57a5b64eefeb78dc75a171e0cdff88823e",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1177.116672,
+                "max_ram": 1177.178112,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -105,38 +105,37 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 7,
-                "total": 1.111056342999973,
-                "mean": 0.15872233471428185,
-                "stdev": 0.007212274773571628,
-                "p50": 0.16079884099997344,
-                "p90": 0.1633667502000094,
-                "p95": 0.16362701460000154,
-                "p99": 0.16383522611999524,
+                "count": 6,
+                "total": 1.0275452949999817,
+                "mean": 0.1712575491666636,
+                "stdev": 0.030511120319859884,
+                "p50": 0.15585398100000702,
+                "p90": 0.21211181199998919,
+                "p95": 0.21894574749998696,
+                "p99": 0.2244128958999852,
                 "values": [
-                    0.1606884560000026,
-                    0.16079884099997344,
-                    0.16301973100001987,
-                    0.16049666700001808,
-                    0.1608530429999746,
-                    0.16388727899999367,
-                    0.14131232599999066
+                    0.15349211599999535,
+                    0.15261256700000558,
+                    0.19844394099999363,
+                    0.22577968299998474,
+                    0.1582158460000187,
+                    0.1390011419999837
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.300310550497591
+                "value": 5.8391586523688055
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.550086001555125e-06,
-                "ram": 2.3195448505166636e-07,
+                "cpu": 5.5006091793378195e-06,
+                "ram": 2.2988736170727718e-07,
                 "gpu": 0.0,
-                "total": 5.782040486606791e-06
+                "total": 5.7304965410450965e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 172949.3251242959
+                "value": 174504.9478413306
             }
         }
     }