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": "56d026bf244c6516d8cb780280ce7cc6505f270e",
+            "optimum_benchmark_commit": "c1d0b062e90b79e7705510c58cea731c0d90da8a",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1175.61344,
+                "max_ram": 1177.10848,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -106,37 +106,37 @@
             "latency": {
                 "unit": "s",
                 "count": 7,
-                "total": 1.0838788759999716,
-                "mean": 0.15483983942856736,
-                "stdev": 0.0072496890697460155,
-                "p50": 0.15648951999997962,
-                "p90": 0.15948984639998115,
-                "p95": 0.16027294869999195,
-                "p99": 0.16089943054000058,
+                "total": 1.0693912199998863,
+                "mean": 0.15277017428569803,
+                "stdev": 0.006763016495998352,
+                "p50": 0.15585435500003086,
+                "p90": 0.15689013039998373,
+                "p95": 0.15714211269997805,
+                "p99": 0.15734369853997351,
                 "values": [
-                    0.15624999200002776,
-                    0.15648951999997962,
-                    0.15583388599998216,
-                    0.15825302000001784,
-                    0.15844570999996677,
-                    0.16105605100000275,
-                    0.13755069699999467
+                    0.15655415399999129,
+                    0.1555904519999558,
+                    0.15585435500003086,
+                    0.15739409499997237,
+                    0.15131836399996246,
+                    0.15588450199999215,
+                    0.13679529799998136
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.45828621167831
+                "value": 6.545780317890346
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.418177942434947e-06,
-                "ram": 2.2644157474577042e-07,
+                "cpu": 4.587034678753512e-06,
+                "ram": 1.91701726797962e-07,
                 "gpu": 0.0,
-                "total": 5.6446195171807175e-06
+                "total": 4.778736405551474e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 177159.85939464413
+                "value": 209260.33895451875
             }
         }
     }