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

@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "4d3f68ed3ce69889d7a985653d3dd6cc1816c2c6",
+            "optimum_benchmark_commit": "1184dccbee75a8580e1bb5b5a4484cd8c18bf2b0",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1166.229504,
+                "max_ram": 1166.041088,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 5.181303961999959,
-                "mean": 5.181303961999959,
+                "total": 5.006750189999991,
+                "mean": 5.006750189999991,
                 "stdev": 0.0,
-                "p50": 5.181303961999959,
-                "p90": 5.181303961999959,
-                "p95": 5.181303961999959,
-                "p99": 5.181303961999959,
+                "p50": 5.006750189999991,
+                "p90": 5.006750189999991,
+                "p95": 5.006750189999991,
+                "p99": 5.006750189999991,
                 "values": [
-                    5.181303961999959
+                    5.006750189999991
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 6.962846959444531e-05,
-                "ram": 2.91029987909296e-06,
+                "cpu": 6.916781013333315e-05,
+                "ram": 2.891042316066542e-06,
                 "gpu": 0,
-                "total": 7.253876947353827e-05
+                "total": 7.205885244939969e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1194.258432,
+                "max_ram": 1194.205184,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -140,38 +140,37 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 7,
-                "total": 1.1195090680000135,
-                "mean": 0.15992986685714478,
-                "stdev": 0.0077994896320085095,
-                "p50": 0.1618611009999995,
-                "p90": 0.16705271120001725,
-                "p95": 0.1689572651000276,
-                "p99": 0.17048090822003586,
+                "count": 6,
+                "total": 1.093350015999988,
+                "mean": 0.18222500266666466,
+                "stdev": 0.0422317651394493,
+                "p50": 0.17594604949999848,
+                "p90": 0.23170626499998548,
+                "p95": 0.23191662249998046,
+                "p99": 0.23208490849997646,
                 "values": [
-                    0.1628453509999872,
-                    0.1618611009999995,
-                    0.16127868699999226,
-                    0.16451330600000347,
-                    0.17086181900003794,
-                    0.15329207399997813,
-                    0.14485673000001498
+                    0.2312855499999955,
+                    0.23212697999997545,
+                    0.20750354799997694,
+                    0.1385195480000334,
+                    0.13952583899998672,
+                    0.14438855100002002
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.252740777263553
+                "value": 5.487721143455003
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.582875199999965e-06,
-                "ram": 2.3331837367181365e-07,
+                "cpu": 5.417909928472201e-06,
+                "ram": 2.2643010656684401e-07,
                 "gpu": 0.0,
-                "total": 5.816193573671778e-06
+                "total": 5.644340035039046e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 171933.75484040112
+                "value": 177168.63154809602
             }
         }
     }