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

@@ -73,14 +73,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16766.7712,
+            "cpu_ram_mb": 16766.767104,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "1c43fa2fcd13a51b92e79f85bd1b3b0bffb11f79",
+            "optimum_benchmark_commit": "496d74599887a901aaff2a5946eda97d8b8253a3",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1161.568256,
+                "max_ram": 1161.19552,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 4.915319727999986,
-                "mean": 4.915319727999986,
+                "total": 4.82355555099997,
+                "mean": 4.82355555099997,
                 "stdev": 0.0,
-                "p50": 4.915319727999986,
-                "p90": 4.915319727999986,
-                "p95": 4.915319727999986,
-                "p99": 4.915319727999986,
+                "p50": 4.82355555099997,
+                "p90": 4.82355555099997,
+                "p95": 4.82355555099997,
+                "p99": 4.82355555099997,
                 "values": [
-                    4.915319727999986
+                    4.82355555099997
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 6.839418677777663e-05,
-                "ram": 2.8602952840352813e-06,
+                "cpu": 6.918123566666705e-05,
+                "ram": 2.893243965270569e-06,
                 "gpu": 0,
-                "total": 7.125448206181192e-05
+                "total": 7.207447963193762e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1189.289984,
+                "max_ram": 1188.941824,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,37 +141,37 @@
             "latency": {
                 "unit": "s",
                 "count": 7,
-                "total": 1.0913677670000652,
-                "mean": 0.15590968100000932,
-                "stdev": 0.009680232899733151,
-                "p50": 0.16100529500005223,
-                "p90": 0.16371530339999935,
-                "p95": 0.16505209769999282,
-                "p99": 0.1661215331399876,
+                "total": 1.0702219039999932,
+                "mean": 0.15288884342857045,
+                "stdev": 0.010245230905339449,
+                "p50": 0.15636647700000594,
+                "p90": 0.16288710300001413,
+                "p95": 0.1649129475000052,
+                "p99": 0.16653362309999806,
                 "values": [
-                    0.16193291100000806,
-                    0.16100529500005223,
-                    0.1617018489999964,
-                    0.1663888919999863,
-                    0.15831247400001303,
-                    0.14039860299999418,
-                    0.14162774300001502
+                    0.16693879199999628,
+                    0.15636647700000594,
+                    0.158696410999994,
+                    0.16018597700002601,
+                    0.15181398499998977,
+                    0.13850147599998763,
+                    0.13771878599999354
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.41396989324826
+                "value": 6.540699619244613
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.503771427777811e-06,
-                "ram": 2.301525548221378e-07,
+                "cpu": 5.448522430555672e-06,
+                "ram": 2.2783970935652753e-07,
                 "gpu": 0.0,
-                "total": 5.7339239825999494e-06
+                "total": 5.6763621399122e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 174400.63785892172
+                "value": 176169.16880068326
             }
         }
     }