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": "e1b2533cc248426321f96c19cea6b85683224daa",
+            "optimum_benchmark_commit": "8b759bc0742b6984132ce7d4aeb59966503ba57b",
             "transformers_version": "4.44.0",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1166.163968,
+                "max_ram": 1166.036992,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 4.472809036000001,
-                "mean": 4.472809036000001,
+                "total": 4.9247207090000416,
+                "mean": 4.9247207090000416,
                 "stdev": 0.0,
-                "p50": 4.472809036000001,
-                "p90": 4.472809036000001,
-                "p95": 4.472809036000001,
-                "p99": 4.472809036000001,
+                "p50": 4.9247207090000416,
+                "p90": 4.9247207090000416,
+                "p95": 4.9247207090000416,
+                "p99": 4.9247207090000416,
                 "values": [
-                    4.472809036000001
+                    4.9247207090000416
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 6.498379661666781e-05,
-                "ram": 2.7161650416949724e-06,
+                "cpu": 7.032674218889069e-05,
+                "ram": 2.939474632400669e-06,
                 "gpu": 0,
-                "total": 6.769996165836278e-05
+                "total": 7.326621682129135e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1194.037248,
+                "max_ram": 1194.061824,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -140,39 +140,38 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 8,
-                "total": 1.119846989999985,
-                "mean": 0.13998087374999812,
-                "stdev": 0.008153594386109424,
-                "p50": 0.13930838549998725,
-                "p90": 0.15106495350000843,
-                "p95": 0.15313812075002034,
-                "p99": 0.15479665455002986,
+                "count": 7,
+                "total": 1.0522111779998227,
+                "mean": 0.15031588257140324,
+                "stdev": 0.0068537441483596615,
+                "p50": 0.15295108499998378,
+                "p90": 0.15715417559997605,
+                "p95": 0.15787593929998706,
+                "p99": 0.15845335025999588,
                 "values": [
-                    0.1395148949999907,
-                    0.1391018759999838,
-                    0.1405541459999995,
-                    0.1492879529999982,
-                    0.15521128800003225,
-                    0.13072657700001855,
-                    0.12948402899996836,
-                    0.13596622599999364
+                    0.15619182399996134,
+                    0.15295108499998378,
+                    0.1531323929999644,
+                    0.15120100199999342,
+                    0.1585977029999981,
+                    0.13995288999996092,
+                    0.14018428099996072
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 7.143833105271022
+                "value": 6.652656944118854
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 4.569933645061744e-06,
-                "ram": 1.9098874689632518e-07,
+                "cpu": 5.441316936805565e-06,
+                "ram": 2.274077516288087e-07,
                 "gpu": 0.0,
-                "total": 4.760922391958069e-06
+                "total": 5.668724688434374e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 210043.33145382794
+                "value": 176406.52086001844
             }
         }
     }