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": 16757.346304,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "ba7db8be4ae5965d5e6183075f0edd30672dab7b",
+            "optimum_benchmark_commit": "646643b121045387ff03e098548c9336e842d8f3",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1162.780672,
+                "max_ram": 1162.657792,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 4.865340489000005,
-                "mean": 4.865340489000005,
+                "total": 4.8658492899999715,
+                "mean": 4.8658492899999715,
                 "stdev": 0.0,
-                "p50": 4.865340489000005,
-                "p90": 4.865340489000005,
-                "p95": 4.865340489000005,
-                "p99": 4.865340489000005,
+                "p50": 4.8658492899999715,
+                "p90": 4.8658492899999715,
+                "p95": 4.8658492899999715,
+                "p99": 4.8658492899999715,
                 "values": [
-                    4.865340489000005
+                    4.8658492899999715
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 6.900449064042834e-05,
-                "ram": 2.8842179150495897e-06,
+                "cpu": 6.8621916241116e-05,
+                "ram": 2.8682368166801095e-06,
                 "gpu": 0,
-                "total": 7.188870855547794e-05
+                "total": 7.14901530577961e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1190.969344,
+                "max_ram": 1190.907904,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,37 +141,37 @@
             "latency": {
                 "unit": "s",
                 "count": 7,
-                "total": 1.0769140519999496,
-                "mean": 0.15384486457142138,
-                "stdev": 0.00872309327574884,
-                "p50": 0.1596440609999945,
-                "p90": 0.16104595060000976,
-                "p95": 0.16129070680000837,
-                "p99": 0.16148651176000725,
+                "total": 1.081070177000072,
+                "mean": 0.154438596714296,
+                "stdev": 0.016447011689142196,
+                "p50": 0.15693171399999528,
+                "p90": 0.1712024924000275,
+                "p95": 0.17955489020002344,
+                "p99": 0.18623680844002022,
                 "values": [
-                    0.15412525499999674,
-                    0.1607196090000116,
-                    0.1596440609999945,
-                    0.15988368799997943,
-                    0.16153546300000698,
-                    0.140343219999977,
-                    0.14066275599998335
+                    0.16006596200003287,
+                    0.15693171399999528,
+                    0.15887943300003826,
+                    0.18790728800001943,
+                    0.14160605400002169,
+                    0.13766367699997772,
+                    0.13801604899998665
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.50005447231394
+                "value": 6.475065309288921
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.522911416159736e-06,
-                "ram": 2.308193584179937e-07,
+                "cpu": 5.1671894060240855e-06,
+                "ram": 2.1595085989375205e-07,
                 "gpu": 0.0,
-                "total": 5.7537307745777295e-06
+                "total": 5.383140265917837e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 173800.27658200444
+                "value": 185765.176198599
             }
         }
     }