Upload cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub

cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json

@@ -73,14 +73,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.346304,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "c08a62a8b686d201c33b94256f220dd9ac7afa59",
+            "optimum_benchmark_commit": "4aa72a2fd35e7d46a674935ffaf335b1c0795600",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 797.618176,
+                "max_ram": 795.328512,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,34 +108,34 @@
             "latency": {
                 "unit": "s",
                 "count": 4,
-                "total": 1.188757149999958,
-                "mean": 0.2971892874999895,
-                "stdev": 0.0070780351553089565,
-                "p50": 0.2993711339999834,
-                "p90": 0.30356168169999476,
-                "p95": 0.3035747273499993,
-                "p99": 0.30358516387000295,
+                "total": 1.1604050970000799,
+                "mean": 0.29010127425001997,
+                "stdev": 0.009505960101239427,
+                "p50": 0.29483925699997826,
+                "p90": 0.29640209860001504,
+                "p95": 0.2967096433000279,
+                "p99": 0.29695567906003817,
                 "values": [
-                    0.30358777300000384,
-                    0.2952414659999931,
-                    0.30350080199997365,
-                    0.28642710899998747
+                    0.29496688999995513,
+                    0.2947116240000014,
+                    0.29701718800004073,
+                    0.2737093950000826
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.3648588359701064
+                "value": 3.447072070211464
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 9.950346416897244e-06,
-                "ram": 4.1583402144510725e-07,
+                "cpu": 1.0110125607914396e-05,
+                "ram": 4.2252647161371706e-07,
                 "gpu": 0.0,
-                "total": 1.0366180438342352e-05
+                "total": 1.0532652079528113e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 96467.54713059087
+                "value": 94942.8493839324
             }
         }
     }