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

@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "d7339efdbbcababd22ca2f563771622060764f8f",
+            "optimum_benchmark_commit": "c08a62a8b686d201c33b94256f220dd9ac7afa59",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 795.774976,
+                "max_ram": 797.618176,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,34 +108,34 @@
             "latency": {
                 "unit": "s",
                 "count": 4,
-                "total": 1.1652313640000784,
-                "mean": 0.2913078410000196,
-                "stdev": 0.011488407250841973,
-                "p50": 0.29606592800001863,
-                "p90": 0.2998419897000474,
-                "p95": 0.30058848135005006,
-                "p99": 0.3011856746700522,
+                "total": 1.188757149999958,
+                "mean": 0.2971892874999895,
+                "stdev": 0.0070780351553089565,
+                "p50": 0.2993711339999834,
+                "p90": 0.30356168169999476,
+                "p95": 0.3035747273499993,
+                "p99": 0.30358516387000295,
                 "values": [
-                    0.29635836200003496,
-                    0.2957734940000023,
-                    0.30133497300005274,
-                    0.2717645349999884
+                    0.30358777300000384,
+                    0.2952414659999931,
+                    0.30350080199997365,
+                    0.28642710899998747
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.432794656563785
+                "value": 3.3648588359701064
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.0327392485406664e-05,
-                "ram": 4.31602014738246e-07,
+                "cpu": 9.950346416897244e-06,
+                "ram": 4.1583402144510725e-07,
                 "gpu": 0.0,
-                "total": 1.075899450014491e-05
+                "total": 1.0366180438342352e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 92945.48853859265
+                "value": 96467.54713059087
             }
         }
     }