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": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "156844ab796ad7cf3da92a0bf30b174d1bcc0aa5",
+            "optimum_benchmark_commit": "88e73025c13ec1a964328bd3aa8fa3b1b8ab2582",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 808.738816,
+                "max_ram": 796.274688,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,34 +108,34 @@
             "latency": {
                 "unit": "s",
                 "count": 4,
-                "total": 1.0088114919999498,
-                "mean": 0.25220287299998745,
-                "stdev": 0.013582945695912948,
-                "p50": 0.2595937614999855,
-                "p90": 0.26062906529999735,
-                "p95": 0.26077693814999636,
-                "p99": 0.2608952364299955,
+                "total": 1.0633149309999794,
+                "mean": 0.26582873274999486,
+                "stdev": 0.012744559285961224,
+                "p50": 0.27197377600001005,
+                "p90": 0.2750165819999836,
+                "p95": 0.2751528989999798,
+                "p99": 0.27526195259997677,
                 "values": [
-                    0.25993899200000214,
-                    0.2609248109999953,
-                    0.2592485309999688,
-                    0.22869915799998353
+                    0.275289215999976,
+                    0.2743804360000013,
+                    0.2695671160000188,
+                    0.2440781629999833
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.9650618888867686
+                "value": 3.761820588974761
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 8.897357251909047e-06,
-                "ram": 3.718471129040116e-07,
+                "cpu": 9.031700558132595e-06,
+                "ram": 3.774610000991743e-07,
                 "gpu": 0.0,
-                "total": 9.269204364813057e-06
+                "total": 9.40916155823177e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 107884.12474711557
+                "value": 106279.39522678644
             }
         }
     }