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

@@ -6,19 +6,17 @@
             "version": "2.3.0+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
-            "model": "google/vit-base-patch16-224",
             "library": "transformers",
+            "model": "google/vit-base-patch16-224",
+            "processor": "google/vit-base-patch16-224",
             "device": "cpu",
             "device_ids": null,
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
-            "hub_kwargs": {
-                "revision": "main",
-                "force_download": false,
-                "local_files_only": false,
-                "trust_remote_code": false
-            },
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
             "no_weights": true,
             "device_map": null,
             "torch_dtype": null,
@@ -73,14 +71,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.338112,
+            "cpu_ram_mb": 16757.354496,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
+            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
+            "optimum_benchmark_commit": "6fd377459e287bb09e9383ba2516b1b2a271a562",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +97,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 795.283456,
+                "max_ram": 798.711808,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,34 +106,34 @@
             "latency": {
                 "unit": "s",
                 "count": 4,
-                "total": 1.1651409320000425,
-                "mean": 0.29128523300001063,
-                "stdev": 0.011655637708947399,
-                "p50": 0.29692046700000674,
-                "p90": 0.299744849900037,
-                "p95": 0.29979450395003937,
-                "p99": 0.29983422719004127,
+                "total": 1.1454697629999941,
+                "mean": 0.28636744074999854,
+                "stdev": 0.013911491336067337,
+                "p50": 0.29191292600000907,
+                "p90": 0.2968462741000167,
+                "p95": 0.2978549690500131,
+                "p99": 0.2986619250100102,
                 "values": [
-                    0.2943278029999874,
-                    0.2995131310000261,
-                    0.2998441580000417,
-                    0.27145583999998735
+                    0.2916868209999848,
+                    0.29213903100003336,
+                    0.2988636640000095,
+                    0.2627802469999665
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.4330610917030713
+                "value": 3.4920171000620472
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.0235568881034852e-05,
-                "ram": 4.277668870819203e-07,
+                "cpu": 1.0519333349333872e-05,
+                "ram": 4.396313898431714e-07,
                 "gpu": 0.0,
-                "total": 1.0663335768116772e-05
+                "total": 1.0958964739177043e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 93779.28462029548
+                "value": 91249.49516673911
             }
         }
     }