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

@@ -7,6 +7,7 @@
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
             "library": "transformers",
+            "model_type": "vit",
             "model": "google/vit-base-patch16-224",
             "processor": "google/vit-base-patch16-224",
             "device": "cpu",
@@ -73,14 +74,14 @@
         "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-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "c31e63ddb94c29460ba90ff599147e94ff80543a",
+            "optimum_benchmark_commit": "402644384abc46743e46dac65be6512bc68c9d92",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -99,7 +100,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 802.828288,
+                "max_ram": 815.3088,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,34 +109,34 @@
             "latency": {
                 "unit": "s",
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-                "mean": 0.25907129374999727,
-                "stdev": 0.017010260846631847,
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-                "p90": 0.2771964621000279,
-                "p95": 0.2782600645500281,
-                "p99": 0.27911094651002827,
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+                "mean": 0.2846494842500107,
+                "stdev": 0.08595123954536603,
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+                "p90": 0.3759389321000242,
+                "p95": 0.40463555855003214,
+                "p99": 0.4275928597100386,
                 "values": [
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+                    0.4333321850000402,
+                    0.24202134199998682,
+                    0.23040285799999083,
+                    0.23284155200002488
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             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.859941352533623
+                "value": 3.51309261154919
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             "energy": {
                 "unit": "kWh",
-                "cpu": 8.959215217166478e-06,
-                "ram": 3.7443157172066323e-07,
+                "cpu": 8.96967199113634e-06,
+                "ram": 3.7486832371314443e-07,
                 "gpu": 0.0,
-                "total": 9.333646788887141e-06
+                "total": 9.344540314849485e-06
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             "efficiency": {
                 "unit": "samples/kWh",
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+                "value": 107014.35986218519
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     }