Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub

cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json

@@ -7,6 +7,7 @@
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
             "library": "timm",
+            "model_type": "resnet50",
             "model": "timm/resnet50.a1_in1k",
             "processor": "timm/resnet50.a1_in1k",
             "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": 554.074112,
+                "max_ram": 549.445632,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,42 +109,42 @@
             "latency": {
                 "unit": "s",
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-                "p95": 0.10898774449998283,
-                "p99": 0.12325513609997615,
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+                "p50": 0.08570103950000885,
+                "p90": 0.09373562999996352,
+                "p95": 0.09560260294997817,
+                "p99": 0.0972504781899994,
                 "values": [
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             "throughput": {
                 "unit": "samples/s",
-                "value": 11.37343132209143
+                "value": 11.656916976732676
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             "energy": {
                 "unit": "kWh",
-                "cpu": 3.0607699329017574e-06,
-                "ram": 1.2790835038747272e-07,
+                "cpu": 3.032528640877488e-06,
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                 "gpu": 0.0,
-                "total": 3.18867828328923e-06
+                "total": 3.1592598478214916e-06
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             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 313609.5620686029
+                "value": 316529.83552130504
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     }