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

@@ -3,7 +3,7 @@
         "name": "cpu_inference_timm_image-classification_timm/resnet50.a1_in1k",
         "backend": {
             "name": "pytorch",
-            "version": "2.3.0+cpu",
+            "version": "2.3.1+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
             "library": "timm",
@@ -73,23 +73,23 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.354496,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
+            "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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
-            "transformers_version": "4.41.1",
+            "optimum_benchmark_commit": "d920fe9626db1e7915f6d3574b5b54b0159cd100",
+            "transformers_version": "4.42.3",
             "transformers_commit": null,
-            "accelerate_version": "0.30.1",
+            "accelerate_version": "0.31.0",
             "accelerate_commit": null,
-            "diffusers_version": "0.27.2",
+            "diffusers_version": "0.29.2",
             "diffusers_commit": null,
             "optimum_version": null,
             "optimum_commit": null,
-            "timm_version": "1.0.3",
+            "timm_version": "1.0.7",
             "timm_commit": null,
             "peft_version": null,
             "peft_commit": null
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 542.281728,
+                "max_ram": 549.363712,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,44 +108,44 @@
             "latency": {
                 "unit": "s",
                 "count": 14,
-                "total": 1.0423920700000906,
-                "mean": 0.0744565764285779,
-                "stdev": 0.005198401745261045,
-                "p50": 0.07585850499999935,
-                "p90": 0.07860915560001161,
-                "p95": 0.08031385115001512,
-                "p99": 0.0825139550300105,
+                "total": 1.008832995999967,
+                "mean": 0.07205949971428335,
+                "stdev": 0.003660833890946578,
+                "p50": 0.07290982799999313,
+                "p90": 0.07556388790001164,
+                "p95": 0.07672983565001204,
+                "p99": 0.07810443433000358,
                 "values": [
-                    0.07801230700002293,
-                    0.07588042599999767,
-                    0.07640527099999872,
-                    0.07520669400000202,
-                    0.07756852200000708,
-                    0.07579180100000826,
-                    0.07583658400000104,
-                    0.07883301200001824,
-                    0.07808682399999611,
-                    0.08306398100000933,
-                    0.0694574930000158,
-                    0.06527221900000768,
-                    0.06522728499999175,
-                    0.06774965100001396
+                    0.07580462500001772,
+                    0.07332564299997557,
+                    0.07299985599999559,
+                    0.07237526000000116,
+                    0.074119072000002,
+                    0.07228495200001817,
+                    0.07329484499999239,
+                    0.07281979999999066,
+                    0.07500216799999748,
+                    0.07844808400000147,
+                    0.06982485499997892,
+                    0.06523528799999667,
+                    0.06823611300001176,
+                    0.06506243499998732
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.430647069292059
+                "value": 13.877420797604898
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 2.5671105417940353e-06,
-                "ram": 1.0728385176557609e-07,
+                "cpu": 2.576384693384171e-06,
+                "ram": 1.0767121705396695e-07,
                 "gpu": 0.0,
-                "total": 2.6743943935596114e-06
+                "total": 2.6840559104381377e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 373916.4284849561
+                "value": 372570.4804102843
             }
         }
     }