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": "2.3.1+cpu",
+            "version": "2.4.0+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
             "library": "timm",
@@ -76,14 +76,14 @@
             "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
+            "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "328b924ef0be0164f0dc86652abfd3746f634c6b",
+            "optimum_benchmark_commit": "b0801269b3611e452bb077a62163b08a99ceb2a9",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
-            "accelerate_version": "0.32.1",
+            "accelerate_version": "0.33.0",
             "accelerate_commit": null,
             "diffusers_version": "0.29.2",
             "diffusers_commit": null,
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 525.422592,
+                "max_ram": 532.484096,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 3.2691779130000214,
-                "mean": 3.2691779130000214,
+                "total": 3.363386931000008,
+                "mean": 3.363386931000008,
                 "stdev": 0.0,
-                "p50": 3.2691779130000214,
-                "p90": 3.2691779130000214,
-                "p95": 3.2691779130000214,
-                "p99": 3.2691779130000214,
+                "p50": 3.363386931000008,
+                "p90": 3.363386931000008,
+                "p95": 3.363386931000008,
+                "p99": 3.363386931000008,
                 "values": [
-                    3.2691779130000214
+                    3.363386931000008
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 9.835802184210884e-06,
-                "ram": 4.107577368927195e-07,
+                "cpu": 9.882411691877578e-06,
+                "ram": 4.127189493715377e-07,
                 "gpu": 0,
-                "total": 1.0246559921103604e-05
+                "total": 1.0295130641249114e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 555.118592,
+                "max_ram": 561.467392,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,42 +141,42 @@
             "latency": {
                 "unit": "s",
                 "count": 12,
-                "total": 1.0112028910000106,
-                "mean": 0.08426690758333422,
-                "stdev": 0.005158847780911765,
-                "p50": 0.08603284099999087,
-                "p90": 0.08792137689998754,
-                "p95": 0.09058987414998682,
-                "p99": 0.09313062202998935,
+                "total": 1.016557898000002,
+                "mean": 0.08471315816666684,
+                "stdev": 0.0035291515382815824,
+                "p50": 0.08419229550000296,
+                "p90": 0.09018126480000888,
+                "p95": 0.09079880340001267,
+                "p99": 0.09095906548001693,
                 "values": [
-                    0.08729133100001718,
-                    0.0860050240000021,
-                    0.08606065799997964,
-                    0.08714233200001331,
-                    0.08532821800000079,
-                    0.08687597400000868,
-                    0.08799138199998424,
-                    0.09376580899998999,
-                    0.08046949299998118,
-                    0.07688485500000297,
-                    0.07686793300001682,
-                    0.0765198820000137
+                    0.08416028499999584,
+                    0.08560781799999972,
+                    0.08323807799999372,
+                    0.0860985570000139,
+                    0.0842005810000046,
+                    0.08418401000000131,
+                    0.08559350199999471,
+                    0.08397819399999662,
+                    0.090999131000018,
+                    0.09063489900000832,
+                    0.07962507599998503,
+                    0.0782377669999903
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.867054679929582
+                "value": 11.804541604181187
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 3.0008303813445265e-06,
-                "ram": 1.2541035508574027e-07,
+                "cpu": 3.06316491885063e-06,
+                "ram": 1.2801434317767556e-07,
                 "gpu": 0.0,
-                "total": 3.126240736430267e-06
+                "total": 3.1911792620283053e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 319872.9990134609
+                "value": 313363.78118865145
             }
         }
     }