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

@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "f85421c91b2a2b1bc0a30ceba32f9580499bf023",
+            "optimum_benchmark_commit": "9a8b29987613b8b04c221447a49b37ee314548ff",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 543.080448,
+                "max_ram": 545.640448,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,44 +108,44 @@
             "latency": {
                 "unit": "s",
                 "count": 14,
-                "total": 1.0487130620000187,
-                "mean": 0.0749080758571442,
-                "stdev": 0.005563266143040855,
-                "p50": 0.07702381299999672,
-                "p90": 0.07993425449998597,
-                "p95": 0.08108757639999169,
-                "p99": 0.08245431527999983,
+                "total": 1.0076067119999266,
+                "mean": 0.07197190799999476,
+                "stdev": 0.0037339641001450435,
+                "p50": 0.07260548799996513,
+                "p90": 0.07487131590000332,
+                "p95": 0.07642070260000366,
+                "p99": 0.07857428052002717,
                 "values": [
-                    0.0793896509999854,
-                    0.07679501499998764,
-                    0.0780206180000107,
-                    0.07685674999999037,
-                    0.07719087600000307,
-                    0.07621733400000608,
-                    0.07723664100001315,
-                    0.0777813809999941,
-                    0.08016765599998621,
-                    0.08279600000000187,
-                    0.06886322800002631,
-                    0.06592053099998907,
-                    0.0660637690000101,
-                    0.06541361200001461
+                    0.07497117899998784,
+                    0.07270421299995178,
+                    0.0746383020000394,
+                    0.07250676299997849,
+                    0.0732225529999937,
+                    0.07205960599998207,
+                    0.07242104300001984,
+                    0.07284901399998489,
+                    0.0740944649999733,
+                    0.07911267500003305,
+                    0.07209283899999264,
+                    0.06571627499999977,
+                    0.06583808999999974,
+                    0.06537969499999008
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.349695457497553
+                "value": 13.894309985502577
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 2.600348790486654e-06,
-                "ram": 1.086613520606079e-07,
+                "cpu": 2.5675492154227362e-06,
+                "ram": 1.0730189299330561e-07,
                 "gpu": 0.0,
-                "total": 2.7090101425472616e-06
+                "total": 2.674851108416042e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 369138.5219620136
+                "value": 373852.58448727895
             }
         }
     }