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

@@ -78,7 +78,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "2db7e171d23768cdeb341987283e17e0b2db9bd9",
+            "optimum_benchmark_commit": "b92e3e6e00670fa1351d9aef1be896254e5f33e0",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 538.607616,
+                "max_ram": 542.797824,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -105,45 +105,44 @@
             },
             "latency": {
                 "unit": "s",
-                "count": 14,
-                "total": 1.0126400720000106,
-                "mean": 0.07233143371428648,
-                "stdev": 0.0030985870914638654,
-                "p50": 0.07240499150000801,
-                "p90": 0.07553334849998238,
-                "p95": 0.07670239224997885,
-                "p99": 0.07775462004998872,
+                "count": 13,
+                "total": 1.055449977999956,
+                "mean": 0.08118845984615046,
+                "stdev": 0.015367017396567366,
+                "p50": 0.07607883899999024,
+                "p90": 0.10950156400000426,
+                "p95": 0.11502682820000701,
+                "p99": 0.11515665044000344,
                 "values": [
-                    0.07445811700000604,
-                    0.07291608899998892,
-                    0.07228606500001433,
-                    0.07227149800002053,
-                    0.0725870459999669,
-                    0.07416423900002656,
-                    0.07113409600003706,
-                    0.07252391800000169,
-                    0.07191287900002408,
-                    0.07195719099996722,
-                    0.07599416199997222,
-                    0.07801767699999118,
-                    0.06755173300001616,
-                    0.06486536199997772
+                    0.07784332500000346,
+                    0.07653435200001013,
+                    0.07499130099998297,
+                    0.07590920099997334,
+                    0.07607883899999024,
+                    0.07815861599999607,
+                    0.07551459199999044,
+                    0.08783324799998127,
+                    0.11491864300000998,
+                    0.11518910600000254,
+                    0.06873300500001278,
+                    0.06645558900001447,
+                    0.0672901609999883
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.825247871486416
+                "value": 12.317021432540635
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 2.553215540117688e-06,
-                "ram": 1.0670365124031633e-07,
+                "cpu": 2.5850944221019746e-06,
+                "ram": 1.0803403546839619e-07,
                 "gpu": 0.0,
-                "total": 2.6599191913580044e-06
+                "total": 2.6931284575703707e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 375951.2707186629
+                "value": 371315.3738318739
             }
         }
     }