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

@@ -71,14 +71,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.3504,
+            "cpu_ram_mb": 16757.354496,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
-            "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "14fc8ac8cd252f949be10158bdcefa6a3b7c596a",
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": "56d026bf244c6516d8cb780280ce7cc6505f270e",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 538.558464,
+                "max_ram": 539.68896,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -106,44 +106,44 @@
             "latency": {
                 "unit": "s",
                 "count": 14,
-                "total": 1.0234281520000081,
-                "mean": 0.07310201085714343,
-                "stdev": 0.003974653945431887,
-                "p50": 0.07369915449999098,
-                "p90": 0.07694578610000917,
-                "p95": 0.07799685440000133,
-                "p99": 0.07877671087999318,
+                "total": 1.0393606330000011,
+                "mean": 0.0742400452142858,
+                "stdev": 0.004540741848673346,
+                "p50": 0.07539032200000406,
+                "p90": 0.07718808330000967,
+                "p95": 0.07895658400000372,
+                "p99": 0.08146738319998832,
                 "values": [
-                    0.07747195100000681,
-                    0.07535564099998737,
-                    0.07571806800001468,
-                    0.07562484400000358,
-                    0.07426823099996227,
-                    0.07298690099997884,
-                    0.07167879000002131,
-                    0.07219487999998364,
-                    0.07194560700003194,
-                    0.07468548999997893,
-                    0.07897167499999114,
-                    0.0731300780000197,
-                    0.06477389000002631,
-                    0.06462210600000162
+                    0.07726662300001408,
+                    0.07584452000000397,
+                    0.0753956819999928,
+                    0.07560953999998787,
+                    0.07450694400000657,
+                    0.07700482399999942,
+                    0.07426987099998428,
+                    0.07506714800001646,
+                    0.07538496200001532,
+                    0.0769831540000041,
+                    0.08209508299998447,
+                    0.07043904500000053,
+                    0.06494150099999274,
+                    0.06455173599999853
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.67951426061601
+                "value": 13.469819382701194
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 2.5313316947884032e-06,
-                "ram": 1.0578864254077541e-07,
+                "cpu": 2.536111904515161e-06,
+                "ram": 1.0598704266705283e-07,
                 "gpu": 0.0,
-                "total": 2.6371203373291787e-06
+                "total": 2.642098947182214e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 379201.50470371766
+                "value": 378486.9605532735
             }
         }
     }