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": "0.2.0",
-            "optimum_benchmark_commit": "3b17890e550ffe969ad275a1b08288c6015397d9",
+            "optimum_benchmark_commit": "b3690661eecec40c5905418f03e56991fd2bca89",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 542.441472,
+                "max_ram": 537.427968,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,43 +108,43 @@
             "latency": {
                 "unit": "s",
                 "count": 13,
-                "total": 1.0005600519999973,
-                "mean": 0.07696615784615364,
-                "stdev": 0.00318039726227355,
-                "p50": 0.07770559199997251,
-                "p90": 0.08002633240000705,
-                "p95": 0.08074806540000168,
-                "p99": 0.08134075787999677,
+                "total": 1.0338258410000094,
+                "mean": 0.07952506469230841,
+                "stdev": 0.0017600757058571068,
+                "p50": 0.07962556300000756,
+                "p90": 0.08201351280000609,
+                "p95": 0.0824769826000022,
+                "p99": 0.08265895011999533,
                 "values": [
-                    0.07911504200001218,
-                    0.07613137499998857,
-                    0.07809903599999757,
-                    0.07633577699999705,
-                    0.0779357910000158,
-                    0.07818944499999247,
-                    0.07770559199997251,
-                    0.07604196900001625,
-                    0.07666584199998283,
-                    0.0748383930000216,
-                    0.08148893099999555,
-                    0.08025415500000577,
-                    0.06775870399999917
+                    0.08031357800001615,
+                    0.07783641099999272,
+                    0.08076619199999868,
+                    0.07976516299999048,
+                    0.07989795099999242,
+                    0.07803548300000784,
+                    0.08232534300000793,
+                    0.07922567500000355,
+                    0.07735406099999409,
+                    0.07962556300000756,
+                    0.07962426999998229,
+                    0.07635170900002208,
+                    0.0827044419999936
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 12.992723399274825
+                "value": 12.574651826680237
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 2.5546184844440886e-06,
-                "ram": 1.067598482926968e-07,
+                "cpu": 2.787288692262438e-06,
+                "ram": 1.1647207441454624e-07,
                 "gpu": 0.0,
-                "total": 2.6613783327367855e-06
+                "total": 2.903760766676984e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 375745.14968402334
+                "value": 344380.9873994487
             }
         }
     }