Upload cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub

cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json

@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.5.0.dev0",
-            "optimum_benchmark_commit": "a0fa44f89e357c39216a81807cac957ae2b66da0",
+            "optimum_benchmark_commit": "b57934517e8262852ccb8572a0e7818777034455",
             "transformers_version": "4.46.3",
             "transformers_commit": null,
             "accelerate_version": "1.1.1",
@@ -101,7 +101,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 803.807232,
+                "max_ram": 830.038016,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -110,15 +110,15 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    1.1205772050000178
+                    1.148449577000008
                 ],
                 "count": 1,
-                "total": 1.1205772050000178,
-                "mean": 1.1205772050000178,
-                "p50": 1.1205772050000178,
-                "p90": 1.1205772050000178,
-                "p95": 1.1205772050000178,
-                "p99": 1.1205772050000178,
+                "total": 1.148449577000008,
+                "mean": 1.148449577000008,
+                "p50": 1.148449577000008,
+                "p90": 1.148449577000008,
+                "p95": 1.148449577000008,
+                "p99": 1.148449577000008,
                 "stdev": 0,
                 "stdev_": 0
             },
@@ -129,7 +129,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 841.150464,
+                "max_ram": 856.141824,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -138,34 +138,34 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.5101612539999678,
-                    0.44678710300001967,
-                    0.4396874020000041
+                    0.516801914000041,
+                    0.4502397289999749,
+                    0.4379174229999876
                 ],
                 "count": 3,
-                "total": 1.3966357589999916,
-                "mean": 0.4655452529999972,
-                "p50": 0.44678710300001967,
-                "p90": 0.4974864237999782,
-                "p95": 0.503823838899973,
-                "p99": 0.5088937709799688,
-                "stdev": 0.03168114157764773,
-                "stdev_": 6.805169072929612
+                "total": 1.4049590660000035,
+                "mean": 0.46831968866666784,
+                "p50": 0.4502397289999749,
+                "p90": 0.5034894770000278,
+                "p95": 0.5101456955000344,
+                "p99": 0.5154706703000397,
+                "stdev": 0.034649236992525645,
+                "stdev_": 7.398629148215815
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 4.296037790337026
+                "value": 4.270587054954087
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.7199320794444962e-05,
-                "ram": 7.188355165682632e-07,
+                "cpu": 1.6870034312963376e-05,
+                "ram": 7.050641976435636e-07,
                 "gpu": 0.0,
-                "total": 1.7918156311013222e-05
+                "total": 1.7575098510606936e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 111618.62667593313
+                "value": 113797.37068289879
             }
         }
     }