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

@@ -3,7 +3,7 @@
         "name": "cpu_inference_transformers_image-classification_google/vit-base-patch16-224",
         "backend": {
             "name": "pytorch",
-            "version": "2.4.0+cpu",
+            "version": "2.4.1+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
             "library": "transformers",
@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "505086556c6e125f92759cd19b806135534e5ab3",
+            "optimum_benchmark_commit": "ea76e356b5c355783ee27d2d429a010ded791f8b",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 812.118016,
+                "max_ram": 809.377792,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 4.404794174000017,
-                "mean": 4.404794174000017,
+                "total": 4.348420954999995,
+                "mean": 4.348420954999995,
                 "stdev": 0.0,
-                "p50": 4.404794174000017,
-                "p90": 4.404794174000017,
-                "p95": 4.404794174000017,
-                "p99": 4.404794174000017,
+                "p50": 4.348420954999995,
+                "p90": 4.348420954999995,
+                "p95": 4.348420954999995,
+                "p99": 4.348420954999995,
                 "values": [
-                    4.404794174000017
+                    4.348420954999995
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 4.638562732222182e-05,
-                "ram": 1.9385944720704513e-06,
+                "cpu": 4.543861692222196e-05,
+                "ram": 1.899090052173262e-06,
                 "gpu": 0,
-                "total": 4.8324221794292276e-05
+                "total": 4.733770697439522e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 830.537728,
+                "max_ram": 827.817984,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,34 +141,34 @@
             "latency": {
                 "unit": "s",
                 "count": 4,
-                "total": 1.0050538250000045,
-                "mean": 0.2512634562500011,
-                "stdev": 0.01037604789486341,
-                "p50": 0.25636227199998984,
-                "p90": 0.25855052330001627,
-                "p95": 0.25870545515002163,
-                "p99": 0.2588294006300259,
+                "total": 1.002038495000022,
+                "mean": 0.2505096237500055,
+                "stdev": 0.012468017356514705,
+                "p50": 0.2562477745000251,
+                "p90": 0.2599735136999925,
+                "p95": 0.25997608034998054,
+                "p99": 0.2599781336699709,
                 "values": [
-                    0.2578275079999912,
-                    0.258860387000027,
-                    0.2548970359999885,
-                    0.23346889399999782
+                    0.25997864699996853,
+                    0.25996153600004845,
+                    0.2525340130000018,
+                    0.2295642990000033
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.9798863508628326
+                "value": 3.99186260803275
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 9.033320986666683e-06,
-                "ram": 3.775305348473667e-07,
+                "cpu": 9.069214668889016e-06,
+                "ram": 3.7903234033188243e-07,
                 "gpu": 0.0,
-                "total": 9.41085152151405e-06
+                "total": 9.4482470092209e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 106260.30999574378
+                "value": 105839.73926846561
             }
         }
     }