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": "6ccc9c44187835220f844c26c6056f5580ee256e",
+            "optimum_benchmark_commit": "78351930eda4599a64ff2da35e08ab39722c146a",
             "transformers_version": "4.46.3",
             "transformers_commit": null,
             "accelerate_version": "1.1.1",
@@ -101,7 +101,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 825.561088,
+                "max_ram": 830.451712,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -110,15 +110,15 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    1.1530108470000187
+                    1.1700249120000308
                 ],
                 "count": 1,
-                "total": 1.1530108470000187,
-                "mean": 1.1530108470000187,
-                "p50": 1.1530108470000187,
-                "p90": 1.1530108470000187,
-                "p95": 1.1530108470000187,
-                "p99": 1.1530108470000187,
+                "total": 1.1700249120000308,
+                "mean": 1.1700249120000308,
+                "p50": 1.1700249120000308,
+                "p90": 1.1700249120000308,
+                "p95": 1.1700249120000308,
+                "p99": 1.1700249120000308,
                 "stdev": 0,
                 "stdev_": 0
             },
@@ -129,7 +129,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 851.98848,
+                "max_ram": 854.102016,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -138,34 +138,34 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.5000788199999988,
-                    0.4515647150000177,
-                    0.44204184700004134
+                    0.5275605059999862,
+                    0.45707985900003223,
+                    0.45005886000001283
                 ],
                 "count": 3,
-                "total": 1.3936853820000579,
-                "mean": 0.4645617940000193,
-                "p50": 0.4515647150000177,
-                "p90": 0.4903759990000026,
-                "p95": 0.4952274095000007,
-                "p99": 0.4991085378999992,
-                "stdev": 0.025413455827555338,
-                "stdev_": 5.470414518752759
+                "total": 1.4346992250000312,
+                "mean": 0.4782330750000104,
+                "p50": 0.45707985900003223,
+                "p90": 0.5134643765999953,
+                "p95": 0.5205124412999907,
+                "p99": 0.5261508930599871,
+                "stdev": 0.034997335075046265,
+                "stdev_": 7.318049901723235
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 4.305132332944101
+                "value": 4.18206122610812
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.7747523279629508e-05,
-                "ram": 7.417466220180045e-07,
+                "cpu": 1.7484407305555346e-05,
+                "ram": 7.307488030706915e-07,
                 "gpu": 0.0,
-                "total": 1.8489269901647515e-05
+                "total": 1.8215156108626037e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 108170.84777489169
+                "value": 109798.67469007705
             }
         }
     }