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": "78351930eda4599a64ff2da35e08ab39722c146a",
+            "optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
             "transformers_version": "4.46.3",
             "transformers_commit": null,
             "accelerate_version": "1.1.1",
@@ -101,7 +101,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 800.083968,
+                "max_ram": 828.08832,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -110,15 +110,15 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    1.287971827999968
+                    1.1592019159999722
                 ],
                 "count": 1,
-                "total": 1.287971827999968,
-                "mean": 1.287971827999968,
-                "p50": 1.287971827999968,
-                "p90": 1.287971827999968,
-                "p95": 1.287971827999968,
-                "p99": 1.287971827999968,
+                "total": 1.1592019159999722,
+                "mean": 1.1592019159999722,
+                "p50": 1.1592019159999722,
+                "p90": 1.1592019159999722,
+                "p95": 1.1592019159999722,
+                "p99": 1.1592019159999722,
                 "stdev": 0,
                 "stdev_": 0
             },
@@ -129,7 +129,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 844.316672,
+                "max_ram": 854.319104,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -138,33 +138,34 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.6160141130000056,
-                    0.4380453820000412
+                    0.5152714120000041,
+                    0.4500078240000107,
+                    0.45246847099997467
                 ],
-                "count": 2,
-                "total": 1.0540594950000468,
-                "mean": 0.5270297475000234,
-                "p50": 0.5270297475000234,
-                "p90": 0.5982172399000092,
-                "p95": 0.6071156764500074,
-                "p99": 0.614234425690006,
-                "stdev": 0.08898436549998223,
-                "stdev_": 16.884125786462988
+                "count": 3,
+                "total": 1.4177477069999895,
+                "mean": 0.4725825689999965,
+                "p50": 0.45246847099997467,
+                "p90": 0.5027108237999982,
+                "p95": 0.5089911179000012,
+                "p99": 0.5140153531800036,
+                "stdev": 0.03020228118784058,
+                "stdev_": 6.390900377842926
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.79485220613645
+                "value": 4.232064682859716
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.7119636151851492e-05,
-                "ram": 7.155063897432651e-07,
+                "cpu": 1.763718453518537e-05,
+                "ram": 7.3713506159187e-07,
                 "gpu": 0.0,
-                "total": 1.7835142541594757e-05
+                "total": 1.837431959677724e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 112138.15618998506
+                "value": 108847.56790399954
             }
         }
     }