Upload cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub

cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json

@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "a2f76ceb4d3497d8b655e86e8345771442b69562",
+            "optimum_benchmark_commit": "90b9d6a064a5ab3f3d10643e55c9c7af485f9e6c",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 545.882112,
+                "max_ram": 545.992704,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 15.912872110000023,
-                "mean": 15.912872110000023,
+                "total": 16.26483189100003,
+                "mean": 16.26483189100003,
                 "stdev": 0.0,
-                "p50": 15.912872110000023,
-                "p90": 15.912872110000023,
-                "p95": 15.912872110000023,
-                "p99": 15.912872110000023,
+                "p50": 16.26483189100003,
+                "p90": 16.26483189100003,
+                "p95": 16.26483189100003,
+                "p99": 16.26483189100003,
                 "values": [
-                    15.912872110000023
+                    16.26483189100003
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0004853715960333325,
-                "ram": 2.0300943995237165e-05,
+                "cpu": 0.0005153560487444461,
+                "ram": 2.1555127548212317e-05,
                 "gpu": 0,
-                "total": 0.0005056725400285697
+                "total": 0.0005369111762926585
             },
             "efficiency": null
         },
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 5889.572864,
+                "max_ram": 5942.792192,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.86054793200003,
-                "mean": 49.86054793200003,
+                "total": 47.35730424600001,
+                "mean": 47.35730424600001,
                 "stdev": 0.0,
-                "p50": 49.86054793200003,
-                "p90": 49.86054793200003,
-                "p95": 49.86054793200003,
-                "p99": 49.86054793200003,
+                "p50": 47.35730424600001,
+                "p90": 47.35730424600001,
+                "p95": 47.35730424600001,
+                "p99": 47.35730424600001,
                 "values": [
-                    49.86054793200003
+                    47.35730424600001
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020055936837352913
+                "value": 0.02111606680155288
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019356218795277783,
-                "ram": 8.096004223946458e-05,
+                "cpu": 0.001854619139138891,
+                "ram": 7.757202514608072e-05,
                 "gpu": 0.0,
-                "total": 0.0020165819217672428
+                "total": 0.0019321911642849717
             },
             "efficiency": {
                 "unit": "images/kWh",
-                "value": 495.8886069570853
+                "value": 517.5471343023457
             }
         }
     }