Upload cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub

cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json

@@ -79,8 +79,8 @@
             "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
-            "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "3731aa19b0b76022fb42f78436721c579f50c777",
+            "optimum_benchmark_version": "0.3.0",
+            "optimum_benchmark_commit": "748abd0c7ac21cfb1798768cad39007b466ce8e8",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 6940.85632,
+                "max_ram": 6890.418176,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 48.801176244999965,
-                "mean": 48.801176244999965,
+                "total": 49.204103879999934,
+                "mean": 49.204103879999934,
                 "stdev": 0.0,
-                "p50": 48.801176244999965,
-                "p90": 48.801176244999965,
-                "p95": 48.801176244999965,
-                "p99": 48.801176244999965,
+                "p50": 49.204103879999934,
+                "p90": 49.204103879999934,
+                "p95": 49.204103879999934,
+                "p99": 49.204103879999934,
                 "values": [
-                    48.801176244999965
+                    49.204103879999934
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.02049130936884861
+                "value": 0.020323508023615718
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019019608100255333,
-                "ram": 7.950745428030018e-05,
+                "cpu": 0.0019202981697188485,
+                "ram": 8.027385503233403e-05,
                 "gpu": 0.0,
-                "total": 0.0019814682643058334
+                "total": 0.0020005720247511824
             },
             "efficiency": {
                 "unit": "images/kWh",
-                "value": 504.67626356374143
+                "value": 499.8570347020489
             }
         }
     }