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

@@ -3,7 +3,7 @@
         "name": "cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4",
         "backend": {
             "name": "pytorch",
-            "version": "2.3.0+cpu",
+            "version": "2.3.1+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "stable-diffusion",
             "library": "diffusers",
@@ -73,23 +73,23 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.354496,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
+            "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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
-            "transformers_version": "4.41.1",
+            "optimum_benchmark_commit": "d920fe9626db1e7915f6d3574b5b54b0159cd100",
+            "transformers_version": "4.42.3",
             "transformers_commit": null,
-            "accelerate_version": "0.30.1",
+            "accelerate_version": "0.31.0",
             "accelerate_commit": null,
-            "diffusers_version": "0.27.2",
+            "diffusers_version": "0.29.2",
             "diffusers_commit": null,
             "optimum_version": null,
             "optimum_commit": null,
-            "timm_version": "1.0.3",
+            "timm_version": "1.0.7",
             "timm_commit": null,
             "peft_version": null,
             "peft_commit": null
@@ -99,7 +99,7 @@
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 7043.403776,
+                "max_ram": 6904.532992,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.56003420899992,
-                "mean": 49.56003420899992,
+                "total": 49.36309923300007,
+                "mean": 49.36309923300007,
                 "stdev": 0.0,
-                "p50": 49.56003420899992,
-                "p90": 49.56003420899992,
-                "p95": 49.56003420899992,
-                "p99": 49.56003420899992,
+                "p50": 49.36309923300007,
+                "p90": 49.36309923300007,
+                "p95": 49.36309923300007,
+                "p99": 49.36309923300007,
                 "values": [
-                    49.56003420899992
+                    49.36309923300007
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.0201775486228055
+                "value": 0.020258047317488585
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019127149687872993,
-                "ram": 7.995698754128512e-05,
+                "cpu": 0.0019098074515660605,
+                "ram": 7.983529716775972e-05,
                 "gpu": 0.0,
-                "total": 0.0019926719563285846
+                "total": 0.0019896427487338204
             },
             "efficiency": {
                 "unit": "images/kWh",
-                "value": 501.83874813115676
+                "value": 502.602791700362
             }
         }
     }