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

@@ -17,7 +17,6 @@
             "intra_op_num_threads": null,
             "model_kwargs": {},
             "processor_kwargs": {},
-            "hub_kwargs": {},
             "no_weights": false,
             "device_map": null,
             "torch_dtype": null,
@@ -74,14 +73,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "e291e9b18cfb323457af60f15f2bb33803718668",
+            "optimum_benchmark_commit": "dcd8d39eb1efde5484c10fe67e911bfe5a0711c9",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -100,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 548.683776,
+                "max_ram": 551.940096,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -109,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 30.423259194999957,
-                "mean": 30.423259194999957,
+                "total": 23.551284392000014,
+                "mean": 23.551284392000014,
                 "stdev": 0.0,
-                "p50": 30.423259194999957,
-                "p90": 30.423259194999957,
-                "p95": 30.423259194999957,
-                "p99": 30.423259194999957,
+                "p50": 23.551284392000014,
+                "p90": 23.551284392000014,
+                "p95": 23.551284392000014,
+                "p99": 23.551284392000014,
                 "values": [
-                    30.423259194999957
+                    23.551284392000014
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0010648372610410056,
-                "ram": 4.451306519350378e-05,
+                "cpu": 0.0007880420313941108,
+                "ram": 3.294215771679432e-05,
                 "gpu": 0,
-                "total": 0.0011093503262345093
+                "total": 0.0008209841891109052
             },
             "efficiency": null
         },
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 5988.10624,
+                "max_ram": 5940.49024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -142,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 48.69238424299999,
-                "mean": 48.69238424299999,
+                "total": 49.806264337000016,
+                "mean": 49.806264337000016,
                 "stdev": 0.0,
-                "p50": 48.69238424299999,
-                "p90": 48.69238424299999,
-                "p95": 48.69238424299999,
-                "p99": 48.69238424299999,
+                "p50": 49.806264337000016,
+                "p90": 49.806264337000016,
+                "p95": 49.806264337000016,
+                "p99": 49.806264337000016,
                 "values": [
-                    48.69238424299999
+                    49.806264337000016
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.02053709251552536
+                "value": 0.020077795701235142
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.001889517684777578,
-                "ram": 7.898716793787202e-05,
+                "cpu": 0.0019422404739591812,
+                "ram": 8.11911175969999e-05,
                 "gpu": 0.0,
-                "total": 0.00196850485271545
+                "total": 0.0020234315915561812
             },
             "efficiency": {
                 "unit": "images/kWh",
-                "value": 507.99976368895
+                "value": 494.20993730305446
             }
         }
     }