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": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "789d9c2ca36ce9adc1c7d5a4e3c06eba2fa75fdc",
+            "optimum_benchmark_commit": "64616c22a81fbd56113ffbadbf137b852c35ed9d",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 556.900352,
+                "max_ram": 556.949504,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 25.199759287000006,
-                "mean": 25.199759287000006,
+                "total": 17.62810777599998,
+                "mean": 17.62810777599998,
                 "stdev": 0.0,
-                "p50": 25.199759287000006,
-                "p90": 25.199759287000006,
-                "p95": 25.199759287000006,
-                "p99": 25.199759287000006,
+                "p50": 17.62810777599998,
+                "p90": 17.62810777599998,
+                "p95": 17.62810777599998,
+                "p99": 17.62810777599998,
                 "values": [
-                    25.199759287000006
+                    17.62810777599998
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0008630384958999998,
-                "ram": 3.607726252140132e-05,
+                "cpu": 0.00056235816812778,
+                "ram": 2.3507916987457115e-05,
                 "gpu": 0,
-                "total": 0.0008991157584214011
+                "total": 0.0005858660851152371
             },
             "efficiency": null
         },
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 5977.329664,
+                "max_ram": 6003.924992,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 48.81765667400009,
-                "mean": 48.81765667400009,
+                "total": 49.31698064099999,
+                "mean": 49.31698064099999,
                 "stdev": 0.0,
-                "p50": 48.81765667400009,
-                "p90": 48.81765667400009,
-                "p95": 48.81765667400009,
-                "p99": 48.81765667400009,
+                "p50": 49.31698064099999,
+                "p90": 49.31698064099999,
+                "p95": 49.31698064099999,
+                "p99": 49.31698064099999,
                 "values": [
-                    48.81765667400009
+                    49.31698064099999
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020484391675698606
+                "value": 0.02027699155549364
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019008672812500021,
-                "ram": 7.946161179269125e-05,
+                "cpu": 0.0019170728521388882,
+                "ram": 8.013913611071577e-05,
                 "gpu": 0.0,
-                "total": 0.0019803288930426936
+                "total": 0.001997211988249604
             },
             "efficiency": {
                 "unit": "images/kWh",
-                "value": 504.96662625749065
+                "value": 500.69797592013236
             }
         }
     }