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": "7c1c92eb7fe6a1466152b84a3e74c940c2382134",
+            "optimum_benchmark_commit": "3d7258bc53700ac83eb355d4dbbeac8dec4eb496",
             "transformers_version": "4.43.3",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 557.3632,
+                "max_ram": 558.096384,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 19.880673153999965,
-                "mean": 19.880673153999965,
+                "total": 19.483760440000083,
+                "mean": 19.483760440000083,
                 "stdev": 0.0,
-                "p50": 19.880673153999965,
-                "p90": 19.880673153999965,
-                "p95": 19.880673153999965,
-                "p99": 19.880673153999965,
+                "p50": 19.483760440000083,
+                "p90": 19.483760440000083,
+                "p95": 19.483760440000083,
+                "p99": 19.483760440000083,
                 "values": [
-                    19.880673153999965
+                    19.483760440000083
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0006410391675101387,
-                "ram": 2.6796899961944972e-05,
+                "cpu": 0.0006338411278194851,
+                "ram": 2.649602051074794e-05,
                 "gpu": 0,
-                "total": 0.0006678360674720837
+                "total": 0.0006603371483302331
             },
             "efficiency": null
         },
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 5902.229504,
+                "max_ram": 6001.053696,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.2183502339999,
-                "mean": 49.2183502339999,
+                "total": 48.86072923100005,
+                "mean": 48.86072923100005,
                 "stdev": 0.0,
-                "p50": 49.2183502339999,
-                "p90": 49.2183502339999,
-                "p95": 49.2183502339999,
-                "p99": 49.2183502339999,
+                "p50": 48.86072923100005,
+                "p90": 48.86072923100005,
+                "p95": 48.86072923100005,
+                "p99": 48.86072923100005,
                 "values": [
-                    49.2183502339999
+                    48.86072923100005
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020317625341883215
+                "value": 0.020466333919665337
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019070096850395204,
-                "ram": 7.97184497357091e-05,
+                "cpu": 0.0019025225996971132,
+                "ram": 7.953088146722848e-05,
                 "gpu": 0.0,
-                "total": 0.0019867281347752297
+                "total": 0.0019820534811643416
             },
             "efficiency": {
                 "unit": "images/kWh",
-                "value": 503.3401311916972
+                "value": 504.52725393290496
             }
         }
     }