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

@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "8ef7b0420a1d5aa903d786290f7ab247769da879",
+            "optimum_benchmark_commit": "40484fbc84921b66f5da6e6dc8e14a8bfa42b562",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 6957.457408,
+                "max_ram": 6877.179904,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.42634257999998,
-                "mean": 49.42634257999998,
+                "total": 48.686915758000055,
+                "mean": 48.686915758000055,
                 "stdev": 0.0,
-                "p50": 49.42634257999998,
-                "p90": 49.42634257999998,
-                "p95": 49.42634257999998,
-                "p99": 49.42634257999998,
+                "p50": 48.686915758000055,
+                "p90": 48.686915758000055,
+                "p95": 48.686915758000055,
+                "p99": 48.686915758000055,
                 "values": [
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+                    48.686915758000055
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020232126186181594
+                "value": 0.020539399229364486
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019147617446051706,
-                "ram": 8.004252167867909e-05,
+                "cpu": 0.0018860939489470589,
+                "ram": 7.884406087352488e-05,
                 "gpu": 0.0,
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+                "total": 0.001964938009820584
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             "efficiency": {
                 "unit": "images/kWh",
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+                "value": 508.9219074607391
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     }