Upload cuda_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub

cuda_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cuda_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4",
         "backend": {
             "name": "pytorch",
-            "version": "2.2.2",
+            "version": "2.3.0+cu121",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "stable-diffusion",
             "model": "CompVis/stable-diffusion-v1-4",
@@ -78,7 +78,7 @@
             "machine": "x86_64",
             "platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
             "processor": "x86_64",
-            "python_version": "3.10.14",
+            "python_version": "3.10.12",
             "gpu": [
                 "NVIDIA A10G"
             ],
@@ -104,41 +104,41 @@
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1317.203968,
-                "max_global_vram": 8150.05696,
+                "max_ram": 1316.27008,
+                "max_global_vram": 8173.125632,
                 "max_process_vram": 0.0,
-                "max_reserved": 7495.221248,
-                "max_allocated": 6531.774464
+                "max_reserved": 7518.28992,
+                "max_allocated": 6527.82592
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.3091512451171874,
-                "mean": 0.6545756225585937,
-                "stdev": 0.0036543579101562806,
-                "p50": 0.6545756225585937,
-                "p90": 0.6574991088867188,
-                "p95": 0.6578645446777344,
-                "p99": 0.6581568933105469,
+                "total": 1.2613369140625,
+                "mean": 0.63066845703125,
+                "stdev": 0.0005619506835937149,
+                "p50": 0.63066845703125,
+                "p90": 0.631118017578125,
+                "p95": 0.6311742126464843,
+                "p99": 0.6312191687011719,
                 "values": [
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-                    0.6509212646484375
+                    0.6312304077148437,
+                    0.6301065063476563
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             "throughput": {
                 "unit": "images/s",
-                "value": 1.5277073657146252
+                "value": 1.585619177320691
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             "energy": {
                 "unit": "kWh",
-                "cpu": 7.674301829602984e-06,
-                "ram": 4.1980799144766935e-06,
-                "gpu": 4.18562834849992e-05,
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+                "cpu": 7.432667165994645e-06,
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+                "gpu": 4.004933759500003e-05,
+                "total": 5.154659075053954e-05
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             "efficiency": {
                 "unit": "images/kWh",
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+                "value": 19399.925105416074
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         }
     }