Upload cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub

cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
         "backend": {
             "name": "pytorch",
-            "version": "2.4.0+rocm6.1",
+            "version": "2.3.1+rocm5.7",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "text-to-image",
             "library": "diffusers",
@@ -11,7 +11,7 @@
             "model": "CompVis/stable-diffusion-v1-4",
             "processor": "CompVis/stable-diffusion-v1-4",
             "device": "cuda",
-            "device_ids": "0",
+            "device_ids": "4",
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
@@ -111,24 +111,24 @@
         "load": {
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                 "unit": "MB",
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-                "max_process_vram": 0.0,
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+                "max_process_vram": 490966.740992,
                 "max_reserved": 5626.658816,
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+                "max_allocated": 5502.410752
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             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 12.8566982421875,
-                "mean": 12.8566982421875,
+                "total": 12.462712890625,
+                "mean": 12.462712890625,
                 "stdev": 0.0,
-                "p50": 12.8566982421875,
-                "p90": 12.8566982421875,
-                "p95": 12.8566982421875,
-                "p99": 12.8566982421875,
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+                "p90": 12.462712890625,
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+                "p99": 12.462712890625,
                 "values": [
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             "throughput": null,
@@ -138,30 +138,31 @@
         "call": {
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                 "unit": "MB",
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-                "max_global_vram": 11.087872,
-                "max_process_vram": 0.0,
+                "max_ram": 1340.035072,
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-                "max_allocated": 8657.30304
+                "max_allocated": 8657.827328
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             "throughput": {
                 "unit": "images/s",
-                "value": 1.9948731006417681
+                "value": 2.072637659761339
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             "energy": null,
             "efficiency": null