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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": "0.3.0",
-            "optimum_benchmark_commit": "19eeac52e408e408898ac1fac3d9abefced0131b",
+            "optimum_benchmark_commit": "57f6495c03ea0fa48e157048c97add150dcd765c",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
         "call": {
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                 "unit": "MB",
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+                "max_ram": 6868.578304,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
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-                "total": 50.238148809999984,
-                "mean": 50.238148809999984,
+                "total": 49.23578292499997,
+                "mean": 49.23578292499997,
                 "stdev": 0.0,
-                "p50": 50.238148809999984,
-                "p90": 50.238148809999984,
-                "p95": 50.238148809999984,
-                "p99": 50.238148809999984,
+                "p50": 49.23578292499997,
+                "p90": 49.23578292499997,
+                "p95": 49.23578292499997,
+                "p99": 49.23578292499997,
                 "values": [
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+                    49.23578292499997
                 ]
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             "throughput": {
                 "unit": "images/s",
-                "value": 0.019905192044037824
+                "value": 0.020310431572161308
             },
             "energy": {
                 "unit": "kWh",
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-                "ram": 8.124980823699843e-05,
+                "cpu": 0.0019021554721726313,
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                 "gpu": 0.0,
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+                "value": 504.62463136299027
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