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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": "748abd0c7ac21cfb1798768cad39007b466ce8e8",
+            "optimum_benchmark_commit": "19eeac52e408e408898ac1fac3d9abefced0131b",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
         "call": {
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+                "max_ram": 7003.082752,
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                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
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-                "total": 49.204103879999934,
-                "mean": 49.204103879999934,
+                "total": 50.238148809999984,
+                "mean": 50.238148809999984,
                 "stdev": 0.0,
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-                "p90": 49.204103879999934,
-                "p95": 49.204103879999934,
-                "p99": 49.204103879999934,
+                "p50": 50.238148809999984,
+                "p90": 50.238148809999984,
+                "p95": 50.238148809999984,
+                "p99": 50.238148809999984,
                 "values": [
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+                    50.238148809999984
                 ]
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             "throughput": {
                 "unit": "images/s",
-                "value": 0.020323508023615718
+                "value": 0.019905192044037824
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             "energy": {
                 "unit": "kWh",
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+                "cpu": 0.0019436426070001392,
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+                "value": 493.85339807442995
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