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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": "0.2.1",
-            "optimum_benchmark_commit": "9a8b29987613b8b04c221447a49b37ee314548ff",
+            "optimum_benchmark_commit": "3b8c49a169ebd79001b2a83fbf2b332612417102",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
         "call": {
             "memory": {
                 "unit": "MB",
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+                "max_ram": 6977.86368,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.067774833000044,
-                "mean": 49.067774833000044,
+                "total": 49.11240228400004,
+                "mean": 49.11240228400004,
                 "stdev": 0.0,
-                "p50": 49.067774833000044,
-                "p90": 49.067774833000044,
-                "p95": 49.067774833000044,
-                "p99": 49.067774833000044,
+                "p50": 49.11240228400004,
+                "p90": 49.11240228400004,
+                "p95": 49.11240228400004,
+                "p99": 49.11240228400004,
                 "values": [
-                    49.067774833000044
+                    49.11240228400004
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020379974502684396
+                "value": 0.02036145563023665
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019013409972190858,
-                "ram": 7.948138837112765e-05,
+                "cpu": 0.0019034373866187203,
+                "ram": 7.956902821271569e-05,
                 "gpu": 0.0,
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+                "total": 0.001983006414831436
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             "efficiency": {
                 "unit": "images/kWh",
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+                "value": 504.2848033777058
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     }