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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": "a426049b3dc97f6bbcbc7a79743065432e963ac0",
+            "optimum_benchmark_commit": "5e9beea10942a9d4b3bee05550004817630e3d7e",
             "transformers_version": "4.41.0",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "call": {
             "memory": {
                 "unit": "MB",
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+                "max_ram": 6915.526656,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 48.88004803399997,
-                "mean": 48.88004803399997,
+                "total": 48.93521907899992,
+                "mean": 48.93521907899992,
                 "stdev": 0.0,
-                "p50": 48.88004803399997,
-                "p90": 48.88004803399997,
-                "p95": 48.88004803399997,
-                "p99": 48.88004803399997,
+                "p50": 48.93521907899992,
+                "p90": 48.93521907899992,
+                "p95": 48.93521907899992,
+                "p99": 48.93521907899992,
                 "values": [
-                    48.88004803399997
+                    48.93521907899992
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.02045824503495619
+                "value": 0.020435179791177035
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0018953585505485538,
-                "ram": 7.923135505845352e-05,
+                "cpu": 0.001895738278494941,
+                "ram": 7.924723934081413e-05,
                 "gpu": 0.0,
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+                "total": 0.001974985517835755
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             "efficiency": {
                 "unit": "images/kWh",
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+                "value": 506.33282673172624
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     }