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cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json

@@ -78,7 +78,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "466c44af5d8cf99af048e74ddb3b2f8ec6606263",
+            "optimum_benchmark_commit": "b92e3e6e00670fa1351d9aef1be896254e5f33e0",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
         "call": {
             "memory": {
                 "unit": "MB",
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+                "max_ram": 6936.567808,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -106,31 +106,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 48.79714018499999,
-                "mean": 48.79714018499999,
+                "total": 49.654675069000064,
+                "mean": 49.654675069000064,
                 "stdev": 0.0,
-                "p50": 48.79714018499999,
-                "p90": 48.79714018499999,
-                "p95": 48.79714018499999,
-                "p99": 48.79714018499999,
+                "p50": 49.654675069000064,
+                "p90": 49.654675069000064,
+                "p95": 49.654675069000064,
+                "p99": 49.654675069000064,
                 "values": [
-                    48.79714018499999
+                    49.654675069000064
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020493004225427852
+                "value": 0.020139090601446922
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.00189141151242786,
-                "ram": 7.906638092201093e-05,
+                "cpu": 0.001935898103978899,
+                "ram": 8.092603380262886e-05,
                 "gpu": 0.0,
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+                "total": 0.002016824137781528
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             "efficiency": {
                 "unit": "images/kWh",
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+                "value": 495.8290518577306
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     }