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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": "0.2.0",
-            "optimum_benchmark_commit": "b3690661eecec40c5905418f03e56991fd2bca89",
+            "optimum_benchmark_commit": "20967d442ecbde73b309c993163c266eac5ccef4",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 6871.77728,
+                "max_ram": 6959.722496,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 53.64269340300007,
-                "mean": 53.64269340300007,
+                "total": 49.484235850999994,
+                "mean": 49.484235850999994,
                 "stdev": 0.0,
-                "p50": 53.64269340300007,
-                "p90": 53.64269340300007,
-                "p95": 53.64269340300007,
-                "p99": 53.64269340300007,
+                "p50": 49.484235850999994,
+                "p90": 49.484235850999994,
+                "p95": 49.484235850999994,
+                "p99": 49.484235850999994,
                 "values": [
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+                    49.484235850999994
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.01864186782135129
+                "value": 0.020208455941626745
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0020626988477177094,
-                "ram": 8.62266958967668e-05,
+                "cpu": 0.0019003956317901615,
+                "ram": 7.944190602410345e-05,
                 "gpu": 0.0,
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+                "total": 0.001979837537814265
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             "efficiency": {
                 "unit": "images/kWh",
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+                "value": 505.0919486575637
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     }