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cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json

@@ -73,14 +73,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "fa9ef035a540e4a60f1b37660f7a300a32d1f25b",
+            "optimum_benchmark_commit": "829c6f2bf05bfceceeef1a2cf8b5f0b6ce8b52b7",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 555.409408,
+                "max_ram": 555.544576,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 18.908671113999958,
-                "mean": 18.908671113999958,
+                "total": 26.167001286999948,
+                "mean": 26.167001286999948,
                 "stdev": 0.0,
-                "p50": 18.908671113999958,
-                "p90": 18.908671113999958,
-                "p95": 18.908671113999958,
-                "p99": 18.908671113999958,
+                "p50": 26.167001286999948,
+                "p90": 26.167001286999948,
+                "p95": 26.167001286999948,
+                "p99": 26.167001286999948,
                 "values": [
-                    18.908671113999958
+                    26.167001286999948
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0006176955850333334,
-                "ram": 2.582115961332815e-05,
+                "cpu": 0.0008977201976166651,
+                "ram": 3.752705037230476e-05,
                 "gpu": 0,
-                "total": 0.0006435167446466616
+                "total": 0.0009352472479889698
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             "efficiency": null
         },
         "call": {
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                 "unit": "MB",
-                "max_ram": 5871.480832,
+                "max_ram": 5887.725568,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.172190831999956,
-                "mean": 49.172190831999956,
+                "total": 49.133253618000026,
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-                "p90": 49.172190831999956,
-                "p95": 49.172190831999956,
-                "p99": 49.172190831999956,
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+                "p90": 49.133253618000026,
+                "p95": 49.133253618000026,
+                "p99": 49.133253618000026,
                 "values": [
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+                    49.133253618000026
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.02033669810272571
+                "value": 0.020352814567803197
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             "energy": {
                 "unit": "kWh",
-                "cpu": 0.001905088840277777,
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+                "cpu": 0.0019049916285555565,
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                 "gpu": 0.0,
-                "total": 0.001984726944533758
+                "total": 0.001984625705945919
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             "efficiency": {
                 "unit": "images/kWh",
-                "value": 503.8476465259632
+                "value": 503.8733485130268
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         }
     }