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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": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "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": "829c6f2bf05bfceceeef1a2cf8b5f0b6ce8b52b7",
+            "optimum_benchmark_commit": "9ea4940f8d12769fd995efb985434836fb19b72f",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 555.544576,
+                "max_ram": 553.218048,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 26.167001286999948,
-                "mean": 26.167001286999948,
+                "total": 21.774162456,
+                "mean": 21.774162456,
                 "stdev": 0.0,
-                "p50": 26.167001286999948,
-                "p90": 26.167001286999948,
-                "p95": 26.167001286999948,
-                "p99": 26.167001286999948,
+                "p50": 21.774162456,
+                "p90": 21.774162456,
+                "p95": 21.774162456,
+                "p99": 21.774162456,
                 "values": [
-                    26.167001286999948
+                    21.774162456
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0008977201976166651,
-                "ram": 3.752705037230476e-05,
+                "cpu": 0.0007170106968500017,
+                "ram": 2.9972813044515872e-05,
                 "gpu": 0,
-                "total": 0.0009352472479889698
+                "total": 0.0007469835098945176
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             "efficiency": null
         },
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 5887.725568,
+                "max_ram": 5883.04384,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.133253618000026,
-                "mean": 49.133253618000026,
+                "total": 48.45681390799996,
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                 "stdev": 0.0,
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-                "p90": 49.133253618000026,
-                "p95": 49.133253618000026,
-                "p99": 49.133253618000026,
+                "p50": 48.45681390799996,
+                "p90": 48.45681390799996,
+                "p95": 48.45681390799996,
+                "p99": 48.45681390799996,
                 "values": [
-                    49.133253618000026
+                    48.45681390799996
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020352814567803197
+                "value": 0.020636932545722023
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019049916285555565,
-                "ram": 7.963407739036261e-05,
+                "cpu": 0.0018797593740333325,
+                "ram": 7.857932183530497e-05,
                 "gpu": 0.0,
-                "total": 0.001984625705945919
+                "total": 0.0019583386958686375
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             "efficiency": {
                 "unit": "images/kWh",
-                "value": 503.8733485130268
+                "value": 510.6368995871992
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         }
     }