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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": 16766.763008,
+            "cpu_ram_mb": 16766.7712,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.5.0",
-            "optimum_benchmark_commit": "da7a7adc61c6bf2e65157851160ed1216b6a5c9b",
+            "optimum_benchmark_commit": "32c76ae56d42e7230c1dfbaaaa2551ca35f19049",
             "transformers_version": "4.45.0",
             "transformers_commit": null,
             "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 546.725888,
+                "max_ram": 546.93888,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 17.95961780999994,
-                "mean": 17.95961780999994,
+                "total": 14.255951823000032,
+                "mean": 14.255951823000032,
                 "stdev": 0.0,
-                "p50": 17.95961780999994,
-                "p90": 17.95961780999994,
-                "p95": 17.95961780999994,
-                "p99": 17.95961780999994,
+                "p50": 14.255951823000032,
+                "p90": 14.255951823000032,
+                "p95": 14.255951823000032,
+                "p99": 14.255951823000032,
                 "values": [
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+                    14.255951823000032
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0005743418155222237,
-                "ram": 2.402232261873271e-05,
+                "cpu": 0.0005543629983499987,
+                "ram": 2.3186697744557032e-05,
                 "gpu": 0,
-                "total": 0.0005983641381409563
+                "total": 0.0005775496960945557
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             "efficiency": null
         },
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 5910.089728,
+                "max_ram": 5928.579072,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.69950484000003,
-                "mean": 49.69950484000003,
+                "total": 49.56348643400008,
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-                "p90": 49.69950484000003,
-                "p95": 49.69950484000003,
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+                "p50": 49.56348643400008,
+                "p90": 49.56348643400008,
+                "p95": 49.56348643400008,
+                "p99": 49.56348643400008,
                 "values": [
-                    49.69950484000003
+                    49.56348643400008
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020120924810405
+                "value": 0.02017614320436525
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             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019207739550999995,
-                "ram": 8.033900669799633e-05,
+                "cpu": 0.0019280728442111147,
+                "ram": 8.064424027087977e-05,
                 "gpu": 0.0,
-                "total": 0.0020011129617979956
+                "total": 0.0020087170844819945
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             "efficiency": {
                 "unit": "images/kWh",
-                "value": 499.7219142998815
+                "value": 497.8301861050178
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         }
     }