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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": "6d9d5ca2350731ed23f64c0368b5a761377a7dae",
+            "optimum_benchmark_commit": "ab5cca637c4d04c05b877ae9d59a826198357fda",
             "transformers_version": "4.44.0",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 555.610112,
+                "max_ram": 556.62592,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 19.082737949999967,
-                "mean": 19.082737949999967,
+                "total": 27.741913727999986,
+                "mean": 27.741913727999986,
                 "stdev": 0.0,
-                "p50": 19.082737949999967,
-                "p90": 19.082737949999967,
-                "p95": 19.082737949999967,
-                "p99": 19.082737949999967,
+                "p50": 27.741913727999986,
+                "p90": 27.741913727999986,
+                "p95": 27.741913727999986,
+                "p99": 27.741913727999986,
                 "values": [
-                    19.082737949999967
+                    27.741913727999986
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0006211380479111114,
-                "ram": 2.596511917383067e-05,
+                "cpu": 0.0009585804144000015,
+                "ram": 4.0071228597468764e-05,
                 "gpu": 0,
-                "total": 0.0006471031670849421
+                "total": 0.0009986516429974703
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             "efficiency": null
         },
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 5972.578304,
+                "max_ram": 5962.883072,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 48.71834230700006,
-                "mean": 48.71834230700006,
+                "total": 48.88892763599995,
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-                "p90": 48.71834230700006,
-                "p95": 48.71834230700006,
-                "p99": 48.71834230700006,
+                "p50": 48.88892763599995,
+                "p90": 48.88892763599995,
+                "p95": 48.88892763599995,
+                "p99": 48.88892763599995,
                 "values": [
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+                    48.88892763599995
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020526149960080144
+                "value": 0.02045452924321535
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             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0018836636696111123,
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+                "cpu": 0.001902826237122221,
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                 "gpu": 0.0,
-                "total": 0.0019624061054793187
+                "total": 0.0019823697895919863
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             "efficiency": {
                 "unit": "images/kWh",
-                "value": 509.5785205762746
+                "value": 504.4467511814843
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     }