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

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

@@ -79,8 +79,8 @@
             "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
-            "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "3d7258bc53700ac83eb355d4dbbeac8dec4eb496",
+            "optimum_benchmark_version": "0.3.1",
+            "optimum_benchmark_commit": "0aac0108c378c328492774ddb431ea89a3c2b507",
             "transformers_version": "4.43.3",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 558.096384,
+                "max_ram": 559.570944,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 19.483760440000083,
-                "mean": 19.483760440000083,
+                "total": 21.739976608999996,
+                "mean": 21.739976608999996,
                 "stdev": 0.0,
-                "p50": 19.483760440000083,
-                "p90": 19.483760440000083,
-                "p95": 19.483760440000083,
-                "p99": 19.483760440000083,
+                "p50": 21.739976608999996,
+                "p90": 21.739976608999996,
+                "p95": 21.739976608999996,
+                "p99": 21.739976608999996,
                 "values": [
-                    19.483760440000083
+                    21.739976608999996
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0006338411278194851,
-                "ram": 2.649602051074794e-05,
+                "cpu": 0.0007258757034937542,
+                "ram": 3.0343346921692953e-05,
                 "gpu": 0,
-                "total": 0.0006603371483302331
+                "total": 0.0007562190504154471
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             "efficiency": null
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         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 6001.053696,
+                "max_ram": 5867.737088,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 48.86072923100005,
-                "mean": 48.86072923100005,
+                "total": 48.84120430000007,
+                "mean": 48.84120430000007,
                 "stdev": 0.0,
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-                "p90": 48.86072923100005,
-                "p95": 48.86072923100005,
-                "p99": 48.86072923100005,
+                "p50": 48.84120430000007,
+                "p90": 48.84120430000007,
+                "p95": 48.84120430000007,
+                "p99": 48.84120430000007,
                 "values": [
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+                    48.84120430000007
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020466333919665337
+                "value": 0.02047451561303943
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             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019025225996971132,
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+                "cpu": 0.0019025503502951729,
+                "ram": 7.953194308007028e-05,
                 "gpu": 0.0,
-                "total": 0.0019820534811643416
+                "total": 0.001982082293375243
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             "efficiency": {
                 "unit": "images/kWh",
-                "value": 504.52725393290496
+                "value": 504.5199199560593
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         }
     }