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

@@ -80,7 +80,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "15551974bf1587da56f13594c8d29dbb2a9cc72d",
+            "optimum_benchmark_commit": "f1a71d4a6723274679bd4f9afe07052944616560",
             "transformers_version": "4.43.1",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 557.944832,
+                "max_ram": 555.78624,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 19.05591941900002,
-                "mean": 19.05591941900002,
+                "total": 21.182794902000012,
+                "mean": 21.182794902000012,
                 "stdev": 0.0,
-                "p50": 19.05591941900002,
-                "p90": 19.05591941900002,
-                "p95": 19.05591941900002,
-                "p99": 19.05591941900002,
+                "p50": 21.182794902000012,
+                "p90": 21.182794902000012,
+                "p95": 21.182794902000012,
+                "p99": 21.182794902000012,
                 "values": [
-                    19.05591941900002
+                    21.182794902000012
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0006119419097900392,
-                "ram": 2.5580538153377576e-05,
+                "cpu": 0.0007012505292892457,
+                "ram": 2.9313997963131443e-05,
                 "gpu": 0,
-                "total": 0.0006375224479434167
+                "total": 0.0007305645272523771
             },
             "efficiency": null
         },
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 5907.337216,
+                "max_ram": 5944.999936,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,31 +141,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 49.100167510000006,
-                "mean": 49.100167510000006,
+                "total": 48.54476574599994,
+                "mean": 48.54476574599994,
                 "stdev": 0.0,
-                "p50": 49.100167510000006,
-                "p90": 49.100167510000006,
-                "p95": 49.100167510000006,
-                "p99": 49.100167510000006,
+                "p50": 48.54476574599994,
+                "p90": 48.54476574599994,
+                "p95": 48.54476574599994,
+                "p99": 48.54476574599994,
                 "values": [
-                    49.100167510000006
+                    48.54476574599994
                 ]
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.020366529295370216
+                "value": 0.020599543218156314
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.001907086910141839,
-                "ram": 7.97217450377832e-05,
+                "cpu": 0.0019004936536153158,
+                "ram": 7.94459815092398e-05,
                 "gpu": 0.0,
-                "total": 0.001986808655179622
+                "total": 0.0019799396351245554
             },
             "efficiency": {
                 "unit": "images/kWh",
-                "value": 503.31973207031996
+                "value": 505.0659031516844
             }
         }
     }