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

@@ -3,7 +3,7 @@
         "name": "cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
         "backend": {
             "name": "pytorch",
-            "version": "2.4.1+cpu",
+            "version": "2.5.1+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "text-to-image",
             "library": "diffusers",
@@ -45,7 +45,6 @@
             "warmup_runs": 1,
             "input_shapes": {
                 "batch_size": 1,
-                "num_choices": 2,
                 "sequence_length": 2
             },
             "new_tokens": null,
@@ -73,23 +72,23 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16766.783488,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.8.0-1015-azure-x86_64-with-glibc2.39",
+            "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.5.0.dev0",
-            "optimum_benchmark_commit": "08c9f59440cf4e5a5d6711ec19e8329ab2de652d",
-            "transformers_version": "4.45.2",
+            "optimum_benchmark_commit": "6807ba28334c8c98abf72a03d78f86133328d180",
+            "transformers_version": "4.46.3",
             "transformers_commit": null,
-            "accelerate_version": "1.0.1",
+            "accelerate_version": "1.1.1",
             "accelerate_commit": null,
-            "diffusers_version": "0.30.3",
+            "diffusers_version": "0.31.0",
             "diffusers_commit": null,
             "optimum_version": null,
             "optimum_commit": null,
-            "timm_version": "1.0.9",
+            "timm_version": "1.0.11",
             "timm_commit": null,
             "peft_version": null,
             "peft_commit": null
@@ -101,7 +100,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 550.23616,
+                "max_ram": 571.629568,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -110,15 +109,15 @@
             "latency": {
                 "unit": "s",
                 "values": [
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+                    17.271487632999992
                 ],
                 "count": 1,
-                "total": 11.080156967999983,
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-                "p50": 11.080156967999983,
-                "p90": 11.080156967999983,
-                "p95": 11.080156967999983,
-                "p99": 11.080156967999983,
+                "total": 17.271487632999992,
+                "mean": 17.271487632999992,
+                "p50": 17.271487632999992,
+                "p90": 17.271487632999992,
+                "p95": 17.271487632999992,
+                "p99": 17.271487632999992,
                 "stdev": 0,
                 "stdev_": 0
             },
@@ -129,7 +128,7 @@
         "call": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 6892.621824,
+                "max_ram": 7002.35776,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -138,32 +137,32 @@
             "latency": {
                 "unit": "s",
                 "values": [
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+                    49.487237134
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-                "p95": 49.386013845000036,
-                "p99": 49.386013845000036,
+                "total": 49.487237134,
+                "mean": 49.487237134,
+                "p50": 49.487237134,
+                "p90": 49.487237134,
+                "p95": 49.487237134,
+                "p99": 49.487237134,
                 "stdev": 0,
                 "stdev_": 0
             },
             "throughput": {
                 "unit": "images/s",
-                "value": 0.02024864778798588
+                "value": 0.020207230346932305
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.0019278169941722221,
-                "ram": 8.063357899123314e-05,
+                "cpu": 0.001917505553483335,
+                "ram": 8.015711997110576e-05,
                 "gpu": 0.0,
-                "total": 0.0020084505731634552
+                "total": 0.001997662673454441
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             "efficiency": {
                 "unit": "images/kWh",
-                "value": 497.8962456740608
+                "value": 500.58501532231094
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         }
     }