Upload cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub
Browse files
cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
|
| 4 |
"backend": {
|
| 5 |
"name": "pytorch",
|
| 6 |
-
"version": "2.
|
| 7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
"task": "text-to-image",
|
| 9 |
"library": "diffusers",
|
|
@@ -104,24 +104,24 @@
|
|
| 104 |
"load": {
|
| 105 |
"memory": {
|
| 106 |
"unit": "MB",
|
| 107 |
-
"max_ram":
|
| 108 |
-
"max_global_vram":
|
| 109 |
-
"max_process_vram":
|
| 110 |
-
"max_reserved":
|
| 111 |
-
"max_allocated":
|
| 112 |
},
|
| 113 |
"latency": {
|
| 114 |
"unit": "s",
|
| 115 |
"count": 1,
|
| 116 |
-
"total": 10.
|
| 117 |
-
"mean": 10.
|
| 118 |
"stdev": 0.0,
|
| 119 |
-
"p50": 10.
|
| 120 |
-
"p90": 10.
|
| 121 |
-
"p95": 10.
|
| 122 |
-
"p99": 10.
|
| 123 |
"values": [
|
| 124 |
-
10.
|
| 125 |
]
|
| 126 |
},
|
| 127 |
"throughput": null,
|
|
@@ -131,30 +131,31 @@
|
|
| 131 |
"call": {
|
| 132 |
"memory": {
|
| 133 |
"unit": "MB",
|
| 134 |
-
"max_ram":
|
| 135 |
-
"max_global_vram":
|
| 136 |
-
"max_process_vram":
|
| 137 |
-
"max_reserved":
|
| 138 |
-
"max_allocated":
|
| 139 |
},
|
| 140 |
"latency": {
|
| 141 |
"unit": "s",
|
| 142 |
-
"count":
|
| 143 |
-
"total": 1.
|
| 144 |
-
"mean": 0.
|
| 145 |
-
"stdev": 0.
|
| 146 |
-
"p50": 0.
|
| 147 |
-
"p90": 0.
|
| 148 |
-
"p95": 0.
|
| 149 |
-
"p99": 0.
|
| 150 |
"values": [
|
| 151 |
-
0.
|
| 152 |
-
0.
|
|
|
|
| 153 |
]
|
| 154 |
},
|
| 155 |
"throughput": {
|
| 156 |
"unit": "images/s",
|
| 157 |
-
"value":
|
| 158 |
},
|
| 159 |
"energy": null,
|
| 160 |
"efficiency": null
|
|
|
|
| 3 |
"name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
|
| 4 |
"backend": {
|
| 5 |
"name": "pytorch",
|
| 6 |
+
"version": "2.2.2+rocm5.7",
|
| 7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
"task": "text-to-image",
|
| 9 |
"library": "diffusers",
|
|
|
|
| 104 |
"load": {
|
| 105 |
"memory": {
|
| 106 |
"unit": "MB",
|
| 107 |
+
"max_ram": 4377.362432,
|
| 108 |
+
"max_global_vram": 5864.300544,
|
| 109 |
+
"max_process_vram": 514068.566016,
|
| 110 |
+
"max_reserved": 5572.132864,
|
| 111 |
+
"max_allocated": 5512.962048
|
| 112 |
},
|
| 113 |
"latency": {
|
| 114 |
"unit": "s",
|
| 115 |
"count": 1,
|
| 116 |
+
"total": 10.767173828125,
|
| 117 |
+
"mean": 10.767173828125,
|
| 118 |
"stdev": 0.0,
|
| 119 |
+
"p50": 10.767173828125,
|
| 120 |
+
"p90": 10.767173828125,
|
| 121 |
+
"p95": 10.767173828125,
|
| 122 |
+
"p99": 10.767173828125,
|
| 123 |
"values": [
|
| 124 |
+
10.767173828125
|
| 125 |
]
|
| 126 |
},
|
| 127 |
"throughput": null,
|
|
|
|
| 131 |
"call": {
|
| 132 |
"memory": {
|
| 133 |
"unit": "MB",
|
| 134 |
+
"max_ram": 1950.007296,
|
| 135 |
+
"max_global_vram": 12592.226304,
|
| 136 |
+
"max_process_vram": 6021869.903872,
|
| 137 |
+
"max_reserved": 8994.684928,
|
| 138 |
+
"max_allocated": 8668.378624
|
| 139 |
},
|
| 140 |
"latency": {
|
| 141 |
"unit": "s",
|
| 142 |
+
"count": 3,
|
| 143 |
+
"total": 1.44148583984375,
|
| 144 |
+
"mean": 0.4804952799479167,
|
| 145 |
+
"stdev": 0.004062092811273424,
|
| 146 |
+
"p50": 0.477643310546875,
|
| 147 |
+
"p90": 0.4845205810546875,
|
| 148 |
+
"p95": 0.4853802398681641,
|
| 149 |
+
"p99": 0.4860679669189453,
|
| 150 |
"values": [
|
| 151 |
+
0.48623989868164064,
|
| 152 |
+
0.4776026306152344,
|
| 153 |
+
0.477643310546875
|
| 154 |
]
|
| 155 |
},
|
| 156 |
"throughput": {
|
| 157 |
"unit": "images/s",
|
| 158 |
+
"value": 2.0811858965782037
|
| 159 |
},
|
| 160 |
"energy": null,
|
| 161 |
"efficiency": null
|