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": "2.4.0+
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "text-to-image",
|
9 |
"library": "diffusers",
|
@@ -104,74 +104,74 @@
|
|
104 |
"load": {
|
105 |
"memory": {
|
106 |
"unit": "MB",
|
107 |
-
"max_ram":
|
108 |
-
"max_global_vram":
|
109 |
"max_process_vram": 0.0,
|
110 |
-
"max_reserved":
|
111 |
-
"max_allocated":
|
112 |
},
|
113 |
"latency": {
|
114 |
"unit": "s",
|
115 |
"count": 1,
|
116 |
-
"total":
|
117 |
-
"mean":
|
118 |
"stdev": 0.0,
|
119 |
-
"p50":
|
120 |
-
"p90":
|
121 |
-
"p95":
|
122 |
-
"p99":
|
123 |
"values": [
|
124 |
-
|
125 |
]
|
126 |
},
|
127 |
"throughput": null,
|
128 |
"energy": {
|
129 |
"unit": "kWh",
|
130 |
-
"cpu": 0.
|
131 |
-
"ram": 0.
|
132 |
-
"gpu": 0.
|
133 |
-
"total": 0.
|
134 |
},
|
135 |
"efficiency": null
|
136 |
},
|
137 |
"call": {
|
138 |
"memory": {
|
139 |
"unit": "MB",
|
140 |
-
"max_ram":
|
141 |
-
"max_global_vram":
|
142 |
"max_process_vram": 0.0,
|
143 |
-
"max_reserved":
|
144 |
-
"max_allocated":
|
145 |
},
|
146 |
"latency": {
|
147 |
"unit": "s",
|
148 |
"count": 2,
|
149 |
-
"total": 1.
|
150 |
-
"mean": 0.
|
151 |
-
"stdev": 0.
|
152 |
-
"p50": 0.
|
153 |
-
"p90": 0.
|
154 |
-
"p95": 0.
|
155 |
-
"p99": 0.
|
156 |
"values": [
|
157 |
-
0.
|
158 |
-
0.
|
159 |
]
|
160 |
},
|
161 |
"throughput": {
|
162 |
"unit": "images/s",
|
163 |
-
"value": 1.
|
164 |
},
|
165 |
"energy": {
|
166 |
"unit": "kWh",
|
167 |
-
"cpu": 7.
|
168 |
-
"ram":
|
169 |
-
"gpu":
|
170 |
-
"total": 5.
|
171 |
},
|
172 |
"efficiency": {
|
173 |
"unit": "images/kWh",
|
174 |
-
"value":
|
175 |
}
|
176 |
}
|
177 |
}
|
|
|
3 |
"name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.4.0+cu124",
|
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": 4287.074304,
|
108 |
+
"max_global_vram": 6180.831232,
|
109 |
"max_process_vram": 0.0,
|
110 |
+
"max_reserved": 5595.201536,
|
111 |
+
"max_allocated": 5507.129344
|
112 |
},
|
113 |
"latency": {
|
114 |
"unit": "s",
|
115 |
"count": 1,
|
116 |
+
"total": 47.8559453125,
|
117 |
+
"mean": 47.8559453125,
|
118 |
"stdev": 0.0,
|
119 |
+
"p50": 47.8559453125,
|
120 |
+
"p90": 47.8559453125,
|
121 |
+
"p95": 47.8559453125,
|
122 |
+
"p99": 47.8559453125,
|
123 |
"values": [
|
124 |
+
47.8559453125
|
125 |
]
|
126 |
},
|
127 |
"throughput": null,
|
128 |
"energy": {
|
129 |
"unit": "kWh",
|
130 |
+
"cpu": 0.0004783073422006951,
|
131 |
+
"ram": 0.00026213863921654924,
|
132 |
+
"gpu": 0.0006469499620039999,
|
133 |
+
"total": 0.0013873959434212442
|
134 |
},
|
135 |
"efficiency": null
|
136 |
},
|
137 |
"call": {
|
138 |
"memory": {
|
139 |
"unit": "MB",
|
140 |
+
"max_ram": 1468.096512,
|
141 |
+
"max_global_vram": 8546.418688,
|
142 |
"max_process_vram": 0.0,
|
143 |
+
"max_reserved": 7902.068736,
|
144 |
+
"max_allocated": 6592.787968
|
145 |
},
|
146 |
"latency": {
|
147 |
"unit": "s",
|
148 |
"count": 2,
|
149 |
+
"total": 1.1926997070312502,
|
150 |
+
"mean": 0.5963498535156251,
|
151 |
+
"stdev": 0.000898925781250004,
|
152 |
+
"p50": 0.5963498535156251,
|
153 |
+
"p90": 0.5970689941406251,
|
154 |
+
"p95": 0.5971588867187501,
|
155 |
+
"p99": 0.59723080078125,
|
156 |
"values": [
|
157 |
+
0.597248779296875,
|
158 |
+
0.595450927734375
|
159 |
]
|
160 |
},
|
161 |
"throughput": {
|
162 |
"unit": "images/s",
|
163 |
+
"value": 1.6768680231994033
|
164 |
},
|
165 |
"energy": {
|
166 |
"unit": "kWh",
|
167 |
+
"cpu": 7.082042578819763e-06,
|
168 |
+
"ram": 3.861177812123998e-06,
|
169 |
+
"gpu": 3.990183747700025e-05,
|
170 |
+
"total": 5.0845057867944e-05
|
171 |
},
|
172 |
"efficiency": {
|
173 |
"unit": "images/kWh",
|
174 |
+
"value": 19667.594883994898
|
175 |
}
|
176 |
}
|
177 |
}
|