IlyasMoutawwakil HF staff commited on
Commit
44c1a3c
·
verified ·
1 Parent(s): b2059d6

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": "2.6.0.dev20240917+cu124",
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": 4341.686272,
108
- "max_global_vram": 6196.559872,
109
  "max_process_vram": 0.0,
110
- "max_reserved": 5603.590144,
111
- "max_allocated": 5508.17792
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
- "total": 71.450140625,
117
- "mean": 71.450140625,
118
  "stdev": 0.0,
119
- "p50": 71.450140625,
120
- "p90": 71.450140625,
121
- "p95": 71.450140625,
122
- "p99": 71.450140625,
123
  "values": [
124
- 71.450140625
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
- "cpu": 0.0007438578971465189,
131
- "ram": 0.00040768021324781665,
132
- "gpu": 0.0010529711201540046,
133
- "total": 0.0022045092305483403
134
  },
135
  "efficiency": null
136
  },
137
  "call": {
138
  "memory": {
139
  "unit": "MB",
140
- "max_ram": 1531.84256,
141
- "max_global_vram": 8551.661568,
142
  "max_process_vram": 0.0,
143
- "max_reserved": 7899.971584,
144
- "max_allocated": 6593.836544
145
  },
146
  "latency": {
147
  "unit": "s",
148
  "count": 2,
149
- "total": 1.1981542358398438,
150
- "mean": 0.5990771179199219,
151
- "stdev": 0.0008390808105468994,
152
- "p50": 0.5990771179199219,
153
- "p90": 0.5997483825683594,
154
- "p95": 0.599832290649414,
155
- "p99": 0.5998994171142578,
156
  "values": [
157
- 0.5999161987304688,
158
- 0.598238037109375
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "images/s",
163
- "value": 1.6692341771826262
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 7.104404780208523e-06,
168
- "ram": 3.884150542187095e-06,
169
- "gpu": 3.867989205499911e-05,
170
- "total": 4.9668447377394726e-05
171
  },
172
  "efficiency": {
173
  "unit": "images/kWh",
174
- "value": 20133.506336562543
175
  }
176
  }
177
  }
 
3
  "name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.4.1+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": 4312.420352,
108
+ "max_global_vram": 6169.296896,
109
  "max_process_vram": 0.0,
110
+ "max_reserved": 5576.327168,
111
+ "max_allocated": 5510.79936
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
+ "total": 73.6511328125,
117
+ "mean": 73.6511328125,
118
  "stdev": 0.0,
119
+ "p50": 73.6511328125,
120
+ "p90": 73.6511328125,
121
+ "p95": 73.6511328125,
122
+ "p99": 73.6511328125,
123
  "values": [
124
+ 73.6511328125
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
+ "cpu": 0.0007779643910965282,
131
+ "ram": 0.0004263719123848855,
132
+ "gpu": 0.0011648178762979997,
133
+ "total": 0.0023691541797794136
134
  },
135
  "efficiency": null
136
  },
137
  "call": {
138
  "memory": {
139
  "unit": "MB",
140
+ "max_ram": 1502.24896,
141
+ "max_global_vram": 8524.398592,
142
  "max_process_vram": 0.0,
143
+ "max_reserved": 7872.708608,
144
+ "max_allocated": 6596.457984
145
  },
146
  "latency": {
147
  "unit": "s",
148
  "count": 2,
149
+ "total": 1.1912448120117187,
150
+ "mean": 0.5956224060058594,
151
+ "stdev": 0.000282989501953157,
152
+ "p50": 0.5956224060058594,
153
+ "p90": 0.5958487976074219,
154
+ "p95": 0.5958770965576172,
155
+ "p99": 0.5958997357177734,
156
  "values": [
157
+ 0.5959053955078125,
158
+ 0.5953394165039062
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "images/s",
163
+ "value": 1.6789160211514316
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 7.0587342270834036e-06,
168
+ "ram": 3.85911045399709e-06,
169
+ "gpu": 3.89179478010003e-05,
170
+ "total": 4.983579248208079e-05
171
  },
172
  "efficiency": {
173
  "unit": "images/kWh",
174
+ "value": 20065.899430806985
175
  }
176
  }
177
  }