IlyasMoutawwakil HF staff commited on
Commit
ba4d87a
·
verified ·
1 Parent(s): e15902f

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+cu124",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-to-image",
9
  "library": "diffusers",
@@ -104,7 +104,7 @@
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
- "max_ram": 4273.352704,
108
  "max_global_vram": 6189.21984,
109
  "max_process_vram": 0.0,
110
  "max_reserved": 5603.590144,
@@ -113,32 +113,32 @@
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
- "total": 46.707484375,
117
- "mean": 46.707484375,
118
  "stdev": 0.0,
119
- "p50": 46.707484375,
120
- "p90": 46.707484375,
121
- "p95": 46.707484375,
122
- "p99": 46.707484375,
123
  "values": [
124
- 46.707484375
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
- "cpu": 0.0004656079705381941,
131
- "ram": 0.0002551780221222879,
132
- "gpu": 0.0006681305345040004,
133
- "total": 0.0013889165271644824
134
  },
135
  "efficiency": null
136
  },
137
  "call": {
138
  "memory": {
139
  "unit": "MB",
140
- "max_ram": 1467.420672,
141
- "max_global_vram": 8544.321536,
142
  "max_process_vram": 0.0,
143
  "max_reserved": 7899.971584,
144
  "max_allocated": 6594.098688
@@ -146,32 +146,32 @@
146
  "latency": {
147
  "unit": "s",
148
  "count": 2,
149
- "total": 1.1975178833007813,
150
- "mean": 0.5987589416503907,
151
- "stdev": 0.00042831420898437056,
152
- "p50": 0.5987589416503907,
153
- "p90": 0.5991015930175781,
154
- "p95": 0.5991444244384766,
155
- "p99": 0.5991786895751954,
156
  "values": [
157
- 0.5983306274414063,
158
- 0.599187255859375
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "images/s",
163
- "value": 1.6701211964261402
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 7.089807045486652e-06,
168
- "ram": 3.877292116339251e-06,
169
- "gpu": 3.869850318100011e-05,
170
- "total": 4.9665602342826014e-05
171
  },
172
  "efficiency": {
173
  "unit": "images/kWh",
174
- "value": 20134.659660368456
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+cu121",
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": 4276.150272,
108
  "max_global_vram": 6189.21984,
109
  "max_process_vram": 0.0,
110
  "max_reserved": 5603.590144,
 
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
+ "total": 43.6558046875,
117
+ "mean": 43.6558046875,
118
  "stdev": 0.0,
119
+ "p50": 43.6558046875,
120
+ "p90": 43.6558046875,
121
+ "p95": 43.6558046875,
122
+ "p99": 43.6558046875,
123
  "values": [
124
+ 43.6558046875
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
+ "cpu": 0.0004287566529048604,
131
+ "ram": 0.0002349572749692299,
132
+ "gpu": 0.0005922238071119999,
133
+ "total": 0.0012559377349860902
134
  },
135
  "efficiency": null
136
  },
137
  "call": {
138
  "memory": {
139
  "unit": "MB",
140
+ "max_ram": 1389.559808,
141
+ "max_global_vram": 8546.418688,
142
  "max_process_vram": 0.0,
143
  "max_reserved": 7899.971584,
144
  "max_allocated": 6594.098688
 
146
  "latency": {
147
  "unit": "s",
148
  "count": 2,
149
+ "total": 1.3349193115234375,
150
+ "mean": 0.6674596557617187,
151
+ "stdev": 0.000995849609374988,
152
+ "p50": 0.6674596557617187,
153
+ "p90": 0.6682563354492188,
154
+ "p95": 0.6683559204101562,
155
+ "p99": 0.6684355883789063,
156
  "values": [
157
+ 0.6684555053710938,
158
+ 0.6664638061523438
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "images/s",
163
+ "value": 1.4982178943216866
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 7.897710954860788e-06,
168
+ "ram": 4.320548890458073e-06,
169
+ "gpu": 4.214447815999991e-05,
170
+ "total": 5.4362738005318775e-05
171
  },
172
  "efficiency": {
173
  "unit": "images/kWh",
174
+ "value": 18394.952805764886
175
  }
176
  }
177
  }