IlyasMoutawwakil HF staff commited on
Commit
a0613ad
·
verified ·
1 Parent(s): bb99420

Upload cuda_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub

Browse files
cuda_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json CHANGED
@@ -104,41 +104,41 @@
104
  "call": {
105
  "memory": {
106
  "unit": "MB",
107
- "max_ram": 1315.844096,
108
- "max_global_vram": 8145.862656,
109
  "max_process_vram": 0.0,
110
- "max_reserved": 7491.026944,
111
- "max_allocated": 6528.9728
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 2,
116
- "total": 1.2806593627929688,
117
- "mean": 0.6403296813964844,
118
- "stdev": 0.0006734924316406099,
119
- "p50": 0.6403296813964844,
120
- "p90": 0.6408684753417969,
121
- "p95": 0.6409358245849609,
122
- "p99": 0.6409897039794922,
123
  "values": [
124
- 0.641003173828125,
125
- 0.6396561889648438
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "images/s",
130
- "value": 1.5616955281834142
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
- "cpu": 7.540903654363421e-06,
135
- "ram": 4.1249265672377075e-06,
136
- "gpu": 4.324836793199961e-05,
137
- "total": 5.4914198153600736e-05
138
  },
139
  "efficiency": {
140
  "unit": "images/kWh",
141
- "value": 18210.22674687693
142
  }
143
  }
144
  }
 
104
  "call": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 1318.64576,
108
+ "max_global_vram": 8150.05696,
109
  "max_process_vram": 0.0,
110
+ "max_reserved": 7495.221248,
111
+ "max_allocated": 6531.774464
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 2,
116
+ "total": 1.3052477416992188,
117
+ "mean": 0.6526238708496094,
118
+ "stdev": 0.0013252868652343652,
119
+ "p50": 0.6526238708496094,
120
+ "p90": 0.6536841003417969,
121
+ "p95": 0.6538166290283203,
122
+ "p99": 0.6539226519775391,
123
  "values": [
124
+ 0.6539491577148437,
125
+ 0.651298583984375
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "images/s",
130
+ "value": 1.5322761619156893
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
+ "cpu": 7.695096565617456e-06,
135
+ "ram": 4.209429447382717e-06,
136
+ "gpu": 4.1883366840000155e-05,
137
+ "total": 5.378789285300033e-05
138
  },
139
  "efficiency": {
140
  "unit": "images/kWh",
141
+ "value": 18591.544434227068
142
  }
143
  }
144
  }