IlyasMoutawwakil HF staff commited on
Commit
688bd1e
·
verified ·
1 Parent(s): bf5d550

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": 1306.148864,
108
- "max_global_vram": 8204.582912,
109
  "max_process_vram": 0.0,
110
- "max_reserved": 7549.7472,
111
- "max_allocated": 6519.126016
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 2,
116
- "total": 1.2894130859375,
117
- "mean": 0.64470654296875,
118
- "stdev": 0.00036303710937496403,
119
- "p50": 0.64470654296875,
120
- "p90": 0.64499697265625,
121
- "p95": 0.6450332763671874,
122
- "p99": 0.6450623193359375,
123
  "values": [
124
- 0.645069580078125,
125
- 0.644343505859375
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "images/s",
130
- "value": 1.5510933011400687
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
- "cpu": 7.63260962234603e-06,
135
- "ram": 4.172180292591274e-06,
136
- "gpu": 4.3389618045000175e-05,
137
- "total": 5.519440795993748e-05
138
  },
139
  "efficiency": {
140
  "unit": "images/kWh",
141
- "value": 18117.77745176366
142
  }
143
  }
144
  }
 
104
  "call": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 1305.833472,
108
+ "max_global_vram": 8143.765504,
109
  "max_process_vram": 0.0,
110
+ "max_reserved": 7488.929792,
111
+ "max_allocated": 6529.611776
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 2,
116
+ "total": 1.3016765136718749,
117
+ "mean": 0.6508382568359374,
118
+ "stdev": 0.003937499999999983,
119
+ "p50": 0.6508382568359374,
120
+ "p90": 0.6539882568359375,
121
+ "p95": 0.6543820068359375,
122
+ "p99": 0.6546970068359375,
123
  "values": [
124
+ 0.6547757568359375,
125
+ 0.6469007568359375
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "images/s",
130
+ "value": 1.5364800539868677
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
+ "cpu": 7.655291590425705e-06,
135
+ "ram": 4.187643393868588e-06,
136
+ "gpu": 4.186808904999874e-05,
137
+ "total": 5.371102403429303e-05
138
  },
139
  "efficiency": {
140
  "unit": "images/kWh",
141
+ "value": 18618.151822268872
142
  }
143
  }
144
  }