IlyasMoutawwakil HF staff commited on
Commit
1d38993
·
verified ·
1 Parent(s): e1c5c88

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

Browse files
cuda_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark_report.json CHANGED
@@ -2,41 +2,41 @@
2
  "call": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1314.873344,
6
- "max_global_vram": 8150.05696,
7
  "max_process_vram": 0.0,
8
- "max_reserved": 7495.221248,
9
- "max_allocated": 6531.774464
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 2,
14
- "total": 1.30742138671875,
15
- "mean": 0.653710693359375,
16
- "stdev": 0.004318847656250013,
17
- "p50": 0.653710693359375,
18
- "p90": 0.657165771484375,
19
- "p95": 0.65759765625,
20
- "p99": 0.6579431640625001,
21
  "values": [
22
- 0.658029541015625,
23
- 0.649391845703125
24
  ]
25
  },
26
  "throughput": {
27
  "unit": "images/s",
28
- "value": 1.5297286860355115
29
  },
30
  "energy": {
31
  "unit": "kWh",
32
- "cpu": 7.698060406578912e-06,
33
- "ram": 4.2110191841857155e-06,
34
- "gpu": 4.149558875200018e-05,
35
- "total": 5.3404668342764804e-05
36
  },
37
  "efficiency": {
38
  "unit": "images/kWh",
39
- "value": 18724.95478450956
40
  }
41
  }
42
  }
 
2
  "call": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1316.814848,
6
+ "max_global_vram": 8179.417088,
7
  "max_process_vram": 0.0,
8
+ "max_reserved": 7524.581376,
9
+ "max_allocated": 6525.810688
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 2,
14
+ "total": 1.2723974609375,
15
+ "mean": 0.63619873046875,
16
+ "stdev": 0.0011849365234374853,
17
+ "p50": 0.63619873046875,
18
+ "p90": 0.6371466796875,
19
+ "p95": 0.6372651733398438,
20
+ "p99": 0.6373599682617188,
21
  "values": [
22
+ 0.6373836669921875,
23
+ 0.6350137939453125
24
  ]
25
  },
26
  "throughput": {
27
  "unit": "images/s",
28
+ "value": 1.571835893578728
29
  },
30
  "energy": {
31
  "unit": "kWh",
32
+ "cpu": 7.5477066967222424e-06,
33
+ "ram": 4.114147827749548e-06,
34
+ "gpu": 4.0993505017000026e-05,
35
+ "total": 5.2655359541471814e-05
36
  },
37
  "efficiency": {
38
  "unit": "images/kWh",
39
+ "value": 18991.41908265561
40
  }
41
  }
42
  }