Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
de46fec
·
verified ·
1 Parent(s): 91477dd

Upload cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark_report.json +34 -34
cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark_report.json CHANGED
@@ -2,74 +2,74 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 4263.428096,
6
- "max_global_vram": 6161.956864,
7
  "max_process_vram": 0.0,
8
- "max_reserved": 5576.327168,
9
- "max_allocated": 5510.79936
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 61.62963671875,
15
- "mean": 61.62963671875,
16
  "stdev": 0.0,
17
- "p50": 61.62963671875,
18
- "p90": 61.62963671875,
19
- "p95": 61.62963671875,
20
- "p99": 61.62963671875,
21
  "values": [
22
- 61.62963671875
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 0.0006410861959944439,
29
- "ram": 0.00035135542238109627,
30
- "gpu": 0.0009112562845600006,
31
- "total": 0.0019036979029355408
32
  },
33
  "efficiency": null
34
  },
35
  "call": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1370.46016,
39
- "max_global_vram": 8519.155712,
40
  "max_process_vram": 0.0,
41
- "max_reserved": 7872.708608,
42
- "max_allocated": 6596.457984
43
  },
44
  "latency": {
45
  "unit": "s",
46
  "count": 2,
47
- "total": 1.3321500244140625,
48
- "mean": 0.6660750122070312,
49
- "stdev": 0.0003032836914061976,
50
- "p50": 0.6660750122070312,
51
- "p90": 0.6663176391601562,
52
- "p95": 0.6663479675292968,
53
- "p99": 0.6663722302246093,
54
  "values": [
55
- 0.665771728515625,
56
- 0.6663782958984374
57
  ]
58
  },
59
  "throughput": {
60
  "unit": "images/s",
61
- "value": 1.5013324050192371
62
  },
63
  "energy": {
64
  "unit": "kWh",
65
- "cpu": 7.888062303819548e-06,
66
- "ram": 4.315278815875561e-06,
67
- "gpu": 4.286975651800022e-05,
68
- "total": 5.507309763769533e-05
69
  },
70
  "efficiency": {
71
  "unit": "images/kWh",
72
- "value": 18157.685746652827
73
  }
74
  }
75
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 4251.344896,
6
+ "max_global_vram": 6149.373952,
7
  "max_process_vram": 0.0,
8
+ "max_reserved": 5563.744256,
9
+ "max_allocated": 5512.880128
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 65.2191875,
15
+ "mean": 65.2191875,
16
  "stdev": 0.0,
17
+ "p50": 65.2191875,
18
+ "p90": 65.2191875,
19
+ "p95": 65.2191875,
20
+ "p99": 65.2191875,
21
  "values": [
22
+ 65.2191875
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 0.0006835420934138879,
29
+ "ram": 0.00037462545412240403,
30
+ "gpu": 0.0009499754822020002,
31
+ "total": 0.002008143029738292
32
  },
33
  "efficiency": null
34
  },
35
  "call": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1360.781312,
39
+ "max_global_vram": 8517.05856,
40
  "max_process_vram": 0.0,
41
+ "max_reserved": 7870.611456,
42
+ "max_allocated": 6598.538752
43
  },
44
  "latency": {
45
  "unit": "s",
46
  "count": 2,
47
+ "total": 1.3861892700195313,
48
+ "mean": 0.6930946350097656,
49
+ "stdev": 0.00029690551757810546,
50
+ "p50": 0.6930946350097656,
51
+ "p90": 0.6933321594238281,
52
+ "p95": 0.6933618499755859,
53
+ "p99": 0.6933856024169922,
54
  "values": [
55
+ 0.6927977294921875,
56
+ 0.6933915405273438
57
  ]
58
  },
59
  "throughput": {
60
  "unit": "images/s",
61
+ "value": 1.442804415858608
62
  },
63
  "energy": {
64
  "unit": "kWh",
65
+ "cpu": 8.210872812847312e-06,
66
+ "ram": 4.492281551872584e-06,
67
+ "gpu": 4.110892177599992e-05,
68
+ "total": 5.381207614071981e-05
69
  },
70
  "efficiency": {
71
  "unit": "images/kWh",
72
+ "value": 18583.189345547216
73
  }
74
  }
75
  }