Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
74117ff
·
verified ·
1 Parent(s): 98710c1

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": 4233.506816,
6
- "max_global_vram": 6157.76256,
7
  "max_process_vram": 0.0,
8
- "max_reserved": 5572.132864,
9
- "max_allocated": 5512.962048
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 68.9987109375,
15
- "mean": 68.9987109375,
16
  "stdev": 0.0,
17
- "p50": 68.9987109375,
18
- "p90": 68.9987109375,
19
- "p95": 68.9987109375,
20
- "p99": 68.9987109375,
21
  "values": [
22
- 68.9987109375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 0.0007269286956888899,
29
- "ram": 0.00039840497254959814,
30
- "gpu": 0.0010310405470540006,
31
- "total": 0.0021563742152924887
32
  },
33
  "efficiency": null
34
  },
35
  "call": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1430.192128,
39
- "max_global_vram": 8523.350016,
40
  "max_process_vram": 0.0,
41
- "max_reserved": 7879.000064,
42
- "max_allocated": 6598.620672
43
  },
44
  "latency": {
45
  "unit": "s",
46
  "count": 2,
47
- "total": 1.2135314331054687,
48
- "mean": 0.6067657165527344,
49
- "stdev": 0.0005254821777344043,
50
- "p50": 0.6067657165527344,
51
- "p90": 0.6071861022949219,
52
- "p95": 0.6072386505126953,
53
- "p99": 0.6072806890869141,
54
  "values": [
55
- 0.606240234375,
56
- 0.6072911987304688
57
  ]
58
  },
59
  "throughput": {
60
  "unit": "images/s",
61
- "value": 1.6480825674881212
62
  },
63
  "energy": {
64
  "unit": "kWh",
65
- "cpu": 7.185379215624721e-06,
66
- "ram": 3.9301055993816e-06,
67
- "gpu": 4.080072708499997e-05,
68
- "total": 5.191621190000629e-05
69
  },
70
  "efficiency": {
71
  "unit": "images/kWh",
72
- "value": 19261.805963926246
73
  }
74
  }
75
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 4291.964928,
6
+ "max_global_vram": 6212.288512,
7
  "max_process_vram": 0.0,
8
+ "max_reserved": 5626.658816,
9
+ "max_allocated": 5500.3136
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 43.8593046875,
15
+ "mean": 43.8593046875,
16
  "stdev": 0.0,
17
+ "p50": 43.8593046875,
18
+ "p90": 43.8593046875,
19
+ "p95": 43.8593046875,
20
+ "p99": 43.8593046875,
21
  "values": [
22
+ 43.8593046875
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 0.00043143587678749914,
29
+ "ram": 0.0002364487598985866,
30
+ "gpu": 0.0006310852270900004,
31
+ "total": 0.0012989698637760861
32
  },
33
  "efficiency": null
34
  },
35
  "call": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1469.09184,
39
+ "max_global_vram": 8577.875968,
40
  "max_process_vram": 0.0,
41
+ "max_reserved": 7933.526016,
42
+ "max_allocated": 6585.972224
43
  },
44
  "latency": {
45
  "unit": "s",
46
  "count": 2,
47
+ "total": 1.1996283569335937,
48
+ "mean": 0.5998141784667969,
49
+ "stdev": 0.0010168762207031223,
50
+ "p50": 0.5998141784667969,
51
+ "p90": 0.6006276794433594,
52
+ "p95": 0.6007293670654297,
53
+ "p99": 0.6008107171630859,
54
  "values": [
55
+ 0.6008310546875,
56
+ 0.5987973022460937
57
  ]
58
  },
59
  "throughput": {
60
  "unit": "images/s",
61
+ "value": 1.6671829975012098
62
  },
63
  "energy": {
64
  "unit": "kWh",
65
+ "cpu": 7.0865651100692084e-06,
66
+ "ram": 3.8760997791898025e-06,
67
+ "gpu": 4.150517209300028e-05,
68
+ "total": 5.246783698225929e-05
69
  },
70
  "efficiency": {
71
  "unit": "images/kWh",
72
+ "value": 19059.295322925653
73
  }
74
  }
75
  }