Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
34ccce2
·
verified ·
1 Parent(s): 9410412

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 +32 -38
cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark_report.json CHANGED
@@ -2,76 +2,70 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 4297.54368,
6
- "max_global_vram": 6156.713984,
7
  "max_process_vram": 0.0,
8
- "max_reserved": 5563.744256,
9
- "max_allocated": 5512.880128
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 44.704015625
15
  ],
16
  "count": 1,
17
- "total": 44.704015625,
18
- "mean": 44.704015625,
19
- "p50": 44.704015625,
20
- "p90": 44.704015625,
21
- "p95": 44.704015625,
22
- "p99": 44.704015625,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
26
  "throughput": null,
27
- "energy": {
28
- "unit": "kWh",
29
- "cpu": 0.000430911675152779,
30
- "ram": 0.00023615740471012462,
31
- "gpu": 0.0005864488024919998,
32
- "total": 0.0012535178823549033
33
- },
34
  "efficiency": null
35
  },
36
  "call": {
37
  "memory": {
38
  "unit": "MB",
39
- "max_ram": 1488.297984,
40
- "max_global_vram": 8522.30144,
41
  "max_process_vram": 0.0,
42
- "max_reserved": 7870.611456,
43
- "max_allocated": 6598.538752
44
  },
45
  "latency": {
46
  "unit": "s",
47
  "values": [
48
- 0.6168572998046875,
49
- 0.617207763671875
50
  ],
51
  "count": 2,
52
- "total": 1.2340650634765624,
53
- "mean": 0.6170325317382812,
54
- "p50": 0.6170325317382812,
55
- "p90": 0.6171727172851563,
56
- "p95": 0.6171902404785157,
57
- "p99": 0.6172042590332032,
58
- "stdev": 0.00017523193359375577,
59
- "stdev_": 0.028399140171766774
60
  },
61
  "throughput": {
62
  "unit": "images/s",
63
- "value": 1.62066009256082
64
  },
65
  "energy": {
66
  "unit": "kWh",
67
- "cpu": 7.304633873263692e-06,
68
- "ram": 3.993354563717342e-06,
69
- "gpu": 4.0257671095000024e-05,
70
- "total": 5.155565953198106e-05
71
  },
72
  "efficiency": {
73
  "unit": "images/kWh",
74
- "value": 19396.512605559412
75
  }
76
  }
77
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 4313.92768,
6
+ "max_global_vram": 6196.559872,
7
  "max_process_vram": 0.0,
8
+ "max_reserved": 5603.590144,
9
+ "max_allocated": 5508.440064
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 65.4043828125
15
  ],
16
  "count": 1,
17
+ "total": 65.4043828125,
18
+ "mean": 65.4043828125,
19
+ "p50": 65.4043828125,
20
+ "p90": 65.4043828125,
21
+ "p95": 65.4043828125,
22
+ "p99": 65.4043828125,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
26
  "throughput": null,
27
+ "energy": null,
 
 
 
 
 
 
28
  "efficiency": null
29
  },
30
  "call": {
31
  "memory": {
32
  "unit": "MB",
33
+ "max_ram": 1508.352,
34
+ "max_global_vram": 8551.661568,
35
  "max_process_vram": 0.0,
36
+ "max_reserved": 7899.971584,
37
+ "max_allocated": 6594.098688
38
  },
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
+ 0.5976727294921875,
43
+ 0.5987113037109375
44
  ],
45
  "count": 2,
46
+ "total": 1.196384033203125,
47
+ "mean": 0.5981920166015625,
48
+ "p50": 0.5981920166015625,
49
+ "p90": 0.5986074462890625,
50
+ "p95": 0.598659375,
51
+ "p99": 0.59870091796875,
52
+ "stdev": 0.0005192871093749885,
53
+ "stdev_": 0.08680943492445
54
  },
55
  "throughput": {
56
  "unit": "images/s",
57
+ "value": 1.6717040218643866
58
  },
59
  "energy": {
60
  "unit": "kWh",
61
+ "cpu": 7.1039213131946215e-06,
62
+ "ram": 3.880411791891627e-06,
63
+ "gpu": 3.967336507199916e-05,
64
+ "total": 5.0657698177085406e-05
65
  },
66
  "efficiency": {
67
  "unit": "images/kWh",
68
+ "value": 19740.336335541233
69
  }
70
  }
71
  }