Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
4c1c616
·
verified ·
1 Parent(s): ffb67e3

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": 4272.709632,
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": 48.570140625,
15
- "mean": 48.570140625,
16
  "stdev": 0.0,
17
- "p50": 48.570140625,
18
- "p90": 48.570140625,
19
- "p95": 48.570140625,
20
- "p99": 48.570140625,
21
  "values": [
22
- 48.570140625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 0.00048739335261250026,
29
- "ram": 0.0002671144212805104,
30
- "gpu": 0.0007034213960700007,
31
- "total": 0.0014579291699630113
32
  },
33
  "efficiency": null
34
  },
35
  "call": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1449.009152,
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": 1.1975839233398435,
48
- "mean": 0.5987919616699218,
49
- "stdev": 0.0004411315917968728,
50
- "p50": 0.5987919616699218,
51
- "p90": 0.5991448669433593,
52
- "p95": 0.599188980102539,
53
- "p99": 0.5992242706298827,
54
  "values": [
55
- 0.5992330932617187,
56
- 0.598350830078125
57
  ]
58
  },
59
  "throughput": {
60
  "unit": "images/s",
61
- "value": 1.6700290986057695
62
  },
63
  "energy": {
64
  "unit": "kWh",
65
- "cpu": 7.086155711111374e-06,
66
- "ram": 3.875321513795497e-06,
67
- "gpu": 3.835864179799978e-05,
68
- "total": 4.932011902290666e-05
69
  },
70
  "efficiency": {
71
  "unit": "images/kWh",
72
- "value": 20275.70127183901
73
  }
74
  }
75
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 4289.2288,
6
+ "max_global_vram": 6180.831232,
7
  "max_process_vram": 0.0,
8
+ "max_reserved": 5595.201536,
9
+ "max_allocated": 5507.129344
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 57.38903125,
15
+ "mean": 57.38903125,
16
  "stdev": 0.0,
17
+ "p50": 57.38903125,
18
+ "p90": 57.38903125,
19
+ "p95": 57.38903125,
20
+ "p99": 57.38903125,
21
  "values": [
22
+ 57.38903125
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 0.0005910238121881942,
29
+ "ram": 0.0003238960422645959,
30
+ "gpu": 0.0007854236838940008,
31
+ "total": 0.0017003435383467908
32
  },
33
  "efficiency": null
34
  },
35
  "call": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1468.522496,
39
+ "max_global_vram": 8535.932928,
40
  "max_process_vram": 0.0,
41
+ "max_reserved": 7891.582976,
42
+ "max_allocated": 6593.443328
43
  },
44
  "latency": {
45
  "unit": "s",
46
  "count": 2,
47
+ "total": 1.1908040161132813,
48
+ "mean": 0.5954020080566407,
49
+ "stdev": 0.0008652648925781548,
50
+ "p50": 0.5954020080566407,
51
+ "p90": 0.5960942199707031,
52
+ "p95": 0.596180746459961,
53
+ "p99": 0.5962499676513672,
54
  "values": [
55
+ 0.5962672729492188,
56
+ 0.5945367431640625
57
  ]
58
  },
59
  "throughput": {
60
  "unit": "images/s",
61
+ "value": 1.6795374998212467
62
  },
63
  "energy": {
64
  "unit": "kWh",
65
+ "cpu": 7.048258744444327e-06,
66
+ "ram": 3.854952785030996e-06,
67
+ "gpu": 3.79301692329994e-05,
68
+ "total": 4.8833380762474716e-05
69
  },
70
  "efficiency": {
71
  "unit": "images/kWh",
72
+ "value": 20477.795810697487
73
  }
74
  }
75
  }