Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
315f223
·
verified ·
1 Parent(s): f2a81a3

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 -32
cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark_report.json CHANGED
@@ -2,75 +2,75 @@
2
  "load_model": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 4317.249536,
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
- 72.1429296875
15
  ],
16
  "count": 1,
17
- "total": 72.1429296875,
18
- "mean": 72.1429296875,
19
- "p50": 72.1429296875,
20
- "p90": 72.1429296875,
21
- "p95": 72.1429296875,
22
- "p99": 72.1429296875,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
26
  "throughput": null,
27
  "energy": {
28
  "unit": "kWh",
29
- "cpu": 0.0009564845018250003,
30
- "ram": 0.0005242172852186612,
31
- "gpu": 0.0013056468778499999,
32
- "total": 0.0027863486648936615
33
  },
34
  "efficiency": null
35
  },
36
  "call": {
37
  "memory": {
38
  "unit": "MB",
39
- "max_ram": 1542.213632,
40
- "max_global_vram": 9298.24768,
41
  "max_process_vram": 0.0,
42
- "max_reserved": 8646.557696,
43
- "max_allocated": 7542.57408
44
  },
45
  "latency": {
46
  "unit": "s",
47
  "values": [
48
- 1.2303402099609375
49
  ],
50
  "count": 1,
51
- "total": 1.2303402099609375,
52
- "mean": 1.2303402099609375,
53
- "p50": 1.2303402099609375,
54
- "p90": 1.2303402099609375,
55
- "p95": 1.2303402099609375,
56
- "p99": 1.2303402099609375,
57
  "stdev": 0,
58
  "stdev_": 0
59
  },
60
  "throughput": {
61
  "unit": "images/s",
62
- "value": 1.6255666390546553
63
  },
64
  "energy": {
65
  "unit": "kWh",
66
- "cpu": 1.4604427822916695e-05,
67
- "ram": 7.984391675399354e-06,
68
- "gpu": 7.89420075980006e-05,
69
- "total": 0.00010153082709631666
70
  },
71
  "efficiency": {
72
  "unit": "images/kWh",
73
- "value": 19698.450777936745
74
  }
75
  }
76
  }
 
2
  "load_model": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 4239.720448,
6
+ "max_global_vram": 6165.102592,
7
  "max_process_vram": 0.0,
8
+ "max_reserved": 5572.132864,
9
+ "max_allocated": 5512.962048
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 90.2438359375
15
  ],
16
  "count": 1,
17
+ "total": 90.2438359375,
18
+ "mean": 90.2438359375,
19
+ "p50": 90.2438359375,
20
+ "p90": 90.2438359375,
21
+ "p95": 90.2438359375,
22
+ "p99": 90.2438359375,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
26
  "throughput": null,
27
  "energy": {
28
  "unit": "kWh",
29
+ "cpu": 0.0011706991127229172,
30
+ "ram": 0.0006416267536614948,
31
+ "gpu": 0.0015315053918700007,
32
+ "total": 0.003343831258254413
33
  },
34
  "efficiency": null
35
  },
36
  "call": {
37
  "memory": {
38
  "unit": "MB",
39
+ "max_ram": 1504.329728,
40
+ "max_global_vram": 9306.636288,
41
  "max_process_vram": 0.0,
42
+ "max_reserved": 8654.946304,
43
+ "max_allocated": 7542.2464
44
  },
45
  "latency": {
46
  "unit": "s",
47
  "values": [
48
+ 1.2109056396484374
49
  ],
50
  "count": 1,
51
+ "total": 1.2109056396484374,
52
+ "mean": 1.2109056396484374,
53
+ "p50": 1.2109056396484374,
54
+ "p90": 1.2109056396484374,
55
+ "p95": 1.2109056396484374,
56
+ "p99": 1.2109056396484374,
57
  "stdev": 0,
58
  "stdev_": 0
59
  },
60
  "throughput": {
61
  "unit": "images/s",
62
+ "value": 1.6516563591038032
63
  },
64
  "energy": {
65
  "unit": "kWh",
66
+ "cpu": 1.4516877209027213e-05,
67
+ "ram": 7.923251016932458e-06,
68
+ "gpu": 7.97886749419989e-05,
69
+ "total": 0.00010222880316795857
70
  },
71
  "efficiency": {
72
  "unit": "images/kWh",
73
+ "value": 19563.957886840028
74
  }
75
  }
76
  }