Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
2b00afb
·
verified ·
1 Parent(s): 1142888

Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json +45 -45
cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1312.428032,
6
  "max_global_vram": 3176.660992,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2520.776704,
@@ -11,42 +11,42 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.33555252075195313,
15
- 0.04463302230834961,
16
- 0.0445665283203125,
17
- 0.043512832641601565,
18
- 0.044183551788330076
19
  ],
20
  "count": 5,
21
- "total": 0.5124484558105469,
22
- "mean": 0.10248969116210938,
23
- "p50": 0.0445665283203125,
24
- "p90": 0.21918472137451173,
25
- "p95": 0.27736862106323235,
26
- "p99": 0.323915740814209,
27
- "stdev": 0.11653209445513116,
28
- "stdev_": 113.70128364501628
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 97.57078869701013
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 8.425317063888944e-06,
37
- "ram": 4.5968524418043354e-06,
38
- "gpu": 1.4197789135999683e-05,
39
- "total": 2.7219958641692962e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 367377.4869254557
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1312.428032,
50
  "max_global_vram": 3176.660992,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2520.776704,
@@ -55,22 +55,22 @@
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.33555252075195313,
59
- 0.04463302230834961
60
  ],
61
  "count": 2,
62
- "total": 0.3801855430603027,
63
- "mean": 0.19009277153015136,
64
- "p50": 0.19009277153015136,
65
- "p90": 0.30646057090759277,
66
- "p95": 0.32100654582977295,
67
- "p99": 0.3326433257675171,
68
- "stdev": 0.14545974922180174,
69
- "stdev_": 76.5204000398983
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 21.0423572017074
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1312.428032,
82
  "max_global_vram": 3176.660992,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2520.776704,
@@ -87,23 +87,23 @@
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.0445665283203125,
91
- 0.043512832641601565,
92
- 0.044183551788330076
93
  ],
94
  "count": 3,
95
- "total": 0.13226291275024415,
96
- "mean": 0.04408763758341472,
97
- "p50": 0.044183551788330076,
98
- "p90": 0.044489933013916017,
99
- "p95": 0.044528230667114255,
100
- "p99": 0.04455886878967285,
101
- "stdev": 0.0004354831009824485,
102
- "stdev_": 0.987766922549446
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 136.09257217849054
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1312.17408,
6
  "max_global_vram": 3176.660992,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2520.776704,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.33758514404296874,
15
+ 0.04418867111206055,
16
+ 0.043660289764404295,
17
+ 0.043170814514160154,
18
+ 0.04313907241821289
19
  ],
20
  "count": 5,
21
+ "total": 0.5117439918518066,
22
+ "mean": 0.10234879837036133,
23
+ "p50": 0.043660289764404295,
24
+ "p90": 0.2202265548706055,
25
+ "p95": 0.27890584945678704,
26
+ "p99": 0.3258492851257324,
27
+ "stdev": 0.11761879542922467,
28
+ "stdev_": 114.91956652349454
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 97.70510410697551
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 8.45161746875035e-06,
37
+ "ram": 4.596141122005905e-06,
38
+ "gpu": 1.3649455364000106e-05,
39
+ "total": 2.669721395475636e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 374570.9202820546
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1312.17408,
50
  "max_global_vram": 3176.660992,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2520.776704,
 
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.33758514404296874,
59
+ 0.04418867111206055
60
  ],
61
  "count": 2,
62
+ "total": 0.3817738151550293,
63
+ "mean": 0.19088690757751464,
64
+ "p50": 0.19088690757751464,
65
+ "p90": 0.30824549674987795,
66
+ "p95": 0.32291532039642334,
67
+ "p99": 0.3346511793136597,
68
+ "stdev": 0.1466982364654541,
69
+ "stdev_": 76.85086333429308
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.954815868530403
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1312.17408,
82
  "max_global_vram": 3176.660992,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2520.776704,
 
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.043660289764404295,
91
+ 0.043170814514160154,
92
+ 0.04313907241821289
93
  ],
94
  "count": 3,
95
+ "total": 0.12997017669677732,
96
+ "mean": 0.04332339223225911,
97
+ "p50": 0.043170814514160154,
98
+ "p90": 0.04356239471435547,
99
+ "p95": 0.04361134223937988,
100
+ "p99": 0.043650500259399413,
101
+ "stdev": 0.00023857472699054138,
102
+ "stdev_": 0.5506833945770659
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 138.49331021526817
107
  },
108
  "energy": null,
109
  "efficiency": null