Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
0e70619
·
verified ·
1 Parent(s): b1925f8

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json +84 -82
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,99 +2,101 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1027.723264,
6
  "max_global_vram": 2103.222272,
7
- "max_process_vram": 258937.07776,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 71,
14
- "total": 1.0006878757476811,
15
- "mean": 0.014094195433065925,
16
- "stdev": 0.00042216359736077654,
17
- "p50": 0.014068644523620605,
18
- "p90": 0.014357125282287598,
19
- "p95": 0.014371204853057862,
20
- "p99": 0.015403797626495354,
21
  "values": [
22
- 0.01427584457397461,
23
- 0.013833285331726074,
24
- 0.01394608497619629,
25
- 0.01395744514465332,
26
- 0.013907364845275879,
27
- 0.01390512466430664,
28
- 0.013843045234680176,
29
- 0.013790884971618652,
30
- 0.013685444831848144,
31
- 0.013641124725341796,
32
- 0.013612165451049804,
33
- 0.013642245292663575,
34
- 0.013675363540649414,
35
- 0.013719044685363769,
36
- 0.013625764846801757,
37
- 0.01363984489440918,
38
- 0.013572484970092773,
39
- 0.01410880470275879,
40
- 0.014357125282287598,
41
- 0.014143364906311035,
42
- 0.017177766799926757,
43
- 0.014643525123596192,
44
- 0.014084485054016114,
45
- 0.014051685333251953,
46
- 0.014180166244506836,
47
- 0.014014084815979004,
48
- 0.014068644523620605,
49
- 0.014202565193176269,
50
- 0.014010085105895995,
51
- 0.014104004859924316,
52
- 0.01404976463317871,
53
- 0.014049284934997559,
54
- 0.014024325370788574,
55
- 0.014073124885559082,
56
- 0.014280804634094238,
57
- 0.01406832504272461,
58
- 0.014107685089111328,
59
- 0.01408304500579834,
60
- 0.014287364959716798,
61
- 0.014061285018920898,
62
- 0.014041765213012695,
63
- 0.013979044914245606,
64
- 0.01404864501953125,
65
- 0.01404256534576416,
66
- 0.014362244606018067,
67
- 0.01404768466949463,
68
- 0.014043205261230469,
69
- 0.014115525245666503,
70
- 0.014072645187377929,
71
- 0.014357284545898437,
72
- 0.014060005187988282,
73
- 0.01405568504333496,
74
- 0.014053765296936036,
75
- 0.014052804946899413,
76
- 0.014360806465148927,
77
- 0.014097125053405761,
78
- 0.014080485343933106,
79
- 0.014071684837341308,
80
- 0.014059684753417968,
81
- 0.014391044616699218,
82
- 0.014117924690246583,
83
- 0.0141027250289917,
84
- 0.014149444580078125,
85
- 0.014258245468139648,
86
- 0.014101605415344238,
87
- 0.014132004737854004,
88
- 0.014193764686584473,
89
- 0.014082884788513184,
90
- 0.014380165100097656,
91
- 0.014151365280151366,
92
- 0.014120163917541504
 
 
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
- "value": 70.95119439410732
98
  },
99
  "energy": null,
100
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1027.145728,
6
  "max_global_vram": 2103.222272,
7
+ "max_process_vram": 248110.108672,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 73,
14
+ "total": 1.0082166709899902,
15
+ "mean": 0.013811187273835483,
16
+ "stdev": 0.000726266533702998,
17
+ "p50": 0.013699226379394532,
18
+ "p90": 0.014690171813964844,
19
+ "p95": 0.01480133991241455,
20
+ "p99": 0.01564074661254883,
21
  "values": [
22
+ 0.014002266883850098,
23
+ 0.014975869178771972,
24
+ 0.014791708946228027,
25
+ 0.014942428588867188,
26
+ 0.014267547607421875,
27
+ 0.014693947792053222,
28
+ 0.014613788604736328,
29
+ 0.013699226379394532,
30
+ 0.014227388381958007,
31
+ 0.013823387145996093,
32
+ 0.01403378677368164,
33
+ 0.014273628234863282,
34
+ 0.014263227462768554,
35
+ 0.01735043144226074,
36
+ 0.013865467071533202,
37
+ 0.01337618637084961,
38
+ 0.013642427444458007,
39
+ 0.013349945068359376,
40
+ 0.01353234577178955,
41
+ 0.013086105346679687,
42
+ 0.013451226234436035,
43
+ 0.013416345596313477,
44
+ 0.013434266090393067,
45
+ 0.013453466415405273,
46
+ 0.014650108337402344,
47
+ 0.01389346694946289,
48
+ 0.013848187446594239,
49
+ 0.013602106094360352,
50
+ 0.014038106918334962,
51
+ 0.013146745681762695,
52
+ 0.012907224655151367,
53
+ 0.01392514705657959,
54
+ 0.014095227241516113,
55
+ 0.014496667861938477,
56
+ 0.014800827980041504,
57
+ 0.014579548835754394,
58
+ 0.014675067901611329,
59
+ 0.0146185884475708,
60
+ 0.014670268058776855,
61
+ 0.013785627365112305,
62
+ 0.01404466724395752,
63
+ 0.01381154727935791,
64
+ 0.013808827400207519,
65
+ 0.01316130542755127,
66
+ 0.013231546401977538,
67
+ 0.012996025085449218,
68
+ 0.013317625999450683,
69
+ 0.013232026100158691,
70
+ 0.014802107810974121,
71
+ 0.014262428283691406,
72
+ 0.014729308128356934,
73
+ 0.013804346084594727,
74
+ 0.014038107872009277,
75
+ 0.013625946044921875,
76
+ 0.013758907318115235,
77
+ 0.013420825958251953,
78
+ 0.013226264953613282,
79
+ 0.013027545928955078,
80
+ 0.013315864562988281,
81
+ 0.013021465301513671,
82
+ 0.013030585289001464,
83
+ 0.013556026458740234,
84
+ 0.013006746292114258,
85
+ 0.013358745574951172,
86
+ 0.013021305084228515,
87
+ 0.013002744674682617,
88
+ 0.013051384925842286,
89
+ 0.012979705810546876,
90
+ 0.013578585624694824,
91
+ 0.013036664962768554,
92
+ 0.012989303588867188,
93
+ 0.013086265563964843,
94
+ 0.013582586288452148
95
  ]
96
  },
97
  "throughput": {
98
  "unit": "samples/s",
99
+ "value": 72.40507135070449
100
  },
101
  "energy": null,
102
  "efficiency": null