Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
59958e2
·
verified ·
1 Parent(s): 4d61751

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 +92 -80
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,96 +2,108 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1027.264512,
6
- "max_global_vram": 2103.218176,
7
- "max_process_vram": 303244.414976,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 68,
14
- "total": 1.0078185873031615,
15
- "mean": 0.01482086157798767,
16
- "stdev": 0.00027166454896910555,
17
- "p50": 0.014746269226074218,
18
- "p90": 0.015239596939086913,
19
- "p95": 0.015317221403121948,
20
- "p99": 0.015529695987701415,
21
  "values": [
22
- 0.014625147819519043,
23
- 0.015303388595581054,
24
- 0.015300349235534668,
25
- 0.015422909736633302,
26
- 0.015509790420532226,
27
- 0.015570110321044921,
28
- 0.01532466983795166,
29
- 0.015118748664855956,
30
- 0.01515458869934082,
31
- 0.014853629112243652,
32
- 0.014944828987121583,
33
- 0.0146350679397583,
34
- 0.014962589263916016,
35
- 0.01473106861114502,
36
- 0.014926749229431152,
37
- 0.01475730800628662,
38
- 0.014729788780212402,
39
- 0.01491602897644043,
40
- 0.0146219482421875,
41
- 0.014686107635498047,
42
- 0.014894429206848145,
43
- 0.014494908332824708,
44
- 0.014478267669677735,
45
- 0.014837148666381837,
46
- 0.014604508399963379,
47
- 0.014583707809448242,
48
- 0.014906588554382325,
49
- 0.014600188255310058,
50
- 0.014656508445739746,
51
- 0.014746109008789062,
52
- 0.01449970817565918,
53
- 0.014542107582092284,
54
- 0.014530267715454102,
55
- 0.014608987808227539,
56
- 0.015093149185180664,
57
- 0.014676829338073731,
58
- 0.014750428199768066,
59
- 0.014698589324951172,
60
- 0.015052668571472168,
61
- 0.014732507705688477,
62
- 0.014694587707519531,
63
- 0.014633308410644532,
64
- 0.015034909248352052,
65
- 0.014727388381958008,
66
- 0.014688828468322753,
67
- 0.014704507827758789,
68
- 0.014628667831420899,
69
- 0.014730269432067872,
70
- 0.01526210880279541,
71
- 0.014761467933654786,
72
- 0.01468450927734375,
73
- 0.01428482723236084,
74
- 0.01417266845703125,
75
- 0.01511250877380371,
76
- 0.014746429443359375,
77
- 0.01499282932281494,
78
- 0.014772348403930664,
79
- 0.014762429237365723,
80
- 0.015229948997497559,
81
- 0.014808669090270996,
82
- 0.014715389251708984,
83
- 0.014717147827148438,
84
- 0.014825308799743652,
85
- 0.015160348892211914,
86
- 0.01469058895111084,
87
- 0.014788507461547851,
88
- 0.014755549430847168,
89
- 0.014650108337402344
 
 
 
 
 
 
 
 
 
 
 
 
90
  ]
91
  },
92
  "throughput": {
93
  "unit": "samples/s",
94
- "value": 67.4724606756483
95
  },
96
  "energy": null,
97
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1027.239936,
6
+ "max_global_vram": 2103.209984,
7
+ "max_process_vram": 289458.167808,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 80,
14
+ "total": 1.0052957162857055,
15
+ "mean": 0.012566196453571321,
16
+ "stdev": 0.0006625729655892718,
17
+ "p50": 0.012202911853790284,
18
+ "p90": 0.013340913963317871,
19
+ "p95": 0.013399683046340942,
20
+ "p99": 0.014362688531875594,
21
  "values": [
22
+ 0.012973154067993164,
23
+ 0.013207714080810546,
24
+ 0.013374594688415528,
25
+ 0.01344467544555664,
26
+ 0.0133925142288208,
27
+ 0.013397315025329589,
28
+ 0.013371874809265136,
29
+ 0.01333747386932373,
30
+ 0.013068353652954102,
31
+ 0.012853632926940918,
32
+ 0.012794592857360839,
33
+ 0.01296499252319336,
34
+ 0.013110114097595214,
35
+ 0.01329859447479248,
36
+ 0.01288851261138916,
37
+ 0.013084994316101075,
38
+ 0.013012033462524414,
39
+ 0.013114433288574218,
40
+ 0.012974753379821777,
41
+ 0.013265633583068847,
42
+ 0.012972673416137696,
43
+ 0.013068513870239258,
44
+ 0.012804512977600097,
45
+ 0.01641252326965332,
46
+ 0.012443072319030761,
47
+ 0.012344191551208496,
48
+ 0.012093791007995605,
49
+ 0.01215715217590332,
50
+ 0.012088830947875977,
51
+ 0.012147231101989746,
52
+ 0.012369631767272949,
53
+ 0.012226911544799804,
54
+ 0.01211747169494629,
55
+ 0.012100510597229004,
56
+ 0.012129791259765625,
57
+ 0.012191551208496094,
58
+ 0.01208051109313965,
59
+ 0.012076830863952637,
60
+ 0.012138751029968262,
61
+ 0.012081951141357421,
62
+ 0.01236899185180664,
63
+ 0.012155232429504394,
64
+ 0.012077630996704102,
65
+ 0.012095231056213379,
66
+ 0.012163552284240722,
67
+ 0.012072351455688477,
68
+ 0.012065311431884766,
69
+ 0.012145471572875977,
70
+ 0.012082430839538574,
71
+ 0.012077791213989258,
72
+ 0.012136192321777343,
73
+ 0.012068031311035156,
74
+ 0.012052511215209961,
75
+ 0.012146910667419434,
76
+ 0.01208403205871582,
77
+ 0.012060030937194825,
78
+ 0.012184990882873534,
79
+ 0.012086112022399903,
80
+ 0.012099870681762695,
81
+ 0.012276991844177246,
82
+ 0.012069630622863769,
83
+ 0.012191072463989257,
84
+ 0.012101791381835937,
85
+ 0.012482272148132325,
86
+ 0.013817795753479004,
87
+ 0.013764036178588868,
88
+ 0.012948192596435548,
89
+ 0.012761153221130372,
90
+ 0.012851552963256836,
91
+ 0.012745633125305175,
92
+ 0.012795232772827148,
93
+ 0.012386272430419922,
94
+ 0.012212671279907227,
95
+ 0.012087870597839355,
96
+ 0.012073951721191406,
97
+ 0.012073631286621095,
98
+ 0.012076670646667481,
99
+ 0.012083390235900878,
100
+ 0.01219315242767334,
101
+ 0.012103711128234863
102
  ]
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 79.57857444730615
107
  },
108
  "energy": null,
109
  "efficiency": null