Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
c5f1f8f
·
verified ·
1 Parent(s): 1a3297b

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 -89
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 959.975424,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,106 +10,101 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 75,
14
- "total": 1.0082426242828368,
15
- "mean": 0.013443234990437824,
16
- "stdev": 0.0007456770533109025,
17
- "p50": 0.013674495697021484,
18
- "p90": 0.014222949981689454,
19
- "p95": 0.014849126434326171,
20
- "p99": 0.015321067581176762,
21
  "values": [
22
- 0.014947327613830566,
23
- 0.0150763521194458,
24
- 0.014740480422973632,
25
- 0.015088640213012695,
26
- 0.014284799575805664,
27
- 0.013293567657470704,
28
- 0.013551615715026855,
29
- 0.013715456008911133,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  0.013684736251831055,
31
- 0.014000127792358399,
32
- 0.013731840133666993,
33
- 0.013726719856262207,
34
- 0.013833215713500976,
35
- 0.013806591987609864,
36
- 0.01395404815673828,
37
- 0.013799424171447755,
38
- 0.013836288452148437,
39
- 0.013591551780700683,
40
- 0.013813759803771973,
41
- 0.01377280044555664,
42
- 0.013683712005615235,
43
- 0.014130175590515137,
44
- 0.013972479820251465,
45
- 0.013706239700317382,
46
- 0.013917183876037598,
47
- 0.01376972770690918,
48
- 0.013674495697021484,
49
- 0.01375641632080078,
50
- 0.013767680168151856,
51
- 0.013882368087768555,
52
- 0.013604864120483399,
53
- 0.013857791900634766,
54
- 0.013698047637939453,
55
- 0.013813759803771973,
56
- 0.014121983528137207,
57
- 0.014346240043640136,
58
- 0.013826047897338867,
59
- 0.01372054386138916,
60
- 0.013690879821777344,
61
- 0.013595647811889648,
62
- 0.01369600009918213,
63
- 0.014807040214538575,
64
- 0.01598259162902832,
65
- 0.013386752128601074,
66
- 0.013181952476501465,
67
- 0.013023232460021973,
68
- 0.012668928146362305,
69
- 0.012690431594848632,
70
- 0.01273036766052246,
71
- 0.012975104331970215,
72
- 0.012660736083984376,
73
- 0.012609536170959473,
74
- 0.01266483211517334,
75
- 0.012606464385986327,
76
- 0.012621824264526366,
77
- 0.012969984054565429,
78
- 0.012698623657226562,
79
- 0.012641280174255372,
80
- 0.012712960243225097,
81
- 0.01260540771484375,
82
- 0.012668928146362305,
83
- 0.012727295875549317,
84
- 0.012659711837768555,
85
- 0.012614656448364257,
86
- 0.012609536170959473,
87
- 0.012731391906738282,
88
- 0.012596223831176758,
89
- 0.012621824264526366,
90
- 0.012692480087280274,
91
- 0.012637184143066407,
92
- 0.012582912445068359,
93
- 0.012596223831176758,
94
- 0.012613632202148438,
95
- 0.012593152046203614,
96
- 0.012577792167663575
97
  ]
98
  },
99
  "throughput": {
100
  "unit": "samples/s",
101
- "value": 74.38685708546345
102
  },
103
  "energy": {
104
  "unit": "kWh",
105
- "cpu": 1.496383630567127e-07,
106
- "ram": 8.168073093202111e-08,
107
- "gpu": 3.4314263562488375e-07,
108
- "total": 5.744617296136175e-07
109
  },
110
  "efficiency": {
111
  "unit": "samples/kWh",
112
- "value": 1740759.9992302344
113
  }
114
  }
115
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.151104,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 70,
14
+ "total": 1.0027070407867433,
15
+ "mean": 0.014324386296953474,
16
+ "stdev": 0.0007211542333931602,
17
+ "p50": 0.014160352230072022,
18
+ "p90": 0.015174377822875977,
19
+ "p95": 0.015343468952178954,
20
+ "p99": 0.017134304504394533,
21
  "values": [
22
+ 0.01528217601776123,
23
+ 0.015981568336486816,
24
+ 0.015334527969360351,
25
+ 0.014557184219360352,
26
+ 0.014098431587219238,
27
+ 0.014656512260437012,
28
+ 0.014072832107543945,
29
+ 0.014032896041870118,
30
+ 0.014147520065307617,
31
+ 0.014495583534240722,
32
+ 0.014276608467102051,
33
+ 0.014178303718566895,
34
+ 0.015162400245666504,
35
+ 0.017354751586914064,
36
+ 0.0147958402633667,
37
+ 0.014825471878051758,
38
+ 0.01470464038848877,
39
+ 0.01472000026702881,
40
+ 0.014593024253845215,
41
+ 0.014302207946777343,
42
+ 0.015350784301757812,
43
+ 0.01479587173461914,
44
+ 0.014662495613098145,
45
+ 0.01459609603881836,
46
+ 0.01482960033416748,
47
+ 0.014487680435180663,
48
+ 0.01406668758392334,
49
+ 0.014143487930297852,
50
+ 0.014358400344848633,
51
+ 0.014075008392333985,
52
+ 0.014101504325866699,
53
+ 0.014173184394836426,
54
+ 0.014194687843322755,
55
+ 0.014568448066711426,
56
+ 0.014457759857177734,
57
+ 0.01429196834564209,
58
+ 0.014202879905700684,
59
+ 0.014183423995971679,
60
+ 0.01394380760192871,
61
+ 0.0140830717086792,
62
+ 0.014041088104248046,
63
+ 0.013773823738098144,
64
+ 0.01420083236694336,
65
+ 0.014611455917358398,
66
+ 0.01528217601776123,
67
+ 0.017035263061523438,
68
+ 0.01501696014404297,
69
+ 0.014133248329162598,
70
+ 0.013983743667602539,
71
+ 0.013650943756103515,
72
+ 0.01363046360015869,
73
+ 0.013845503807067871,
74
+ 0.013901887893676758,
75
+ 0.013549568176269532,
76
+ 0.013486080169677735,
77
+ 0.013709312438964843,
78
  0.013684736251831055,
79
+ 0.013677536010742187,
80
+ 0.013662336349487304,
81
+ 0.014077887535095215,
82
+ 0.013945856094360352,
83
+ 0.013668352127075196,
84
+ 0.013616127967834473,
85
+ 0.013607935905456543,
86
+ 0.01358847999572754,
87
+ 0.013616127967834473,
88
+ 0.013620223999023438,
89
+ 0.013693951606750488,
90
+ 0.013613056182861329,
91
+ 0.013642751693725585
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
92
  ]
93
  },
94
  "throughput": {
95
  "unit": "samples/s",
96
+ "value": 69.81101872494747
97
  },
98
  "energy": {
99
  "unit": "kWh",
100
+ "cpu": 1.6979205939504838e-07,
101
+ "ram": 9.24548919517422e-08,
102
+ "gpu": 3.294645492857122e-07,
103
+ "total": 5.917115006325028e-07
104
  },
105
  "efficiency": {
106
  "unit": "samples/kWh",
107
+ "value": 1690012.7831401995
108
  }
109
  }
110
  }