Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
7889748
·
verified ·
1 Parent(s): 1ecc39d

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 +87 -85
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": 975.54432,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,101 +10,103 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 70,
14
- "total": 1.002221823692322,
15
- "mean": 0.014317454624176024,
16
- "stdev": 0.0005179854292391007,
17
- "p50": 0.014136191844940187,
18
- "p90": 0.014872780895233155,
19
- "p95": 0.015156429052352906,
20
- "p99": 0.015988807916641236,
21
  "values": [
22
- 0.015131648063659669,
23
- 0.016269311904907227,
24
- 0.01586278438568115,
25
- 0.014862336158752442,
26
- 0.014535552024841308,
27
- 0.014609312057495117,
28
- 0.01455513572692871,
29
- 0.014568448066711426,
30
- 0.014729215621948242,
31
- 0.01496678352355957,
32
- 0.014606335639953612,
33
- 0.014484479904174804,
34
- 0.014614527702331542,
35
- 0.013914079666137695,
36
- 0.01385971164703369,
37
- 0.013853695869445801,
38
- 0.013822976112365723,
39
- 0.0141146879196167,
40
- 0.013762432098388672,
41
- 0.013876223564147949,
42
- 0.013703264236450196,
43
- 0.013898752212524413,
44
- 0.013859840393066406,
45
- 0.014038016319274902,
46
- 0.013897727966308594,
47
- 0.013850624084472657,
48
- 0.014021632194519042,
49
- 0.013942784309387207,
50
- 0.013697024345397948,
51
- 0.013749247550964355,
52
- 0.013845503807067871,
53
- 0.013839424133300781,
54
- 0.014382080078125,
55
- 0.014501888275146485,
56
- 0.014530559539794922,
57
- 0.01475164794921875,
58
- 0.015004672050476075,
59
- 0.014751744270324708,
60
- 0.014507007598876954,
61
- 0.01459712028503418,
62
- 0.014449664115905762,
63
- 0.0144650239944458,
64
- 0.014771200180053711,
65
- 0.015176704406738281,
66
- 0.014560256004333496,
67
- 0.014387200355529785,
68
- 0.01437484836578369,
69
- 0.014741503715515136,
70
- 0.014317567825317384,
71
- 0.015812607765197755,
72
- 0.014359552383422852,
73
- 0.014031744003295899,
74
- 0.014008319854736329,
75
- 0.014081024169921874,
76
- 0.013979647636413574,
77
- 0.01409552001953125,
78
- 0.014419903755187988,
79
- 0.0140697603225708,
80
- 0.014157695770263672,
81
- 0.014027775764465332,
82
- 0.014071807861328126,
83
- 0.013937664031982423,
84
- 0.014016511917114258,
85
- 0.013731840133666993,
86
- 0.01387827205657959,
87
- 0.013939840316772461,
88
- 0.014280735969543457,
89
- 0.013897600173950196,
90
- 0.013896703720092773,
91
- 0.013913087844848633
 
 
92
  ]
93
  },
94
  "throughput": {
95
  "unit": "samples/s",
96
- "value": 69.84481713051355
97
  },
98
  "energy": {
99
  "unit": "kWh",
100
- "cpu": 1.6464468324202565e-07,
101
- "ram": 8.960731809889843e-08,
102
- "gpu": 3.7328416468492946e-07,
103
- "total": 6.275361660258535e-07
104
  },
105
  "efficiency": {
106
  "unit": "samples/kWh",
107
- "value": 1593533.6545349031
108
  }
109
  }
110
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.36,
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": 72,
14
+ "total": 1.0089079332351683,
15
+ "mean": 0.014012610183821784,
16
+ "stdev": 0.0002860015472250758,
17
+ "p50": 0.013942319869995118,
18
+ "p90": 0.014350130844116212,
19
+ "p95": 0.014402969598770141,
20
+ "p99": 0.015094637765884404,
21
  "values": [
22
+ 0.014397439956665039,
23
+ 0.01554758358001709,
24
+ 0.014909631729125976,
25
+ 0.014367744445800782,
26
+ 0.013990912437438965,
27
+ 0.013880319595336914,
28
+ 0.013815808296203613,
29
+ 0.013830143928527832,
30
+ 0.013735936164855958,
31
+ 0.014005248069763183,
32
+ 0.014096384048461913,
33
+ 0.013790207862854004,
34
+ 0.013981696128845214,
35
+ 0.014025792121887207,
36
+ 0.014141440391540527,
37
+ 0.01396019172668457,
38
+ 0.013847552299499511,
39
+ 0.01385267162322998,
40
+ 0.013780991554260253,
41
+ 0.013757439613342285,
42
+ 0.014121983528137207,
43
+ 0.013889535903930664,
44
+ 0.014091391563415528,
45
+ 0.014026752471923828,
46
+ 0.013969408035278321,
47
+ 0.014095359802246094,
48
+ 0.014002176284790039,
49
+ 0.01406873607635498,
50
+ 0.013717503547668456,
51
+ 0.014034943580627441,
52
+ 0.014368767738342286,
53
+ 0.013854720115661622,
54
+ 0.013891551971435547,
55
+ 0.01398681640625,
56
+ 0.01378713607788086,
57
+ 0.014253055572509766,
58
+ 0.014125056266784668,
59
+ 0.014178112030029296,
60
+ 0.013849599838256836,
61
+ 0.013847552299499511,
62
+ 0.013737983703613281,
63
+ 0.01378713607788086,
64
+ 0.013812735557556152,
65
+ 0.013742079734802246,
66
+ 0.014217215538024902,
67
+ 0.014356479644775391,
68
+ 0.014439328193664551,
69
+ 0.014409728050231933,
70
+ 0.014169088363647461,
71
+ 0.014233599662780762,
72
+ 0.014256128311157227,
73
+ 0.014195712089538574,
74
+ 0.01386780834197998,
75
+ 0.01390988826751709,
76
+ 0.013906847953796387,
77
+ 0.013820927619934082,
78
+ 0.014292991638183594,
79
+ 0.013759488105773926,
80
+ 0.013771776199340821,
81
+ 0.013819775581359862,
82
+ 0.013884415626525879,
83
+ 0.0138504638671875,
84
+ 0.013733887672424316,
85
+ 0.013883392333984374,
86
+ 0.01391312026977539,
87
+ 0.01399500846862793,
88
+ 0.01377184009552002,
89
+ 0.013825984001159667,
90
+ 0.013757439613342285,
91
+ 0.013996031761169434,
92
+ 0.013989888191223144,
93
+ 0.013924448013305665
94
  ]
95
  },
96
  "throughput": {
97
  "unit": "samples/s",
98
+ "value": 71.36429165456603
99
  },
100
  "energy": {
101
  "unit": "kWh",
102
+ "cpu": 1.6502592666649527e-07,
103
+ "ram": 9.013577984357349e-08,
104
+ "gpu": 3.5299410955555003e-07,
105
+ "total": 6.081558160656188e-07
106
  },
107
  "efficiency": {
108
  "unit": "samples/kWh",
109
+ "value": 1644315.4428241167
110
  }
111
  }
112
  }