Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
99e5b5b
·
verified ·
1 Parent(s): 6488513

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 +85 -83
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": 975.106048,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,100 +10,102 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 69,
14
- "total": 0.9975960683822632,
15
- "mean": 0.014457914034525553,
16
- "stdev": 0.0008989232617880069,
17
- "p50": 0.014368767738342286,
18
- "p90": 0.014978252410888671,
19
- "p95": 0.01544048671722412,
20
- "p99": 0.018139791793823218,
21
  "values": [
22
- 0.02049126434326172,
23
- 0.01703321647644043,
24
- 0.015481856346130371,
25
- 0.015378432273864746,
26
- 0.014851072311401366,
27
- 0.015024127960205079,
28
- 0.014515199661254884,
29
- 0.014318592071533203,
30
- 0.01448755168914795,
31
- 0.01461350440979004,
32
- 0.014416895866394042,
33
- 0.01442512035369873,
34
- 0.014582783699035644,
35
- 0.014558208465576173,
36
- 0.014433279991149902,
37
- 0.014520319938659668,
38
- 0.014409728050231933,
39
- 0.014363648414611817,
40
- 0.014360575675964356,
41
- 0.014368767738342286,
42
- 0.015150079727172852,
43
- 0.014812159538269042,
44
- 0.014559231758117675,
45
- 0.014418944358825684,
46
- 0.014593024253845215,
47
- 0.014470080375671386,
48
- 0.014337023735046387,
49
- 0.014348287582397461,
50
- 0.014673919677734374,
51
- 0.014252032279968262,
52
- 0.014430144309997558,
53
- 0.014394368171691894,
54
- 0.01438003158569336,
55
- 0.01496678352355957,
56
- 0.014851072311401366,
57
- 0.014414848327636719,
58
- 0.015520768165588379,
59
- 0.014540800094604492,
60
- 0.014238783836364746,
61
- 0.014375935554504395,
62
- 0.014099424362182617,
63
- 0.014321663856506347,
64
- 0.01429100799560547,
65
- 0.01447935962677002,
66
- 0.014541824340820313,
67
- 0.014105600357055664,
68
- 0.013927424430847168,
69
- 0.013942784309387207,
70
- 0.013915136337280273,
71
- 0.013835264205932616,
72
- 0.013889535903930664,
73
- 0.014060544013977052,
74
- 0.01397760009765625,
75
- 0.013841407775878906,
76
  0.01386086368560791,
77
- 0.01388748836517334,
78
- 0.013881343841552735,
79
- 0.013839360237121581,
80
- 0.013891584396362304,
81
- 0.013837311744689941,
82
- 0.01386291217803955,
83
- 0.013889504432678222,
84
- 0.013843456268310546,
85
- 0.013888511657714844,
86
- 0.013874176025390626,
87
- 0.013902848243713378,
88
- 0.013858816146850587,
89
- 0.01387929630279541,
90
- 0.013807552337646484
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
91
  ]
92
  },
93
  "throughput": {
94
  "unit": "samples/s",
95
- "value": 69.16627098570349
96
  },
97
  "energy": {
98
  "unit": "kWh",
99
- "cpu": 1.632931433856215e-07,
100
- "ram": 8.919706957535147e-08,
101
- "gpu": 3.389196014246559e-07,
102
- "total": 5.914098143856289e-07
103
  },
104
  "efficiency": {
105
  "unit": "samples/kWh",
106
- "value": 1690874.881809029
107
  }
108
  }
109
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.42144,
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": 71,
14
+ "total": 0.997763325691223,
15
+ "mean": 0.014053004587200324,
16
+ "stdev": 0.0009822596744555059,
17
+ "p50": 0.013905920028686524,
18
+ "p90": 0.014382080078125,
19
+ "p95": 0.01464576005935669,
20
+ "p99": 0.018977884292602533,
21
  "values": [
22
+ 0.020437984466552733,
23
+ 0.01835212707519531,
24
+ 0.014880767822265625,
25
+ 0.01401039981842041,
26
+ 0.013855744361877441,
27
+ 0.013926400184631347,
28
+ 0.013892607688903809,
29
+ 0.013842432022094727,
30
+ 0.014010368347167968,
31
+ 0.014052351951599122,
32
+ 0.013905887603759765,
33
+ 0.014017536163330077,
34
+ 0.014090239524841308,
35
+ 0.013982784271240235,
36
+ 0.013944831848144532,
37
+ 0.013983743667602539,
38
+ 0.013856831550598145,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
39
  0.01386086368560791,
40
+ 0.013853759765625,
41
+ 0.0138854398727417,
42
+ 0.014766079902648926,
43
+ 0.014196736335754395,
44
+ 0.014027775764465332,
45
+ 0.014382080078125,
46
+ 0.014525440216064453,
47
+ 0.014062591552734375,
48
+ 0.013886528015136719,
49
+ 0.013912063598632812,
50
+ 0.014113792419433594,
51
+ 0.013825023651123047,
52
+ 0.013850624084472657,
53
+ 0.013905920028686524,
54
+ 0.013896703720092773,
55
+ 0.014279680252075195,
56
+ 0.014292991638183594,
57
+ 0.014111743927001954,
58
+ 0.013958144187927245,
59
+ 0.013956095695495606,
60
+ 0.013883392333984374,
61
+ 0.013791232109069825,
62
+ 0.013797375679016113,
63
+ 0.013676544189453126,
64
+ 0.01396224021911621,
65
+ 0.014366720199584961,
66
+ 0.014440447807312011,
67
+ 0.014433279991149902,
68
+ 0.014127103805541993,
69
+ 0.013880319595336914,
70
+ 0.014302207946777343,
71
+ 0.013868032455444336,
72
+ 0.013643775939941406,
73
+ 0.01338060760498047,
74
+ 0.013389823913574218,
75
+ 0.013455360412597657,
76
+ 0.013356032371520997,
77
+ 0.013412351608276368,
78
+ 0.013406208038330078,
79
+ 0.01345638370513916,
80
+ 0.01344102382659912,
81
+ 0.013407232284545899,
82
+ 0.013384703636169434,
83
+ 0.013402112007141113,
84
+ 0.013419520378112794,
85
+ 0.013422592163085938,
86
+ 0.013953056335449219,
87
+ 0.013930496215820312,
88
+ 0.01398681640625,
89
+ 0.013938688278198242,
90
+ 0.013706239700317382,
91
+ 0.013399040222167969,
92
+ 0.013749247550964355
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
+ "value": 71.15915986470354
98
  },
99
  "energy": {
100
  "unit": "kWh",
101
+ "cpu": 1.6138319809873541e-07,
102
+ "ram": 8.82167689908513e-08,
103
+ "gpu": 3.2491016983783247e-07,
104
+ "total": 5.745101369274191e-07
105
  },
106
  "efficiency": {
107
  "unit": "samples/kWh",
108
+ "value": 1740613.325551008
109
  }
110
  }
111
  }