Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
b09c4fb
·
verified ·
1 Parent(s): 9f2c19c

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 +83 -82
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": 975.560704,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,99 +10,100 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 68,
14
- "total": 1.000941536903381,
15
- "mean": 0.014719728483873255,
16
- "stdev": 0.000530674990755611,
17
- "p50": 0.014621696472167968,
18
- "p90": 0.015451852607727051,
19
- "p95": 0.015788995122909544,
20
- "p99": 0.016334140281677244,
21
  "values": [
22
- 0.015537152290344238,
23
- 0.016266239166259765,
24
- 0.015834176063537597,
25
- 0.015705087661743163,
26
- 0.015308799743652344,
27
- 0.015548416137695312,
28
- 0.014744576454162597,
29
- 0.014277631759643555,
30
- 0.016472000122070313,
31
- 0.015415295600891114,
32
- 0.014592960357666015,
33
- 0.01476095962524414,
34
- 0.014982144355773925,
35
- 0.014783488273620606,
36
- 0.014749695777893066,
37
- 0.01498419189453125,
38
- 0.014545920372009278,
39
- 0.014710783958435059,
40
- 0.014621696472167968,
41
- 0.014621696472167968,
42
- 0.014962688446044922,
43
- 0.015037440299987792,
44
- 0.014627840042114258,
45
- 0.01497599983215332,
46
- 0.01460428810119629,
47
- 0.014146559715270996,
48
- 0.01447935962677002,
49
- 0.014950400352478027,
50
- 0.014592991828918458,
51
- 0.014727231979370117,
52
- 0.014653440475463866,
53
- 0.015023103713989258,
54
- 0.01528934383392334,
55
- 0.015013888359069824,
56
- 0.015082464218139649,
57
- 0.014745599746704101,
58
- 0.014797823905944824,
59
- 0.014515199661254884,
60
- 0.014611455917358398,
61
- 0.014366720199584961,
62
  0.014523391723632812,
63
- 0.014558272361755371,
64
- 0.0146810884475708,
65
- 0.014913536071777344,
66
- 0.014715904235839844,
67
- 0.014443519592285157,
68
- 0.014433279991149902,
69
- 0.014351360321044922,
70
- 0.01417625617980957,
71
- 0.014249983787536622,
72
- 0.01417625617980957,
73
- 0.014254079818725587,
74
- 0.014116864204406738,
75
- 0.014129152297973633,
76
- 0.01438304042816162,
77
- 0.01617100715637207,
78
- 0.014780415534973144,
79
- 0.014154751777648926,
80
- 0.014204928398132324,
81
- 0.014169088363647461,
82
- 0.014140416145324707,
83
- 0.0142673921585083,
84
- 0.014153727531433105,
85
- 0.01427353572845459,
86
- 0.014144543647766114,
87
- 0.014191616058349609,
88
- 0.014334976196289062,
89
- 0.01418239974975586
 
 
90
  ]
91
  },
92
  "throughput": {
93
  "unit": "samples/s",
94
- "value": 67.93603571530461
95
  },
96
  "energy": {
97
  "unit": "kWh",
98
- "cpu": 1.672399482443486e-07,
99
- "ram": 9.139756271701705e-08,
100
- "gpu": 3.643156279154941e-07,
101
- "total": 6.229531388768598e-07
102
  },
103
  "efficiency": {
104
  "unit": "samples/kWh",
105
- "value": 1605257.1816283467
106
  }
107
  }
108
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.495168,
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": 69,
14
+ "total": 1.003455588340759,
15
+ "mean": 0.014542834613634191,
16
+ "stdev": 0.001093338809788534,
17
+ "p50": 0.014213120460510254,
18
+ "p90": 0.014737613105773926,
19
+ "p95": 0.01644195861816406,
20
+ "p99": 0.019802685775756827,
21
  "values": [
22
+ 0.020800512313842775,
23
+ 0.019333120346069335,
24
+ 0.015057920455932617,
25
+ 0.01448857593536377,
26
+ 0.014131199836730958,
27
+ 0.014133248329162598,
28
+ 0.014028800010681153,
29
+ 0.014044159889221192,
30
+ 0.014339072227478027,
31
+ 0.014162943840026856,
32
+ 0.014072832107543945,
33
+ 0.01428377628326416,
34
+ 0.014255104064941406,
35
+ 0.014156800270080566,
36
+ 0.014187520027160644,
37
+ 0.014147551536560058,
38
+ 0.01397766399383545,
39
+ 0.014084063529968261,
40
+ 0.01406668758392334,
41
+ 0.01418239974975586,
42
+ 0.014320639610290528,
43
+ 0.014420991897583007,
44
+ 0.014121983528137207,
45
+ 0.014239744186401367,
46
+ 0.014235648155212402,
47
+ 0.01415782356262207,
48
+ 0.014109696388244629,
49
+ 0.01408512020111084,
50
+ 0.014359552383422852,
51
+ 0.014036992073059081,
52
+ 0.014058496475219727,
53
+ 0.014087136268615724,
54
+ 0.014163968086242675,
55
+ 0.014525440216064453,
56
+ 0.014467071533203125,
57
+ 0.014186495780944825,
58
+ 0.014147616386413575,
59
+ 0.014569472312927247,
60
+ 0.014692352294921876,
 
61
  0.014523391723632812,
62
+ 0.014578687667846679,
63
+ 0.01452444839477539,
64
+ 0.01470464038848877,
65
+ 0.014869503974914551,
66
+ 0.01665126419067383,
67
+ 0.0169932804107666,
68
+ 0.016128000259399415,
69
+ 0.014520319938659668,
70
+ 0.014397439956665039,
71
+ 0.014222335815429688,
72
+ 0.014247936248779297,
73
+ 0.014264320373535156,
74
+ 0.014213120460510254,
75
+ 0.014185536384582519,
76
+ 0.014220288276672363,
77
+ 0.014210047721862793,
78
+ 0.014626815795898437,
79
+ 0.01419878387451172,
80
+ 0.014231552124023437,
81
+ 0.014186495780944825,
82
+ 0.014213120460510254,
83
+ 0.014187520027160644,
84
+ 0.014246912002563476,
85
+ 0.014213120460510254,
86
+ 0.014206975936889648,
87
+ 0.01417523193359375,
88
+ 0.01420902442932129,
89
+ 0.014193663597106934,
90
+ 0.014191616058349609
91
  ]
92
  },
93
  "throughput": {
94
  "unit": "samples/s",
95
+ "value": 68.7623855023752
96
  },
97
  "energy": {
98
  "unit": "kWh",
99
+ "cpu": 1.7016512297448659e-07,
100
+ "ram": 9.296225898132043e-08,
101
+ "gpu": 3.4160741614284956e-07,
102
+ "total": 6.047347980986566e-07
103
  },
104
  "efficiency": {
105
  "unit": "samples/kWh",
106
+ "value": 1653617.4255956404
107
  }
108
  }
109
  }