Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
9b6f2b1
·
verified ·
1 Parent(s): c4c5c98

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 +82 -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": 975.364096,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,103 +10,102 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 72,
14
- "total": 1.0023760690689087,
15
- "mean": 0.013921889848179289,
16
- "stdev": 0.00036026456464392526,
17
- "p50": 0.013886464118957519,
18
- "p90": 0.014399897861480713,
19
- "p95": 0.01458872299194336,
20
- "p99": 0.015104850111007692,
21
  "values": [
22
- 0.014531583786010742,
23
- 0.015269887924194337,
24
- 0.015037440299987792,
25
- 0.014763008117675782,
26
- 0.0138854398727417,
27
- 0.013906815528869628,
28
- 0.01388748836517334,
 
 
 
 
 
 
 
 
 
29
  0.013810688018798829,
30
- 0.013832223892211915,
31
- 0.014009344100952148,
32
- 0.013921279907226563,
33
- 0.01379532814025879,
34
- 0.014097408294677734,
35
- 0.013958144187927245,
36
- 0.013958144187927245,
 
 
 
 
 
 
 
 
 
 
 
37
  0.013880319595336914,
38
- 0.013950976371765136,
39
- 0.01364684772491455,
40
- 0.013854720115661622,
41
- 0.013848575592041015,
42
- 0.013883456230163575,
43
- 0.014160896301269531,
44
- 0.014125056266784668,
45
- 0.013914112091064454,
46
- 0.013915136337280273,
47
- 0.013929471969604493,
48
- 0.013938688278198242,
49
- 0.01377791976928711,
50
- 0.013892607688903809,
51
- 0.01405238437652588,
52
- 0.013810688018798829,
53
- 0.013833215713500976,
54
- 0.013864959716796875,
55
- 0.013815808296203613,
56
- 0.014339072227478027,
57
- 0.01409126377105713,
58
  0.013955072402954101,
59
- 0.013825023651123047,
60
- 0.013898752212524413,
61
- 0.013684736251831055,
62
- 0.014658559799194336,
63
- 0.013643808364868164,
64
- 0.013459456443786622,
65
- 0.014079999923706055,
66
- 0.014409728050231933,
67
- 0.01440665626525879,
68
- 0.014216192245483398,
69
- 0.01398681640625,
70
- 0.014089216232299804,
71
- 0.013910016059875489,
72
- 0.013850624084472657,
73
- 0.01371132755279541,
74
- 0.013486080169677735,
75
- 0.013360128402709961,
76
- 0.013387776374816895,
77
- 0.01372976016998291,
78
- 0.013948927879333496,
79
- 0.014426112174987793,
80
- 0.013969408035278321,
81
- 0.01385366439819336,
82
- 0.013816831588745117,
83
- 0.013689888000488282,
84
- 0.013392895698547362,
85
- 0.013353952407836914,
86
- 0.013711359977722168,
87
  0.013882368087768555,
88
- 0.013963264465332031,
89
- 0.01378713607788086,
90
- 0.013815808296203613,
91
- 0.013280256271362305,
92
- 0.013301759719848634,
93
- 0.013242303848266601
 
 
94
  ]
95
  },
96
  "throughput": {
97
  "unit": "samples/s",
98
- "value": 71.82932855418193
99
  },
100
  "energy": {
101
  "unit": "kWh",
102
- "cpu": 1.6858214643639576e-07,
103
- "ram": 9.213837739467556e-08,
104
- "gpu": 3.781849660845121e-07,
105
- "total": 6.389054899155834e-07
106
  },
107
  "efficiency": {
108
  "unit": "samples/kWh",
109
- "value": 1565176.7214148168
110
  }
111
  }
112
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.659008,
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": 1.0034439010620118,
15
+ "mean": 0.014133012691014246,
16
+ "stdev": 0.0011929209109726815,
17
+ "p50": 0.013903871536254882,
18
+ "p90": 0.01448140811920166,
19
+ "p95": 0.014774783611297606,
20
+ "p99": 0.020407807540893552,
21
  "values": [
22
+ 0.02064793586730957,
23
+ 0.020304895401000975,
24
+ 0.017326080322265625,
25
+ 0.014642175674438476,
26
+ 0.0142673921585083,
27
+ 0.01448857593536377,
28
+ 0.013436863899230957,
29
+ 0.013403136253356934,
30
+ 0.013399040222167969,
31
+ 0.013325311660766602,
32
+ 0.013318143844604492,
33
+ 0.013394944190979004,
34
+ 0.013288448333740235,
35
+ 0.013904895782470703,
36
+ 0.013757439613342285,
37
+ 0.01375222396850586,
38
  0.013810688018798829,
39
+ 0.013786111831665039,
40
+ 0.013772768020629883,
41
+ 0.013760512351989745,
42
+ 0.013472767829895019,
43
+ 0.013379584312438965,
44
+ 0.013337568283081054,
45
+ 0.013616127967834473,
46
+ 0.013947839736938477,
47
+ 0.013999103546142578,
48
+ 0.01396224021911621,
49
+ 0.013993984222412109,
50
+ 0.013989888191223144,
51
+ 0.014013440132141113,
52
+ 0.013957119941711426,
53
+ 0.013981696128845214,
54
+ 0.013912063598632812,
55
+ 0.01395404815673828,
56
+ 0.01387724781036377,
57
  0.013880319595336914,
58
+ 0.013839360237121581,
59
+ 0.01380352020263672,
60
+ 0.013737983703613281,
61
+ 0.013824000358581542,
62
+ 0.01389363193511963,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
63
  0.013955072402954101,
64
+ 0.013940735816955567,
65
+ 0.014006272315979004,
66
+ 0.01448140811920166,
67
+ 0.014317567825317384,
68
+ 0.014907391548156738,
69
+ 0.014527487754821777,
70
+ 0.01415987205505371,
71
+ 0.014041088104248046,
72
+ 0.014166015625,
73
+ 0.014106623649597168,
74
+ 0.014026752471923828,
75
+ 0.013862879753112792,
76
+ 0.014028767585754394,
77
+ 0.013900799751281738,
78
+ 0.01430835247039795,
79
+ 0.013822943687438964,
80
+ 0.013839424133300781,
81
+ 0.013833215713500976,
82
+ 0.014253055572509766,
83
+ 0.01395199966430664,
 
 
 
 
 
 
 
 
84
  0.013882368087768555,
85
+ 0.013841407775878906,
86
+ 0.013842432022094727,
87
+ 0.013903871536254882,
88
+ 0.013890560150146485,
89
+ 0.013910016059875489,
90
+ 0.013856767654418945,
91
+ 0.01379532814025879,
92
+ 0.013922304153442382
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
+ "value": 70.7563222267393
98
  },
99
  "energy": {
100
  "unit": "kWh",
101
+ "cpu": 1.583824819988675e-07,
102
+ "ram": 8.632535667857154e-08,
103
+ "gpu": 3.381373075466686e-07,
104
+ "total": 5.828451462241077e-07
105
  },
106
  "efficiency": {
107
  "unit": "samples/kWh",
108
+ "value": 1715721.5882784303
109
  }
110
  }
111
  }