Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Files
xet
 Community
IlyasMoutawwakil HF Staff commited on
Commit
59ba790
·
verified ·
1 Parent(s): a93e3e2

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 +98 -100
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 772.767744,
6
  "max_global_vram": 1403.518976,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 7.401021484375,
15
- "mean": 7.401021484375,
16
  "stdev": 0.0,
17
- "p50": 7.401021484375,
18
- "p90": 7.401021484375,
19
- "p95": 7.401021484375,
20
- "p99": 7.401021484375,
21
  "values": [
22
- 7.401021484375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.1012789833335843e-06,
29
- "ram": 5.714116014606862e-07,
30
- "gpu": 1.681390233999533e-06,
31
- "total": 3.354080818793803e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1160.23296,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,104 +43,102 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 73,
47
- "total": 0.9997085742950438,
48
- "mean": 0.0136946380040417,
49
- "stdev": 0.00045976592302856515,
50
- "p50": 0.013744128227233888,
51
- "p90": 0.013872742271423339,
52
- "p95": 0.014019769477844238,
53
- "p99": 0.01574405906677246,
54
  "values": [
55
- 0.016120832443237306,
56
- 0.015597536087036132,
57
- 0.014685248374938965,
58
- 0.01346457576751709,
59
- 0.01323519992828369,
60
- 0.013236224174499512,
61
- 0.01326694393157959,
62
- 0.01325055980682373,
63
- 0.01325369644165039,
64
- 0.013222911834716796,
65
- 0.013187071800231934,
66
- 0.013307904243469238,
67
- 0.013365247726440429,
68
- 0.013233152389526368,
69
- 0.01326694393157959,
70
- 0.01324953556060791,
71
- 0.013239295959472656,
72
- 0.013302783966064453,
73
- 0.013210687637329101,
74
- 0.013304832458496094,
75
- 0.013214719772338868,
76
- 0.013231103897094726,
77
- 0.01323209571838379,
78
- 0.013239295959472656,
79
- 0.013503487586975099,
80
- 0.013739007949829102,
81
- 0.013715456008911133,
82
- 0.013786111831665039,
83
- 0.013754303932189942,
84
- 0.013834239959716797,
85
- 0.013812671661376954,
86
- 0.013842432022094727,
87
- 0.013741056442260742,
88
- 0.013785087585449218,
89
- 0.013734911918640137,
90
- 0.013785087585449218,
91
- 0.013776896476745605,
92
- 0.01376460838317871,
93
- 0.013800479888916016,
94
- 0.01376153564453125,
95
- 0.013846528053283692,
96
- 0.013771776199340821,
97
- 0.013798399925231934,
98
- 0.01375334358215332,
99
- 0.01387110424041748,
100
- 0.013768704414367675,
101
- 0.013757439613342285,
102
- 0.013814784049987794,
103
- 0.013744128227233888,
104
- 0.013980671882629395,
105
- 0.01384447956085205,
106
- 0.013998047828674316,
107
- 0.01397555160522461,
108
- 0.014052351951599122,
109
- 0.013821951866149903,
110
- 0.01377894401550293,
111
- 0.01370419216156006,
112
- 0.013740032196044923,
113
- 0.013697024345397948,
114
- 0.013839360237121581,
115
- 0.013842432022094727,
116
- 0.013873151779174805,
117
- 0.013815808296203613,
118
- 0.013856767654418945,
119
- 0.013783040046691895,
120
- 0.013698047637939453,
121
- 0.013709312438964843,
122
- 0.013755392074584961,
123
- 0.013715456008911133,
124
- 0.013552576065063477,
125
- 0.013490143775939942,
126
- 0.013507583618164062,
127
- 0.013494272232055664
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
- "value": 73.02128027808182
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
- "cpu": 1.6991912621031072e-07,
137
- "ram": 9.28057300256059e-08,
138
- "gpu": 3.614883844285704e-07,
139
- "total": 6.24213240664487e-07
140
  },
141
  "efficiency": {
142
  "unit": "samples/kWh",
143
- "value": 1602016.6424785876
144
  }
145
  }
146
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 772.9152,
6
  "max_global_vram": 1403.518976,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.379419921875,
15
+ "mean": 7.379419921875,
16
  "stdev": 0.0,
17
+ "p50": 7.379419921875,
18
+ "p90": 7.379419921875,
19
+ "p95": 7.379419921875,
20
+ "p99": 7.379419921875,
21
  "values": [
22
+ 7.379419921875
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0822862527777015e-06,
29
+ "ram": 5.775451174204724e-07,
30
+ "gpu": 1.7672236360000843e-06,
31
+ "total": 3.427055006198258e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1160.62208,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 71,
47
+ "total": 1.0030499219894409,
48
+ "mean": 0.014127463689992127,
49
+ "stdev": 0.0006369886645348731,
50
+ "p50": 0.014118911743164063,
51
+ "p90": 0.014392319679260255,
52
+ "p95": 0.01561137580871582,
53
+ "p99": 0.016668717575073242,
54
  "values": [
55
+ 0.01680486488342285,
56
+ 0.015802335739135743,
57
+ 0.016610368728637696,
58
+ 0.015420415878295898,
59
+ 0.016106496810913085,
60
+ 0.014236672401428223,
61
+ 0.013724672317504882,
62
+ 0.013735872268676758,
63
+ 0.013668352127075196,
64
+ 0.013796352386474609,
65
+ 0.013618176460266113,
66
+ 0.013690943717956544,
67
+ 0.013615103721618652,
68
+ 0.013667391777038575,
69
+ 0.014025728225708007,
70
+ 0.014552063941955566,
71
+ 0.01426636791229248,
72
+ 0.01425715160369873,
73
+ 0.014232640266418456,
74
+ 0.014171135902404786,
75
+ 0.014161919593811035,
76
+ 0.014185471534729004,
77
+ 0.014187520027160644,
78
+ 0.014144319534301758,
79
+ 0.014271424293518067,
80
+ 0.01408614444732666,
81
+ 0.014224384307861328,
82
+ 0.014185471534729004,
83
+ 0.014041088104248046,
84
+ 0.014180352210998535,
85
+ 0.014208000183105468,
86
+ 0.01416806411743164,
87
+ 0.01417632007598877,
88
+ 0.013880319595336914,
89
+ 0.013922304153442382,
90
+ 0.013617152214050294,
91
+ 0.013694975852966309,
92
+ 0.013434880256652832,
93
+ 0.013472767829895019,
94
+ 0.013495295524597169,
95
+ 0.013532159805297851,
96
+ 0.013480928421020508,
97
+ 0.013485055923461914,
98
+ 0.013557760238647461,
99
+ 0.013598560333251953,
100
+ 0.01367142391204834,
101
+ 0.013594623565673827,
102
+ 0.013709376335144043,
103
+ 0.014435327529907227,
104
+ 0.014245887756347657,
105
+ 0.014392319679260255,
106
+ 0.01419264030456543,
107
+ 0.014222335815429688,
108
+ 0.014142463684082032,
109
+ 0.014113792419433594,
110
+ 0.014084192276000976,
111
+ 0.014110719680786133,
112
+ 0.014341119766235352,
113
+ 0.01415782356262207,
114
+ 0.013988863945007325,
115
+ 0.014071807861328126,
116
+ 0.014097408294677734,
117
+ 0.014162943840026856,
118
+ 0.014144512176513671,
119
+ 0.014219264030456542,
120
+ 0.014118911743164063,
121
+ 0.014164992332458496,
122
+ 0.014123968124389649,
123
+ 0.013981696128845214,
124
+ 0.013599807739257813,
125
+ 0.013565952301025391
 
 
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
+ "value": 70.78411397428673
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
+ "cpu": 1.656020555652026e-07,
135
+ "ram": 9.046914292442905e-08,
136
+ "gpu": 3.6142004222222403e-07,
137
+ "total": 6.174912407118556e-07
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
+ "value": 1619456.1704991653
142
  }
143
  }
144
  }