Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
107c087
·
verified ·
1 Parent(s): 7e0743d

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 +93 -94
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": 799.68256,
6
  "max_global_vram": 1410.859008,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
@@ -11,15 +11,15 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.07818240356445312
15
  ],
16
  "count": 1,
17
- "total": 0.07818240356445312,
18
- "mean": 0.07818240356445312,
19
- "p50": 0.07818240356445312,
20
- "p90": 0.07818240356445312,
21
- "p95": 0.07818240356445312,
22
- "p99": 0.07818240356445312,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
@@ -30,7 +30,7 @@
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
- "max_ram": 1188.74112,
34
  "max_global_vram": 1442.316288,
35
  "max_process_vram": 0.0,
36
  "max_reserved": 794.820608,
@@ -39,104 +39,103 @@
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
- 0.013932543754577637,
43
- 0.01397555160522461,
44
- 0.013964287757873535,
45
- 0.013903871536254882,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
46
  0.013845503807067871,
47
- 0.013945856094360352,
48
- 0.013842432022094727,
49
- 0.013891584396362304,
50
- 0.01386188793182373,
51
- 0.014111743927001954,
52
- 0.013876223564147949,
53
- 0.013851648330688476,
54
- 0.013814784049987794,
55
- 0.013837311744689941,
56
- 0.013922304153442382,
57
  0.013884415626525879,
58
- 0.013908991813659668,
59
- 0.01389363193511963,
60
- 0.013942784309387207,
61
- 0.013946880340576171,
62
- 0.014411775588989258,
63
- 0.014575615882873535,
64
- 0.014163968086242675,
65
- 0.013985759735107422,
66
- 0.013831168174743653,
67
- 0.013996031761169434,
68
- 0.013950976371765136,
69
- 0.013414431571960449,
70
- 0.013437952041625977,
71
- 0.013328384399414063,
72
- 0.013405183792114257,
73
- 0.013437952041625977,
74
- 0.013409279823303222,
75
- 0.013791263580322266,
76
- 0.01338265609741211,
77
- 0.013398015975952148,
78
- 0.013426688194274903,
79
- 0.013392895698547362,
80
- 0.01344921588897705,
81
- 0.013414400100708008,
82
  0.013884415626525879,
83
- 0.014279680252075195,
84
- 0.014229503631591797,
85
- 0.014221311569213867,
86
- 0.01420083236694336,
87
- 0.013988863945007325,
88
- 0.01397862434387207,
89
- 0.013890560150146485,
90
- 0.013930496215820312,
91
- 0.013857791900634766,
92
- 0.013451231956481933,
93
- 0.013423616409301758,
94
- 0.013437888145446778,
95
- 0.013423616409301758,
96
- 0.01340006446838379,
97
- 0.0134901762008667,
98
- 0.013455360412597657,
99
- 0.013401087760925292,
100
- 0.013435903549194337,
101
- 0.013434880256652832,
102
- 0.013429759979248047,
103
- 0.013410304069519043,
104
- 0.013439999580383302,
105
- 0.013414400100708008,
106
- 0.01343283176422119,
107
- 0.013387776374816895,
108
- 0.01337548828125,
109
- 0.01389568042755127,
110
- 0.013872127532958984,
111
- 0.013926400184631347,
112
- 0.013881343841552735,
113
- 0.013922304153442382,
114
- 0.013801471710205078
115
  ],
116
- "count": 73,
117
- "total": 1.003763647079468,
118
- "mean": 0.013750186946294079,
119
- "p50": 0.013851648330688476,
120
- "p90": 0.01408860149383545,
121
- "p95": 0.014224588394165039,
122
- "p99": 0.014457650871276855,
123
- "stdev": 0.0002981623134446914,
124
- "stdev_": 2.168423706595869
125
  },
126
  "throughput": {
127
  "unit": "samples/s",
128
- "value": 72.72628393387174
129
  },
130
  "energy": {
131
  "unit": "kWh",
132
- "cpu": 1.5999063500925737e-07,
133
- "ram": 8.734367333699322e-08,
134
- "gpu": 3.379965666933336e-07,
135
- "total": 5.853308750395842e-07
136
  },
137
  "efficiency": {
138
  "unit": "samples/kWh",
139
- "value": 1708435.4211323175
140
  }
141
  }
142
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 799.727616,
6
  "max_global_vram": 1410.859008,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.07677542114257813
15
  ],
16
  "count": 1,
17
+ "total": 0.07677542114257813,
18
+ "mean": 0.07677542114257813,
19
+ "p50": 0.07677542114257813,
20
+ "p90": 0.07677542114257813,
21
+ "p95": 0.07677542114257813,
22
+ "p99": 0.07677542114257813,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
 
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
+ "max_ram": 1188.806656,
34
  "max_global_vram": 1442.316288,
35
  "max_process_vram": 0.0,
36
  "max_reserved": 794.820608,
 
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
+ 0.0140830717086792,
43
+ 0.01398476791381836,
44
+ 0.014071807861328126,
45
+ 0.013742079734802246,
46
+ 0.013666303634643554,
47
+ 0.013791168212890625,
48
+ 0.01374617576599121,
49
+ 0.013675519943237305,
50
+ 0.013778079986572265,
51
+ 0.013971455574035644,
52
+ 0.013956095695495606,
53
+ 0.013738880157470703,
54
+ 0.013829119682312012,
55
+ 0.014041088104248046,
56
+ 0.013839360237121581,
57
+ 0.013899776458740234,
58
+ 0.013836288452148437,
59
+ 0.013798399925231934,
60
+ 0.01408409595489502,
61
+ 0.013775872230529786,
62
+ 0.01366528034210205,
63
+ 0.013741056442260742,
64
+ 0.013771776199340821,
65
+ 0.014114815711975098,
66
+ 0.014137344360351562,
67
+ 0.014023679733276367,
68
+ 0.01377280044555664,
69
+ 0.013730815887451172,
70
+ 0.013752320289611816,
71
+ 0.013660160064697266,
72
+ 0.013644800186157227,
73
+ 0.013637632369995116,
74
+ 0.013705216407775878,
75
+ 0.013743103981018067,
76
+ 0.013750271797180176,
77
+ 0.013820992469787598,
78
+ 0.014048255920410157,
79
+ 0.015538175582885743,
80
+ 0.01626006317138672,
81
+ 0.014354335784912109,
82
+ 0.014243680000305176,
83
+ 0.01409126377105713,
84
+ 0.013887424468994141,
85
+ 0.013920255661010742,
86
+ 0.013944831848144532,
87
+ 0.013889535903930664,
88
+ 0.013829119682312012,
89
+ 0.013966336250305175,
90
+ 0.013896703720092773,
91
+ 0.013832159996032715,
92
  0.013845503807067871,
93
+ 0.01387929630279541,
 
 
 
 
 
 
 
 
 
94
  0.013884415626525879,
95
+ 0.013858752250671387,
96
+ 0.013841407775878906,
97
+ 0.013853695869445801,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
98
  0.013884415626525879,
99
+ 0.013840383529663085,
100
+ 0.013907967567443847,
101
+ 0.013819904327392578,
102
+ 0.013833215713500976,
103
+ 0.013812735557556152,
104
+ 0.013840479850769043,
105
+ 0.013854720115661622,
106
+ 0.013840383529663085,
107
+ 0.013848511695861817,
108
+ 0.013942784309387207,
109
+ 0.013868032455444336,
110
+ 0.013927424430847168,
111
+ 0.01366323184967041,
112
+ 0.014124032020568847,
113
+ 0.014223360061645507
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
114
  ],
115
+ "count": 72,
116
+ "total": 1.0030782699584964,
117
+ "mean": 0.013931642638312444,
118
+ "p50": 0.013847007751464843,
119
+ "p90": 0.0141124605178833,
120
+ "p95": 0.014232504034042357,
121
+ "p99": 0.01574752298355103,
122
+ "stdev": 0.0003685869960811327,
123
+ "stdev_": 2.645682247601637
124
  },
125
  "throughput": {
126
  "unit": "samples/s",
127
+ "value": 71.77904472297972
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
+ "cpu": 1.610950002064517e-07,
132
+ "ram": 8.794704554914115e-08,
133
+ "gpu": 3.3525552345944693e-07,
134
+ "total": 5.842975692150398e-07
135
  },
136
  "efficiency": {
137
  "unit": "samples/kWh",
138
+ "value": 1711456.717753294
139
  }
140
  }
141
  }