Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
39180ce
·
verified ·
1 Parent(s): 848aab0

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 +95 -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": 797.237248,
6
  "max_global_vram": 1410.859008,
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": 7.9610634765625,
15
- "mean": 7.9610634765625,
16
  "stdev": 0.0,
17
- "p50": 7.9610634765625,
18
- "p90": 7.9610634765625,
19
- "p95": 7.9610634765625,
20
- "p99": 7.9610634765625,
21
  "values": [
22
- 7.9610634765625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 2.346432673610524e-06,
29
- "ram": 1.266023661966651e-06,
30
- "gpu": 3.635836242000222e-06,
31
- "total": 7.248292577577396e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1186.500608,
39
  "max_global_vram": 1442.316288,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,101 +43,102 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 70,
47
- "total": 1.0039458560943606,
48
- "mean": 0.014342083658490866,
49
- "stdev": 0.0003804208047628493,
50
- "p50": 0.014442495822906493,
51
- "p90": 0.014762950325012208,
52
- "p95": 0.014897305870056152,
53
- "p99": 0.01512332283973694,
54
  "values": [
55
- 0.015319040298461914,
56
- 0.014859231948852539,
57
- 0.013892607688903809,
58
- 0.013922304153442382,
59
- 0.013831168174743653,
60
- 0.013914112091064454,
61
- 0.013759488105773926,
62
- 0.013708288192749024,
63
- 0.014053376197814941,
64
- 0.014726143836975097,
65
- 0.014566399574279786,
66
- 0.014457856178283691,
67
- 0.014751744270324708,
68
- 0.014567423820495605,
69
- 0.014702591896057129,
70
- 0.014595071792602539,
71
- 0.014581727981567382,
72
- 0.01448038387298584,
73
- 0.014482432365417481,
74
- 0.01448857593536377,
75
- 0.014436351776123046,
76
- 0.014482432365417481,
77
- 0.014753727912902833,
78
- 0.014725119590759277,
79
- 0.014582783699035644,
80
- 0.014508031845092773,
81
- 0.014569472312927247,
82
- 0.014636032104492188,
83
- 0.014381088256835938,
84
- 0.014515199661254884,
85
- 0.014722047805786133,
86
- 0.014389247894287109,
87
- 0.01444863986968994,
88
- 0.01438815975189209,
89
- 0.014355456352233887,
90
- 0.015035391807556153,
91
- 0.014845952033996582,
92
- 0.01468518352508545,
93
- 0.014533599853515626,
94
- 0.014867456436157226,
95
- 0.014554112434387208,
96
- 0.014361599922180175,
97
- 0.014458880424499512,
98
- 0.014322688102722168,
99
- 0.014142463684082032,
100
- 0.014921728134155274,
101
- 0.014502911567687989,
102
- 0.014715904235839844,
103
- 0.014504960060119629,
104
- 0.014227456092834472,
105
- 0.01429094409942627,
106
- 0.01498624038696289,
107
- 0.014358528137207031,
108
- 0.013958144187927245,
109
  0.013884415626525879,
110
- 0.013882368087768555,
111
- 0.01387724781036377,
112
- 0.013867008209228515,
113
- 0.013890560150146485,
114
- 0.013873215675354003,
 
 
 
 
 
115
  0.013894656181335448,
116
- 0.013853695869445801,
117
- 0.01387724781036377,
118
- 0.013839360237121581,
119
- 0.013919232368469238,
120
- 0.013849599838256836,
121
- 0.013913087844848633,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
122
  0.0138854398727417,
123
- 0.013917183876037598,
124
- 0.01389363193511963
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
125
  ]
126
  },
127
  "throughput": {
128
  "unit": "samples/s",
129
- "value": 69.72487567439167
130
  },
131
  "energy": {
132
  "unit": "kWh",
133
- "cpu": 1.651083478877189e-07,
134
- "ram": 9.016195993020896e-08,
135
- "gpu": 3.5424796858333176e-07,
136
- "total": 6.095182764012596e-07
137
  },
138
  "efficiency": {
139
  "unit": "samples/kWh",
140
- "value": 1640639.8933666716
141
  }
142
  }
143
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 797.5936,
6
  "max_global_vram": 1410.859008,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.9929375,
15
+ "mean": 7.9929375,
16
  "stdev": 0.0,
17
+ "p50": 7.9929375,
18
+ "p90": 7.9929375,
19
+ "p95": 7.9929375,
20
+ "p99": 7.9929375,
21
  "values": [
22
+ 7.9929375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 2.4354250527779128e-06,
29
+ "ram": 1.3027255198824916e-06,
30
+ "gpu": 3.359169353999228e-06,
31
+ "total": 7.097319926659632e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1185.3824,
39
  "max_global_vram": 1442.316288,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 71,
47
+ "total": 0.9975028810501098,
48
+ "mean": 0.014049336352818449,
49
+ "stdev": 0.0002891075434930633,
50
+ "p50": 0.01396019172668457,
51
+ "p90": 0.014253055572509766,
52
+ "p95": 0.014562815666198731,
53
+ "p99": 0.015281561374664306,
54
  "values": [
55
+ 0.015523839950561523,
56
+ 0.015177727699279785,
57
+ 0.014757887840270996,
58
+ 0.014145536422729492,
59
+ 0.013928447723388672,
60
+ 0.014154751777648926,
61
+ 0.013919232368469238,
62
+ 0.013839360237121581,
63
+ 0.013856703758239747,
64
+ 0.01417728042602539,
65
+ 0.014041088104248046,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
66
  0.013884415626525879,
67
+ 0.014006272315979004,
68
+ 0.014065664291381836,
69
+ 0.014006272315979004,
70
+ 0.014002176284790039,
71
+ 0.013910016059875489,
72
+ 0.014072832107543945,
73
+ 0.013857791900634766,
74
+ 0.013956095695495606,
75
+ 0.013953023910522461,
76
+ 0.014014464378356933,
77
  0.013894656181335448,
78
+ 0.014235584259033204,
79
+ 0.014020607948303223,
80
+ 0.014103551864624024,
81
+ 0.013835264205932616,
82
+ 0.014112768173217773,
83
+ 0.013950976371765136,
84
+ 0.013892607688903809,
85
+ 0.013728768348693847,
86
+ 0.013888511657714844,
87
+ 0.014114815711975098,
88
+ 0.01387110424041748,
89
+ 0.013824992179870606,
90
+ 0.013959168434143066,
91
+ 0.013848575592041015,
92
+ 0.014268416404724121,
93
+ 0.014172160148620605,
94
+ 0.01416806411743164,
95
+ 0.014007295608520508,
96
+ 0.014047231674194336,
97
+ 0.014000127792358399,
98
+ 0.01396019172668457,
99
+ 0.013890560150146485,
100
+ 0.01396224021911621,
101
+ 0.013636608123779297,
102
+ 0.014253055572509766,
103
+ 0.014474240303039551,
104
+ 0.01448755168914795,
105
+ 0.014638079643249511,
106
+ 0.014113792419433594,
107
+ 0.013927424430847168,
108
  0.0138854398727417,
109
+ 0.01399500846862793,
110
+ 0.014070783615112305,
111
+ 0.013905920028686524,
112
+ 0.013915136337280273,
113
+ 0.013924351692199707,
114
+ 0.01387724781036377,
115
+ 0.013945792198181152,
116
+ 0.013945856094360352,
117
+ 0.013993984222412109,
118
+ 0.013944831848144532,
119
+ 0.013972479820251465,
120
+ 0.013935615539550781,
121
+ 0.013908032417297364,
122
+ 0.013897791862487793,
123
+ 0.013912063598632812,
124
+ 0.013957119941711426,
125
+ 0.01397555160522461
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
+ "value": 71.17773928157035
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
+ "cpu": 1.6838517758215578e-07,
135
+ "ram": 9.193388476661325e-08,
136
+ "gpu": 3.5215990614083593e-07,
137
+ "total": 6.12478968489605e-07
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
+ "value": 1632709.123818628
142
  }
143
  }
144
  }