Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
7a9f921
·
verified ·
1 Parent(s): 1598965

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": 751.251456,
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": 7.401595703125,
15
- "mean": 7.401595703125,
16
  "stdev": 0.0,
17
- "p50": 7.401595703125,
18
- "p90": 7.401595703125,
19
- "p95": 7.401595703125,
20
- "p99": 7.401595703125,
21
  "values": [
22
- 7.401595703125
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0919329854169905e-06,
29
- "ram": 5.77506647268745e-07,
30
- "gpu": 1.8244459040004518e-06,
31
- "total": 3.493885536686187e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1034.248192,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,106 +43,104 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 75,
47
- "total": 1.0017148504257203,
48
- "mean": 0.01335619800567627,
49
- "stdev": 0.00030535898245113177,
50
- "p50": 0.013347840309143067,
51
- "p90": 0.013560831832885742,
52
- "p95": 0.01369057264328003,
53
- "p99": 0.014558044013977051,
54
  "values": [
55
- 0.014735360145568848,
56
- 0.014495743751525878,
57
- 0.014382080078125,
58
- 0.01316051197052002,
59
- 0.013046784400939941,
60
- 0.013347840309143067,
61
- 0.013405183792114257,
62
- 0.013343744277954102,
63
- 0.013401087760925292,
64
- 0.013370368003845215,
65
- 0.0132741117477417,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
66
  0.013305855751037597,
67
- 0.01326796817779541,
68
- 0.012818431854248047,
69
- 0.013081600189208984,
70
- 0.013248512268066406,
71
- 0.013208576202392578,
72
- 0.013012991905212403,
73
- 0.013273088455200196,
74
- 0.013317119598388672,
75
- 0.013322239875793456,
76
- 0.013217791557312012,
77
- 0.01318502426147461,
78
- 0.01337446403503418,
79
- 0.013442048072814941,
80
- 0.013125632286071777,
81
- 0.012912608146667481,
82
- 0.012922880172729492,
83
- 0.012930047988891602,
84
- 0.013354047775268555,
85
- 0.01337548828125,
86
- 0.013427712440490723,
87
- 0.013415424346923829,
88
- 0.013373439788818359,
89
- 0.013352959632873536,
90
- 0.013428735733032226,
91
- 0.01340006446838379,
92
- 0.013306879997253418,
93
- 0.013399040222167969,
94
- 0.013355008125305176,
95
- 0.01338265609741211,
96
- 0.013338624000549316,
97
- 0.013599743843078613,
98
- 0.013489151954650879,
99
- 0.013330431938171386,
100
- 0.013381600379943848,
101
- 0.013364224433898926,
102
- 0.013348863601684571,
103
- 0.013504511833190918,
104
- 0.013543423652648925,
105
- 0.013517824172973633,
106
- 0.01366323184967041,
107
- 0.013545472145080567,
108
- 0.013571071624755859,
109
- 0.0135731201171875,
110
- 0.01339395236968994,
111
- 0.013347840309143067,
112
- 0.013331487655639648,
113
- 0.013282303810119628,
114
- 0.01325977611541748,
115
- 0.013231103897094726,
116
- 0.013312000274658203,
117
- 0.013327391624450683,
118
- 0.013366304397583007,
119
- 0.013393919944763183,
120
- 0.013021151542663574,
121
- 0.012955648422241211,
122
- 0.012867584228515624,
123
- 0.012867584228515624,
124
- 0.013365247726440429,
125
- 0.01375436782836914,
126
- 0.01349120044708252,
127
- 0.013278207778930663,
128
  0.013298687934875488,
129
- 0.013296640396118165
 
 
 
 
 
 
 
 
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 74.87160639390106
135
  },
136
  "energy": {
137
  "unit": "kWh",
138
- "cpu": 1.591881818055617e-07,
139
- "ram": 8.684815353255269e-08,
140
- "gpu": 3.4704472208000697e-07,
141
- "total": 5.930810574181213e-07
142
  },
143
  "efficiency": {
144
  "unit": "samples/kWh",
145
- "value": 1686110.165705396
146
  }
147
  }
148
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 751.374336,
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": 7.40151806640625,
15
+ "mean": 7.40151806640625,
16
  "stdev": 0.0,
17
+ "p50": 7.40151806640625,
18
+ "p90": 7.40151806640625,
19
+ "p95": 7.40151806640625,
20
+ "p99": 7.40151806640625,
21
  "values": [
22
+ 7.40151806640625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0761633131942007e-06,
29
+ "ram": 5.741768124762805e-07,
30
+ "gpu": 1.7347236099998081e-06,
31
+ "total": 3.385063735670289e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1034.358784,
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": 73,
47
+ "total": 1.0062439041137696,
48
+ "mean": 0.013784163070051635,
49
+ "stdev": 0.0005735351036061773,
50
+ "p50": 0.013752320289611816,
51
+ "p90": 0.014214150428771973,
52
+ "p95": 0.014700339126586909,
53
+ "p99": 0.01589452781677246,
54
  "values": [
55
+ 0.015449088096618652,
56
+ 0.015070207595825195,
57
+ 0.014453760147094727,
58
+ 0.013913087844848633,
59
+ 0.013972479820251465,
60
+ 0.013843456268310546,
61
+ 0.014191616058349609,
62
+ 0.01406156826019287,
63
+ 0.013965312004089356,
64
+ 0.013570048332214356,
65
+ 0.013594623565673827,
66
+ 0.014210080146789551,
67
+ 0.014231552124023437,
68
+ 0.014070719718933105,
69
+ 0.01407795238494873,
70
+ 0.013830143928527832,
71
+ 0.013420543670654296,
72
+ 0.013378560066223144,
73
+ 0.014048255920410157,
74
+ 0.013825023651123047,
75
+ 0.014215167999267577,
76
+ 0.014162943840026856,
77
+ 0.014119935989379882,
78
+ 0.014009344100952148,
79
+ 0.013720576286315917,
80
+ 0.013907967567443847,
81
+ 0.013962207794189453,
82
+ 0.01376460838317871,
83
+ 0.013855744361877441,
84
+ 0.01385267162322998,
85
+ 0.013846528053283692,
86
+ 0.013403136253356934,
87
+ 0.013890560150146485,
88
+ 0.014313471794128419,
89
+ 0.014196736335754395,
90
+ 0.013752320289611816,
91
+ 0.014009344100952148,
92
+ 0.013565919876098632,
93
+ 0.013658111572265624,
94
+ 0.013792256355285644,
95
+ 0.013822976112365723,
96
+ 0.013751296043395997,
97
+ 0.013460479736328124,
98
+ 0.015815679550170898,
99
+ 0.016097280502319337,
100
+ 0.014160896301269531,
101
+ 0.013864959716796875,
102
+ 0.013478912353515626,
103
+ 0.013394944190979004,
104
+ 0.013434880256652832,
105
+ 0.013461503982543945,
106
+ 0.013381695747375489,
107
+ 0.01346668815612793,
108
+ 0.013303839683532714,
109
+ 0.013346816062927246,
110
+ 0.013368320465087891,
111
  0.013305855751037597,
112
+ 0.013264896392822266,
113
+ 0.01325772762298584,
114
+ 0.01338156795501709,
115
+ 0.013260800361633301,
116
+ 0.013434911727905273,
117
+ 0.01334988784790039,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
118
  0.013298687934875488,
119
+ 0.013377535820007324,
120
+ 0.013155327796936036,
121
+ 0.013365247726440429,
122
+ 0.013600768089294434,
123
+ 0.013672479629516602,
124
+ 0.013055999755859376,
125
+ 0.012902400016784669,
126
+ 0.012895232200622558,
127
+ 0.012875776290893554
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
+ "value": 72.54702334250999
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
+ "cpu": 1.5968815416665537e-07,
137
+ "ram": 8.730689275286781e-08,
138
+ "gpu": 3.4552249864000057e-07,
139
+ "total": 5.925175455595238e-07
140
  },
141
  "efficiency": {
142
  "unit": "samples/kWh",
143
+ "value": 1687713.7352205901
144
  }
145
  }
146
  }