Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
bf822d3
·
verified ·
1 Parent(s): 91ff88b

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 +92 -98
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,133 +2,127 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1055.916032,
6
  "max_global_vram": 68702.69952,
7
- "max_process_vram": 47221.501952,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 8.588958984375,
15
- "mean": 8.588958984375,
16
  "stdev": 0.0,
17
- "p50": 8.588958984375,
18
- "p90": 8.588958984375,
19
- "p95": 8.588958984375,
20
- "p99": 8.588958984375,
21
  "values": [
22
- 8.588958984375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": null,
27
- "efficiency": null,
28
- "measures": null
29
  },
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
- "max_ram": 1189.965824,
34
  "max_global_vram": 68702.69952,
35
- "max_process_vram": 307372.183552,
36
  "max_reserved": 773.849088,
37
  "max_allocated": 745.086976
38
  },
39
  "latency": {
40
  "unit": "s",
41
- "count": 74,
42
- "total": 1.0129504709243775,
43
- "mean": 0.013688519877356453,
44
- "stdev": 0.0026634038742871288,
45
- "p50": 0.013126173973083495,
46
- "p90": 0.014283593273162842,
47
- "p95": 0.015055252838134758,
48
- "p99": 0.023098992252349793,
49
  "values": [
50
- 0.014018170356750488,
51
- 0.013391934394836425,
52
- 0.013501052856445312,
53
- 0.013218334197998047,
54
- 0.01340377426147461,
55
- 0.01304553508758545,
56
- 0.013238014221191407,
57
- 0.012991934776306153,
58
- 0.03436382675170899,
59
- 0.012829376220703124,
60
- 0.013134014129638672,
61
- 0.015863121032714842,
62
- 0.013370174407958985,
63
- 0.013049374580383301,
64
- 0.013233373641967774,
65
- 0.01312697410583496,
66
- 0.013491932868957519,
67
- 0.013193695068359376,
68
- 0.013145535469055177,
69
- 0.01292537498474121,
70
- 0.012628577232360839,
71
- 0.012865055084228515,
72
- 0.012877535820007325,
73
- 0.012650497436523437,
74
- 0.01261833667755127,
75
- 0.01267929744720459,
76
- 0.01290185546875,
77
- 0.012642336845397948,
78
- 0.012635136604309082,
79
- 0.012973215103149414,
80
- 0.012693856239318848,
81
- 0.01272409725189209,
82
- 0.012663456916809082,
83
- 0.012612417221069335,
84
- 0.012950495719909668,
85
- 0.012662177085876464,
86
- 0.01266745662689209,
87
- 0.012622817039489746,
88
- 0.01888006591796875,
89
- 0.014039449691772461,
90
- 0.013429693222045899,
91
- 0.01312537384033203,
92
- 0.013554971694946289,
93
- 0.013321852684020996,
94
- 0.013250973701477051,
95
- 0.013284893989562988,
96
- 0.013537213325500489,
97
- 0.012820416450500489,
98
- 0.012641696929931641,
99
- 0.012689216613769531,
100
- 0.012946974754333497,
101
- 0.012674816131591797,
102
- 0.01267225742340088,
103
- 0.01258441734313965,
104
- 0.012968574523925781,
105
- 0.012662656784057617,
106
- 0.012687135696411132,
107
- 0.012701216697692872,
108
- 0.013340893745422364,
109
- 0.01426952838897705,
110
- 0.014268889427185058,
111
- 0.014145209312438964,
112
- 0.014620246887207032,
113
- 0.01423656940460205,
114
- 0.014277209281921386,
115
- 0.014301689147949218,
116
- 0.014189370155334472,
117
- 0.01428632926940918,
118
- 0.01450392723083496,
119
- 0.013626650810241699,
120
- 0.01390377140045166,
121
- 0.01296009635925293,
122
- 0.01300953483581543,
123
- 0.018932546615600586
124
  ]
125
  },
126
  "throughput": {
127
  "unit": "samples/s",
128
- "value": 73.05391736722389
129
  },
130
  "energy": null,
131
- "efficiency": null,
132
- "measures": null
133
  }
134
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1057.886208,
6
  "max_global_vram": 68702.69952,
7
+ "max_process_vram": 44619.07968,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 8.4430869140625,
15
+ "mean": 8.4430869140625,
16
  "stdev": 0.0,
17
+ "p50": 8.4430869140625,
18
+ "p90": 8.4430869140625,
19
+ "p95": 8.4430869140625,
20
+ "p99": 8.4430869140625,
21
  "values": [
22
+ 8.4430869140625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": null,
27
+ "efficiency": null
 
28
  },
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
+ "max_ram": 1191.829504,
33
  "max_global_vram": 68702.69952,
34
+ "max_process_vram": 293378.125824,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
+ "count": 70,
41
+ "total": 1.0109701175689698,
42
+ "mean": 0.014442430250985284,
43
+ "stdev": 0.0010261607689387008,
44
+ "p50": 0.014400748729705811,
45
+ "p90": 0.014661899662017822,
46
+ "p95": 0.014673754787445068,
47
+ "p99": 0.01727330260276796,
48
  "values": [
49
+ 0.014889386177062989,
50
+ 0.014675626754760742,
51
+ 0.014572267532348632,
52
+ 0.014380908966064454,
53
+ 0.014236748695373535,
54
+ 0.014350028038024902,
55
+ 0.01417130947113037,
56
+ 0.014321867942810058,
57
+ 0.014266509056091309,
58
+ 0.014267949104309082,
59
+ 0.014314027786254882,
60
+ 0.014443147659301757,
61
+ 0.014425228118896485,
62
+ 0.014486187934875489,
63
+ 0.014335148811340332,
64
+ 0.014387308120727539,
65
+ 0.014443947792053222,
66
+ 0.014544427871704102,
67
+ 0.014365867614746093,
68
+ 0.014408107757568359,
69
+ 0.01429722785949707,
70
+ 0.014589386940002442,
71
+ 0.014349068641662598,
72
+ 0.014337228775024415,
73
+ 0.014392428398132324,
74
+ 0.01456330680847168,
75
+ 0.014338188171386719,
76
+ 0.014298349380493165,
77
+ 0.014357229232788087,
78
+ 0.014623308181762695,
79
+ 0.014301227569580079,
80
+ 0.014425707817077636,
81
+ 0.02257943916320801,
82
+ 0.014547467231750488,
83
+ 0.014483628273010253,
84
+ 0.01448058795928955,
85
+ 0.014422348022460937,
86
+ 0.014665067672729492,
87
+ 0.014421708106994629,
88
+ 0.014377388000488281,
89
+ 0.014327629089355469,
90
+ 0.01442714786529541,
91
+ 0.014670987129211426,
92
+ 0.01436474895477295,
93
+ 0.014409387588500976,
94
+ 0.014411467552185059,
95
+ 0.014308588981628418,
96
+ 0.014661547660827636,
97
+ 0.014028109550476075,
98
+ 0.013560111045837403,
99
+ 0.014038828849792481,
100
+ 0.013562991142272949,
101
+ 0.014035788536071778,
102
+ 0.013542510986328126,
103
+ 0.01366619110107422,
104
+ 0.013379311561584473,
105
+ 0.01361579132080078,
106
+ 0.013630670547485351,
107
+ 0.013734669685363769,
108
+ 0.014393709182739257,
109
+ 0.014407788276672363,
110
+ 0.01445546817779541,
111
+ 0.014423948287963867,
112
+ 0.014671466827392577,
113
+ 0.014438347816467285,
114
+ 0.014497547149658204,
115
+ 0.014484107971191406,
116
+ 0.014438828468322755,
117
+ 0.014501386642456055,
118
+ 0.014744746208190917
 
 
 
 
119
  ]
120
  },
121
  "throughput": {
122
  "unit": "samples/s",
123
+ "value": 69.24042440376532
124
  },
125
  "energy": null,
126
+ "efficiency": null
 
127
  }
128
  }