Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
295777c
·
verified ·
1 Parent(s): 59b19bd

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 +87 -88
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,24 +2,24 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 968.237056,
6
  "max_global_vram": 68702.69952,
7
- "max_process_vram": 47960.449024,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 8.686638671875,
15
- "mean": 8.686638671875,
16
  "stdev": 0.0,
17
- "p50": 8.686638671875,
18
- "p90": 8.686638671875,
19
- "p95": 8.686638671875,
20
- "p99": 8.686638671875,
21
  "values": [
22
- 8.686638671875
23
  ]
24
  },
25
  "throughput": null,
@@ -29,96 +29,95 @@
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
- "max_ram": 1110.69184,
33
  "max_global_vram": 68702.69952,
34
- "max_process_vram": 268298.706944,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
- "count": 68,
41
- "total": 1.0114993982315061,
42
- "mean": 0.014874991150463326,
43
- "stdev": 0.0009950715423193012,
44
- "p50": 0.014758656978607178,
45
- "p90": 0.015081314277648927,
46
- "p95": 0.015235009384155274,
47
- "p99": 0.017783230953216538,
48
  "values": [
49
- 0.015181458473205567,
50
- 0.01531857681274414,
51
- 0.015191537857055664,
52
- 0.015280016899108887,
53
- 0.015121297836303711,
54
- 0.015258417129516602,
55
- 0.014874576568603515,
56
- 0.014973297119140624,
57
- 0.01475313663482666,
58
- 0.014998417854309082,
59
- 0.014826416969299316,
60
- 0.014884337425231934,
61
- 0.014866256713867187,
62
- 0.014933457374572754,
63
- 0.014920177459716797,
64
- 0.01475905704498291,
65
- 0.014758256912231446,
66
- 0.01469857692718506,
67
- 0.01478049659729004,
68
- 0.014783857345581054,
69
- 0.01473825740814209,
70
- 0.014808656692504883,
71
- 0.014962737083435058,
72
- 0.015033937454223633,
73
- 0.014792656898498536,
74
- 0.014823376655578613,
75
- 0.01476785659790039,
76
- 0.014695696830749512,
77
- 0.014856017112731934,
78
- 0.014810096740722657,
79
- 0.014731857299804687,
80
- 0.014889296531677245,
81
- 0.014952016830444335,
82
- 0.015064178466796875,
83
- 0.014936656951904296,
84
- 0.01496369743347168,
85
- 0.015016496658325195,
86
- 0.015017936706542969,
87
- 0.01496385669708252,
88
- 0.014700337409973145,
89
- 0.014632816314697266,
90
- 0.014553297042846679,
91
- 0.014454257011413575,
92
- 0.014449775695800781,
93
- 0.014487056732177735,
94
- 0.014495697021484375,
95
- 0.01443073558807373,
96
- 0.014541136741638183,
97
- 0.0227872257232666,
98
- 0.014280655860900878,
99
- 0.014495697021484375,
100
- 0.014491216659545898,
101
- 0.014468175888061523,
102
- 0.014531856536865234,
103
- 0.014539696693420411,
104
- 0.014507856369018555,
105
- 0.014511857032775879,
106
- 0.014614577293395997,
107
- 0.014474736213684083,
108
- 0.014500496864318847,
109
- 0.01460673713684082,
110
- 0.014495535850524903,
111
- 0.014683217048645019,
112
- 0.014612977027893066,
113
- 0.014455696105957032,
114
- 0.014590415954589844,
115
- 0.014556977272033691,
116
- 0.014561777114868163
117
  ]
118
  },
119
  "throughput": {
120
  "unit": "samples/s",
121
- "value": 67.22693075140768
122
  },
123
  "energy": null,
124
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 969.654272,
6
  "max_global_vram": 68702.69952,
7
+ "max_process_vram": 46762.881024,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 8.5736162109375,
15
+ "mean": 8.5736162109375,
16
  "stdev": 0.0,
17
+ "p50": 8.5736162109375,
18
+ "p90": 8.5736162109375,
19
+ "p95": 8.5736162109375,
20
+ "p99": 8.5736162109375,
21
  "values": [
22
+ 8.5736162109375
23
  ]
24
  },
25
  "throughput": null,
 
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
+ "max_ram": 1112.170496,
33
  "max_global_vram": 68702.69952,
34
+ "max_process_vram": 316954.873856,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
+ "count": 67,
41
+ "total": 1.0053831491470338,
42
+ "mean": 0.015005718643985578,
43
+ "stdev": 0.012456730797728176,
44
+ "p50": 0.013082847595214844,
45
+ "p90": 0.014571548461914063,
46
+ "p95": 0.014696044731140136,
47
+ "p99": 0.05023292881011997,
48
  "values": [
49
+ 0.01377820587158203,
50
+ 0.013474686622619629,
51
+ 0.012971648216247559,
52
+ 0.013001568794250488,
53
+ 0.014435644149780274,
54
+ 0.014639485359191894,
55
+ 0.01459660530090332,
56
+ 0.014554843902587891,
57
+ 0.014385245323181152,
58
+ 0.01368028736114502,
59
+ 0.01451612377166748,
60
+ 0.01439852523803711,
61
+ 0.014729084014892578,
62
+ 0.014720284461975097,
63
+ 0.014607483863830567,
64
+ 0.014507004737854004,
65
+ 0.014546684265136719,
66
+ 0.014495325088500977,
67
+ 0.013843965530395509,
68
+ 0.01370140552520752,
69
+ 0.013687006950378418,
70
+ 0.013195808410644532,
71
+ 0.01266172981262207,
72
+ 0.016345399856567383,
73
+ 0.013383646965026856,
74
+ 0.013082847595214844,
75
+ 0.01271436882019043,
76
+ 0.012857728004455567,
77
+ 0.012761569023132325,
78
+ 0.012851489067077638,
79
+ 0.01268588924407959,
80
+ 0.012925888061523437,
81
+ 0.012876769065856934,
82
+ 0.01283996868133545,
83
+ 0.01282892894744873,
84
+ 0.012902527809143067,
85
+ 0.01302284812927246,
86
+ 0.012839168548583984,
87
+ 0.012890368461608888,
88
+ 0.012926209449768066,
89
+ 0.013015647888183594,
90
+ 0.012900447845458985,
91
+ 0.012892449378967285,
92
+ 0.013000448226928711,
93
+ 0.01307196807861328,
94
+ 0.013233247756958008,
95
+ 0.01342060661315918,
96
+ 0.012721569061279296,
97
+ 0.012986687660217286,
98
+ 0.012989407539367675,
99
+ 0.012993087768554687,
100
+ 0.013735647201538087,
101
+ 0.01327100658416748,
102
+ 0.01351596736907959,
103
+ 0.01348060703277588,
104
+ 0.01363564682006836,
105
+ 0.11601460266113281,
106
+ 0.014313084602355957,
107
+ 0.014380125045776368,
108
+ 0.014363325119018555,
109
+ 0.013054847717285156,
110
+ 0.01284428882598877,
111
+ 0.012729248046875,
112
+ 0.012806848526000976,
113
+ 0.012647969245910645,
114
+ 0.012767329216003417,
115
+ 0.012732769012451172
 
116
  ]
117
  },
118
  "throughput": {
119
  "unit": "samples/s",
120
+ "value": 66.64126015722736
121
  },
122
  "energy": null,
123
  "efficiency": null