Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
89116d1
·
verified ·
1 Parent(s): 2b11fed

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 +83 -91
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": 1377.439744,
6
- "max_global_vram": 11.333632,
7
- "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 8.0404716796875,
15
- "mean": 8.0404716796875,
16
  "stdev": 0.0,
17
- "p50": 8.0404716796875,
18
- "p90": 8.0404716796875,
19
- "p95": 8.0404716796875,
20
- "p99": 8.0404716796875,
21
  "values": [
22
- 8.0404716796875
23
  ]
24
  },
25
  "throughput": null,
@@ -29,97 +29,89 @@
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
- "max_ram": 1541.144576,
33
- "max_global_vram": 11.329536,
34
- "max_process_vram": 0.0,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
- "count": 69,
41
- "total": 1.0065838251113892,
42
- "mean": 0.014588171378425928,
43
- "stdev": 0.0005706821762310424,
44
- "p50": 0.014302672386169434,
45
- "p90": 0.015501324081420898,
46
- "p95": 0.015956875228881836,
47
- "p99": 0.016061379852294923,
48
  "values": [
49
- 0.01606714630126953,
50
- 0.015781387329101563,
51
- 0.015583627700805664,
52
- 0.015480748176574707,
53
- 0.015296108245849609,
54
- 0.014707631111145019,
55
- 0.014571950912475587,
56
- 0.014445711135864257,
57
- 0.014476910591125488,
58
- 0.014823150634765626,
59
- 0.01519882869720459,
60
- 0.014316431999206543,
61
- 0.014287952423095704,
62
- 0.01432603168487549,
63
- 0.01429627227783203,
64
- 0.014356592178344726,
65
- 0.014569391250610351,
66
- 0.014185872077941895,
67
- 0.01421883201599121,
68
- 0.014190671920776367,
69
- 0.01420235252380371,
70
- 0.014158831596374512,
71
- 0.01412299346923828,
72
- 0.01422203254699707,
73
- 0.014186511993408204,
74
- 0.014302672386169434,
75
- 0.014175951957702637,
76
- 0.014415151596069336,
77
- 0.014054512977600098,
78
- 0.014855311393737794,
79
- 0.014822031021118164,
80
- 0.014970508575439453,
81
- 0.014938349723815919,
82
- 0.014721390724182128,
83
- 0.014110353469848633,
84
- 0.014258831977844237,
85
- 0.014266351699829101,
86
- 0.014116593360900879,
87
- 0.014036273002624512,
88
- 0.014102672576904297,
89
- 0.014178832054138184,
90
- 0.014150032997131348,
91
- 0.014123151779174805,
92
- 0.014143632888793946,
93
- 0.014057393074035645,
94
- 0.014133712768554688,
95
- 0.014254032135009765,
96
- 0.014182512283325194,
97
- 0.014214673042297364,
98
- 0.014185552597045898,
99
- 0.01413691234588623,
100
- 0.01416795253753662,
101
- 0.014995469093322753,
102
- 0.014719791412353515,
103
- 0.014143471717834472,
104
- 0.014175472259521484,
105
- 0.014262672424316405,
106
- 0.014126193046569825,
107
- 0.01432699203491211,
108
- 0.0144260311126709,
109
- 0.015026350021362305,
110
- 0.014900110244750976,
111
- 0.015056749343872071,
112
- 0.015068268775939942,
113
- 0.016058666229248047,
114
- 0.015993547439575196,
115
- 0.01601258659362793,
116
- 0.015901866912841796,
117
- 0.01524026870727539
118
  ]
119
  },
120
  "throughput": {
121
  "unit": "samples/s",
122
- "value": 68.54868743034335
123
  },
124
  "energy": null,
125
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1017.208832,
6
+ "max_global_vram": 1060.777984,
7
+ "max_process_vram": 45025.11616,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.71534228515625,
15
+ "mean": 7.71534228515625,
16
  "stdev": 0.0,
17
+ "p50": 7.71534228515625,
18
+ "p90": 7.71534228515625,
19
+ "p95": 7.71534228515625,
20
+ "p99": 7.71534228515625,
21
  "values": [
22
+ 7.71534228515625
23
  ]
24
  },
25
  "throughput": null,
 
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
+ "max_ram": 1177.714688,
33
+ "max_global_vram": 1142.390784,
34
+ "max_process_vram": 297258.954752,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
+ "count": 61,
41
+ "total": 1.0097399120330806,
42
+ "mean": 0.016553113312017725,
43
+ "stdev": 0.011588046137302705,
44
+ "p50": 0.01475994873046875,
45
+ "p90": 0.015008427619934083,
46
+ "p95": 0.015059787750244141,
47
+ "p99": 0.06291684494018544,
48
  "values": [
49
+ 0.01521962833404541,
50
+ 0.01500634765625,
51
+ 0.014770190238952636,
52
+ 0.014736108779907227,
53
+ 0.014700909614562989,
54
+ 0.01472362995147705,
55
+ 0.014717069625854493,
56
+ 0.014766828536987305,
57
+ 0.014766030311584473,
58
+ 0.014822989463806153,
59
+ 0.014778188705444336,
60
+ 0.014818989753723144,
61
+ 0.014764429092407227,
62
+ 0.014746829986572266,
63
+ 0.014748429298400879,
64
+ 0.014832268714904786,
65
+ 0.014717709541320801,
66
+ 0.014769389152526855,
67
+ 0.014758350372314454,
68
+ 0.014705549240112305,
69
+ 0.014747630119323731,
70
+ 0.01474026870727539,
71
+ 0.014983469009399415,
72
+ 0.014733389854431152,
73
+ 0.014773070335388183,
74
+ 0.10393405151367187,
75
+ 0.014938029289245605,
76
+ 0.014758668899536132,
77
+ 0.014791149139404297,
78
+ 0.014778349876403809,
79
+ 0.014675470352172851,
80
+ 0.014684909820556641,
81
+ 0.014213871955871583,
82
+ 0.0144543514251709,
83
+ 0.014863788604736328,
84
+ 0.014828429222106934,
85
+ 0.01473738956451416,
86
+ 0.01477514934539795,
87
+ 0.01495802879333496,
88
+ 0.014752589225769042,
89
+ 0.01459867000579834,
90
+ 0.014703149795532227,
91
+ 0.014664270401000977,
92
+ 0.01503578758239746,
93
+ 0.01474170970916748,
94
+ 0.01469770908355713,
95
+ 0.014707630157470702,
96
+ 0.014667790412902832,
97
+ 0.015008427619934083,
98
+ 0.035572040557861326,
99
+ 0.014434029579162597,
100
+ 0.014114192008972168,
101
+ 0.014060751914978027,
102
+ 0.015059787750244141,
103
+ 0.014809228897094727,
104
+ 0.014766989707946777,
105
+ 0.01475994873046875,
106
+ 0.0147295503616333,
107
+ 0.015059787750244141,
108
+ 0.014786190032958984,
109
+ 0.01477034854888916
 
 
 
 
 
 
 
 
110
  ]
111
  },
112
  "throughput": {
113
  "unit": "samples/s",
114
+ "value": 60.411596365620845
115
  },
116
  "energy": null,
117
  "efficiency": null