Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
2f56908
·
verified ·
1 Parent(s): 9698aef

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 -95
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": 772.763648,
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": 7.41741162109375,
15
- "mean": 7.41741162109375,
16
  "stdev": 0.0,
17
- "p50": 7.41741162109375,
18
- "p90": 7.41741162109375,
19
- "p95": 7.41741162109375,
20
- "p99": 7.41741162109375,
21
  "values": [
22
- 7.41741162109375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.067907936111507e-06,
29
- "ram": 5.698415095264832e-07,
30
- "gpu": 1.6875013500007932e-06,
31
- "total": 3.3252507956387836e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1160.23296,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -44,100 +44,100 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 70,
47
- "total": 1.0091604452133178,
48
- "mean": 0.014416577788761683,
49
- "stdev": 0.0004479176502916171,
50
- "p50": 0.014276607990264893,
51
- "p90": 0.01483212833404541,
52
- "p95": 0.015069593381881713,
53
- "p99": 0.01605791699409485,
54
  "values": [
55
- 0.016323583602905273,
56
- 0.01593855953216553,
57
- 0.0155217924118042,
58
- 0.015147007942199708,
59
- 0.014756863594055175,
60
- 0.014598143577575684,
61
- 0.014524415969848633,
62
- 0.014303232192993164,
63
- 0.0149749755859375,
64
- 0.014606335639953612,
65
- 0.014763008117675782,
66
- 0.014873600006103516,
67
- 0.01477228832244873,
68
- 0.014637056350708008,
69
- 0.01417523193359375,
70
- 0.014213120460510254,
71
- 0.014721023559570312,
72
- 0.01461350440979004,
73
- 0.014543935775756836,
74
- 0.014827520370483398,
75
- 0.014963711738586426,
76
- 0.014809087753295898,
77
- 0.014592000007629394,
78
- 0.01478553581237793,
79
- 0.014718976020812988,
80
- 0.014530559539794922,
 
 
 
 
 
 
 
 
 
 
81
  0.01407692813873291,
82
- 0.014219264030456542,
83
- 0.014020607948303223,
84
- 0.013937664031982423,
85
- 0.014023679733276367,
86
- 0.014079999923706055,
87
- 0.014483455657958985,
88
- 0.014383168220520019,
89
- 0.013961215972900391,
90
- 0.014109760284423829,
91
- 0.014025728225708007,
92
- 0.013990912437438965,
93
- 0.013829119682312012,
94
- 0.01427558422088623,
95
- 0.014277631759643555,
96
- 0.01458892822265625,
97
- 0.01458790397644043,
98
- 0.014705663681030273,
99
- 0.014680031776428223,
100
- 0.014454784393310547,
101
- 0.01437491226196289,
102
- 0.014410752296447754,
103
- 0.01416806411743164,
104
- 0.014196736335754395,
105
- 0.014130240440368652,
106
- 0.014110719680786133,
107
- 0.014072863578796387,
108
- 0.014095328330993652,
109
- 0.014094335556030273,
110
- 0.01409334373474121,
111
- 0.014136320114135742,
112
- 0.014087167739868164,
113
- 0.014109696388244629,
114
- 0.014070783615112305,
115
- 0.014086079597473145,
116
- 0.014041088104248046,
117
- 0.014098431587219238,
118
- 0.014051327705383301,
119
- 0.014073856353759765,
120
- 0.014113792419433594,
121
- 0.014121983528137207,
122
- 0.014106623649597168,
123
- 0.014285823822021485,
124
- 0.0140830717086792
125
  ]
126
  },
127
  "throughput": {
128
  "unit": "samples/s",
129
- "value": 69.3645894783394
130
  },
131
  "energy": {
132
  "unit": "kWh",
133
- "cpu": 1.6652132351465994e-07,
134
- "ram": 9.097737675217486e-08,
135
- "gpu": 3.775504563611053e-07,
136
- "total": 6.350491566279401e-07
137
  },
138
  "efficiency": {
139
  "unit": "samples/kWh",
140
- "value": 1574681.2503616563
141
  }
142
  }
143
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 751.202304,
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": 7.4032177734375,
15
+ "mean": 7.4032177734375,
16
  "stdev": 0.0,
17
+ "p50": 7.4032177734375,
18
+ "p90": 7.4032177734375,
19
+ "p95": 7.4032177734375,
20
+ "p99": 7.4032177734375,
21
  "values": [
22
+ 7.4032177734375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.084165284027863e-06,
29
+ "ram": 5.777204644630876e-07,
30
+ "gpu": 1.6552791019999041e-06,
31
+ "total": 3.3171648504908543e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1034.207232,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 70,
47
+ "total": 1.0015548772811889,
48
+ "mean": 0.014307926818302698,
49
+ "stdev": 0.00047496604955924647,
50
+ "p50": 0.014332416057586669,
51
+ "p90": 0.014924902725219727,
52
+ "p95": 0.015053670692443847,
53
+ "p99": 0.015539293546676637,
54
  "values": [
55
+ 0.015364095687866211,
56
+ 0.015890432357788087,
57
+ 0.014955519676208496,
58
+ 0.014837759971618653,
59
+ 0.014420991897583007,
60
+ 0.014461952209472656,
61
+ 0.014333951950073242,
62
+ 0.014834688186645508,
63
+ 0.014832672119140624,
64
+ 0.014548992156982422,
65
+ 0.014412799835205077,
66
+ 0.014657535552978516,
67
+ 0.014650367736816406,
68
+ 0.014462976455688477,
69
+ 0.014498815536499024,
70
+ 0.01447321605682373,
71
+ 0.014330880165100097,
72
+ 0.014358528137207031,
73
+ 0.014674880027770997,
74
+ 0.014603263854980468,
75
+ 0.014693375587463378,
76
+ 0.014735360145568848,
77
+ 0.014477312088012695,
78
+ 0.015049728393554687,
79
+ 0.014511103630065919,
80
+ 0.014438400268554688,
81
+ 0.014420991897583007,
82
+ 0.014458880424499512,
83
+ 0.014620672225952149,
84
+ 0.014348320007324219,
85
+ 0.014536735534667968,
86
+ 0.014839808464050292,
87
+ 0.014922752380371093,
88
+ 0.014944255828857422,
89
+ 0.015381535530090333,
90
+ 0.014256128311157227,
91
  0.01407692813873291,
92
+ 0.013928447723388672,
93
+ 0.013797375679016113,
94
+ 0.013799424171447755,
95
+ 0.013773823738098144,
96
+ 0.013868032455444336,
97
+ 0.013856767654418945,
98
+ 0.01400115203857422,
99
+ 0.014078911781311034,
100
+ 0.015056896209716796,
101
+ 0.014229503631591797,
102
+ 0.014142463684082032,
103
+ 0.014125056266784668,
104
+ 0.013965312004089356,
105
+ 0.013896703720092773,
106
+ 0.013825023651123047,
107
+ 0.01385267162322998,
108
+ 0.013794303894042969,
109
+ 0.013808639526367187,
110
+ 0.013821951866149903,
111
+ 0.013757439613342285,
112
+ 0.013831135749816894,
113
+ 0.013767680168151856,
114
+ 0.013910016059875489,
115
+ 0.01384447956085205,
116
+ 0.013894656181335448,
117
+ 0.013851648330688476,
118
+ 0.013841376304626465,
119
+ 0.013797375679016113,
120
+ 0.013812735557556152,
121
+ 0.01388748836517334,
122
+ 0.01386291217803955,
123
+ 0.013770751953125,
124
+ 0.013786111831665039
 
 
 
 
 
 
 
 
 
 
125
  ]
126
  },
127
  "throughput": {
128
  "unit": "samples/s",
129
+ "value": 69.89132756262075
130
  },
131
  "energy": {
132
  "unit": "kWh",
133
+ "cpu": 1.646529046392772e-07,
134
+ "ram": 9.000423442123114e-08,
135
+ "gpu": 3.4302110775000374e-07,
136
+ "total": 5.97678246810512e-07
137
  },
138
  "efficiency": {
139
  "unit": "samples/kWh",
140
+ "value": 1673141.0342211102
141
  }
142
  }
143
  }