Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
f3ae726
·
verified ·
1 Parent(s): 68b9607

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 +97 -97
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": 751.153152,
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": 7.3885615234375,
15
- "mean": 7.3885615234375,
16
  "stdev": 0.0,
17
- "p50": 7.3885615234375,
18
- "p90": 7.3885615234375,
19
- "p95": 7.3885615234375,
20
- "p99": 7.3885615234375,
21
  "values": [
22
- 7.3885615234375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0886170055563583e-06,
29
- "ram": 5.806840762440054e-07,
30
- "gpu": 1.6422235360000897e-06,
31
- "total": 3.311524617800453e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1034.170368,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -44,104 +44,104 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 74,
47
- "total": 1.0039135370254515,
48
- "mean": 0.01356639914899259,
49
- "stdev": 0.00027392056053119463,
50
- "p50": 0.013478911876678466,
51
- "p90": 0.013805977725982667,
52
- "p95": 0.014158540534973145,
53
- "p99": 0.014669895610809325,
54
  "values": [
55
- 0.014775296211242676,
56
- 0.014606335639953612,
57
- 0.014630911827087402,
58
- 0.01415782356262207,
59
- 0.013632512092590332,
60
- 0.013516799926757812,
61
- 0.013565952301025391,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
62
  0.0134717435836792,
63
- 0.013614080429077148,
64
- 0.013512703895568847,
65
- 0.01346560001373291,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
66
  0.013446144104003906,
67
- 0.013488127708435058,
68
- 0.013519871711730956,
69
- 0.01349836826324463,
70
- 0.013417535781860352,
71
- 0.013445119857788086,
72
- 0.013437919616699219,
73
- 0.013425663948059082,
74
- 0.013466624259948731,
75
- 0.013488127708435058,
76
- 0.013461503982543945,
77
  0.01356390380859375,
78
- 0.013420543670654296,
79
- 0.013484031677246093,
80
- 0.013486144065856933,
81
- 0.013650943756103515,
82
- 0.013477888107299805,
83
- 0.013530112266540528,
84
- 0.013466624259948731,
85
- 0.013544447898864746,
86
- 0.01347379207611084,
87
- 0.013479935646057128,
88
- 0.013509632110595703,
89
- 0.013465632438659668,
90
- 0.013515775680541992,
91
- 0.01344819164276123,
92
- 0.013476863861083984,
93
- 0.013489151954650879,
94
- 0.013434880256652832,
95
- 0.013443072319030762,
96
- 0.01344819164276123,
97
- 0.01339084815979004,
98
- 0.013431808471679688,
99
- 0.013434880256652832,
100
- 0.013427712440490723,
101
- 0.013487104415893555,
102
- 0.013454336166381836,
103
- 0.013419584274291992,
104
- 0.0134901762008667,
105
- 0.013923328399658203,
106
- 0.013806591987609864,
107
- 0.013804544448852539,
108
- 0.014015487670898438,
109
- 0.013620223999023438,
110
- 0.01348198413848877,
111
- 0.013604864120483399,
112
- 0.013490240097045898,
113
- 0.013496319770812988,
114
- 0.013442048072814941,
115
- 0.013433856010437012,
116
- 0.013401087760925292,
117
- 0.013418496131896973,
118
- 0.01349120044708252,
119
- 0.01415987205505371,
120
- 0.013504511833190918,
121
- 0.013459456443786622,
122
- 0.013435903549194337,
123
- 0.013411328315734864,
124
- 0.013446175575256347,
125
- 0.013368351936340332,
126
- 0.013433856010437012,
127
- 0.013461503982543945,
128
- 0.013411328315734864
129
  ]
130
  },
131
  "throughput": {
132
  "unit": "samples/s",
133
- "value": 73.71152720906474
134
  },
135
  "energy": {
136
  "unit": "kWh",
137
- "cpu": 1.5260436858973856e-07,
138
- "ram": 8.332171882461302e-08,
139
- "gpu": 3.2982576243590593e-07,
140
- "total": 5.657518498502576e-07
141
  },
142
  "efficiency": {
143
  "unit": "samples/kWh",
144
- "value": 1767559.3995223853
145
  }
146
  }
147
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 751.104,
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": 7.43402392578125,
15
+ "mean": 7.43402392578125,
16
  "stdev": 0.0,
17
+ "p50": 7.43402392578125,
18
+ "p90": 7.43402392578125,
19
+ "p95": 7.43402392578125,
20
+ "p99": 7.43402392578125,
21
  "values": [
22
+ 7.43402392578125
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.1257910236109424e-06,
29
+ "ram": 6.013756795681594e-07,
30
+ "gpu": 1.7619458539995872e-06,
31
+ "total": 3.489112557178689e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1034.129408,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 74,
47
+ "total": 1.005965280532837,
48
+ "mean": 0.013594125412605905,
49
+ "stdev": 0.0002765650666299475,
50
+ "p50": 0.013535232067108154,
51
+ "p90": 0.013750818920135499,
52
+ "p95": 0.013949654817581177,
53
+ "p99": 0.01483474076271057,
54
  "values": [
55
+ 0.014893024444580079,
56
+ 0.014656512260437012,
57
+ 0.014813183784484863,
58
+ 0.01391916847229004,
59
+ 0.013723648071289063,
60
+ 0.013577216148376465,
61
+ 0.01359769630432129,
62
+ 0.01363046360015869,
63
+ 0.01370419216156006,
64
+ 0.01356492805480957,
65
+ 0.013536255836486816,
66
+ 0.013551615715026855,
67
+ 0.013536255836486816,
68
+ 0.013532159805297851,
69
+ 0.013446175575256347,
70
+ 0.013524991989135742,
71
+ 0.013528063774108886,
72
+ 0.013520895957946777,
73
+ 0.013510560035705567,
74
+ 0.013545472145080567,
75
+ 0.013544447898864746,
76
+ 0.01387116813659668,
77
+ 0.013599743843078613,
78
+ 0.013534208297729493,
79
+ 0.01355571174621582,
80
+ 0.01348198413848877,
81
+ 0.01353932762145996,
82
+ 0.013536255836486816,
83
+ 0.013622271537780761,
84
+ 0.013501440048217773,
85
+ 0.01350656032562256,
86
+ 0.013586432456970214,
87
+ 0.01350656032562256,
88
+ 0.01353929615020752,
89
+ 0.013526016235351563,
90
+ 0.013451264381408692,
91
+ 0.013551615715026855,
92
+ 0.01358847999572754,
93
+ 0.013409279823303222,
94
+ 0.013232288360595703,
95
+ 0.013513728141784668,
96
+ 0.013571071624755859,
97
  0.0134717435836792,
98
+ 0.013497344017028809,
99
+ 0.013557760238647461,
100
+ 0.013524991989135742,
101
+ 0.013406240463256835,
102
+ 0.013344767570495606,
103
+ 0.013313023567199708,
104
+ 0.013303808212280274,
105
+ 0.013608960151672364,
106
+ 0.013709312438964843,
107
+ 0.013845503807067871,
108
+ 0.013762463569641113,
109
+ 0.013617152214050294,
110
+ 0.013485088348388671,
111
+ 0.013520895957946777,
112
+ 0.013532192230224609,
113
+ 0.013499391555786134,
114
+ 0.013511679649353027,
115
+ 0.01348300838470459,
116
+ 0.013500415802001953,
117
  0.013446144104003906,
118
+ 0.01335807991027832,
119
+ 0.013642751693725585,
120
+ 0.014006272315979004,
121
+ 0.013591551780700683,
122
+ 0.013560832023620606,
123
+ 0.01338368034362793,
124
+ 0.013501440048217773,
125
+ 0.0134716796875,
 
 
126
  0.01356390380859375,
127
+ 0.013379584312438965,
128
+ 0.01348198413848877
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
129
  ]
130
  },
131
  "throughput": {
132
  "unit": "samples/s",
133
+ "value": 73.56118688390903
134
  },
135
  "energy": {
136
  "unit": "kWh",
137
+ "cpu": 1.5868794925000148e-07,
138
+ "ram": 8.639915938107797e-08,
139
+ "gpu": 3.494780573600036e-07,
140
+ "total": 5.94565165991083e-07
141
  },
142
  "efficiency": {
143
  "unit": "samples/kWh",
144
+ "value": 1681901.4251080386
145
  }
146
  }
147
  }