Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
aca116b
·
verified ·
1 Parent(s): 1b93f08

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 +105 -101
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,40 +2,41 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 799.551488,
6
  "max_global_vram": 1410.859008,
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": 0.20775526428222657,
15
- "mean": 0.20775526428222657,
16
- "stdev": 0.0,
17
- "p50": 0.20775526428222657,
18
- "p90": 0.20775526428222657,
19
- "p95": 0.20775526428222657,
20
- "p99": 0.20775526428222657,
21
  "values": [
22
- 0.20775526428222657
23
- ]
 
 
 
 
 
 
 
 
 
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 2.4413154348217686e-06,
29
- "ram": 1.3191674063982213e-06,
30
- "gpu": 3.612780667960891e-06,
31
- "total": 7.373263509180881e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1188.84352,
39
  "max_global_vram": 1442.316288,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,100 +44,103 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 69,
47
- "total": 1.011129566192627,
48
- "mean": 0.014654051683951116,
49
- "stdev": 0.000853694851777217,
50
- "p50": 0.014578751564025879,
51
- "p90": 0.015185094261169435,
52
- "p95": 0.015653888130187987,
53
- "p99": 0.0179775891113281,
54
  "values": [
55
- 0.015210463523864745,
56
- 0.01574195194244385,
57
- 0.015903743743896484,
58
- 0.015178751945495606,
59
- 0.014642175674438476,
60
- 0.015097855567932129,
61
- 0.014534655570983887,
62
- 0.01459712028503418,
63
- 0.014891008377075195,
64
- 0.01478553581237793,
65
- 0.01386393642425537,
66
- 0.0139202880859375,
67
- 0.01395404815673828,
68
- 0.014065664291381836,
69
- 0.01397657585144043,
70
- 0.01460428810119629,
71
- 0.014755840301513673,
72
- 0.014592000007629394,
73
- 0.014578687667846679,
74
- 0.014630911827087402,
75
- 0.01453264045715332,
76
- 0.0146626558303833,
77
- 0.014963711738586426,
78
- 0.01485209560394287,
79
- 0.014635007858276367,
80
- 0.01468518352508545,
81
- 0.014818304061889649,
82
- 0.014713855743408203,
83
- 0.01477222442626953,
84
- 0.01458073616027832,
85
- 0.014743552207946778,
86
- 0.01471180820465088,
87
- 0.014610431671142577,
88
- 0.014578751564025879,
89
- 0.014584832191467285,
90
- 0.015394816398620606,
91
- 0.016893951416015626,
92
- 0.020280319213867186,
93
- 0.0155217924118042,
94
- 0.014854144096374512,
95
- 0.014507007598876954,
96
- 0.014574591636657714,
97
- 0.014556159973144531,
98
- 0.01437491226196289,
99
- 0.014502911567687989,
100
- 0.014460927963256836,
101
- 0.014601216316223145,
102
- 0.015143936157226562,
103
- 0.014626815795898437,
104
- 0.014499839782714843,
105
- 0.014431296348571777,
106
- 0.014319616317749024,
107
- 0.014144512176513671,
108
- 0.014116864204406738,
109
- 0.014047264099121094,
110
- 0.014181376457214356,
111
- 0.014056447982788087,
112
- 0.01415167999267578,
113
- 0.014052351951599122,
114
- 0.014109696388244629,
115
- 0.01406873607635498,
116
- 0.01407487964630127,
117
- 0.014090239524841308,
118
- 0.014104576110839843,
119
- 0.014053376197814941,
120
- 0.014117919921875,
121
- 0.014047231674194336,
122
- 0.014150655746459961,
123
- 0.014046208381652832
124
- ]
 
 
 
 
 
 
 
 
 
 
 
125
  },
126
  "throughput": {
127
  "unit": "samples/s",
128
- "value": 68.24051269692082
129
  },
130
  "energy": {
131
  "unit": "kWh",
132
- "cpu": 1.5934828780491785e-07,
133
- "ram": 8.659747369205923e-08,
134
- "gpu": 3.466076846928938e-07,
135
- "total": 5.925534461898707e-07
136
  },
137
  "efficiency": {
138
  "unit": "samples/kWh",
139
- "value": 1687611.4828628842
140
  }
141
  }
142
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 887.062528,
6
  "max_global_vram": 1410.859008,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
9
+ "max_allocated": 736.605184
10
  },
11
  "latency": {
12
  "unit": "s",
 
 
 
 
 
 
 
 
13
  "values": [
14
+ 8.00036962890625
15
+ ],
16
+ "count": 1,
17
+ "total": 8.00036962890625,
18
+ "mean": 8.00036962890625,
19
+ "p50": 8.00036962890625,
20
+ "p90": 8.00036962890625,
21
+ "p95": 8.00036962890625,
22
+ "p99": 8.00036962890625,
23
+ "stdev": 0,
24
+ "stdev_": 0
25
  },
26
  "throughput": null,
27
  "energy": {
28
  "unit": "kWh",
29
+ "cpu": 9.542446967720428e-07,
30
+ "ram": 5.035672366824078e-07,
31
+ "gpu": 1.8333347999721639e-06,
32
+ "total": 3.2911467334266146e-06
33
  },
34
  "efficiency": null
35
  },
36
  "forward": {
37
  "memory": {
38
  "unit": "MB",
39
+ "max_ram": 1274.7776,
40
  "max_global_vram": 1442.316288,
41
  "max_process_vram": 0.0,
42
  "max_reserved": 794.820608,
 
44
  },
45
  "latency": {
46
  "unit": "s",
 
 
 
 
 
 
 
 
47
  "values": [
48
+ 0.013830143928527832,
49
+ 0.013926400184631347,
50
+ 0.013728768348693847,
51
+ 0.013785087585449218,
52
+ 0.01406771183013916,
53
+ 0.014516223907470703,
54
+ 0.014513152122497559,
55
+ 0.014057472229003906,
56
+ 0.014647295951843262,
57
+ 0.01459609603881836,
58
+ 0.014503935813903808,
59
+ 0.014706751823425294,
60
+ 0.014503840446472169,
61
+ 0.014708736419677734,
62
+ 0.014477312088012695,
63
+ 0.013808639526367187,
64
+ 0.013944767951965331,
65
+ 0.013634559631347656,
66
+ 0.013702143669128418,
67
+ 0.01387007999420166,
68
+ 0.014767040252685546,
69
+ 0.014751744270324708,
70
+ 0.014869503974914551,
71
+ 0.01470361614227295,
72
+ 0.014621696472167968,
73
+ 0.014539775848388671,
74
+ 0.014489439964294434,
75
+ 0.014377984046936035,
76
+ 0.014286911964416504,
77
+ 0.014518272399902344,
78
+ 0.0143985595703125,
79
+ 0.014219264030456542,
80
+ 0.014428159713745118,
81
+ 0.014729215621948242,
82
+ 0.014603263854980468,
83
+ 0.014369791984558105,
84
+ 0.014301183700561524,
85
+ 0.014297087669372559,
86
+ 0.014213120460510254,
87
+ 0.014705663681030273,
88
+ 0.014097408294677734,
89
+ 0.014042112350463867,
90
+ 0.01396224021911621,
91
+ 0.014092288017272948,
92
+ 0.013948063850402832,
93
+ 0.01390886402130127,
94
+ 0.014029824256896972,
95
+ 0.014013440132141113,
96
+ 0.013985919952392577,
97
+ 0.014018431663513183,
98
+ 0.014021632194519042,
99
+ 0.014089216232299804,
100
+ 0.013982784271240235,
101
+ 0.013993984222412109,
102
+ 0.013941760063171387,
103
+ 0.013929471969604493,
104
+ 0.014034943580627441,
105
+ 0.014089216232299804,
106
+ 0.01396735954284668,
107
+ 0.013974528312683105,
108
+ 0.013776896476745605,
109
+ 0.013898752212524413,
110
+ 0.013906944274902343,
111
+ 0.014023679733276367,
112
+ 0.013899776458740234,
113
+ 0.014162943840026856,
114
+ 0.01395199966430664,
115
+ 0.013932543754577637,
116
+ 0.01399292755126953,
117
+ 0.013982720375061035,
118
+ 0.013876128196716308
119
+ ],
120
+ "count": 71,
121
+ "total": 1.007249217033386,
122
+ "mean": 0.01418660869061107,
123
+ "p50": 0.014057472229003906,
124
+ "p90": 0.01470361614227295,
125
+ "p95": 0.014718976020812988,
126
+ "p99": 0.014797779369354247,
127
+ "stdev": 0.00031758175118996076,
128
+ "stdev_": 2.238602319384065
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
+ "value": 70.4890098689912
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
+ "cpu": 1.586923363547949e-07,
137
+ "ram": 8.671938644925233e-08,
138
+ "gpu": 3.3977804960135433e-07,
139
+ "total": 5.851897724054015e-07
140
  },
141
  "efficiency": {
142
  "unit": "samples/kWh",
143
+ "value": 1708847.3639748283
144
  }
145
  }
146
  }