IlyasMoutawwakil HF staff commited on
Commit
da0567f
·
verified ·
1 Parent(s): c8f3fe7

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 975.568896,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -11,100 +11,100 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 70,
14
- "total": 1.009557504653931,
15
- "mean": 0.014422250066484723,
16
- "stdev": 0.0004920251274069271,
17
- "p50": 0.014230527877807618,
18
- "p90": 0.014923571586608887,
19
- "p95": 0.015304857397079468,
20
- "p99": 0.016073792572021486,
21
  "values": [
22
- 0.015762432098388672,
23
- 0.016315391540527344,
24
- 0.015965248107910158,
25
- 0.015320063591003418,
26
- 0.014738431930541992,
27
- 0.014839808464050292,
28
- 0.014644224166870118,
29
- 0.014640128135681153,
30
- 0.014777312278747559,
31
- 0.014872575759887695,
32
- 0.014724096298217774,
33
- 0.014078975677490235,
34
- 0.014147583961486816,
35
- 0.014136320114135742,
36
- 0.014079999923706055,
37
- 0.014073856353759765,
38
- 0.013982720375061035,
39
- 0.014005248069763183,
40
- 0.014011391639709473,
41
- 0.014023679733276367,
42
- 0.014255104064941406,
43
- 0.014311424255371094,
44
- 0.014206975936889648,
45
- 0.014056447982788087,
46
- 0.014193663597106934,
47
- 0.01429094409942627,
48
- 0.013938688278198242,
49
- 0.014042112350463867,
50
- 0.014204928398132324,
51
- 0.013959168434143066,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
52
  0.013937664031982423,
53
- 0.014014464378356933,
54
- 0.01458073616027832,
55
- 0.015286272048950195,
56
- 0.015141887664794922,
57
- 0.014883839607238769,
58
- 0.014682111740112304,
59
- 0.014181376457214356,
60
- 0.013913087844848633,
61
- 0.01396019172668457,
62
- 0.01375334358215332,
63
- 0.01389363193511963,
64
- 0.014745599746704101,
65
- 0.014753791809082031,
66
- 0.014922752380371093,
67
- 0.014610431671142577,
68
- 0.014212096214294433,
69
- 0.014252032279968262,
70
- 0.014146559715270996,
71
- 0.014161919593811035,
72
- 0.01435750389099121,
73
- 0.014135295867919923,
74
- 0.014196736335754395,
75
- 0.014144512176513671,
76
- 0.014301183700561524,
77
- 0.0148602876663208,
78
- 0.01475279998779297,
79
- 0.014120960235595703,
80
- 0.014873600006103516,
81
- 0.014930944442749023,
82
- 0.014249983787536622,
83
- 0.014229503631591797,
84
- 0.014307328224182129,
85
- 0.014208000183105468,
86
- 0.014289919853210448,
87
- 0.014231552124023437,
88
- 0.01416806411743164,
89
- 0.014262271881103515,
90
- 0.014105600357055664,
91
- 0.01419871997833252
92
  ]
93
  },
94
  "throughput": {
95
  "unit": "samples/s",
96
- "value": 69.33730835272777
97
  },
98
  "energy": {
99
  "unit": "kWh",
100
- "cpu": 1.6915546286673776e-07,
101
- "ram": 9.247016453238237e-08,
102
- "gpu": 3.541947278000099e-07,
103
- "total": 6.1582035519913e-07
104
  },
105
  "efficiency": {
106
  "unit": "samples/kWh",
107
- "value": 1623850.1887074565
108
  }
109
  }
110
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.54432,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 70,
14
+ "total": 1.002221823692322,
15
+ "mean": 0.014317454624176024,
16
+ "stdev": 0.0005179854292391007,
17
+ "p50": 0.014136191844940187,
18
+ "p90": 0.014872780895233155,
19
+ "p95": 0.015156429052352906,
20
+ "p99": 0.015988807916641236,
21
  "values": [
22
+ 0.015131648063659669,
23
+ 0.016269311904907227,
24
+ 0.01586278438568115,
25
+ 0.014862336158752442,
26
+ 0.014535552024841308,
27
+ 0.014609312057495117,
28
+ 0.01455513572692871,
29
+ 0.014568448066711426,
30
+ 0.014729215621948242,
31
+ 0.01496678352355957,
32
+ 0.014606335639953612,
33
+ 0.014484479904174804,
34
+ 0.014614527702331542,
35
+ 0.013914079666137695,
36
+ 0.01385971164703369,
37
+ 0.013853695869445801,
38
+ 0.013822976112365723,
39
+ 0.0141146879196167,
40
+ 0.013762432098388672,
41
+ 0.013876223564147949,
42
+ 0.013703264236450196,
43
+ 0.013898752212524413,
44
+ 0.013859840393066406,
45
+ 0.014038016319274902,
46
+ 0.013897727966308594,
47
+ 0.013850624084472657,
48
+ 0.014021632194519042,
49
+ 0.013942784309387207,
50
+ 0.013697024345397948,
51
+ 0.013749247550964355,
52
+ 0.013845503807067871,
53
+ 0.013839424133300781,
54
+ 0.014382080078125,
55
+ 0.014501888275146485,
56
+ 0.014530559539794922,
57
+ 0.01475164794921875,
58
+ 0.015004672050476075,
59
+ 0.014751744270324708,
60
+ 0.014507007598876954,
61
+ 0.01459712028503418,
62
+ 0.014449664115905762,
63
+ 0.0144650239944458,
64
+ 0.014771200180053711,
65
+ 0.015176704406738281,
66
+ 0.014560256004333496,
67
+ 0.014387200355529785,
68
+ 0.01437484836578369,
69
+ 0.014741503715515136,
70
+ 0.014317567825317384,
71
+ 0.015812607765197755,
72
+ 0.014359552383422852,
73
+ 0.014031744003295899,
74
+ 0.014008319854736329,
75
+ 0.014081024169921874,
76
+ 0.013979647636413574,
77
+ 0.01409552001953125,
78
+ 0.014419903755187988,
79
+ 0.0140697603225708,
80
+ 0.014157695770263672,
81
+ 0.014027775764465332,
82
+ 0.014071807861328126,
83
  0.013937664031982423,
84
+ 0.014016511917114258,
85
+ 0.013731840133666993,
86
+ 0.01387827205657959,
87
+ 0.013939840316772461,
88
+ 0.014280735969543457,
89
+ 0.013897600173950196,
90
+ 0.013896703720092773,
91
+ 0.013913087844848633
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
92
  ]
93
  },
94
  "throughput": {
95
  "unit": "samples/s",
96
+ "value": 69.84481713051355
97
  },
98
  "energy": {
99
  "unit": "kWh",
100
+ "cpu": 1.6464468324202565e-07,
101
+ "ram": 8.960731809889843e-08,
102
+ "gpu": 3.7328416468492946e-07,
103
+ "total": 6.275361660258535e-07
104
  },
105
  "efficiency": {
106
  "unit": "samples/kWh",
107
+ "value": 1593533.6545349031
108
  }
109
  }
110
  }