IlyasMoutawwakil HF staff commited on
Commit
a5996c1
·
verified ·
1 Parent(s): 36c36a3

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": 976.224256,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,102 +10,101 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 71,
14
- "total": 1.001165760040283,
15
- "mean": 0.014100926197750469,
16
- "stdev": 0.000267251572196526,
17
- "p50": 0.014013440132141113,
18
- "p90": 0.01439948844909668,
19
- "p95": 0.014635488033294678,
20
- "p99": 0.01502689266204834,
21
  "values": [
22
- 0.014916607856750488,
23
- 0.01518387222290039,
24
- 0.01495961570739746,
25
- 0.014659520149230956,
26
- 0.014053376197814941,
27
- 0.013930496215820312,
28
- 0.013848575592041015,
29
- 0.014267359733581543,
30
- 0.013974528312683105,
31
- 0.014062591552734375,
32
- 0.014181376457214356,
33
- 0.014131168365478515,
34
- 0.01395199966430664,
35
- 0.01396735954284668,
36
- 0.013813759803771973,
37
- 0.013964287757873535,
38
- 0.013919232368469238,
39
- 0.014219264030456542,
40
- 0.014170111656188965,
41
- 0.013969408035278321,
42
- 0.0140830717086792,
43
- 0.013917183876037598,
44
- 0.01397043228149414,
45
- 0.014099488258361817,
46
- 0.014004223823547364,
47
- 0.013883392333984374,
48
- 0.0140830717086792,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
49
  0.01426636791229248,
50
- 0.014097408294677734,
51
- 0.013918208122253419,
52
- 0.014027775764465332,
53
- 0.013814784049987794,
54
- 0.013974528312683105,
55
- 0.013682687759399414,
56
- 0.013612031936645508,
57
- 0.013897727966308594,
58
- 0.014492735862731934,
59
- 0.014599167823791503,
60
- 0.01439948844909668,
61
- 0.014337023735046387,
62
- 0.014611455917358398,
63
- 0.01420691204071045,
64
- 0.014005248069763183,
65
- 0.014009344100952148,
66
- 0.013970368385314942,
67
- 0.014000063896179199,
68
- 0.013976608276367188,
69
- 0.014021632194519042,
70
- 0.013973504066467286,
71
- 0.014011391639709473,
72
- 0.014137344360351562,
73
- 0.014309375762939454,
74
- 0.014163968086242675,
75
- 0.014029824256896972,
76
- 0.01397760009765625,
77
- 0.014000127792358399,
78
- 0.014062591552734375,
79
- 0.01408614444732666,
80
- 0.014045184135437011,
81
- 0.014013440132141113,
82
- 0.014045184135437011,
83
- 0.013997119903564453,
84
- 0.014011391639709473,
85
- 0.013993984222412109,
86
- 0.014017536163330077,
87
- 0.014003199577331543,
88
- 0.014013440132141113,
89
- 0.013990912437438965,
90
- 0.014178367614746093,
91
- 0.01397555160522461,
92
- 0.014021632194519042
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
- "value": 70.9173274135376
98
  },
99
  "energy": {
100
  "unit": "kWh",
101
- "cpu": 1.6926591151943416e-07,
102
- "ram": 9.238919925099359e-08,
103
- "gpu": 3.5110356726760633e-07,
104
- "total": 6.127586780380341e-07
105
  },
106
  "efficiency": {
107
  "unit": "samples/kWh",
108
- "value": 1631963.8315068134
109
  }
110
  }
111
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 976.34304,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 70,
14
+ "total": 1.0102527704238893,
15
+ "mean": 0.014432182434626989,
16
+ "stdev": 0.0008683820003625622,
17
+ "p50": 0.014217728137969971,
18
+ "p90": 0.014784483242034912,
19
+ "p95": 0.01512724471092224,
20
+ "p99": 0.01820702688217164,
21
  "values": [
22
+ 0.020771839141845702,
23
+ 0.017054719924926756,
24
+ 0.014927871704101562,
25
+ 0.014776288032531738,
26
+ 0.014513216018676757,
27
+ 0.014129152297973633,
28
+ 0.014304256439208985,
29
+ 0.01529036808013916,
30
+ 0.014493696212768555,
31
+ 0.015335424423217774,
32
+ 0.014858240127563477,
33
+ 0.014622783660888672,
34
+ 0.014568448066711426,
35
+ 0.01430835247039795,
36
+ 0.014183423995971679,
37
+ 0.014898176193237305,
38
+ 0.013733887672424316,
39
+ 0.014010368347167968,
40
+ 0.014233599662780762,
41
+ 0.014350336074829101,
42
+ 0.014224384307861328,
43
+ 0.014247936248779297,
44
+ 0.014193696022033691,
45
+ 0.014325759887695312,
46
+ 0.014243840217590332,
47
+ 0.014220288276672363,
48
+ 0.014243840217590332,
49
+ 0.014270463943481445,
50
+ 0.014206975936889648,
51
+ 0.01418239974975586,
52
+ 0.014322688102722168,
53
+ 0.014191616058349609,
54
+ 0.014194687843322755,
55
+ 0.014279680252075195,
56
+ 0.014237695693969727,
57
+ 0.014215167999267577,
58
+ 0.01411683177947998,
59
+ 0.014202879905700684,
60
+ 0.014234623908996581,
61
+ 0.014394368171691894,
62
+ 0.014310400009155273,
63
  0.01426636791229248,
64
+ 0.014276608467102051,
65
+ 0.014172160148620605,
66
+ 0.014187520027160644,
67
+ 0.014205951690673829,
68
+ 0.01418233585357666,
69
+ 0.014194720268249512,
70
+ 0.014212096214294433,
71
+ 0.014181376457214356,
72
+ 0.01417420768737793,
73
+ 0.014231552124023437,
74
+ 0.014155776023864745,
75
+ 0.014311424255371094,
76
+ 0.014154751777648926,
77
+ 0.014186495780944825,
78
+ 0.014186495780944825,
79
+ 0.014166015625,
80
+ 0.0141844482421875,
81
+ 0.014193663597106934,
82
+ 0.014211071968078613,
83
+ 0.014272512435913086,
84
+ 0.0141844482421875,
85
+ 0.01417728042602539,
86
+ 0.014252032279968262,
87
+ 0.014141440391540527,
88
+ 0.014203904151916504,
89
+ 0.014146559715270996,
90
+ 0.014206879615783692,
91
+ 0.014208000183105468
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
92
  ]
93
  },
94
  "throughput": {
95
  "unit": "samples/s",
96
+ "value": 69.28958974359347
97
  },
98
  "energy": {
99
  "unit": "kWh",
100
+ "cpu": 1.6740216802170205e-07,
101
+ "ram": 9.151575718035709e-08,
102
+ "gpu": 3.5668651383098745e-07,
103
+ "total": 6.156044390330466e-07
104
  },
105
  "efficiency": {
106
  "unit": "samples/kWh",
107
+ "value": 1624419.7354566485
108
  }
109
  }
110
  }