Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Files
xet
Community
IlyasMoutawwakil HF Staff commited on
Commit
822a851
·
verified ·
1 Parent(s): fd49b4d

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 +85 -86
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": 959.885312,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,103 +10,102 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 72,
14
- "total": 1.0025584964752199,
15
- "mean": 0.013924423562155829,
16
- "stdev": 0.00048675710230325304,
17
- "p50": 0.01393612813949585,
18
- "p90": 0.014347980403900147,
19
- "p95": 0.014643711805343629,
20
- "p99": 0.015418695716857918,
21
  "values": [
22
- 0.01416806411743164,
23
- 0.014784511566162109,
24
- 0.014528512001037597,
25
- 0.015007712364196778,
26
- 0.014243840217590332,
27
- 0.014041152000427246,
28
- 0.01415167999267578,
29
- 0.013958144187927245,
30
- 0.014018560409545898,
31
- 0.013723648071289063,
32
- 0.014250975608825683,
33
- 0.014004223823547364,
34
- 0.014238816261291504,
35
- 0.014345215797424317,
36
- 0.013989888191223144,
37
- 0.014053376197814941,
38
- 0.014063648223876953,
39
- 0.014000127792358399,
40
- 0.013897727966308594,
41
- 0.013801471710205078,
42
- 0.014261247634887696,
43
- 0.014424063682556153,
44
- 0.014286848068237304,
45
- 0.0140697603225708,
46
- 0.01423971176147461,
47
- 0.014016511917114258,
48
- 0.013916159629821777,
49
- 0.014004223823547364,
50
- 0.014132224082946777,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
51
  0.013883392333984374,
52
- 0.013894656181335448,
53
- 0.013944831848144532,
54
- 0.01408614444732666,
55
- 0.014446592330932618,
56
- 0.014348287582397461,
57
- 0.014152704238891601,
58
- 0.014036992073059081,
59
- 0.013924351692199707,
60
- 0.014114815711975098,
61
- 0.013927424430847168,
62
- 0.014320575714111328,
63
- 0.016151552200317384,
64
- 0.015119359970092774,
65
- 0.014119935989379882,
66
- 0.013737983703613281,
67
- 0.013697024345397948,
68
- 0.013517824172973633,
69
- 0.01355059242248535,
70
- 0.013536255836486816,
71
- 0.013575167655944824,
72
- 0.013433856010437012,
73
- 0.013421567916870117,
74
- 0.013439999580383302,
75
- 0.013533184051513672,
76
- 0.013427712440490723,
77
- 0.013421567916870117,
78
- 0.013828096389770507,
79
- 0.013633536338806153,
80
- 0.013431808471679688,
81
- 0.013399040222167969,
82
- 0.013709312438964843,
83
- 0.013415424346923829,
84
- 0.013543423652648925,
85
- 0.013690879821777344,
86
- 0.013325311660766602,
87
- 0.01325055980682373,
88
- 0.013207551956176757,
89
- 0.013238271713256837,
90
- 0.013398015975952148,
91
- 0.013467647552490235,
92
- 0.013437952041625977,
93
- 0.013195263862609862
94
  ]
95
  },
96
  "throughput": {
97
  "unit": "samples/s",
98
- "value": 71.81625835613237
99
  },
100
  "energy": {
101
  "unit": "kWh",
102
- "cpu": 1.5815010335710316e-07,
103
- "ram": 8.645012903434691e-08,
104
- "gpu": 3.2874100373332195e-07,
105
- "total": 5.73341236124772e-07
106
  },
107
  "efficiency": {
108
  "unit": "samples/kWh",
109
- "value": 1744162.0050897181
110
  }
111
  }
112
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 959.524864,
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": 71,
14
+ "total": 1.0067025604248048,
15
+ "mean": 0.014178909301757813,
16
+ "stdev": 0.00047087219810710613,
17
+ "p50": 0.014135295867919923,
18
+ "p90": 0.014680064201354981,
19
+ "p95": 0.014971392154693603,
20
+ "p99": 0.015605513763427732,
21
  "values": [
22
+ 0.015223808288574218,
23
+ 0.015846336364746094,
24
+ 0.015502304077148437,
25
+ 0.015351807594299317,
26
+ 0.014718976020812988,
27
+ 0.014408703804016113,
28
+ 0.013524031639099121,
29
+ 0.013549568176269532,
30
+ 0.01358950424194336,
31
+ 0.013675519943237305,
32
+ 0.01364684772491455,
33
+ 0.013617152214050294,
34
+ 0.013763584136962891,
35
+ 0.013934592247009277,
36
+ 0.013911040306091308,
37
+ 0.014451711654663087,
38
+ 0.01435142421722412,
39
+ 0.014237759590148925,
40
+ 0.014254079818725587,
41
+ 0.014326784133911133,
42
+ 0.014495776176452637,
43
+ 0.014680064201354981,
44
+ 0.014665727615356445,
45
+ 0.014452735900878906,
46
+ 0.01447116756439209,
47
+ 0.014387200355529785,
48
+ 0.014425087928771972,
49
+ 0.014427136421203614,
50
+ 0.014561280250549317,
51
+ 0.014337023735046387,
52
+ 0.014312447547912598,
53
+ 0.014306303977966308,
54
+ 0.014476287841796874,
55
+ 0.01395199966430664,
56
+ 0.013934528350830078,
57
+ 0.014520319938659668,
58
+ 0.014698495864868164,
59
+ 0.014575615882873535,
60
+ 0.014436351776123046,
61
+ 0.014706687927246094,
62
+ 0.014144512176513671,
63
+ 0.01420083236694336,
64
+ 0.014492671966552734,
65
+ 0.014668800354003907,
66
+ 0.014135295867919923,
67
+ 0.01395404815673828,
68
+ 0.013859840393066406,
69
+ 0.013838303565979005,
70
+ 0.013875200271606445,
71
+ 0.013817855834960938,
72
+ 0.014183423995971679,
73
+ 0.014565376281738282,
74
  0.013883392333984374,
75
+ 0.013847552299499511,
76
+ 0.01380352020263672,
77
+ 0.013775872230529786,
78
+ 0.013813759803771973,
79
+ 0.013784064292907714,
80
+ 0.013814784049987794,
81
+ 0.013830143928527832,
82
+ 0.013821951866149903,
83
+ 0.013749183654785157,
84
+ 0.013729791641235351,
85
+ 0.013884415626525879,
86
+ 0.013947936058044433,
87
+ 0.013748224258422852,
88
+ 0.013802495956420899,
89
+ 0.013750240325927735,
90
+ 0.013749247550964355,
91
+ 0.013791232109069825,
92
+ 0.013730815887451172
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
+ "value": 70.5272865999662
98
  },
99
  "energy": {
100
  "unit": "kWh",
101
+ "cpu": 1.5878576702541774e-07,
102
+ "ram": 8.65385656737241e-08,
103
+ "gpu": 3.236780367200006e-07,
104
+ "total": 5.690023694191424e-07
105
  },
106
  "efficiency": {
107
  "unit": "samples/kWh",
108
+ "value": 1757461.925898191
109
  }
110
  }
111
  }