Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
0fac299
·
verified ·
1 Parent(s): 376c2e9

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 +84 -85
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": 975.536128,
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": 1.0081064615249633,
15
- "mean": 0.014198682556689627,
16
- "stdev": 0.0005068508079613693,
17
- "p50": 0.014232576370239258,
18
- "p90": 0.014790656089782715,
19
- "p95": 0.015072256088256835,
20
- "p99": 0.015660134506225585,
21
  "values": [
22
- 0.015837183952331545,
23
- 0.015584256172180176,
24
- 0.015238143920898438,
25
- 0.014712832450866698,
26
- 0.014153727531433105,
27
- 0.014154751777648926,
28
- 0.014261247634887696,
29
- 0.014422016143798828,
30
- 0.014307295799255371,
31
- 0.014298111915588378,
32
- 0.014348287582397461,
33
- 0.0142807035446167,
34
- 0.014226431846618653,
35
- 0.01419264030456543,
36
- 0.014170111656188965,
37
- 0.014221343994140625,
38
- 0.01425920009613037,
39
- 0.014794783592224121,
40
- 0.01511526393890381,
41
- 0.014381055831909179,
42
- 0.014232576370239258,
43
- 0.014234623908996581,
44
- 0.014407679557800293,
45
- 0.014252032279968262,
46
- 0.014178272247314452,
47
- 0.014232576370239258,
48
- 0.014364671707153321,
49
- 0.014569472312927247,
50
- 0.014782464027404785,
51
- 0.015029248237609863,
52
- 0.014739456176757813,
53
- 0.014130175590515137,
54
- 0.014137344360351562,
55
  0.01396735954284668,
56
- 0.0142673921585083,
57
- 0.01467903995513916,
58
- 0.0148602876663208,
59
- 0.014790656089782715,
60
- 0.014523391723632812,
61
- 0.014568448066711426,
62
- 0.014393343925476074,
63
- 0.01427353572845459,
64
- 0.014315520286560059,
65
- 0.014294015884399413,
66
- 0.013766624450683594,
67
- 0.013677568435668945,
68
- 0.013612031936645508,
69
- 0.013603839874267578,
70
- 0.013591551780700683,
71
- 0.013608960151672364,
72
- 0.013609984397888183,
73
- 0.013599743843078613,
74
- 0.013558783531188966,
75
- 0.013619199752807617,
76
- 0.013562879562377929,
77
- 0.01359769630432129,
78
- 0.01364684772491455,
79
- 0.013733887672424316,
80
- 0.013713408470153808,
81
- 0.013598719596862792,
82
- 0.013661184310913087,
83
- 0.013631487846374512,
84
- 0.013576191902160644,
85
- 0.013645824432373046,
86
- 0.01355673599243164,
87
- 0.013611007690429687,
88
- 0.013553664207458497,
89
- 0.014756863594055175,
90
- 0.014309375762939454,
91
- 0.014287872314453125,
92
- 0.014231552124023437
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
- "value": 70.42906945819813
98
  },
99
  "energy": {
100
  "unit": "kWh",
101
- "cpu": 1.6723475499145676e-07,
102
- "ram": 9.13535853330141e-08,
103
- "gpu": 3.641747827323887e-07,
104
- "total": 6.227631230568596e-07
105
  },
106
  "efficiency": {
107
  "unit": "samples/kWh",
108
- "value": 1605746.973410142
109
  }
110
  }
111
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.716352,
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": 0.9995849256515507,
15
+ "mean": 0.014279784652165005,
16
+ "stdev": 0.0003427474074356825,
17
+ "p50": 0.014211584091186523,
18
+ "p90": 0.01476638708114624,
19
+ "p95": 0.014904510402679443,
20
+ "p99": 0.014988236980438233,
21
  "values": [
22
+ 0.014879712104797363,
23
+ 0.014842880249023438,
24
+ 0.014755935668945312,
25
+ 0.014850048065185547,
26
+ 0.014171135902404786,
27
+ 0.013964287757873535,
28
+ 0.014027775764465332,
29
+ 0.013940735816955567,
30
+ 0.014410752296447754,
31
+ 0.014499839782714843,
32
+ 0.014053376197814941,
33
+ 0.013979647636413574,
34
+ 0.013922304153442382,
35
+ 0.013906944274902343,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
36
  0.01396735954284668,
37
+ 0.014221311569213867,
38
+ 0.014520319938659668,
39
+ 0.014575615882873535,
40
+ 0.014973952293395995,
41
+ 0.014400511741638184,
42
+ 0.013952159881591797,
43
+ 0.014035072326660156,
44
+ 0.014115839958190919,
45
+ 0.014444543838500976,
46
+ 0.014616576194763184,
47
+ 0.014757887840270996,
48
+ 0.01466982364654541,
49
+ 0.014503935813903808,
50
+ 0.014529696464538574,
51
+ 0.01447116756439209,
52
+ 0.014598143577575684,
53
+ 0.01397555160522461,
54
+ 0.013925375938415528,
55
+ 0.014618623733520507,
56
+ 0.01467084789276123,
57
+ 0.01448140811920166,
58
+ 0.014569472312927247,
59
+ 0.014924799919128418,
60
+ 0.014369791984558105,
61
+ 0.014347295761108398,
62
+ 0.014313376426696778,
63
+ 0.014220288276672363,
64
+ 0.014478336334228516,
65
+ 0.014524383544921875,
66
+ 0.014963711738586426,
67
+ 0.015020031929016114,
68
+ 0.014154751777648926,
69
+ 0.01418943977355957,
70
+ 0.014354432106018066,
71
+ 0.014154751777648926,
72
+ 0.014267264366149902,
73
+ 0.014025728225708007,
74
+ 0.014110719680786133,
75
+ 0.014129119873046875,
76
+ 0.014379008293151856,
77
+ 0.014202879905700684,
78
+ 0.014017536163330077,
79
+ 0.01397152042388916,
80
+ 0.013832223892211915,
81
+ 0.014138367652893067,
82
+ 0.013792256355285644,
83
+ 0.01376460838317871,
84
+ 0.013728768348693847,
85
+ 0.01386188793182373,
86
+ 0.013935615539550781,
87
+ 0.014032896041870118,
88
+ 0.014019552230834962,
89
+ 0.013891551971435547,
90
+ 0.013945856094360352,
91
+ 0.013721599578857421
92
  ]
93
  },
94
  "throughput": {
95
  "unit": "samples/s",
96
+ "value": 70.02906726946941
97
  },
98
  "energy": {
99
  "unit": "kWh",
100
+ "cpu": 1.670953691189672e-07,
101
+ "ram": 9.112273394293878e-08,
102
+ "gpu": 3.571260573055578e-07,
103
+ "total": 6.153441603674637e-07
104
  },
105
  "efficiency": {
106
  "unit": "samples/kWh",
107
+ "value": 1625106.8335528402
108
  }
109
  }
110
  }