Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
90251a2
·
verified ·
1 Parent(s): 259b9c9

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 -84
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": 975.855616,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -11,102 +11,102 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 72,
14
- "total": 1.0043461122512818,
15
- "mean": 0.013949251559045577,
16
- "stdev": 0.0010099817275190685,
17
- "p50": 0.013857792377471922,
18
- "p90": 0.014010937213897704,
19
- "p95": 0.01457136631011963,
20
- "p99": 0.018982235870361342,
21
  "values": [
22
- 0.02061516761779785,
23
- 0.018315263748168945,
24
- 0.015423487663269043,
25
- 0.01377996826171875,
26
- 0.013422592163085938,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
27
  0.013768704414367675,
28
- 0.013455360412597657,
29
- 0.01340828800201416,
30
- 0.013373408317565918,
31
- 0.01335091209411621,
32
- 0.013345791816711425,
33
- 0.013435903549194337,
34
- 0.013378560066223144,
35
- 0.01333350372314453,
36
- 0.013393919944763183,
37
- 0.013362144470214844,
38
- 0.013414400100708008,
39
- 0.013339648246765137,
40
- 0.013326335906982421,
41
- 0.013337599754333495,
42
- 0.0133918399810791,
43
- 0.013466624259948731,
44
- 0.014792703628540039,
45
  0.014022656440734863,
46
- 0.013950912475585938,
47
- 0.01395404815673828,
48
- 0.013922304153442382,
49
- 0.013925375938415528,
50
- 0.013900799751281738,
51
- 0.01388646411895752,
52
- 0.01387007999420166,
53
- 0.01387929630279541,
54
- 0.013859840393066406,
55
- 0.013845503807067871,
56
- 0.013883328437805176,
57
- 0.013972479820251465,
58
- 0.014011455535888671,
59
- 0.013864895820617677,
60
- 0.01387724781036377,
61
- 0.013855744361877441,
62
- 0.01389568042755127,
63
- 0.013830143928527832,
64
- 0.013848575592041015,
65
- 0.013824000358581542,
66
- 0.013827072143554688,
67
- 0.013848575592041015,
68
- 0.013826016426086427,
69
- 0.01396735954284668,
70
- 0.014006272315979004,
71
- 0.013966336250305175,
72
- 0.013910016059875489,
73
- 0.013925375938415528,
74
- 0.013853695869445801,
75
- 0.013724672317504882,
76
- 0.013692895889282226,
77
- 0.013722623825073242,
78
- 0.01439027214050293,
79
- 0.01396224021911621,
80
- 0.013962207794189453,
81
- 0.013920255661010742,
82
- 0.01387724781036377,
83
- 0.013705216407775878,
84
- 0.013262847900390624,
85
- 0.013410304069519043,
86
- 0.013969408035278321,
87
- 0.013987903594970702,
88
- 0.014277631759643555,
89
- 0.013765631675720215,
90
- 0.013757439613342285,
91
- 0.013868000030517578,
92
- 0.013940735816955567,
93
- 0.013904895782470703
94
  ]
95
  },
96
  "throughput": {
97
  "unit": "samples/s",
98
- "value": 71.68843401863641
99
  },
100
  "energy": {
101
  "unit": "kWh",
102
- "cpu": 1.583939658270942e-07,
103
- "ram": 8.654881973052397e-08,
104
- "gpu": 3.2410396298666413e-07,
105
- "total": 5.690467485442823e-07
106
  },
107
  "efficiency": {
108
  "unit": "samples/kWh",
109
- "value": 1757324.8640083945
110
  }
111
  }
112
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.458304,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 72,
14
+ "total": 1.0044609327316283,
15
+ "mean": 0.013950846287939281,
16
+ "stdev": 0.00041788808758063355,
17
+ "p50": 0.013898240089416505,
18
+ "p90": 0.014516736030578613,
19
+ "p95": 0.014792564821243286,
20
+ "p99": 0.015229194393157959,
21
  "values": [
22
+ 0.015065088272094726,
23
+ 0.015171584129333495,
24
+ 0.014822431564331055,
25
+ 0.014235648155212402,
26
+ 0.013867008209228515,
27
+ 0.013785087585449218,
28
+ 0.013788160324096679,
29
+ 0.013829055786132813,
30
+ 0.013792256355285644,
31
+ 0.014005248069763183,
32
+ 0.01387110424041748,
33
+ 0.013805567741394043,
34
+ 0.01396735954284668,
35
+ 0.013931520462036133,
36
+ 0.014041088104248046,
37
+ 0.013759488105773926,
38
+ 0.01386393642425537,
39
+ 0.013698047637939453,
40
+ 0.013719552040100098,
41
+ 0.013815808296203613,
42
  0.013768704414367675,
43
+ 0.014327808380126953,
44
+ 0.014557184219360352,
45
+ 0.01437388801574707,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
46
  0.014022656440734863,
47
+ 0.013902848243713378,
48
+ 0.013906944274902343,
49
+ 0.01375648021697998,
50
+ 0.013923328399658203,
51
+ 0.013957119941711426,
52
+ 0.013692928314208984,
53
+ 0.01369600009918213,
54
+ 0.013690784454345703,
55
+ 0.013751296043395997,
56
+ 0.014115839958190919,
57
+ 0.014141440391540527,
58
+ 0.013988863945007325,
59
+ 0.013833215713500976,
60
+ 0.013829119682312012,
61
+ 0.01367347240447998,
62
+ 0.013641728401184081,
63
+ 0.013707263946533203,
64
+ 0.013487104415893555,
65
+ 0.013745152473449707,
66
+ 0.014287839889526368,
67
+ 0.01454694366455078,
68
+ 0.015370240211486816,
69
+ 0.01426534366607666,
70
+ 0.014015487670898438,
71
+ 0.01398681640625,
72
+ 0.014015487670898438,
73
+ 0.013946880340576171,
74
+ 0.013913087844848633,
75
+ 0.01389363193511963,
76
+ 0.013916159629821777,
77
+ 0.014162943840026856,
78
+ 0.014768128395080566,
79
+ 0.014532608032226562,
80
+ 0.014000127792358399,
81
+ 0.013932543754577637,
82
+ 0.013912063598632812,
83
+ 0.014014464378356933,
84
+ 0.013857791900634766,
85
+ 0.013826047897338867,
86
+ 0.013888511657714844,
87
+ 0.0138854398727417,
88
+ 0.013260800361633301,
89
+ 0.01318297576904297,
90
+ 0.01324339199066162,
91
+ 0.013201408386230469,
92
+ 0.013136896133422851,
93
+ 0.013170656204223632
 
94
  ]
95
  },
96
  "throughput": {
97
  "unit": "samples/s",
98
+ "value": 71.68023927440984
99
  },
100
  "energy": {
101
  "unit": "kWh",
102
+ "cpu": 1.6210979975021637e-07,
103
+ "ram": 8.86215778508985e-08,
104
+ "gpu": 3.4700478210812006e-07,
105
+ "total": 5.977361597092349e-07
106
  },
107
  "efficiency": {
108
  "unit": "samples/kWh",
109
+ "value": 1672978.9285065904
110
  }
111
  }
112
  }