Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
59a9cca
·
verified ·
1 Parent(s): 2e66bad

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 +86 -89
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": 982.4256,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,105 +10,102 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 74,
14
- "total": 1.0044415998458864,
15
- "mean": 0.013573535133052516,
16
- "stdev": 0.0008817712436058069,
17
- "p50": 0.013554687976837159,
18
- "p90": 0.01381642246246338,
19
- "p95": 0.01406679058074951,
20
- "p99": 0.0173749963569641,
21
  "values": [
22
- 0.019805183410644533,
23
- 0.016476160049438478,
24
- 0.014964735984802247,
25
- 0.013831168174743653,
26
- 0.0136878080368042,
27
- 0.013709312438964843,
28
- 0.01368166446685791,
29
- 0.013447168350219727,
30
- 0.013447168350219727,
31
- 0.013296607971191407,
32
- 0.01339084815979004,
33
- 0.01349120044708252,
34
- 0.013650943756103515,
35
- 0.013579263687133789,
36
- 0.013727744102478028,
37
- 0.013596672058105469,
38
- 0.013570048332214356,
39
- 0.013727744102478028,
40
- 0.013956095695495606,
41
- 0.013771776199340821,
42
- 0.013439999580383302,
43
- 0.013323264122009277,
44
- 0.013598719596862792,
45
- 0.013616127967834473,
46
- 0.013622271537780761,
47
- 0.013600768089294434,
48
- 0.01365401554107666,
49
- 0.01335807991027832,
50
- 0.013145088195800781,
51
- 0.013252608299255371,
52
- 0.013682687759399414,
53
- 0.013584383964538574,
54
- 0.01328326416015625,
55
- 0.013064191818237305,
56
- 0.013393983840942383,
57
- 0.013632512092590332,
58
- 0.01396735954284668,
59
- 0.01397862434387207,
60
- 0.014230527877807618,
61
- 0.013782015800476074,
62
- 0.013634559631347656,
63
- 0.013652992248535157,
64
- 0.013571071624755859,
65
- 0.013560832023620606,
66
- 0.01354854393005371,
67
- 0.01350864028930664,
68
- 0.013595647811889648,
69
- 0.013639679908752441,
70
- 0.013758463859558106,
71
- 0.01365503978729248,
72
- 0.013578240394592284,
73
- 0.013560832023620606,
74
- 0.0133887996673584,
75
- 0.013275135993957519,
76
- 0.013034496307373047,
77
- 0.013025279998779296,
78
- 0.012990464210510254,
79
- 0.013029376029968261,
80
- 0.013082624435424805,
81
- 0.013040639877319337,
82
- 0.012998720169067383,
83
- 0.013036543846130372,
84
- 0.013048831939697265,
85
- 0.012980223655700684,
86
- 0.012993535995483398,
87
- 0.013023232460021973,
88
- 0.013027327537536621,
89
- 0.01296281623840332,
90
- 0.013010944366455078,
91
- 0.013028287887573242,
92
- 0.013110272407531738,
93
- 0.01306726360321045,
94
- 0.013012991905212403,
95
- 0.012989439964294434
96
  ]
97
  },
98
  "throughput": {
99
  "unit": "samples/s",
100
- "value": 73.67277501385246
101
  },
102
  "energy": {
103
  "unit": "kWh",
104
- "cpu": 1.603169349936752e-07,
105
- "ram": 8.764534477772694e-08,
106
- "gpu": 3.399026743242781e-07,
107
- "total": 5.878649540956803e-07
108
  },
109
  "efficiency": {
110
  "unit": "samples/kWh",
111
- "value": 1701070.9569144363
112
  }
113
  }
114
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 982.474752,
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": 1.0058228139877323,
15
+ "mean": 0.014166518506869466,
16
+ "stdev": 0.0004659233586016609,
17
+ "p50": 0.014097408294677734,
18
+ "p90": 0.014696512222290039,
19
+ "p95": 0.015152128219604492,
20
+ "p99": 0.015635536003112793,
21
  "values": [
22
+ 0.014941184043884278,
23
+ 0.015498208045959474,
24
+ 0.015251456260681152,
25
+ 0.015345600128173828,
26
+ 0.01468825626373291,
27
+ 0.014220288276672363,
28
+ 0.014106623649597168,
29
+ 0.014131199836730958,
30
+ 0.014430208206176758,
31
+ 0.014393343925476074,
32
+ 0.013562879562377929,
33
+ 0.013674495697021484,
34
+ 0.013785087585449218,
35
+ 0.013562879562377929,
36
+ 0.013940735816955567,
37
+ 0.014224384307861328,
38
+ 0.014178272247314452,
39
+ 0.014337023735046387,
40
+ 0.014751744270324708,
41
+ 0.014223360061645507,
42
+ 0.014330880165100097,
43
+ 0.014474240303039551,
44
+ 0.01447321605682373,
45
+ 0.01429196834564209,
46
+ 0.014557184219360352,
47
+ 0.014235648155212402,
48
+ 0.014268351554870605,
49
+ 0.014153727531433105,
50
+ 0.014637056350708008,
51
+ 0.014201855659484864,
52
+ 0.014017536163330077,
53
+ 0.014171135902404786,
54
+ 0.014696512222290039,
55
+ 0.01451417636871338,
56
+ 0.014333951950073242,
57
+ 0.013565952301025391,
58
+ 0.01367852783203125,
59
+ 0.01425100803375244,
60
+ 0.014097408294677734,
61
+ 0.014038016319274902,
62
+ 0.013884415626525879,
63
+ 0.01377791976928711,
64
+ 0.015955967903137205,
65
+ 0.015052800178527831,
66
+ 0.014414848327636719,
67
+ 0.014150655746459961,
68
+ 0.013888544082641601,
69
+ 0.013890560150146485,
70
+ 0.013894656181335448,
71
+ 0.013834239959716797,
72
+ 0.013884415626525879,
73
+ 0.013889535903930664,
74
+ 0.013850624084472657,
75
+ 0.013884415626525879,
76
+ 0.014098431587219238,
77
+ 0.013834239959716797,
78
+ 0.013828096389770507,
79
+ 0.013808639526367187,
80
+ 0.013730815887451172,
81
+ 0.013837311744689941,
82
+ 0.013775872230529786,
83
+ 0.013855744361877441,
84
+ 0.013808639526367187,
85
+ 0.013820927619934082,
86
+ 0.013888511657714844,
87
+ 0.013841407775878906,
88
+ 0.01380352020263672,
89
+ 0.013825023651123047,
90
+ 0.013888511657714844,
91
+ 0.013816831588745117,
92
+ 0.01387110424041748
 
 
 
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
+ "value": 70.58897353750616
98
  },
99
  "energy": {
100
  "unit": "kWh",
101
+ "cpu": 1.5463291265575745e-07,
102
+ "ram": 8.44605713322377e-08,
103
+ "gpu": 3.326193137142871e-07,
104
+ "total": 5.717127977022822e-07
105
  },
106
  "efficiency": {
107
  "unit": "samples/kWh",
108
+ "value": 1749129.9897763475
109
  }
110
  }
111
  }