IlyasMoutawwakil HF staff commited on
Commit
1dab6b2
·
verified ·
1 Parent(s): 4f67276

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": 976.584704,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,103 +10,104 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 72,
14
- "total": 1.0034430694580079,
15
- "mean": 0.013936709298027884,
16
- "stdev": 0.000304540270814966,
17
- "p50": 0.013830080032348632,
18
- "p90": 0.014352793502807616,
19
- "p95": 0.01448596487045288,
20
- "p99": 0.014827571125030518,
21
  "values": [
22
- 0.014457856178283691,
23
- 0.0148602876663208,
24
- 0.014814208030700684,
25
- 0.014771200180053711,
26
- 0.014520319938659668,
27
- 0.014205951690673829,
28
- 0.0140830717086792,
29
- 0.014090239524841308,
30
- 0.013670399665832519,
31
- 0.013530112266540528,
32
- 0.01370019245147705,
33
- 0.01365401554107666,
34
- 0.014047103881835938,
35
- 0.013808639526367187,
36
- 0.01407590389251709,
37
- 0.01400115203857422,
38
- 0.013964320182800293,
39
- 0.014272416114807129,
40
- 0.014381055831909179,
41
- 0.014013407707214355,
42
- 0.013666208267211915,
43
- 0.013516799926757812,
44
- 0.013423616409301758,
45
- 0.013727744102478028,
46
- 0.01378598403930664,
47
- 0.013485055923461914,
48
- 0.013889535903930664,
49
- 0.014347264289855957,
50
- 0.014358528137207031,
51
- 0.014246912002563476,
52
- 0.014154751777648926,
53
- 0.014056447982788087,
54
- 0.013825023651123047,
55
- 0.013985792160034179,
56
- 0.013760512351989745,
57
- 0.013303808212280274,
58
- 0.013816831588745117,
59
- 0.014284799575805664,
60
  0.014353407859802245,
61
- 0.014203904151916504,
62
- 0.01407692813873291,
63
- 0.014041119575500489,
64
- 0.013903871536254882,
65
- 0.014104576110839843,
66
- 0.013799424171447755,
67
- 0.014000255584716797,
68
- 0.013831040382385255,
69
- 0.01376972770690918,
70
- 0.013735936164855958,
71
- 0.01377791976928711,
72
- 0.01386393642425537,
73
- 0.013793279647827148,
74
- 0.013938688278198242,
75
- 0.013905920028686524,
76
- 0.013829119682312012,
77
- 0.01377791976928711,
78
- 0.013737983703613281,
79
- 0.013727775573730469,
80
- 0.013750271797180176,
81
- 0.013698047637939453,
82
  0.013744128227233888,
83
- 0.013756575584411622,
84
- 0.013752320289611816,
85
- 0.013870944023132324,
86
- 0.013745152473449707,
87
- 0.013760640144348144,
88
- 0.013744128227233888,
89
- 0.013775872230529786,
90
- 0.013744128227233888,
91
- 0.013767680168151856,
92
- 0.01375641632080078,
93
- 0.013846559524536133
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
94
  ]
95
  },
96
  "throughput": {
97
  "unit": "samples/s",
98
- "value": 71.75294961067353
99
  },
100
  "energy": {
101
  "unit": "kWh",
102
- "cpu": 1.5990795471050124e-07,
103
- "ram": 8.74269723214373e-08,
104
- "gpu": 3.3605582440000374e-07,
105
- "total": 5.833907514319422e-07
106
  },
107
  "efficiency": {
108
  "unit": "samples/kWh",
109
- "value": 1714116.9919911886
110
  }
111
  }
112
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 976.101376,
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": 73,
14
+ "total": 0.9979040594100952,
15
+ "mean": 0.0136699186220561,
16
+ "stdev": 0.0005464524057608967,
17
+ "p50": 0.013645824432373046,
18
+ "p90": 0.014329446220397949,
19
+ "p95": 0.014507212448120118,
20
+ "p99": 0.0151649076461792,
21
  "values": [
22
+ 0.014483455657958985,
23
+ 0.015059967994689942,
24
+ 0.014542847633361817,
25
+ 0.01434931182861328,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
  0.014353407859802245,
27
+ 0.013663167953491212,
28
+ 0.013631487846374512,
29
+ 0.013766655921936035,
30
+ 0.013785087585449218,
31
+ 0.013682687759399414,
32
+ 0.013818880081176758,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33
  0.013744128227233888,
34
+ 0.013651007652282715,
35
+ 0.014218239784240723,
36
+ 0.013961215972900391,
37
+ 0.014144512176513671,
38
+ 0.014115839958190919,
39
+ 0.014417920112609863,
40
+ 0.014206975936889648,
41
+ 0.013717503547668456,
42
+ 0.013819904327392578,
43
+ 0.014043135643005371,
44
+ 0.014728192329406739,
45
+ 0.015434752464294434,
46
+ 0.014119935989379882,
47
+ 0.014223360061645507,
48
+ 0.01410044765472412,
49
+ 0.014164992332458496,
50
+ 0.01405951976776123,
51
+ 0.013999103546142578,
52
+ 0.014210047721862793,
53
+ 0.01406771183013916,
54
+ 0.013774847984313965,
55
+ 0.013598719596862792,
56
+ 0.013377535820007324,
57
+ 0.01334169578552246,
58
+ 0.014033920288085937,
59
+ 0.014249983787536622,
60
+ 0.014235648155212402,
61
+ 0.013860799789428712,
62
+ 0.013584383964538574,
63
+ 0.013645824432373046,
64
+ 0.013635583877563476,
65
+ 0.013634559631347656,
66
+ 0.013126655578613282,
67
+ 0.013320192337036133,
68
+ 0.013120512008666992,
69
+ 0.013149184226989746,
70
+ 0.013128704071044921,
71
+ 0.013110239982604981,
72
+ 0.013138943672180176,
73
+ 0.013129728317260742,
74
+ 0.013129728317260742,
75
+ 0.01316659164428711,
76
+ 0.013147135734558106,
77
+ 0.013136896133422851,
78
+ 0.013124608039855956,
79
+ 0.01315225601196289,
80
+ 0.013107199668884278,
81
+ 0.013114303588867187,
82
+ 0.013097984313964844,
83
+ 0.013146112442016602,
84
+ 0.013190143585205078,
85
+ 0.013133824348449707,
86
+ 0.013179903984069824,
87
+ 0.013107199668884278,
88
+ 0.013115391731262208,
89
+ 0.013211647987365722,
90
+ 0.013022144317626954,
91
+ 0.013003775596618652,
92
+ 0.013151231765747071,
93
+ 0.013010944366455078,
94
+ 0.012971967697143554
95
  ]
96
  },
97
  "throughput": {
98
  "unit": "samples/s",
99
+ "value": 73.15332502320261
100
  },
101
  "energy": {
102
  "unit": "kWh",
103
+ "cpu": 1.5623979324214215e-07,
104
+ "ram": 8.50517201407046e-08,
105
+ "gpu": 3.323054606493631e-07,
106
+ "total": 5.735969740322098e-07
107
  },
108
  "efficiency": {
109
  "unit": "samples/kWh",
110
+ "value": 1743384.3713824158
111
  }
112
  }
113
  }