IlyasMoutawwakil HF staff commited on
Commit
18db3c3
·
verified ·
1 Parent(s): 8a4a8ea

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": 976.564224,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,104 +10,102 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 73,
14
- "total": 0.9996178541183476,
15
- "mean": 0.013693395261895166,
16
- "stdev": 0.0007549113929564292,
17
- "p50": 0.013345791816711425,
18
- "p90": 0.01502146587371826,
19
- "p95": 0.015442329788208004,
20
- "p99": 0.016295403060913087,
21
  "values": [
22
- 0.015071231842041016,
23
- 0.015310848236083984,
24
- 0.015033344268798828,
25
- 0.01580031967163086,
26
- 0.016675840377807616,
27
- 0.015138815879821778,
28
- 0.014973952293395995,
29
- 0.0161474552154541,
30
- 0.01563955211639404,
31
- 0.013751296043395997,
32
- 0.013321215629577637,
33
- 0.0133570556640625,
34
- 0.013167615890502929,
35
- 0.013322239875793456,
36
- 0.01335910415649414,
37
- 0.013535231590270995,
38
- 0.013378560066223144,
39
- 0.013334527969360351,
40
- 0.013396991729736327,
41
- 0.01406156826019287,
42
- 0.01384447956085205,
43
- 0.01386905574798584,
44
- 0.013784064292907714,
45
- 0.013758463859558106,
46
- 0.01377280044555664,
47
- 0.01344819164276123,
48
- 0.013325311660766602,
49
- 0.013271072387695312,
50
- 0.013255680084228515,
51
- 0.013198335647583008,
52
- 0.013355008125305176,
53
- 0.013322239875793456,
54
- 0.013296640396118165,
55
- 0.013281279563903809,
56
- 0.013120512008666992,
57
- 0.013301759719848634,
58
- 0.013318143844604492,
59
- 0.01345740795135498,
60
- 0.013365247726440429,
61
- 0.013345791816711425,
62
- 0.013318143844604492,
63
- 0.01386291217803955,
64
- 0.014149632453918457,
65
- 0.014183423995971679,
66
- 0.014205951690673829,
67
  0.013743103981018067,
68
- 0.013339648246765137,
69
- 0.0133570556640625,
70
- 0.01334169578552246,
71
- 0.013328384399414063,
72
- 0.01320143985748291,
73
- 0.013280256271362305,
74
- 0.01327616024017334,
75
- 0.013327360153198242,
76
- 0.013291520118713379,
77
- 0.013339648246765137,
78
- 0.013291520118713379,
79
- 0.01336729621887207,
80
- 0.013201408386230469,
81
- 0.013296640396118165,
82
- 0.013306879997253418,
83
- 0.013668352127075196,
84
- 0.013359231948852539,
85
- 0.013301759719848634,
86
- 0.013303808212280274,
87
- 0.0133089599609375,
88
- 0.013295616149902344,
89
- 0.013373439788818359,
90
- 0.013342720031738281,
91
- 0.013245599746704102,
92
- 0.013308927536010743,
93
- 0.013254591941833496,
94
- 0.013376511573791505
95
  ]
96
  },
97
  "throughput": {
98
  "unit": "samples/s",
99
- "value": 73.02790731402578
100
  },
101
  "energy": {
102
  "unit": "kWh",
103
- "cpu": 1.6007624320439749e-07,
104
- "ram": 8.750631552024095e-08,
105
- "gpu": 3.419034266756745e-07,
106
- "total": 5.894859854003129e-07
107
  },
108
  "efficiency": {
109
  "unit": "samples/kWh",
110
- "value": 1696393.170943516
111
  }
112
  }
113
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 976.388096,
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": 1.0102445478439332,
15
+ "mean": 0.014228796448506099,
16
+ "stdev": 0.0009817016998652183,
17
+ "p50": 0.013974528312683105,
18
+ "p90": 0.014649344444274901,
19
+ "p95": 0.015409631729125977,
20
+ "p99": 0.018289459228515617,
21
  "values": [
22
+ 0.0204083194732666,
23
+ 0.01738137626647949,
24
+ 0.015316991806030274,
25
+ 0.014405632019042968,
26
+ 0.01446399974822998,
27
+ 0.014279680252075195,
28
+ 0.014346240043640136,
29
+ 0.014503935813903808,
30
+ 0.01429196834564209,
31
+ 0.014495743751525878,
32
+ 0.01448755168914795,
33
+ 0.014315520286560059,
34
+ 0.014387200355529785,
35
+ 0.014179327964782714,
36
+ 0.014231552124023437,
37
+ 0.014306303977966308,
38
+ 0.014771200180053711,
39
+ 0.016741376876831054,
40
+ 0.015292415618896485,
41
+ 0.014649344444274901,
42
+ 0.014338047981262207,
43
+ 0.014272512435913086,
44
+ 0.014499839782714843,
45
+ 0.014235648155212402,
46
+ 0.014286848068237304,
47
+ 0.014269439697265626,
48
+ 0.01407487964630127,
49
+ 0.013990912437438965,
50
+ 0.013796352386474609,
51
+ 0.013757439613342285,
52
+ 0.013666303634643554,
53
+ 0.013617152214050294,
54
+ 0.013691904067993164,
55
+ 0.013463552474975587,
56
+ 0.013412351608276368,
57
+ 0.013974528312683105,
58
+ 0.014211071968078613,
59
+ 0.014405632019042968,
60
+ 0.014118847846984863,
61
+ 0.014025728225708007,
62
+ 0.01406771183013916,
63
+ 0.013800448417663574,
64
+ 0.013830143928527832,
65
+ 0.013783040046691895,
 
66
  0.013743103981018067,
67
+ 0.01550227165222168,
68
+ 0.014024703979492188,
69
+ 0.013835264205932616,
70
+ 0.013828160285949707,
71
+ 0.013748224258422852,
72
+ 0.013799424171447755,
73
+ 0.013701120376586913,
74
+ 0.013790207862854004,
75
+ 0.013723648071289063,
76
+ 0.013730815887451172,
77
+ 0.013716480255126954,
78
+ 0.013709312438964843,
79
+ 0.013761568069458007,
80
+ 0.013737983703613281,
81
+ 0.01377791976928711,
82
+ 0.013719552040100098,
83
+ 0.013799424171447755,
84
+ 0.013747200012207032,
85
+ 0.013791232109069825,
86
+ 0.013752320289611816,
87
+ 0.013728768348693847,
88
+ 0.013749216079711914,
89
+ 0.013730815887451172,
90
+ 0.013733887672424316,
91
+ 0.01375641632080078,
92
+ 0.013759488105773926
 
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
+ "value": 70.28001304389953
98
  },
99
  "energy": {
100
  "unit": "kWh",
101
+ "cpu": 1.6352259631933507e-07,
102
+ "ram": 8.935887694218328e-08,
103
+ "gpu": 3.4232143063013805e-07,
104
+ "total": 5.952029038916563e-07
105
  },
106
  "efficiency": {
107
  "unit": "samples/kWh",
108
+ "value": 1680099.32992872
109
  }
110
  }
111
  }