IlyasMoutawwakil HF staff commited on
Commit
78de655
·
verified ·
1 Parent(s): ef5d5be

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": 975.13472,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,102 +10,100 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 71,
14
- "total": 1.003022497177124,
15
- "mean": 0.014127077425029916,
16
- "stdev": 0.00038936313905439765,
17
- "p50": 0.014035103797912597,
18
- "p90": 0.014717056274414062,
19
- "p95": 0.01489408016204834,
20
- "p99": 0.015085689449310304,
21
  "values": [
22
- 0.014554112434387208,
23
- 0.014929920196533204,
24
- 0.01479475212097168,
25
- 0.014432255744934081,
26
- 0.01413436794281006,
27
- 0.013743103981018067,
28
- 0.013819904327392578,
29
- 0.01373369598388672,
30
- 0.013827072143554688,
31
- 0.01370419216156006,
32
- 0.013855744361877441,
33
- 0.01375436782836914,
34
- 0.013753312110900879,
35
- 0.013873151779174805,
36
- 0.013740032196044923,
37
- 0.01398681640625,
38
- 0.013758463859558106,
39
- 0.013854911804199219,
40
- 0.013616095542907715,
41
- 0.013767680168151856,
42
- 0.014221311569213867,
43
- 0.013882368087768555,
44
- 0.013793279647827148,
45
- 0.013910016059875489,
46
- 0.01386291217803955,
47
- 0.013789183616638183,
48
- 0.013899776458740234,
49
- 0.013793279647827148,
50
- 0.014087167739868164,
51
- 0.013635616302490234,
52
- 0.013859840393066406,
53
- 0.013790207862854004,
54
- 0.013690879821777344,
55
- 0.013785087585449218,
56
- 0.014653471946716309,
57
- 0.015090751647949218,
58
- 0.015037440299987792,
59
- 0.01508351993560791,
60
- 0.014724096298217774,
61
- 0.014717056274414062,
62
- 0.014405632019042968,
63
  0.014540800094604492,
64
- 0.014676992416381835,
65
- 0.013627391815185547,
66
- 0.014610400199890137,
67
- 0.014578687667846679,
68
- 0.014858240127563477,
69
- 0.014701567649841308,
70
- 0.01428275203704834,
71
- 0.014221311569213867,
72
- 0.01420803165435791,
73
- 0.014228416442871093,
74
- 0.013930496215820312,
75
- 0.014050304412841797,
76
- 0.013913087844848633,
77
- 0.014092288017272948,
78
- 0.014056447982788087,
79
- 0.014035967826843262,
80
- 0.01416806411743164,
81
- 0.014104576110839843,
82
- 0.014509056091308594,
83
- 0.01405951976776123,
84
- 0.014049280166625976,
 
 
 
 
 
 
85
  0.013902848243713378,
86
- 0.013971360206604003,
87
- 0.014035103797912597,
88
- 0.014008319854736329,
89
- 0.014189567565917969,
90
- 0.014166912078857423,
91
- 0.013938688278198242,
92
- 0.013959168434143066
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
- "value": 70.78604936561267
98
  },
99
  "energy": {
100
  "unit": "kWh",
101
- "cpu": 1.6667223133054782e-07,
102
- "ram": 9.104652102299344e-08,
103
- "gpu": 3.35301194166623e-07,
104
- "total": 5.930199465201643e-07
105
  },
106
  "efficiency": {
107
  "unit": "samples/kWh",
108
- "value": 1686283.9199052087
109
  }
110
  }
111
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.106048,
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": 69,
14
+ "total": 0.9975960683822632,
15
+ "mean": 0.014457914034525553,
16
+ "stdev": 0.0008989232617880069,
17
+ "p50": 0.014368767738342286,
18
+ "p90": 0.014978252410888671,
19
+ "p95": 0.01544048671722412,
20
+ "p99": 0.018139791793823218,
21
  "values": [
22
+ 0.02049126434326172,
23
+ 0.01703321647644043,
24
+ 0.015481856346130371,
25
+ 0.015378432273864746,
26
+ 0.014851072311401366,
27
+ 0.015024127960205079,
28
+ 0.014515199661254884,
29
+ 0.014318592071533203,
30
+ 0.01448755168914795,
31
+ 0.01461350440979004,
32
+ 0.014416895866394042,
33
+ 0.01442512035369873,
34
+ 0.014582783699035644,
35
+ 0.014558208465576173,
36
+ 0.014433279991149902,
37
+ 0.014520319938659668,
38
+ 0.014409728050231933,
39
+ 0.014363648414611817,
40
+ 0.014360575675964356,
41
+ 0.014368767738342286,
42
+ 0.015150079727172852,
43
+ 0.014812159538269042,
44
+ 0.014559231758117675,
45
+ 0.014418944358825684,
46
+ 0.014593024253845215,
47
+ 0.014470080375671386,
48
+ 0.014337023735046387,
49
+ 0.014348287582397461,
50
+ 0.014673919677734374,
51
+ 0.014252032279968262,
52
+ 0.014430144309997558,
53
+ 0.014394368171691894,
54
+ 0.01438003158569336,
55
+ 0.01496678352355957,
56
+ 0.014851072311401366,
57
+ 0.014414848327636719,
58
+ 0.015520768165588379,
 
 
 
 
59
  0.014540800094604492,
60
+ 0.014238783836364746,
61
+ 0.014375935554504395,
62
+ 0.014099424362182617,
63
+ 0.014321663856506347,
64
+ 0.01429100799560547,
65
+ 0.01447935962677002,
66
+ 0.014541824340820313,
67
+ 0.014105600357055664,
68
+ 0.013927424430847168,
69
+ 0.013942784309387207,
70
+ 0.013915136337280273,
71
+ 0.013835264205932616,
72
+ 0.013889535903930664,
73
+ 0.014060544013977052,
74
+ 0.01397760009765625,
75
+ 0.013841407775878906,
76
+ 0.01386086368560791,
77
+ 0.01388748836517334,
78
+ 0.013881343841552735,
79
+ 0.013839360237121581,
80
+ 0.013891584396362304,
81
+ 0.013837311744689941,
82
+ 0.01386291217803955,
83
+ 0.013889504432678222,
84
+ 0.013843456268310546,
85
+ 0.013888511657714844,
86
+ 0.013874176025390626,
87
  0.013902848243713378,
88
+ 0.013858816146850587,
89
+ 0.01387929630279541,
90
+ 0.013807552337646484
 
 
 
 
91
  ]
92
  },
93
  "throughput": {
94
  "unit": "samples/s",
95
+ "value": 69.16627098570349
96
  },
97
  "energy": {
98
  "unit": "kWh",
99
+ "cpu": 1.632931433856215e-07,
100
+ "ram": 8.919706957535147e-08,
101
+ "gpu": 3.389196014246559e-07,
102
+ "total": 5.914098143856289e-07
103
  },
104
  "efficiency": {
105
  "unit": "samples/kWh",
106
+ "value": 1690874.881809029
107
  }
108
  }
109
  }