IlyasMoutawwakil HF staff commited on
Commit
4fc91b1
·
verified ·
1 Parent(s): 4ea5fb3

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": 975.03232,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,101 +10,100 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 70,
14
- "total": 1.0104441928863526,
15
- "mean": 0.014434917041233609,
16
- "stdev": 0.0011847663766733237,
17
- "p50": 0.014269440174102782,
18
- "p90": 0.014836230754852294,
19
- "p95": 0.015285657644271849,
20
- "p99": 0.020519401321411133,
21
  "values": [
22
- 0.020625408172607423,
23
- 0.02047177505493164,
24
- 0.017039295196533202,
25
- 0.014835712432861328,
26
- 0.014485504150390625,
27
- 0.01407590389251709,
28
- 0.013957119941711426,
29
- 0.01387110424041748,
30
- 0.014381055831909179,
31
- 0.014712832450866698,
32
- 0.014723072052001953,
33
- 0.01457151985168457,
34
- 0.014660608291625977,
35
- 0.014740480422973632,
36
- 0.014690303802490234,
37
- 0.014644288063049316,
38
- 0.014636032104492188,
39
- 0.014461952209472656,
40
- 0.014537759780883789,
41
- 0.014508031845092773,
42
- 0.014849023818969726,
43
- 0.01487564754486084,
44
  0.01460531234741211,
45
- 0.013993984222412109,
46
- 0.014070783615112305,
47
- 0.013942784309387207,
48
- 0.013864959716796875,
49
- 0.013889535903930664,
50
- 0.014840895652770997,
51
- 0.014466048240661621,
52
- 0.014484479904174804,
53
- 0.014509056091308594,
54
- 0.013971455574035644,
55
- 0.014442496299743653,
56
- 0.014294015884399413,
57
- 0.014017536163330077,
58
- 0.014028800010681153,
59
- 0.014244864463806153,
60
- 0.014518272399902344,
61
- 0.013883392333984374,
62
- 0.013936639785766602,
63
- 0.014358528137207031,
64
- 0.014515199661254884,
65
- 0.014623744010925293,
66
- 0.014748671531677245,
67
- 0.014350336074829101,
68
- 0.01562112045288086,
69
- 0.014394368171691894,
70
- 0.014077887535095215,
71
- 0.014158847808837891,
72
- 0.013942784309387207,
73
- 0.013972448348999024,
74
- 0.013944831848144532,
75
- 0.013944831848144532,
76
- 0.013933568000793458,
77
- 0.014429183959960937,
78
- 0.014041088104248046,
79
- 0.013959168434143066,
80
- 0.013930496215820312,
81
- 0.013971455574035644,
82
- 0.013915136337280273,
83
- 0.013577216148376465,
84
- 0.013417471885681152,
85
- 0.013438976287841797,
86
- 0.013485055923461914,
87
- 0.013576128005981446,
88
- 0.013480959892272949,
89
- 0.013455360412597657,
90
- 0.013408255577087403,
91
- 0.013411328315734864
 
 
92
  ]
93
  },
94
  "throughput": {
95
  "unit": "samples/s",
96
- "value": 69.27646325527756
97
  },
98
  "energy": {
99
  "unit": "kWh",
100
- "cpu": 1.6142207088771167e-07,
101
- "ram": 8.822808896257883e-08,
102
- "gpu": 3.342232403513545e-07,
103
- "total": 5.838734002016451e-07
104
  },
105
  "efficiency": {
106
  "unit": "samples/kWh",
107
- "value": 1712700.0470558214
108
  }
109
  }
110
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 975.355904,
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": 1.007857539176941,
15
+ "mean": 0.014606631002564364,
16
+ "stdev": 0.00042881203946817324,
17
+ "p50": 0.01458892822265625,
18
+ "p90": 0.015052793884277344,
19
+ "p95": 0.015431270027160644,
20
+ "p99": 0.015984466018676754,
21
  "values": [
22
+ 0.015372287750244141,
23
+ 0.016288736343383788,
24
+ 0.015841279983520508,
25
+ 0.015065055847167969,
26
+ 0.014686207771301269,
27
+ 0.014623647689819335,
28
+ 0.014551103591918945,
29
+ 0.01456332778930664,
30
+ 0.014806015968322754,
31
+ 0.014712863922119141,
32
+ 0.01461251163482666,
33
+ 0.014684160232543946,
34
+ 0.014809087753295898,
35
+ 0.0149616641998291,
36
+ 0.014672896385192872,
37
+ 0.014992416381835938,
38
+ 0.01458892822265625,
39
+ 0.014501888275146485,
40
+ 0.01449779224395752,
 
 
 
41
  0.01460531234741211,
42
+ 0.015048704147338866,
43
+ 0.014977024078369141,
44
+ 0.01467801570892334,
45
+ 0.014731264114379883,
46
+ 0.015213567733764649,
47
+ 0.014618623733520507,
48
+ 0.0145797119140625,
49
+ 0.014717951774597168,
50
+ 0.014859264373779296,
51
+ 0.014538751602172852,
52
+ 0.014555071830749512,
53
+ 0.014534655570983887,
54
+ 0.014871552467346191,
55
+ 0.015049728393554687,
56
+ 0.015543295860290527,
57
+ 0.014715904235839844,
58
+ 0.01469644832611084,
59
+ 0.014564352035522461,
60
+ 0.014459903717041016,
61
+ 0.014418944358825684,
62
+ 0.014322688102722168,
63
+ 0.014484448432922363,
64
+ 0.014593024253845215,
65
+ 0.014726143836975097,
66
+ 0.01547059154510498,
67
+ 0.014495743751525878,
68
+ 0.01430835247039795,
69
+ 0.014171135902404786,
70
+ 0.014272512435913086,
71
+ 0.01459712028503418,
72
+ 0.014600192070007324,
73
+ 0.01448960018157959,
74
+ 0.014204928398132324,
75
+ 0.01420083236694336,
76
+ 0.01409945583343506,
77
+ 0.014109696388244629,
78
+ 0.01459404754638672,
79
+ 0.014120896339416504,
80
+ 0.014147616386413575,
81
+ 0.014047231674194336,
82
+ 0.014136320114135742,
83
+ 0.014081024169921874,
84
+ 0.014155776023864745,
85
+ 0.014064640045166015,
86
+ 0.01409126377105713,
87
+ 0.014136320114135742,
88
+ 0.014081024169921874,
89
+ 0.01415987205505371,
90
+ 0.01408512020111084
91
  ]
92
  },
93
  "throughput": {
94
  "unit": "samples/s",
95
+ "value": 68.46205670728851
96
  },
97
  "energy": {
98
  "unit": "kWh",
99
+ "cpu": 1.6701714492138522e-07,
100
+ "ram": 9.093868306232858e-08,
101
+ "gpu": 3.466360797777796e-07,
102
+ "total": 6.045919077614934e-07
103
  },
104
  "efficiency": {
105
  "unit": "samples/kWh",
106
+ "value": 1654008.2445074536
107
  }
108
  }
109
  }