Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
70eef89
·
verified ·
1 Parent(s): 68fb0ba

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 +97 -94
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 707.694592,
6
  "max_global_vram": 1403.518976,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 7.24012255859375,
15
- "mean": 7.24012255859375,
16
  "stdev": 0.0,
17
- "p50": 7.24012255859375,
18
- "p90": 7.24012255859375,
19
- "p95": 7.24012255859375,
20
- "p99": 7.24012255859375,
21
  "values": [
22
- 7.24012255859375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0983409153090584e-06,
29
- "ram": 5.862094322013908e-07,
30
- "gpu": 1.8497237019993173e-06,
31
- "total": 3.534274049509767e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 990.031872,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,101 +43,104 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 70,
47
- "total": 1.0066515512466434,
48
- "mean": 0.014380736446380616,
49
- "stdev": 0.0006746329681574908,
50
- "p50": 0.014257152080535889,
51
- "p90": 0.014808575916290284,
52
- "p95": 0.015478118562698361,
53
- "p99": 0.017259714221954346,
54
  "values": [
55
- 0.01601945686340332,
56
- 0.015790080070495604,
57
- 0.014905344009399414,
58
- 0.014511103630065919,
59
- 0.014548992156982422,
60
- 0.014384127616882325,
61
- 0.014458880424499512,
62
- 0.014565376281738282,
63
- 0.01509068775177002,
64
- 0.017117183685302736,
65
- 0.01757695960998535,
66
- 0.015096832275390625,
67
- 0.01447430419921875,
68
- 0.014486528396606446,
69
- 0.0146463041305542,
70
- 0.014419967651367188,
71
- 0.014483455657958985,
72
- 0.014429183959960937,
73
- 0.01451417636871338,
74
- 0.014797823905944824,
75
- 0.014757887840270996,
76
- 0.014679072380065918,
77
- 0.014713855743408203,
78
- 0.014622719764709472,
79
- 0.014606335639953612,
80
- 0.013721599578857421,
81
- 0.013905920028686524,
82
- 0.014023679733276367,
83
- 0.01460739231109619,
84
  0.01376460838317871,
85
- 0.01366220760345459,
86
- 0.013929471969604493,
87
- 0.014135295867919923,
88
- 0.014036992073059081,
89
- 0.014238719940185546,
90
- 0.014491647720336913,
91
- 0.014551039695739745,
92
- 0.014528512001037597,
93
- 0.014434304237365723,
94
- 0.01429094409942627,
95
- 0.014114815711975098,
96
- 0.014431232452392579,
97
- 0.01458790397644043,
98
- 0.014712863922119141,
99
- 0.01427558422088623,
100
- 0.014031871795654297,
101
- 0.013915136337280273,
102
- 0.013965312004089356,
103
- 0.013923263549804688,
104
- 0.013926336288452149,
105
- 0.013933568000793458,
106
- 0.013926400184631347,
107
  0.013913087844848633,
108
- 0.013950976371765136,
109
- 0.013911040306091308,
110
- 0.013918208122253419,
111
- 0.014013440132141113,
112
- 0.014049280166625976,
113
- 0.01406668758392334,
114
- 0.01396019172668457,
115
- 0.013880319595336914,
116
- 0.01391926383972168,
117
- 0.013917247772216796,
118
- 0.01387929630279541,
119
- 0.013969408035278321,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
120
  0.013921279907226563,
121
- 0.013912063598632812,
122
- 0.013890560150146485,
123
- 0.013888511657714844,
124
- 0.013927424430847168
 
 
 
 
 
 
 
 
 
 
 
125
  ]
126
  },
127
  "throughput": {
128
  "unit": "samples/s",
129
- "value": 69.5374679682474
130
  },
131
  "energy": {
132
  "unit": "kWh",
133
- "cpu": 1.6377260015435415e-07,
134
- "ram": 8.954040656670556e-08,
135
- "gpu": 3.5965782197260216e-07,
136
- "total": 6.129708286936619e-07
137
  },
138
  "efficiency": {
139
  "unit": "samples/kWh",
140
- "value": 1631399.0049594345
141
  }
142
  }
143
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 707.64544,
6
  "max_global_vram": 1403.518976,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.21685205078125,
15
+ "mean": 7.21685205078125,
16
  "stdev": 0.0,
17
+ "p50": 7.21685205078125,
18
+ "p90": 7.21685205078125,
19
+ "p95": 7.21685205078125,
20
+ "p99": 7.21685205078125,
21
  "values": [
22
+ 7.21685205078125
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.1307573980755277e-06,
29
+ "ram": 5.835251606173604e-07,
30
+ "gpu": 1.866390381999837e-06,
31
+ "total": 3.5806729406927247e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 989.990912,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 73,
47
+ "total": 1.0098422374725344,
48
+ "mean": 0.013833455307842935,
49
+ "stdev": 0.0002479352092407627,
50
+ "p50": 0.013805567741394043,
51
+ "p90": 0.013982726669311524,
52
+ "p95": 0.01405583324432373,
53
+ "p99": 0.014843166885375977,
54
  "values": [
55
+ 0.014735360145568848,
56
+ 0.015120384216308593,
57
+ 0.014575615882873535,
58
+ 0.013117440223693847,
59
+ 0.01333350372314453,
60
+ 0.013833215713500976,
61
+ 0.013825023651123047,
62
+ 0.013894656181335448,
63
+ 0.013825023651123047,
64
+ 0.013884415626525879,
65
+ 0.0136878080368042,
66
+ 0.013702143669128418,
67
+ 0.013659135818481445,
68
+ 0.013608960151672364,
69
+ 0.013626367568969726,
70
+ 0.013600704193115234,
71
+ 0.013799424171447755,
72
+ 0.013812800407409669,
73
+ 0.013837311744689941,
74
+ 0.013849599838256836,
 
 
 
 
 
 
 
 
 
75
  0.01376460838317871,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
76
  0.013913087844848633,
77
+ 0.013789183616638183,
78
+ 0.013821951866149903,
79
+ 0.014051327705383301,
80
+ 0.013732864379882812,
81
+ 0.013875264167785645,
82
+ 0.01375641632080078,
83
+ 0.013686783790588379,
84
+ 0.013712384223937989,
85
+ 0.013933568000793458,
86
+ 0.014002176284790039,
87
+ 0.013776927947998048,
88
+ 0.013868032455444336,
89
+ 0.013782015800476074,
90
+ 0.013805567741394043,
91
+ 0.01377791976928711,
92
+ 0.013755359649658204,
93
+ 0.013822976112365723,
94
+ 0.013843392372131348,
95
+ 0.013887424468994141,
96
+ 0.01377894401550293,
97
+ 0.013739007949829102,
98
+ 0.013838335990905762,
99
+ 0.013717503547668456,
100
+ 0.013842432022094727,
101
+ 0.013949983596801758,
102
+ 0.013857791900634766,
103
+ 0.013813759803771973,
104
+ 0.013799455642700196,
105
+ 0.013835264205932616,
106
+ 0.01355571174621582,
107
+ 0.013700096130371094,
108
+ 0.01379740810394287,
109
+ 0.013745152473449707,
110
+ 0.01385267162322998,
111
+ 0.013742079734802246,
112
  0.013921279907226563,
113
+ 0.01377791976928711,
114
+ 0.014062591552734375,
115
+ 0.013990912437438965,
116
+ 0.013998080253601074,
117
+ 0.013739007949829102,
118
+ 0.013907967567443847,
119
+ 0.01377791976928711,
120
+ 0.01380352020263672,
121
+ 0.013802495956420899,
122
+ 0.013872127532958984,
123
+ 0.013756447792053223,
124
+ 0.013841407775878906,
125
+ 0.01376460838317871,
126
+ 0.013811712265014648,
127
+ 0.013760512351989745
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
+ "value": 72.28851922722777
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
+ "cpu": 1.6028673441202435e-07,
137
+ "ram": 8.763329515846965e-08,
138
+ "gpu": 3.576166524594622e-07,
139
+ "total": 6.055366820299562e-07
140
  },
141
  "efficiency": {
142
  "unit": "samples/kWh",
143
+ "value": 1651427.6173124216
144
  }
145
  }
146
  }