Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
977463d
·
verified ·
1 Parent(s): 9272d15

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 -96
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": 797.32736,
6
  "max_global_vram": 1410.859008,
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": 8.04786474609375,
15
- "mean": 8.04786474609375,
16
  "stdev": 0.0,
17
- "p50": 8.04786474609375,
18
- "p90": 8.04786474609375,
19
- "p95": 8.04786474609375,
20
- "p99": 8.04786474609375,
21
  "values": [
22
- 8.04786474609375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 2.4118828388890754e-06,
29
- "ram": 1.3030065136750248e-06,
30
- "gpu": 3.314724874000155e-06,
31
- "total": 7.029614226564255e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1185.325056,
39
  "max_global_vram": 1442.316288,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,102 +43,103 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 71,
47
- "total": 1.0039787187576292,
48
- "mean": 0.014140545334614498,
49
- "stdev": 0.00043525830764881907,
50
- "p50": 0.01407692813873291,
51
- "p90": 0.014707712173461914,
52
- "p95": 0.014970368385314941,
53
- "p99": 0.015493097400665283,
54
  "values": [
55
- 0.01559347152709961,
56
- 0.015450079917907715,
57
- 0.014950400352478027,
58
- 0.014126079559326172,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
59
  0.014035967826843262,
60
  0.014041088104248046,
61
- 0.014013440132141113,
62
- 0.013932543754577637,
63
- 0.01407692813873291,
64
- 0.014201855659484864,
65
- 0.014106623649597168,
66
- 0.013935615539550781,
67
- 0.01406873607635498,
68
- 0.01409945583343506,
69
- 0.014295007705688477,
70
- 0.014524415969848633,
71
- 0.014089216232299804,
72
- 0.014100480079650878,
73
- 0.013953023910522461,
74
- 0.014033920288085937,
75
- 0.013920255661010742,
76
- 0.014149632453918457,
77
- 0.014427136421203614,
78
- 0.014260224342346191,
79
- 0.01429094409942627,
80
- 0.014017536163330077,
81
- 0.014032896041870118,
82
- 0.014214143753051758,
83
- 0.014139391899108887,
84
- 0.014112768173217773,
85
- 0.014707712173461914,
86
- 0.014476287841796874,
87
- 0.014358528137207031,
88
- 0.014027775764465332,
89
- 0.014023679733276367,
90
- 0.013973504066467286,
91
- 0.014007295608520508,
92
- 0.014766079902648926,
93
- 0.01430835247039795,
94
- 0.014316543579101563,
95
- 0.014266400337219239,
96
- 0.01407692813873291,
97
- 0.014569472312927247,
98
- 0.013961215972900391,
99
- 0.01394380760192871,
100
- 0.014048255920410157,
101
- 0.014071807861328126,
102
- 0.014144512176513671,
103
- 0.014317567825317384,
104
- 0.014424063682556153,
105
- 0.014417920112609863,
106
- 0.01425100803375244,
107
- 0.014864383697509765,
108
- 0.014990336418151855,
109
- 0.015079423904418946,
110
- 0.014156800270080566,
111
- 0.014049280166625976,
112
- 0.01396735954284668,
113
- 0.01386905574798584,
114
- 0.013856767654418945,
115
- 0.013368320465087891,
116
- 0.013472767829895019,
117
- 0.013524991989135742,
118
- 0.01347481632232666,
119
- 0.013496319770812988,
120
- 0.013494272232055664,
121
- 0.013478912353515626,
122
- 0.013527039527893067,
123
- 0.013466624259948731,
124
- 0.01346560001373291,
125
- 0.013723648071289063
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
- "value": 70.71863045848099
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
- "cpu": 1.6824676924883297e-07,
135
- "ram": 9.186649565817886e-08,
136
- "gpu": 3.521794679718276e-07,
137
- "total": 6.122927328788394e-07
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
- "value": 1633205.7303673408
142
  }
143
  }
144
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 797.401088,
6
  "max_global_vram": 1410.859008,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.97715234375,
15
+ "mean": 7.97715234375,
16
  "stdev": 0.0,
17
+ "p50": 7.97715234375,
18
+ "p90": 7.97715234375,
19
+ "p95": 7.97715234375,
20
+ "p99": 7.97715234375,
21
  "values": [
22
+ 7.97715234375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 2.3982653548563985e-06,
29
+ "ram": 1.2948567684174513e-06,
30
+ "gpu": 3.4405583079974433e-06,
31
+ "total": 7.133680431271293e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1185.439744,
39
  "max_global_vram": 1442.316288,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 72,
47
+ "total": 1.0075820779800417,
48
+ "mean": 0.013994195527500577,
49
+ "stdev": 0.0005885176493199646,
50
+ "p50": 0.013912575721740723,
51
+ "p90": 0.014074681282043457,
52
+ "p95": 0.014152089357376099,
53
+ "p99": 0.016041247081756617,
54
  "values": [
55
+ 0.01868185615539551,
56
+ 0.014962688446044922,
57
+ 0.013928447723388672,
58
+ 0.013763584136962891,
59
+ 0.01397657585144043,
60
+ 0.013939711570739746,
61
+ 0.013934592247009277,
62
+ 0.013898752212524413,
63
+ 0.01386291217803955,
64
+ 0.013849599838256836,
65
+ 0.01385267162322998,
66
+ 0.013916159629821777,
67
+ 0.014451711654663087,
68
+ 0.014005248069763183,
69
+ 0.013888511657714844,
70
+ 0.013891584396362304,
71
+ 0.014038016319274902,
72
+ 0.01384447956085205,
73
+ 0.013891615867614747,
74
+ 0.013905920028686524,
75
+ 0.013813759803771973,
76
+ 0.013998080253601074,
77
+ 0.01389363193511963,
78
+ 0.01389363193511963,
79
+ 0.013918208122253419,
80
+ 0.013908991813659668,
81
+ 0.013990912437438965,
82
+ 0.013884415626525879,
83
+ 0.01386086368560791,
84
+ 0.013841407775878906,
85
+ 0.013839360237121581,
86
+ 0.01387827205657959,
87
+ 0.013851648330688476,
88
+ 0.013831168174743653,
89
+ 0.013839360237121581,
90
+ 0.013864959716796875,
91
+ 0.013848575592041015,
92
+ 0.013921279907226563,
93
+ 0.013862848281860352,
94
+ 0.013830143928527832,
95
+ 0.013873151779174805,
96
+ 0.013958144187927245,
97
+ 0.013921279907226563,
98
+ 0.01385267162322998,
99
+ 0.013826047897338867,
100
+ 0.013835264205932616,
101
+ 0.013872063636779786,
102
+ 0.01375641632080078,
103
+ 0.013433792114257813,
104
+ 0.013410304069519043,
105
+ 0.013436927795410156,
106
+ 0.013759488105773926,
107
+ 0.014146559715270996,
108
+ 0.014072896003723145,
109
+ 0.014138367652893067,
110
+ 0.014128128051757812,
111
+ 0.01407487964630127,
112
+ 0.013961215972900391,
113
+ 0.01398470401763916,
114
+ 0.013953023910522461,
115
+ 0.013989888191223144,
116
+ 0.013993984222412109,
117
+ 0.014014464378356933,
118
  0.014035967826843262,
119
  0.014041088104248046,
120
+ 0.013957119941711426,
121
+ 0.01397862434387207,
122
+ 0.013983743667602539,
123
+ 0.014006272315979004,
124
+ 0.01400937557220459,
125
+ 0.014158847808837891,
126
+ 0.013961215972900391
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
127
  ]
128
  },
129
  "throughput": {
130
  "unit": "samples/s",
131
+ "value": 71.4581983676631
132
  },
133
  "energy": {
134
  "unit": "kWh",
135
+ "cpu": 1.6491647317700584e-07,
136
+ "ram": 9.002936448587782e-08,
137
+ "gpu": 3.4869240858333924e-07,
138
+ "total": 6.036382462462228e-07
139
  },
140
  "efficiency": {
141
  "unit": "samples/kWh",
142
+ "value": 1656621.3393842876
143
  }
144
  }
145
  }