Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
08301d2
·
verified ·
1 Parent(s): 04353c8

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 +98 -98
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": 703.504384,
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": 7.13133544921875,
15
- "mean": 7.13133544921875,
16
  "stdev": 0.0,
17
- "p50": 7.13133544921875,
18
- "p90": 7.13133544921875,
19
- "p95": 7.13133544921875,
20
- "p99": 7.13133544921875,
21
  "values": [
22
- 7.13133544921875
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0562926530838013e-06,
29
- "ram": 5.633221602354866e-07,
30
- "gpu": 1.826945905999272e-06,
31
- "total": 3.4465607193185603e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 985.677824,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -44,103 +44,103 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 73,
47
- "total": 1.0085785884857175,
48
- "mean": 0.013816145047749558,
49
- "stdev": 0.00043776725021576183,
50
- "p50": 0.013913087844848633,
51
- "p90": 0.014208825492858887,
52
- "p95": 0.014407884979248047,
53
- "p99": 0.015264891090393067,
54
  "values": [
55
- 0.01547059154510498,
56
- 0.015184896469116211,
57
- 0.01440665626525879,
58
- 0.014011391639709473,
59
- 0.014072832107543945,
60
- 0.013884415626525879,
61
- 0.013991935729980469,
62
- 0.014070783615112305,
63
- 0.014214143753051758,
64
- 0.01396735954284668,
65
- 0.014118911743164063,
66
- 0.014106656074523926,
67
- 0.01415167999267578,
68
- 0.01400111961364746,
69
- 0.014034943580627441,
70
- 0.013920255661010742,
71
- 0.014005248069763183,
72
- 0.013940735816955567,
73
- 0.013920255661010742,
74
- 0.01417523193359375,
75
- 0.014269439697265626,
76
- 0.014070783615112305,
77
- 0.014016511917114258,
78
- 0.014108672142028808,
79
- 0.01399500846862793,
80
- 0.013855744361877441,
81
- 0.013958144187927245,
82
- 0.014187552452087403,
83
- 0.01387929630279541,
84
- 0.013913087844848633,
85
- 0.013910016059875489,
86
- 0.014409728050231933,
87
- 0.0142807035446167,
88
- 0.0140830717086792,
89
- 0.014055423736572266,
90
- 0.014032896041870118,
91
- 0.013246399879455566,
92
- 0.013234175682067872,
93
- 0.01324131202697754,
94
- 0.013038592338562012,
95
- 0.013044735908508302,
96
- 0.0138854398727417,
97
- 0.014023679733276367,
98
- 0.014108672142028808,
99
- 0.013906975746154786,
100
- 0.01359769630432129,
101
- 0.013466624259948731,
102
- 0.013502464294433594,
103
- 0.013454336166381836,
104
- 0.013415424346923829,
105
- 0.013387776374816895,
106
- 0.013381631851196289,
107
- 0.013408255577087403,
108
- 0.01338265609741211,
109
- 0.01339084815979004,
110
- 0.013410304069519043,
111
  0.013411328315734864,
112
- 0.013396991729736327,
113
- 0.013409279823303222,
114
- 0.013409279823303222,
115
- 0.01337548828125,
116
- 0.013401087760925292,
117
- 0.013396991729736327,
118
- 0.013421567916870117,
119
- 0.013405183792114257,
120
- 0.013407232284545899,
121
- 0.013460479736328124,
122
- 0.013466624259948731,
123
- 0.013442048072814941,
124
- 0.01344921588897705,
125
- 0.013938688278198242,
126
- 0.014123071670532226,
127
- 0.014459903717041016
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
- "value": 72.37908957556037
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
- "cpu": 1.5936626328362358e-07,
137
- "ram": 8.705683081067389e-08,
138
- "gpu": 3.65648440666666e-07,
139
- "total": 6.120715347609635e-07
140
  },
141
  "efficiency": {
142
  "unit": "samples/kWh",
143
- "value": 1633795.9588180112
144
  }
145
  }
146
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 703.410176,
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": 7.20399560546875,
15
+ "mean": 7.20399560546875,
16
  "stdev": 0.0,
17
+ "p50": 7.20399560546875,
18
+ "p90": 7.20399560546875,
19
+ "p95": 7.20399560546875,
20
+ "p99": 7.20399560546875,
21
  "values": [
22
+ 7.20399560546875
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.043395863638984e-06,
29
+ "ram": 5.562242673859904e-07,
30
+ "gpu": 1.6811124559992785e-06,
31
+ "total": 3.2807325870242526e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 985.6,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 73,
47
+ "total": 1.0050150089263918,
48
+ "mean": 0.013767328889402625,
49
+ "stdev": 0.000740853942299803,
50
+ "p50": 0.013569024085998535,
51
+ "p90": 0.014617804718017578,
52
+ "p95": 0.014829951858520507,
53
+ "p99": 0.01576952705383301,
54
  "values": [
55
+ 0.016056352615356446,
56
+ 0.015657983779907226,
57
+ 0.014817279815673828,
58
+ 0.014512127876281738,
59
+ 0.014619647979736328,
60
+ 0.014334976196289062,
61
+ 0.014403583526611329,
62
+ 0.014610431671142577,
63
+ 0.014541824340820313,
64
+ 0.01439641571044922,
65
+ 0.014657535552978516,
66
+ 0.014560256004333496,
67
+ 0.014515199661254884,
68
+ 0.014414848327636719,
69
+ 0.014534624099731445,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
70
  0.013411328315734864,
71
+ 0.013486080169677735,
72
+ 0.01343283176422119,
73
+ 0.013569024085998535,
74
+ 0.013798399925231934,
75
+ 0.013660160064697266,
76
+ 0.013430720329284667,
77
+ 0.013636608123779297,
78
+ 0.013558783531188966,
79
+ 0.013486080169677735,
80
+ 0.013410304069519043,
81
+ 0.013811712265014648,
82
+ 0.013569024085998535,
83
+ 0.013623295783996582,
84
+ 0.014339072227478027,
85
+ 0.014549951553344726,
86
+ 0.015136768341064453,
87
+ 0.01478867244720459,
88
+ 0.013600768089294434,
89
+ 0.013510656356811524,
90
+ 0.013583359718322753,
91
+ 0.013399104118347167,
92
+ 0.0133887996673584,
93
+ 0.013711359977722168,
94
+ 0.013232128143310547,
95
+ 0.01368166446685791,
96
+ 0.014574591636657714,
97
+ 0.01445792007446289,
98
+ 0.014533632278442383,
99
+ 0.014418944358825684,
100
+ 0.01423465633392334,
101
+ 0.014848959922790528,
102
+ 0.013462528228759766,
103
+ 0.01306828784942627,
104
+ 0.013049856185913086,
105
+ 0.013005824089050292,
106
+ 0.012972031593322754,
107
+ 0.01296281623840332,
108
+ 0.012966912269592285,
109
+ 0.012958720207214355,
110
+ 0.012949503898620606,
111
+ 0.012922880172729492,
112
+ 0.012941311836242676,
113
+ 0.013148159980773925,
114
+ 0.01295257568359375,
115
+ 0.012933119773864746,
116
+ 0.012923904418945312,
117
+ 0.012918784141540527,
118
+ 0.012932095527648926,
119
+ 0.01305907154083252,
120
+ 0.01304576015472412,
121
+ 0.012918784141540527,
122
+ 0.012966912269592285,
123
+ 0.012973055839538575,
124
+ 0.012973055839538575,
125
+ 0.014515199661254884,
126
+ 0.013536191940307618,
127
+ 0.01344921588897705
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
+ "value": 72.63573115985832
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
+ "cpu": 1.6496111121442583e-07,
137
+ "ram": 9.012084026208522e-08,
138
+ "gpu": 3.4019317338889257e-07,
139
+ "total": 5.952751248654036e-07
140
  },
141
  "efficiency": {
142
  "unit": "samples/kWh",
143
+ "value": 1679895.4940811745
144
  }
145
  }
146
  }