Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
c28fbbb
·
verified ·
1 Parent(s): 12eabfc

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 +93 -95
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": 801.931264,
6
  "max_global_vram": 1410.859008,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
@@ -11,15 +11,15 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.207457275390625
15
  ],
16
  "count": 1,
17
- "total": 0.207457275390625,
18
- "mean": 0.207457275390625,
19
- "p50": 0.207457275390625,
20
- "p90": 0.207457275390625,
21
- "p95": 0.207457275390625,
22
- "p99": 0.207457275390625,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
@@ -30,7 +30,7 @@
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
- "max_ram": 1191.05536,
34
  "max_global_vram": 1442.316288,
35
  "max_process_vram": 0.0,
36
  "max_reserved": 794.820608,
@@ -39,103 +39,101 @@
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
- 0.014302176475524902,
43
- 0.014225407600402832,
44
- 0.013579263687133789,
45
- 0.013576255798339844,
46
- 0.013517824172973633,
47
- 0.013544447898864746,
48
- 0.013616095542907715,
49
- 0.014292991638183594,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
50
  0.014143487930297852,
51
- 0.0135731201171875,
52
- 0.016706560134887697,
53
- 0.017059839248657227,
54
- 0.014029824256896972,
55
- 0.014445568084716797,
56
- 0.014140416145324707,
57
- 0.014002176284790039,
58
- 0.013947903633117676,
59
- 0.014005248069763183,
60
- 0.01425715160369873,
61
- 0.013892607688903809,
62
- 0.014027775764465332,
63
- 0.014433247566223145,
64
- 0.014160896301269531,
65
- 0.014135295867919923,
66
- 0.014397503852844239,
67
- 0.014414848327636719,
68
- 0.014254079818725587,
69
- 0.0140830717086792,
70
- 0.013913087844848633,
71
- 0.014214143753051758,
72
- 0.013931520462036133,
73
- 0.01397555160522461,
74
- 0.013858847618103028,
75
- 0.013808639526367187,
76
- 0.01398681640625,
77
- 0.014543871879577636,
78
- 0.014593024253845215,
79
- 0.014508031845092773,
80
- 0.014188544273376465,
81
- 0.014068672180175781,
82
- 0.01409945583343506,
83
- 0.014006272315979004,
84
- 0.014096351623535156,
85
- 0.014043135643005371,
86
- 0.013981696128845214,
87
- 0.013542400360107423,
88
- 0.013484095573425293,
89
- 0.01349836826324463,
90
- 0.013538304328918458,
91
- 0.013505536079406738,
92
- 0.013503487586975099,
93
- 0.013489151954650879,
94
- 0.013451264381408692,
95
- 0.013451264381408692,
96
- 0.013527039527893067,
97
- 0.013559807777404785,
98
- 0.014137344360351562,
99
- 0.01410972785949707,
100
- 0.014090239524841308,
101
- 0.014038016319274902,
102
- 0.014432255744934081,
103
- 0.014347264289855957,
104
- 0.01358847999572754,
105
- 0.01348300838470459,
106
- 0.0134901762008667,
107
- 0.013495295524597169,
108
- 0.013463552474975587,
109
- 0.013502431869506835,
110
- 0.013490143775939942,
111
- 0.01346457576751709,
112
- 0.013528063774108886,
113
- 0.013460479736328124
114
  ],
115
- "count": 72,
116
- "total": 1.0072545242309567,
117
- "mean": 0.013989646169874402,
118
- "p50": 0.01399449634552002,
119
- "p90": 0.014430515003204344,
120
- "p95": 0.014524159860610961,
121
- "p99": 0.016809011077880864,
122
- "stdev": 0.0005971992157420038,
123
- "stdev_": 4.268865763224413
124
  },
125
  "throughput": {
126
  "unit": "samples/s",
127
- "value": 71.48143618910255
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
- "cpu": 1.6783916182511552e-07,
132
- "ram": 9.136675478612259e-08,
133
- "gpu": 3.5564191205632957e-07,
134
- "total": 6.148478286675676e-07
135
  },
136
  "efficiency": {
137
  "unit": "samples/kWh",
138
- "value": 1626418.689917297
139
  }
140
  }
141
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 801.079296,
6
  "max_global_vram": 1410.859008,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.2198783416748047
15
  ],
16
  "count": 1,
17
+ "total": 0.2198783416748047,
18
+ "mean": 0.2198783416748047,
19
+ "p50": 0.2198783416748047,
20
+ "p90": 0.2198783416748047,
21
+ "p95": 0.2198783416748047,
22
+ "p99": 0.2198783416748047,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
 
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
+ "max_ram": 1190.1952,
34
  "max_global_vram": 1442.316288,
35
  "max_process_vram": 0.0,
36
  "max_reserved": 794.820608,
 
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
+ 0.014258175849914552,
43
+ 0.013909952163696289,
44
+ 0.01376255989074707,
45
+ 0.014824447631835937,
46
+ 0.014798848152160645,
47
+ 0.014637056350708008,
48
+ 0.014657535552978516,
49
+ 0.014838784217834473,
50
+ 0.014842880249023438,
51
+ 0.014928895950317383,
52
+ 0.014919679641723632,
53
+ 0.014916607856750488,
54
+ 0.014856191635131836,
55
+ 0.014840864181518554,
56
+ 0.014616607666015625,
57
+ 0.014621696472167968,
58
+ 0.015041536331176757,
59
+ 0.014609408378601075,
60
+ 0.014557024002075196,
61
+ 0.014654303550720215,
62
+ 0.013985792160034179,
63
+ 0.01434931182861328,
64
+ 0.014105600357055664,
65
+ 0.014231552124023437,
66
+ 0.013796352386474609,
67
+ 0.013966336250305175,
68
+ 0.013855680465698243,
69
+ 0.013839360237121581,
70
+ 0.0137543363571167,
71
+ 0.013924351692199707,
72
+ 0.013734911918640137,
73
+ 0.014547967910766601,
74
+ 0.014640128135681153,
75
+ 0.0146810884475708,
76
+ 0.015527935981750488,
77
+ 0.014409664154052735,
78
  0.014143487930297852,
79
+ 0.014101504325866699,
80
+ 0.014236672401428223,
81
+ 0.014071807861328126,
82
+ 0.013798399925231934,
83
+ 0.014419967651367188,
84
+ 0.014022656440734863,
85
+ 0.014312447547912598,
86
+ 0.013940671920776367,
87
+ 0.013912032127380371,
88
+ 0.013816831588745117,
89
+ 0.013846495628356933,
90
+ 0.013996031761169434,
91
+ 0.013974528312683105,
92
+ 0.013935615539550781,
93
+ 0.013937664031982423,
94
+ 0.01394380760192871,
95
+ 0.01407699203491211,
96
+ 0.013807616233825683,
97
+ 0.013921279907226563,
98
+ 0.013917344093322754,
99
+ 0.013875200271606445,
100
+ 0.013890560150146485,
101
+ 0.013875200271606445,
102
+ 0.01380352020263672,
103
+ 0.014441472053527832,
104
+ 0.015229951858520508,
105
+ 0.015533056259155274,
106
+ 0.014304256439208985,
107
+ 0.014647295951843262,
108
+ 0.013911040306091308,
109
+ 0.014072799682617187,
110
+ 0.013849632263183594,
111
+ 0.013946880340576171
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
112
  ],
113
+ "count": 70,
114
+ "total": 0.9999581470489503,
115
+ "mean": 0.014285116386413572,
116
+ "p50": 0.01410355234146118,
117
+ "p90": 0.014862233257293701,
118
+ "p95": 0.014990848159790038,
119
+ "p99": 0.015529523267745971,
120
+ "stdev": 0.0004517146708484755,
121
+ "stdev_": 3.162135040622397
122
  },
123
  "throughput": {
124
  "unit": "samples/s",
125
+ "value": 70.0029298291955
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
+ "cpu": 1.6859612955792094e-07,
130
+ "ram": 9.181671857449367e-08,
131
+ "gpu": 3.419760169295865e-07,
132
+ "total": 6.023888650620011e-07
133
  },
134
  "efficiency": {
135
  "unit": "samples/kWh",
136
+ "value": 1660057.2454092002
137
  }
138
  }
139
  }