Battery Impact of Individual Hardware Sensors in Modern iPhone Devices

Name: Battery Impact of Individual Hardware Sensors in Modern iPhone Devices
Published: 2026-05-08
License: http://creativecommons.org/licenses/by/4.0

Open this dataset in the live repository

Important usage condition: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.

Persistent identifier: doi:10.60507/FK2/LSJGWW
Published version: 1.0
Publication date: 2026-05-08
License: CC BY 4.0

Description

Our research proposes a new reproducible and low-cost hardware and software testing protocol to evaluate the battery impact of individual sensors in modern iPhone devices. In the accompanying publication (DOI:), we introduce and explain the protocol in detail. Next, we ran 29 experiments based on the protocol, carried out on 9 iPhone devices running iOS 16.6. This dataset includes the collected battery data for those experiments.

Creators

Schweizer, Florian
Yu, Joe
Mille, Elena
Reimer, Lara Marie
Kapsecker, Maximilian
Klinker, Jens
Jonas, Stephan M.

Keywords

Smartphone sensors

Files

Before downloading: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.

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Citation

Schweizer, Florian; Yu, Joe; Mille, Elena; Reimer, Lara Marie; Kapsecker, Maximilian; Klinker, Jens; Jonas, Stephan M., 2026-05-08, Battery Impact of Individual Hardware Sensors in Modern iPhone Devices, doi:10.60507/FK2/LSJGWW, V1.0

Additional Dataverse fields

Id	606
Dataset Type	dataset
Internal Version Number	37
Latest Version Publishing State	RELEASED
Release Time	2026-05-08T14:49:46Z
Create Time	2026-03-03T07:31:40Z
Citation Date	2026-05-08
File Access Request	True

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title

Battery Impact of Individual Hardware Sensors in Modern iPhone Devices

Author author

Author Name
Schweizer, Florian
Author Affiliation
University of Bonn, University Hospital Bonn, Institute for Digital Medicine
Author Identifier Scheme
ORCID
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Person Name
Schweizer, Florian
@id
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Scheme
ORCID
@type
https://schema.org/Person
Author Name
Yu, Joe
Author Affiliation
TUM School of Computation, Information, and Technology, Technical University Munich
Author Identifier Scheme
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Yu, Joe
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Scheme
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Author Name
Mille, Elena
Author Affiliation
TUM School of Computation, Information, and Technology, Technical University Munich
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Type Name
authorIdentifier
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Mille, Elena
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Scheme
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@type
https://schema.org/Person
Author Name
Reimer, Lara Marie
Author Affiliation
University of Bonn, University Hospital Bonn, Institute for Digital Medicine
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authorIdentifier
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Reimer, Lara Marie
@id
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Scheme
ORCID
@type
https://schema.org/Person
Author Name
Kapsecker, Maximilian
Author Affiliation
TUM School of Computation, Information, and Technology, Technical University Munich
Author Identifier Scheme
ORCID
Author Identifier
Type Name
authorIdentifier
Multiple
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Type Class
primitive
Value
https://orcid.org/0000-0002-3907-0749
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Person Name
Kapsecker, Maximilian
@id
https://orcid.org/0000-0002-3907-0749
Scheme
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@type
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Author Name
Klinker, Jens
Author Affiliation
TUM School of Computation, Information, and Technology, Technical University Munich
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Type Name
authorIdentifier
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Type Class
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Value
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Expandedvalue
Person Name
Klinker, Jens
@id
https://orcid.org/0009-0003-1054-8117
Scheme
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@type
https://schema.org/Person
Author Name
Jonas, Stephan M.
Author Affiliation
University of Bonn, University Hospital Bonn, Institute for Digital Medicine
Author Identifier Scheme
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Type Name
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Value
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Person Name
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Dataset Contact datasetContact

Dataset Contact Name
Schweizer, Florian
Dataset Contact Affiliation
University of Bonn, University Hospital Bonn, Institute for Digital Medicine
Dataset Contact Email
florian.schweizer@tum.de
Dataset Contact Name
Jonas, Stephan M.
Dataset Contact Affiliation
University of Bonn, University Hospital Bonn, Institute for Digital Medicine
Dataset Contact Email
stephan.jonas@ukbonn.de

Ds Description dsDescription

Ds Description Value
Our research proposes a new reproducible and low-cost hardware and software testing protocol to evaluate the battery impact of individual sensors in modern iPhone devices. In the accompanying publication (DOI:), we introduce and explain the protocol in detail. Next, we ran 29 experiments based on the protocol, carried out on 9 iPhone devices running iOS 16.6. This dataset includes the collected battery data for those experiments.

Subject subject

Computer and Information Science

Free Keyword freeKeyword

Free Keyword Value
Smartphone sensors

Topic Classification topicClassification

Topic Class Key
Q108541719
Topic Class Value
iPhone 13 Pro
Topic Class Vocab
Wikidata
Topic Class Vocab URI
https://www.wikidata.org/w/index.php?title=Q108541719&oldid=2449589369
Topic Class Key
Q113800722
Topic Class Value
iPhone 14 Pro
Topic Class Vocab
Wikidata
Topic Class Vocab URI
https://www.wikidata.org/w/index.php?title=Q113800722&oldid=2447943001
Topic Class Key
Q167676
Topic Class Value
sensor
Topic Class Vocab
Wikidata
Topic Class Vocab URI
https://www.wikidata.org/w/index.php?title=Q167676&oldid=2456318830
Topic Class Key
Q105482243
Topic Class Value
battery life
Topic Class Vocab
Wikidata
Topic Class Vocab URI
https://www.wikidata.org/w/index.php?title=Q105482243&oldid=2409806111
Topic Class Key
Q112252770
Topic Class Value
iOS 16
Topic Class Vocab
Wikidata
Topic Class Vocab URI
https://www.wikidata.org/w/index.php?title=Q112252770&oldid=2460355382

Publication publication

Publication Relation Type
IsSupplementTo
Publication Citation
Schweizer, F., Yu, J., Mille, E., Reimer, L. M., Kapsecker, M., Klinker, J., & Jonas, S. (2026). Smartphone Sensor Battery Consumption: A Standardized and Reproducible Test Protocol. Sensors, 26(10), 2923. https://doi.org/10.3390/s26102923
Publication IDType
doi
Publication IDNumber
10.3390/s26102923
Publication URL
https://doi.org/10.3390/s26102923
Publication Relation Type
References
Publication Citation
Florian Schweizer. (2026). digital-medicine/BatteryTest: Study Release 1.0 (v1.0-study-release). Zenodo. https://doi.org/10.5281/zenodo.18800055
Publication IDType
doi
Publication IDNumber
10.5281/zenodo.18800055
Publication URL
https://doi.org/10.5281/zenodo.18800055

Language language

English

Contributor contributor

Contributor Type
Researcher
Contributor Name
Schweizer, Florian
Contributor Type
Data Collector
Contributor Name
Yu, Joe
Contributor Type
Data Collector
Contributor Name
Mille, Elena
Contributor Type
Editor
Contributor Name
Reimer, Lara Marie
Contributor Type
Researcher
Contributor Name
Kapsecker, Maximilian
Contributor Type
Project Leader
Contributor Name
Klinker, Jens
Contributor Type
Supervisor
Contributor Name
Jonas, Stephan M.

Grant Number grantNumber

Grant Number Agency
German Federal Ministry of Education and Research (BMBF)
Grant Number Value
01IS17049

Depositor depositor

Rabenstein, Michael

Date Of Deposit dateOfDeposit

2026-03-03

Date Of Collection dateOfCollection

Date Of Collection Start
2023-08-16
Date Of Collection End
2023-11-30

Kind Of Data kindOfData

Smartphone sensor data
JSON
machine readable

Software software

Software Name
BatteryTest
Software Version
v1.0-study-release

Related Material relatedMaterial

BatteryTest application source code: https://doi.org/10.5281/zenodo.18800055

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