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All apps > Education > Mobile processor benchmark
Mobile processor benchmark icon

Mobile processor benchmark

Measure efficiency of multicore processor - or do you really need so many cores?
by Andrei Karpushonak
Google Play
Google Play
10+
Thousand
Installs
PREMIUM
Est. installs
PREMIUM
Recent installs
3.93
60
Rating
Unranked
Ranking
1
Libraries
2.1+
Android version
10/13/11
Last updated
2011
September
App age
79.5 KB
App size
Unrated
Maturity
Maturity
FREE
Price

Google Play Rating history and histogram

31
14
4
2
9

Changelog

  • Nov 1, 2015 Installs 10,000+ installs
  • Apr 26, 2013 Installs 5,000+ installs
  • Dec 22, 2011 Installs 1,000+ installs
  • Nov 14, 2011 Installs 500+ installs
  • Oct 13, 2011 Installs 100+ installs
  • Oct 13, 2011 Update Version 4.3
  • Oct 5, 2011 Update Version 4.0
  • Oct 5, 2011 Update Version 3.0
  • Oct 1, 2011 Installs 50+ installs
  • Sep 29, 2011 Update Version 2.0
  • Sep 23, 2011 New App Version 1.0 in Education for Free
View more View less

Developer information

Andrei Karpushonak

[email protected]

Website

N/A

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Description

Measure efficiency of multicore processor - or do you really need so many cores?

This is CPU benchmark which demonstrates processor characteristics and performs some heavy calculation using threads to present correlation to one or more processor cores.
Map reduce is used to calculate occurrences of 16K integers with range [1, 1000].

Code is available on Github: github.com/miktam/MultiCoreAndroid
Tags: processor, CPU, benchmark, speed, test, multithreaded, thread.

Recent changes:
Version 4.3:
Added settings for number of threads used in benchmark.
Bug fixes.

Version 4.2:
Changed layout, bug fixes.

Version 4.0:
Expanded menu with statistics and information about benchmark.

Version 3.0:
Introduced menu.

Version 2.0:
Introduced Map Reduce instead of Pi calculation.

Version 1.0:
Initial release
Measure efficiency of multicore processor - or do you really need so many cores?

This is CPU benchmark which demonstrates processor characteristics and performs some heavy calculation using threads to present correlation to one or more processor cores.
Map reduce is used to calculate occurrences of 16K integers with range [1, 1000].

Code is available on Github: github.com/miktam/MultiCoreAndroid
Tags: processor, CPU, benchmark, speed, test, multithreaded, thread.

Recent changes:
Version 4.3:
Added settings for number of threads used in benchmark.
Bug fixes.

Version 4.2:
Changed layout, bug fixes.

Version 4.0:
Expanded menu with statistics and information about benchmark.

Version 3.0:
Introduced menu.

Version 2.0:
Introduced Map Reduce instead of Pi calculation.

Version 1.0:
Initial release
Show full description Hide full description
benchmark calculate characteristics code cores correlation cpu demonstrates efficiency github heavy integers measure miktam multicore multicoreandroid multithreaded occurrences performs processor range really reduce tags thread

Comments

Tag cloud

atrix benchmark bionic core flags has only processor settings works

Positive comment tag cloud

app benchmark good name original processor specs stats unclear works

Negative comment tag cloud

atrix benchmark bionic core effect flags has motorola only settings

Google Play Rankings

This app is not ranked

Permissions

Network communication
view network connections, full network access

Libraries

Ad network libraries

AdMob

Social libraries

None found

Development tools

None found

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