Linpack
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1.5.1for iPhone, iPad and more
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Linpack 螢幕截圖
About Linpack
Linpack Benchmark
The LINPACK Benchmarks are a measure of a system's floating point computing power. They measure how fast a computer solves a dense N by N system of linear equations Ax = b, which is a common task in engineering. The solution is obtained by Gaussian elimination with partial pivoting, with 2/3·N3 + 2·N2 floating point operations. The result is reported in millions of floating point operations per second (MFLOP/s, sometimes simply called FLOPS).
Results.
Mflop/s:
Millions of floating point operations per second. A floating point operation here is a floating point addition or a floating point multiplication with 64 bit operands. For this problem there are 2/3 n^3 + n^2 floating point operations.
Time:
The time in seconds to solve the problem, Ax=b.
Norm Res:
A check is made to show that the computed solution is correct. The test is based on || Ax - b || / ( || A || || x || eps) where eps is described below. The Norm Res should be about O(1) in size. If this quantity is much larger than 1, the solution is probably incorrect.
Precision:
The relative machine precision usually the smallest positive number such that fl( 1.0 - eps ) < 1.0, where fl denotes the computed value and eps is the relative machine precision.
The LINPACK Benchmarks are a measure of a system's floating point computing power. They measure how fast a computer solves a dense N by N system of linear equations Ax = b, which is a common task in engineering. The solution is obtained by Gaussian elimination with partial pivoting, with 2/3·N3 + 2·N2 floating point operations. The result is reported in millions of floating point operations per second (MFLOP/s, sometimes simply called FLOPS).
Results.
Mflop/s:
Millions of floating point operations per second. A floating point operation here is a floating point addition or a floating point multiplication with 64 bit operands. For this problem there are 2/3 n^3 + n^2 floating point operations.
Time:
The time in seconds to solve the problem, Ax=b.
Norm Res:
A check is made to show that the computed solution is correct. The test is based on || Ax - b || / ( || A || || x || eps) where eps is described below. The Norm Res should be about O(1) in size. If this quantity is much larger than 1, the solution is probably incorrect.
Precision:
The relative machine precision usually the smallest positive number such that fl( 1.0 - eps ) < 1.0, where fl denotes the computed value and eps is the relative machine precision.
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最新版本1.5.1更新日誌
Last updated on 2017年09月15日
歷史版本
This app has been updated by Apple to display the Apple Watch app icon.
support upcoming hardware and new iOS version
support upcoming hardware and new iOS version
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Version History
1.5.1
2017年09月15日
This app has been updated by Apple to display the Apple Watch app icon.
support upcoming hardware and new iOS version
support upcoming hardware and new iOS version
1.5
2017年09月05日
support new iOS versions
1.4
2014年10月04日
iOS 8 support
A8 optimization
A8 optimization
1.3.1
2013年11月27日
optimization for A7
1.3
2013年09月13日
iOS 7 support
1.2
2012年09月22日
iPhone 5 and iPod Touch 5 Gen support
1.1
2012年03月26日
- adapted for iPad
- multithread mode (multicore CPU support)
- using high precision timer
- built with LLVM compiler
- multithread mode (multicore CPU support)
- using high precision timer
- built with LLVM compiler
1.01
2010年07月22日
iAd support
1.0
2010年07月12日
Linpack FAQ
點擊此處瞭解如何在受限國家或地區下載Linpack。
以下為Linpack的最低配置要求。
iPhone
須使用 iOS 8.0 或以上版本。
iPad
須使用 iPadOS 8.0 或以上版本。
iPod touch
須使用 iOS 8.0 或以上版本。
Linpack支持英文