Linpack Downloads & RevenueLinpack · App Store
Not in any tracked top chart right now.
Updated 7 Nov 2026 · rankings refresh through the day
DeveloperAlexey Solovyov
CategoryUtilities
PriceFree
Released
Rating★ 4.7 (6)
Version1.5.1
Age rating4+
First seen by us
23 Oct 2026
23 Oct 2026Full timeline · 2 events in the last 12 months
- 🆕Linpack first spotted by AppInsiderRussia (found via developer)
- 🆕Linpack released on the App Store
Collected from the stores by AppInsider since we first spotted the app. Dates are when we saw each change.
Rating
4.7 ★
6 ratings
Measured
Linpack on the App Store
App details
App ID
380883195
Publisher
Alexey Solovyov
On the store since
Jul 2010
16 years on the store
Minimum OS
iOS 8.0+
iPhone 4s and later
Devices
iPhone · iPad · Watch
Universal purchase
Content rating
4+
Languages
1
EN
Size
6 MB
Where it ranks now
Every top chart it appears in across 30 countries.
| Country | Charts | Rank |
|---|---|---|
| Not charting right now. | ||
Ratings
App Store, worldwide.
Rating
4.7 ★
6 ratings
Measured
Ratings
6
Measured
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.
Latest updates
1.5.1
support upcoming hardware and new iOS version
