Estimation application downloads and cost
Description
Linpack Benchmark
The LINPACK Benchmarks are a measure of a systems 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.
Read more
The LINPACK Benchmarks are a measure of a systems 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.
ASO analyse Linpack app for iPhone and iPad
# | Term | Store county | Place | Priority |
---|---|---|---|---|
1 | cpu benchmark | 9 | ⭐️⭐️ | |
2 | cpu tester | 12 | ||
3 | cpu test | 13 | ⭐️⭐️⭐️⭐️ |
Competitors of Linpack application
Application availability
Available in countries
Country | Price |
---|---|
Canada | free |
China | free |
France | free |
Germany | free |
Italy | free |
Netherlands | free |
Portugal | free |
Spain | free |
Poland | free |
UK | free |
India | free |
Japan | free |
Korea, Republic Of | free |
Poland | free |
Russia | free |
Turkey | free |
USA | free |
Korea, Republic Of | free |
Ukraine | free |