This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English version of the page.

Note: This page has been translated by MathWorks. Click here to see
To view all translated materials including this page, select Country from the country navigator on the bottom of this page.


MATLAB benchmark


t = bench(N)


bench measures the execution speed of six different MATLAB® tasks and compares it to the speed of several other computers. The six tasks are:

TestDescriptionPerformance Factors
LUPerform lu of a full matrixFloating-point, regular memory access
FFTPerform fft of a full vectorFloating-point, irregular memory access
ODESolve van der Pol equation with ode45Data structures and MATLAB function files
SparseSolve a symmetric sparse linear systemMixed integer and floating-point
2-DPlot Lissajous curves2-D line drawing graphics
3-DDisplay colormapped peaks with clipping and transforms 3-D animated OpenGL graphics

A final bar chart shows speed, which is inversely proportional to time. The longer bars represent faster machines, and the shorter bars represent the slower ones.

bench(N) runs each of the six tasks N times.

bench(0) just displays the results from other machines.

t = bench(N) returns an N-by-6 array with the execution times.



A benchmark is intended to compare performance of one particular version of MATLAB on different machines. It does not offer direct comparisons between different versions of MATLAB because tasks and problem sizes change from version to version.

The LU and FFT tasks involve large matrices and long vectors. The 2-D and 3-D tasks measure graphics performance, including software or hardware support for OpenGL®. The command

opengl info

describes the OpenGL support available on a particular machine.

Fluctuations of five or ten percent in the measured times of repeated runs on a single machine are normal.

Introduced in R2008a