t = bench(N)
bench times six different MATLAB® tasks
and compares the execution speed with the speed of several other computers.
The six tasks are:
|LU||Perform LU of a full matrix||Floating-point, regular memory access|
|FFT||Perform FFT of a full vector||Floating-point, irregular memory access|
|ODE||Solve van der Pol equation with ODE45||Data structures and MATLAB function files|
|Sparse||Solve a symmetric sparse linear system||Mixed integer and floating-point|
|2-D||Plot Lissajous curves||2-D line drawing graphics|
|3-D||Display colormapped ||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
t = bench(N) returns an N-by-6 array with
the execution times.
Note: 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
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.