[R-SIG-Mac] https://mac.r-project.org/benchmarks/

[Kieran Healy]

Thanks, Simon. 

With the vecLib/Accelerate BLAS, the results are indeed rather faster :)

Kieran


14” MacBook Pro / M1 Max

   R Benchmark 2.5
   ===============
Number of times each test is run__________________________:  3

   I. Matrix calculation
   ---------------------
Creation, transp., deformation of a 2500x2500 matrix (sec):  0.260999999999999
2400x2400 normal distributed random matrix ^1000____ (sec):  0.105
Sorting of 7,000,000 random values__________________ (sec):  0.595
2800x2800 cross-product matrix (b = a' * a)_________ (sec):  0.056666666666666
Linear regr. over a 3000x3000 matrix (c = a \ b')___ (sec):  0.0446666666666668
                      --------------------------------------------
                 Trimmed geom. mean (2 extremes eliminated):  0.115802825957684

   II. Matrix functions
   --------------------
FFT over 2,400,000 random values____________________ (sec):  0.0723333333333329
Eigenvalues of a 640x640 random matrix______________ (sec):  0.156666666666667
Determinant of a 2500x2500 random matrix____________ (sec):  0.098999999999999
Cholesky decomposition of a 3000x3000 matrix________ (sec):  0.0716666666666654
Inverse of a 1600x1600 random matrix________________ (sec):  0.082666666666667
                      --------------------------------------------
                Trimmed geom. mean (2 extremes eliminated):  0.0839655943753058

   III. Programmation
   ------------------
3,500,000 Fibonacci numbers calculation (vector calc)(sec):  0.0933333333333337
Creation of a 3000x3000 Hilbert matrix (matrix calc) (sec):  0.112333333333332
Grand common divisors of 400,000 pairs (recursion)__ (sec):  0.0776666666666657
Creation of a 500x500 Toeplitz matrix (loops)_______ (sec):  0.0173333333333332
Escoufier's method on a 45x45 matrix (mixed)________ (sec):  0.111999999999998
                      --------------------------------------------
                Trimmed geom. mean (2 extremes eliminated):  0.0932888677080541


Total time for all 15 tests_________________________ (sec):  1.95733333333333
Overall mean (sum of I, II and III trimmed means/3)_ (sec):  0.0968018035139188
                      --- End of test ---

> On Oct 31, 2021, at 9:03 PM, Simon Urbanek <simon.urbanek using R-project.org> wrote:
> 
> Kieran,
> 
> the reference benchmarks have been calibrated against vecLib/Accelerate BLAS. If you use reference BLAS it can be a lot slower. You can switch between reference BLAS and vecLib in R CRAN releases simply by switching the libRblas.dylib symlink (in $R_HOME/lib), e.g.:
> 
> ls -l /Library/Frameworks/R.framework/Resources/lib/libRblas*dylib
> -rwxrwxr-x  1 root     admin  226288 Oct 31 14:41 /Library/Frameworks/R.framework/Resources/lib/libRblas.0.dylib
> lrwxr-xr-x  1 root.    admin      21 Nov  1 09:56 /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib -> libRblas.vecLib.dylib
> -rwxrwxr-x  1 root     admin  154368 Oct 31 14:41 /Library/Frameworks/R.framework/Resources/lib/libRblas.vecLib.dylib
> 
> (For recent R you'll need R 4.1.1 or higher)
> 
> Cheers,
> Simon
> 
> PS: reminder to everyone, please test R 4.1.2 RC - now are the last few hours to report anything!
> 
>