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

[Simon Urbanek]

Tim,

that is a great idea, those test are really old. Just for the fun of it I have run the tests on my old iMac, but with R 4.1.2 and they still work.
It's nice to see the huge speed improvements in loops and similar (see below - recall the original tests were scaled to be around 1).

I have added the page to the repo
https://github.com/R-macos/R-mac-dev
so I'd be happy to review PRs, but I'll probably want to re-do it first so it is better organized for comparisons as we have to also accommodate M1 etc.

Cheers,
Simon

---
iMac14,2 3.2Ghz i5, macOS 10.4.6, R 4.1.2 vecib/Accelerate BLAS


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

   I. Matrix calculation
   ---------------------
Creation, transp., deformation of a 2500x2500 matrix (sec):  0.829666666666667 
2400x2400 normal distributed random matrix ^1000____ (sec):  0.155333333333334 
Sorting of 7,000,000 random values__________________ (sec):  0.638333333333334 
2800x2800 cross-product matrix (b = a' * a)_________ (sec):  0.242000000000001 
Linear regr. over a 3000x3000 matrix (c = a \ b')___ (sec):  0.170999999999999 
                      --------------------------------------------
                 Trimmed geom. mean (2 extremes eliminated):  0.29781941072597 

   II. Matrix functions
   --------------------
FFT over 2,400,000 random values____________________ (sec):  0.331333333333333 
Eigenvalues of a 640x640 random matrix______________ (sec):  0.347000000000001 
Determinant of a 2500x2500 random matrix____________ (sec):  0.207000000000001 
Cholesky decomposition of a 3000x3000 matrix________ (sec):  0.254333333333334 
Inverse of a 1600x1600 random matrix________________ (sec):  0.345666666666663 
                      --------------------------------------------
                Trimmed geom. mean (2 extremes eliminated):  0.307686639256803 

   III. Programmation
   ------------------
3,500,000 Fibonacci numbers calculation (vector calc)(sec):  0.245 
Creation of a 3000x3000 Hilbert matrix (matrix calc) (sec):  0.289666666666669 
Grand common divisors of 400,000 pairs (recursion)__ (sec):  0.259333333333331 
Creation of a 500x500 Toeplitz matrix (loops)_______ (sec):  0.0400000000000015 
Escoufier's method on a 45x45 matrix (mixed)________ (sec):  0.263000000000005 
                      --------------------------------------------
                Trimmed geom. mean (2 extremes eliminated):  0.255658395143118 


Total time for all 15 tests_________________________ (sec):  4.61866666666667 
Overall mean (sum of I, II and III trimmed means/3)_ (sec):  0.286136920519432 
                      --- End of test ---



> On Nov 1, 2021, at 2:48 AM, Tim Bates <timothy.c.bates using gmail.com> wrote:
> 
> I wonder if this (2008/R 2.7) page could be updated with some current benchmark runs?
> 
> Especially current Intel server chips, i9, and M1/+ 
> 
> I'm guessing if Simon could help upload the resulting updated page, people here could contribute bench mark runs on different hardware.
> 
> 
> Also be interesting to see different blas results.
> 
> I wonder if either intel or arm chip "neural" cores (dot product engines?) or multi-core and GPU are being used in current R builds?
> 
> tim
> 
> 
> 
> 
> 
> 
> 
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