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.ba...@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 > > > > > > > > _______________________________________________ > R-SIG-Mac mailing list > R-SIG-Mac@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-mac > _______________________________________________ R-SIG-Mac mailing list R-SIG-Mac@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-mac