Last mt addon's version (0.10.0) got benchmarking capability, too. I've tried 
it for J805 vs J806 comparison.

Host: CPU: Intel i7-4790, RAM: 16 Gb

J805 version: j805/j64/linux/release/commercial/www.jsoftware.com/
2016-12-11T08:02:52

J806 version: j64avx/linux/beta-1/commercial/www.jsoftware.com/
2017-03-09T10:14:43

Overall benchmark:
  matrix size  speed-up ratio
  100          0.98x
  150          0.97x
  200          0.99x
  300          0.98x
  400          0.98x
  500          1.03x
So overall performance remains essentially unchanged.

Per-verb one-to-one speed-up ratios reveals a performance redistribution 
inside each overall benchmark. Say, speed-up ratios for n=500 are varying from 
0.25x to 3.89x, has average 1.24x and forms 3 clusters:
centroid value  verbs in cluster
0.28x            12 of 235 ( 5%)
0.96x           170 of 235 (72%)
2.35x            53 of 235 (23%)

Most speed-ups are noted in gq/q, mq/q, pow, qf/q and tri verb groups. Which 
are heavily based on matrix product, are mainly row-wise and has minimal 
housekeeping work.

Most slow-downs are noted in gq/z, mq/z, qf/z verb groups.

Result from brand J benchmark:

   'i7-4790_J806avx' show_tests 'i7-4790_J805'
intsr  intbr  char   float  float0 test
  1.49   2.42   4.23   1.08   3.09 a i. a
 14.87  14.97  25.37   2.06  21.23 a i. b
  3.61   8.03   8.37   5.28  10.92 b i. a
  3.89   9.32   8.26   5.52  13.17 a e. b
  7.81  14.46  23.59   2.04  21.41 b e. a
  4.01   9.13   8.28   5.40  12.45 a (+/@:e.) b
  3.35   6.85   8.18  38.22  13.13 a (e. i. 1:) b
  2.18   2.44   3.67   1.05   1.05 ~.a
  2.31   2.48   3.93   1.06   1.05 ~:a
  2.92   5.00   1.43   1.07   1.07 /:a
  1.81   1.34   1.39   1.06   1.07 /:~a
                                   
intsr  intbr  char   float  float0 test
  1.63   3.66   4.77   1.20   5.33 a i. a
  3.46   4.90   8.29   3.19   8.33 a i. b
  4.10   8.67   8.13   5.52  12.28 b i. a
  4.29   9.08   8.12   5.25  12.90 a e. b
  3.13   4.97   8.04   3.18   8.26 b e. a
  4.03   9.59   8.26   5.17  12.89 a (+/@:e.) b
  1.06   3.65   7.08  17.05  13.05 a (e. i. 1:) b
  1.47   3.50   4.05   1.19   1.18 ~.a
  1.37   3.54   4.87   1.26   1.24 ~:a
  1.14   1.13   1.33   1.14   1.12 /:a
  1.53   1.16   1.37   1.14   1.11 /:~a

matrix multiply  4.33

--
WBR
Igor

> On Mar 12, 2017, at 4:35 PM, Eric Iverson <[email protected]> wrote:
> ...
> If you report an avx benchmark, please indicate the processor, as this
> gives useful perspective.

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