Chess test AMD - Intel

[JPQY]

Time for a new Chess Bench Test:
We see finally a nice change in new coming CPU's..AMD Ryzen ,Threadripper ,Epyc and all these new Intel i9 CPU's ,Xeon's with more and more cores!
I give you two downloads from the strongest Chess engine in the world. A BMI2 version for Haswell cpu's or higher and a popcnt version
for older cpu's..no worries about dual/quad cpu systems..this engine can handle 32cpu's..i can change it to higher if needed
For the first AMD Ryzen cpu's gives the bmi2 version lower results then popcnt..bmi2 should give higher nodes/sec. but AMD told they will come with a fix..of course you can run the two to see the difference..and all data i get is welcome!

Dowload links Chess engine: asmFish is programmed into assembler and is Numa-aware! Only 114Kb and No install needed!

asmFishW_2017-05-22_bmi2.exe : https://mega.nz/#!uc52maZT!E7989naYl...N6tTQPfubUOyig

asmFishW_2017-05-22_popcnt.exe : https://mega.nz/#!HBZ30ILT!QYJnNFAUl..._A8sJ_V5BqU6XY

Linux version:

asmFishL_2017-05-22_bmi2.exe : https://mega.nz/#!iEwzGQ6C!c8qn8tQf4...E346mBNopILG7M

asmFishL_2017-05-22_popcnt.exe : https://mega.nz/#!aQpCGZjK!ZwPU2LBA9...LKIiPnd6ZZNxnY


How to run it:
Just dubble click asmFish bmi2 or popcnt.exe
and type: bench 1024 8 26 (Enter) -> just change 8 to the cores/threads you want to use!!
So if you have 24 threads then type: bench 1024 24 26
It will take a few minutes/sec. to complete
When done just copy data by right-click on top from this window->Edit->Select all
the data inside comes white color..press enter
Now you can just past it here in a message or you can send it to my e-mail,include also cpu name..and i make a list with the results in next message.

Here my run on a i7 5960x @4.5Ghz 8cores

asmFishW_2017-05-22_bmi2
bench 1024 8 26
*** bench hash 1024 threads 8 depth 26 realtime 0 ***
info string hash set to 1024 MB no large pages
info string node 0 has threads 0 1 2 3 4 5 6 7
1: nodes: 180219663 20470 knps
2: nodes: 473909082 22415 knps
3: nodes: 16715502 36496 knps
4: nodes: 84358891 25084 knps
5: nodes: 97756315 23017 knps
6: nodes: 175678913 22396 knps
7: nodes: 104067603 23582 knps
8: nodes: 532046522 23532 knps
9: nodes: 466448055 22312 knps
10: nodes: 61332683 25835 knps
11: nodes: 401303706 21779 knps
12: nodes: 291536588 21320 knps
13: nodes: 55004320 24855 knps
14: nodes: 231336902 22239 knps
15: nodes: 69765681 25734 knps
16: nodes: 46807180 30916 knps
17: nodes: 26504681 39500 knps
18: nodes: 10038420 38168 knps
19: nodes: 36598907 41168 knps
20: nodes: 128865752 42154 knps
21: nodes: 11404475 43695 knps
22: nodes: 4463599 53778 knps
23: nodes: 27753159 49382 knps
24: nodes: 16778270 32706 knps
25: nodes: 20368074 43896 knps
26: nodes: 3954842 33802 knps
27: nodes: 14161989 34881 knps
28: nodes: 96368300 29497 knps
29: nodes: 12223610 27468 knps
30: nodes: 8322599 36343 knps
31: nodes: 3297451 45170 knps
32: nodes: 2404699 40078 knps
33: nodes: 1611088 41309 knps
34: nodes: 6527229 38852 knps
35: nodes: 2702231 37530 knps
36: nodes: 1011618 43983 knps
37: nodes: 3133350 34815 knps
===========================
Total time (ms) : 156851
Nodes searched : 3726781949
Nodes/second : 23760013