This is nncache, i.e. nn evals cached. Should all be the same. Just the method of how the nn eval is computed is via blas (cpu), opencl (non-nvidia) or cuda (nvidia).
Results so far and conditions, games, stats...Guenther wrote: ↑Mon Feb 11, 2019 8:03 pm
With the 112*9se network nps increases may be by a factor of 5-6.
But this is not the only positive aspect. Due to passive cooling it always went too hot before even with an open case,
while it now runs around 10-15 degrees lower in non bullet games.
Currently testing against Laser 1.7.
Code: Select all
# PLAYER : RATING ERROR POINTS PLAYED (%) W D L
1 Laser_17-64 : 3268.33 136.18 13.5 20 67.50 10 7 3
2 Nirvanachess_24-64 : 3210.22 125.81 12.0 20 60.00 11 2 7
3 Nemorino_500-64 : 3210.22 125.49 12.0 20 60.00 8 8 4
4 Xiphos_04-64 : 3191.77 134.54 11.5 20 57.50 9 5 6
5 Chess22k_112-64 : 3173.60 126.31 11.0 20 55.00 7 8 5
6 Senpai_20-64 : 3137.71 126.70 10.0 20 50.00 7 6 7
7 ArasanX_212-64 : 3137.71 123.17 10.0 20 50.00 7 6 7
8 LC0_0202-ID11258#112x9 : 3137.71 40.29 109.0 212 51.42 77 64 71
9 Rofchade_20-64 : 3083.64 128.30 8.5 20 42.50 6 5 9
10 Pedone_18-64 : 3007.08 131.65 6.5 20 32.50 2 9 9
11 SmarThink_198-64 : 2941.55 200.36 3.0 12 25.00 2 2 8
12 Wasp_350-64 : 2941.55 144.79 5.0 20 25.00 2 6 12
White advantage = 50.38 +/- 21.84
Draw rate (equal opponents) = 32.48 % +/- 3.56