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SugaR: Updated November, 13 2021.

For Windows, Android and Linux, NO MACOS!

 

Changelog: Update default net to nn-735bba95dec0.nnue.

You must use any of the below binaries in association with nn-735bba95dec0.nnue in the same folder.

 

SugaR

 

SugaR is a free, powerful UCI chess engine by Marco Zerbinati derived from Stockfish with the ability to learn and to use polyglot books. The experience is stored in a file called 'SugaR.exp', this can be defragmented by using a tool created by Kalhid Omar (the same one of Eman). SugaR is a strong engine for computer playing.

 

This edition includes:


Windows executables:

 - SugaR AI 2.40 64.exe for general 64-bit CPUs
 - SugaR AI 2.40 32-bit.exe for general 32-bit CPUs

Available only for members, subscribers and customers:
 - SugaR AI 2.40 avx2.exe for for 64-bit Windows systems and AMD processors of the type Excavator (and following), Zen, Zen+ - if you have a Threadripper this is the right choice
 - SugaR AI 2.40 bmi2.exe for 64-bit Windows systems and Intel processors of the type Haswell, Sandy Bridge, Ivy Bridge, Skylake, Broadwell
 - SugaR AI 2.40 modern.exe for modern machines on a 64bit Windows system (uses popcnt asm-instruction)
 - SugaR AI 2.40 sse3-popcnt.exe for machines using popcnt asm-instructions on a 64-bit Windows system having CPU Opteron (since Stepping E4), Sempron (since Palermo. Stepping E3), Athlon 64 (since Venice Stepping E3 and San Diego Stepping E4), Athlon 64 FX (since San Diego Stepping E4), Athlon 64 X2, Phenom 64 X2, Turion family, K10 family, APU family (including without GPU), FX Series, Zen, Zen+, Zen2, Celeron D, Celeron (starting with Core microarchitecture), Pentium 4 (since Prescott), Pentium D, Pentium Extreme Edition (but NOT Pentium 4 Extreme Edition), Pentium Dual-Core, Pentium (starting with Core microarchitecture), Intel Core, Intel Xeon (since Nocona), Intel Atom, VIA/Centaur C7, VIA/Centaur Nano, VIA/CentaurTransmeta Efficeon TM88xx (NOT Model Numbers TM86xx)
 - SugaR AI 2.40 sse41-popcnt.exe for machines using popcnt asm-instructions on a 32-bit Windows system having CPU Intel Core 2 or AMD Bulldozer-based FX CPUs

 

Linux binaries:

 - SugaR AI 2.40 64.exe for general 64-bit CPUs
 - SugaR AI 2.40 32-bit.exe for general 32-bit CPUs

Available only for members, subscribers and customers:
 - SugaR AI 2.40 avx2.exe for for 64-bit Linux systems and AMD processors of the type Excavator (and following), Zen, Zen+ - if you have a Threadripper this is the right choice
 - SugaR AI 2.40 bmi2.exe for 64-bit Linux systems and Intel processors of the type Haswell, Sandy Bridge, Ivy Bridge, Skylake, Broadwell
 - SugaR AI 2.40 modern.exe for modern machines on a 64bit Linux system (uses popcnt asm-instruction)
 - SugaR AI 2.40 sse3-popcnt.exe for machines using popcnt asm-instructions on a 64-bit Linux system having CPU Opteron (since Stepping E4), Sempron (since Palermo. Stepping E3), Athlon 64 (since Venice Stepping E3 and San Diego Stepping E4), Athlon 64 FX (since San Diego Stepping E4), Athlon 64 X2, Phenom 64 X2, Turion family, K10 family, APU family (including without GPU), FX Series, Zen, Zen+, Zen2, Celeron D, Celeron (starting with Core microarchitecture), Pentium 4 (since Prescott), Pentium D, Pentium Extreme Edition (but NOT Pentium 4 Extreme Edition), Pentium Dual-Core, Pentium (starting with Core microarchitecture), Intel Core, Intel Xeon (since Nocona), Intel Atom, VIA/Centaur C7, VIA/Centaur Nano, VIA/CentaurTransmeta Efficeon TM88xx (NOT Model Numbers TM86xx)
 - SugaR AI 2.40 sse41-popcnt.exe for machines using popcnt asm-instructions on a 32-bit Linux system having CPU Intel Core 2 or AMD Bulldozer-based FX CPUs

 

Android binaries:

 - SugaR_AI_2_40-armv7 for 32-bit Android operating systems

Available only for members, subscribers and customers:
 - SugaR_AI_2_40-armv8 for 64-bit Android operating systems

 

Windows and Linux compiles by Marco Zerbinati, Android compiles by me.

 

SugaR AI 2.40 x64.exe single processor benchmark:

 

SugaR AI 2.40 32bit.exe single processor benchmark:


Clear your browser cache to see the most updated benchmarks.

 

 

SugaR GitHub page.