Adrian Oliva

Adrian Oliva · Post by **Adrian Oliva** » Mon Dec 11, 2023 1:32 pm

Killfish 071223_AVX2 Dual Net vs. CorChess 4 AVX2 04 December 2023

Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Perfect 2023 ctg - Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Killfish: nn-0000000000a0.nnue - nn-9067e33176e8.nnue - CorChess: nn-0000000000a0.nnue

Book Settings:

1.Tournament ON
2.Min games 0-35
3.Variety of play 150
4.Influence of learn 100
5.Learning strength 500

DESKTOP-TORM2PL, Blitz 4min+1seg 0

1 Killfish 071223_AVX2 +1/=310/-1 50.00% 156.0/312 7952.00
2 CorChess 4 +1/=310/-1 50.00% 156.0/312 7952.00

Games in PGN: https://www.mediafire.com/file/dv62et8n ... 0.pgn/file

Skynet · Post by **Skynet** » Mon Dec 11, 2023 11:17 pm

APOCALYPSE wrote: ↑Sun Dec 10, 2023 1:35 am It doesn't matter what year it is, I just want to say that the results with Ponder disabled are worse than with Ponder enabled.

Of course it matters, just try today's SF NNUE. Also if i remember correctly this test was made in two separate PCs via adapter (or something), so there is a lot inaccuracies, this test can be made on same PC in CuteChess via batch file command. Btw, Cris (aka deeds) made this test on Outskirts time ago and results was completely opposed.

Adrian Oliva · Post by **Adrian Oliva** » Wed Dec 13, 2023 4:39 pm

Cool Iris 11.70_AVX2 vs. Patzer AI X-256_avx2

Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Mercurio 2 Opening Suite 8 ctg - Final Tablebases: Syzygy 3-4-5 pieces – NNUE: nn-0000000000a0.nnue for Both Engines - Patzer and Cool Iris Experience On - Patzer Learning from 0 - Cool Iris Learning from Original File 1kb

Book Settings:

1.Tournament ON
2.Min games 0-8
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500

DESKTOP-TORM2PL, Blitz 4min+1seg 0

1 Patzer AI X-256_avx2 +5/=380/-5 50.00% 195.0/390 5257.00
2 Cool Iris 11.70_AVX2 +5/=380/-5 50.00% 195.0/390 5257.00

Games in PGN: https://www.mediafire.com/file/lbhnjl3c ... 1.pgn/file

Adrian Oliva · Post by **Adrian Oliva** » Fri Dec 15, 2023 11:21 am

SF PB 101223 AVX2 vs. Dark 1.0_avx2

Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book:OliBiyu SP Opening Suite ctg - Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Stockfish PB: nn-0000000000a0.nnue - Dark 1.0: nn-8cac9dd1eeda.nnue

Book Settings:

1.Tournament ON
2.Min games 1-16
3.Variety of play 150
4.Influence of learn 100
5.Learning strength 500

DESKTOP-TORM2PL, Blitz 4min+1seg 0

1 SF PB 101223 AVX2 +5 +5/=311/-0 50.79% 160.5/316
2 Dark 1.0_avx2 -5 +0/=311/-5 49.21% 155.5/316

Games in PGN: https://www.mediafire.com/file/oa5zxhjt ... 2.pgn/file

Congratulations Skynet!

Adrian Oliva · Post by **Adrian Oliva** » Sun Dec 17, 2023 12:54 am

TACTICAL 111223 AVX2 vs. Patzer AI X-256_avx2

Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: OliBiyu 5.1 Suite ctg - Final Tablebases: Syzygy 3-4-5 pieces – NNUE: nn-0000000000a0.nnue for Both Engines - Patzer and Tactical Experience On - Patzer Learning from 0 - Tatical Learning from Original File 1kb

Book Settings:

1.Tournament ON
2.Min games 3-35
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500

DESKTOP-TORM2PL, Blitz 4min+1seg 0

1 TACTICAL 111223 AVX2 +0/=338/-0 50.00% 169.0/338 -4207.00
2 Patzer AI X-256_avx2 +0/=338/-0 50.00% 169.0/338 -4207.00

Games in PGN: https://www.mediafire.com/file/aj7yo6bm ... 3.pgn/file

Anton101 · Post by **Anton101** » Sun Dec 17, 2023 2:51 am

Many thanks Adrian!

Congrats to OrgZ.

Patzer is a beast!

Best regards;

Orgz · Post by **Orgz** » Sun Dec 17, 2023 1:14 pm

Am sure your newer updates will overpower him buddy....though he is not based on strength

Adrian Oliva · Post by **Adrian Oliva** » Sun Dec 24, 2023 4:45 am

SF PB 101223 AVX2 vs. CorChess 4 AVX2 December 19 - 2023

Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - OliBiyu 10.4 Opening Suite ctg - Final Tablebases: Syzygy 3-4-5 pieces – NNUE: nn-0000000000a0.nnue for Both Engines

Book Settings:

1.Tournament ON
2.Min games 0-10
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500

DESKTOP-TORM2PL, Blitz 4min+1seg 0

1 SF PB 101223 AVX2 +7/=316/-7 50.00% 165.0/330 -5543.00
2 CorChess 4 +7/=316/-7 50.00% 165.0/330 -5543.00

Games in PGN: https://www.mediafire.com/file/h1kxs2nx ... 4.pgn/file

Adrian Oliva · Post by **Adrian Oliva** » Mon Dec 25, 2023 3:30 pm

Fireball bin (Skynet) vs. Dozy Butt 2 bin (Janus)

Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit Operating System - x64 processor - Windows 10 Pro - 1024 mb hash – Fritz 16 GUI – Permanent Brain: OFF - Both Engines play with 4 threads and large pages - Opening Books: Fireball bin vs. Dozy Butt 2 bin - Final Tablebases: Syzygy 3-4-5 pieces - NNUE: Stockfish PB: nn-0000000000a0.nnue

Book Settings

Fireball bin:

Best Book Move OFF
Book Depth 255

Dozy Butt 2 bin:

Best Book Move OFF
Book Depth 40

DESKTOP-TORM2PL, Blitz 4min+1seg 0

1 SF PB 101223 Dozy Butt 2 bin +2 +2/=304/-0 50.33% 154.0/306
2 SF PB 101223 Fireball bin -2 +0/=304/-2 49.67% 152.0/306

Games in PGN: https://www.mediafire.com/file/v367gf5k ... n.pgn/file

Congratulations Janus!

Adrian Oliva · Post by **Adrian Oliva** » Wed Dec 27, 2023 2:46 am

Vanilla v15_avx2 vs. TACTICAL 161223_AVX2

Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - GM Test Book v3 ctg - Final Tablebases: Syzygy 3-4-5 pieces – NNUE: nn-0000000000a0.nnue for Both Engines - Vanilla and Tactical Experience On - Vanilla Learning from 0 - Tatical Learning from Original File 1kb

Book Settings:

1.Tournament UNCHECKED
2.Min games 3-35
3.Variety of play 215
4.Influence of learn 0
5.Learning strength 0

DESKTOP-TORM2PL, Blitz 4min+1seg 0

1 Vanilla v15_avx2 +2 +6/=296/-4 50.33% 154.0/306
2 TACTICAL 161223_AVX2 -2 +4/=296/-6 49.67% 152.0/306

Games in PGN: https://www.mediafire.com/file/6nmn8as0 ... 5.pgn/file

Congratulations Team JaR Heads!

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