Thanks for Scorpio Mr. Shawul.
I have a GTX 1660 ti, and here my bench with sm=96 (the 1660 ti has 24 sm cores) for INT8:
Code: Select all
PS C:\Users\redoi\OneDrive\Documents\ENGINES\SHAWUL\Scorpio\bin\Windows> ./scorpio.bat go quit
feature done=0
Number of cores 8 of 8
treeht 83886080 X 320 = 25600.0 MB
processors [96]
ht 67108864 X 16 = 1024.0 MB
eht 262144 X 8 X 96 = 384.0 MB
pht 32768 X 24 X 96 = 72.0 MB
EgbbProbe 4.3 by Daniel Shawul
egbb_cache 4084 X 8216 = 32.0 MB
180 egbbs loaded !
nn_cache 131072 X 1568 = 196.0 MB
Loading neural network : C:\Users\redoi\OneDrive\Documents\ENGINES\SHAWUL\Scorpio\nets-scorpio/ens-net-20x256.uff
With "INT8" precision
Loading graph on /gpu:0
0. main_input 2048 = 32 8 8
1. policy/Reshape 1024 = 1024 1 1
2. value/BiasAdd 3 = 3 1 1
Neural network loaded !
nn_cache 131072 X 1568 = 196.0 MB
Loading neural network : C:\Users\redoi\OneDrive\Documents\ENGINES\SHAWUL\Scorpio\nets-maddex/ME.uff
With "INT8" precision
Loading graph on /gpu:0
0. main_input 7168 = 112 8 8
1. value_head 3 = 3 1 1
2. policy_head 1858 = 1858 1 1
Neural network loaded !
loading_time = 3s
# rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1
# [st = 13336ms, mt = 29250ms , hply = 0 , moves_left 10]
32 29 92 6713 32 7257 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 Ng8-f6 Ke1-g1 Nf6xe4 Rf1-e1 Ne4-d6 Nf3xe5 Bf8-e7 Bb5-f1 Nc6xe5 Re1xe5 Ke8-g8 d2-d4 Be7-f6 Re5-e1 Rf8-e8 c2-c3 Re8xe1 Qd1xe1 Nd6-e8 Bc1-f4 d7-d5 Nb1-d2 c7-c6 Bf1-d3
33 29 187 14641 33 7808 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Bf8-e7 Rf1-e1 b7-b5 Ba4-b3 d7-d6 c2-c3 Ke8-g8 h2-h3 Bc8-b7 d2-d4 Rf8-e8 Nb1-d2 Be7-f8 a2-a4 h7-h6 Bb3-c2 Ra8-b8
34 29 281 22787 34 8083 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Bf8-e7 Rf1-e1 b7-b5 Ba4-b3 d7-d6 c2-c3 Ke8-g8 h2-h3 Bc8-b7 d2-d4 Rf8-e8 Nb1-d2 Be7-f8 a2-a4 h7-h6 Bb3-c2 Ra8-b8 Bc2-b1
35 29 377 31032 35 8218 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Nf6xe4 d2-d4 b7-b5 Ba4-b3 d7-d5 d4xe5 Bc8-e6 c2-c3 Bf8-e7 Nb1-d2 Ne4-c5 Bb3-c2 d5-d4 Nd2-b3 d4xc3 Nb3xc5 Be7xc5 Bc2-e4 Qd8-d7 b2xc3 Ra8-d8 Qd1xd7 Be6xd7
36 28 472 39346 36 8320 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Nf6xe4 d2-d4 b7-b5 Ba4-b3 d7-d5 d4xe5 Bc8-e6 c2-c3 Bf8-e7 Nb1-d2 Ne4-c5 Bb3-c2 d5-d4 Nd2-b3 d4-d3 Nb3xc5 d3xc2 Qd1xd8 Ra8xd8 Nc5xe6 f7xe6 Bc1-e3 Rd8-d5
37 28 566 47392 37 8368 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Nf6xe4 d2-d4 b7-b5 Ba4-b3 d7-d5 d4xe5 Bc8-e6 c2-c3 Bf8-e7 Nb1-d2 Ne4-c5 Bb3-c2 d5-d4 Nd2-b3 d4-d3 Nb3xc5 d3xc2 Qd1xd8 Ra8xd8 Nc5xe6 f7xe6 Bc1-e3 Rd8-d5
38 28 662 56207 38 8489 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Nf6xe4 d2-d4 b7-b5 Ba4-b3 d7-d5 d4xe5 Bc8-e6 c2-c3 Bf8-e7 Nb1-d2 Ne4-c5 Bb3-c2 d5-d4 Nd2-b3 d4-d3 Nb3xc5 d3xc2 Qd1xd8 Ra8xd8 Nc5xe6 f7xe6 Bc1-e3 Rd8-d5
39 30 761 63355 39 8317 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Nf6xe4 d2-d4 b7-b5 Ba4-b3 d7-d5 d4xe5 Bc8-e6 c2-c3 Bf8-e7 Nb1-d2 Ne4-c5 Bb3-c2 d5-d4 Nd2-b3 d4xc3 Nb3xc5 Be7xc5 Bc2-e4 Qd8-d7 b2xc3 Ra8-d8 Qd1xd7 Be6xd7
40 31 858 70278 40 8189 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Bf8-e7 Rf1-e1 b7-b5 Ba4-b3 d7-d6 c2-c3 Ke8-g8 h2-h3 Bc8-b7 d2-d4 Rf8-e8 Nb1-d2 Be7-f8 a2-a4 h7-h6 Bb3-c2 Ra8-b8 Bc2-b1 b5-b4 a4-a5 b4xc3
41 31 928 75788 41 8163 0 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 a7-a6 Bb5-a4 Ng8-f6 Ke1-g1 Bf8-e7 Rf1-e1 b7-b5 Ba4-b3 d7-d6 c2-c3 Ke8-g8 h2-h3 Bc8-b7 d2-d4 Rf8-e8 Nb1-d2 Be7-f8 a2-a4 h7-h6 Bb3-c2 Ra8-b8 Bc2-b1 b5-b4 a4-a5 b4xc3
# nodes 908972 <0% qnodes> time 9356ms nps 97153 eps 0 nneps 8157 tbhits 0
# Tree: nodes 97918 depth 31 pps 8154 visits 75826 qcalls 0 scalls 0
move e2e4
Bye Bye
I ran a 200 match blitz match (time control bench to CCRL blitz TC), against Komodo 14 4CPU (rated 3525 in CCRL Blitz list), Scorpio using ens-net-20x256.uff and ME.uff has suggested in the ini file right after the installation (which went without problems in windows 10 by the way). Cute-Chess 1.0.0 GUI (the script installation went easy too):
Games:
http://s000.tinyupload.com/index.php?fi ... 3684651401
Code: Select all
Rank Name Elo + - games score oppo. draws
1 Komodo 14 4CPU 3525 18 18 200 57% 3489 77%
2 Scorpio 3.08 INT8 3489 18 18 200 43% 3525 77%
1 Komodo 14 4CPU 3525 200.0 (114.5 : 85.5)
200.0 (114.5 : 85.5) Scorpio 3.08 INT8 3489
2 Scorpio 3.08 INT8 3489 200.0 ( 85.5 : 114.5)
Ko Sc
Komodo 14 4CPU 97
Scorpio 3.08 INT8 2
Apart from the heavy numbers of draws, here are a few observations (I watched many games):
Game 189: Scorpio is a safe 2 pawns up but it failed to convert (move 43 and onward). It is reported that Lc0 fails to convert many winning endgames, but from what I observed the problem is even more acute with Scorpio and its current nets. Many promising positions were blown away (draw or even lost in some cases). [pgn][Event "My Tournament"]
[Site "?"]
[Date "2020.06.06"]
[Round "95"]
[White "Scorpio 3.08 INT8"]
[Black "Komodo 14 4CPU"]
[Result "1/2-1/2"]
[ECO "E00"]
[Opening "Catalan Opening"]
[PlyCount "191"]
[Termination "adjudication"]
[TimeControl "40/110"]
1. d4 {book} Nf6 {book} 2. c4 {book} e6 {book} 3. g3 {book} Bb4+ {book}
4. Bd2 {book} a5 {book} 5. Nf3 {book} d5 {-0.24/23 5.5s} 6. Qc2 {+0.35/43 6.0s}
c5 {-0.06/24 3.6s} 7. cxd5 {+0.31/39 2.7s} cxd4 {-0.31/22 2.3s}
8. Nxd4 {+0.33/43 2.4s} exd5 {-0.30/24 7.1s} 9. Bg2 {+0.41/38 2.3s}
Nc6 {-0.28/23 4.1s} 10. Nxc6 {+0.64/38 2.2s} bxc6 {-0.34/24 2.1s}
11. Qxc6+ {+0.58/42 2.1s} Bd7 {-0.52/24 2.3s} 12. Qc2 {+0.60/42 2.5s}
Rc8 {-0.57/25 4.9s} 13. Qd1 {+0.63/38 1.6s} Qb6 {-0.45/26 2.9s}
14. O-O {+0.63/37 1.2s} O-O {-0.48/27 1.8s} 15. Bxb4 {+0.60/38 1.9s}
Qxb4 {-0.18/23 2.0s} 16. b3 {+0.58/38 1.7s} h5 {-0.19/22 2.4s}
17. Nd2 {+0.81/38 2.5s} h4 {-0.30/23 2.6s} 18. Re1 {+0.87/37 1.4s}
h3 {-0.80/23 7.2s} 19. Bf1 {+0.97/38 2.3s} Rfe8 {-0.97/26 8.3s}
20. Nf3 {+0.93/37 2.2s} a4 {-1.00/23 3.7s} 21. Ng5 {+1.34/42 4.4s}
Rc3 {-0.96/25 4.2s} 22. Bxh3 {+1.39/39 2.5s} Bxh3 {-1.02/26 2.2s}
23. Nxh3 {+1.34/35 0.89s} axb3 {-1.09/27 2.1s} 24. axb3 {+1.38/36 1.8s}
Rxb3 {-0.97/26 1.8s} 25. Nf4 {+1.35/39 2.2s} d4 {-1.07/23 2.1s}
26. Qc2 {+1.36/40 3.0s} Rc3 {-1.01/25 4.1s} 27. Qa2 {+1.36/41 3.0s}
Qd6 {-0.99/22 3.0s} 28. Qa4 {+1.34/41 3.6s} Qe5 {-1.14/22 1.6s}
29. Rab1 {+1.42/41 3.5s} Qc5 {-1.10/24 3.9s} 30. h4 {+1.45/39 3.8s}
Ra3 {-1.48/25 1.5s} 31. Qb4 {+1.19/44 4.4s} Qxb4 {-1.14/26 1.6s}
32. Rxb4 {+1.40/35 1.3s} d3 {-1.23/26 1.5s} 33. e3 {+1.25/39 3.3s}
Nd7 {-1.23/28 1.7s} 34. Rd1 {+1.53/40 4.6s} Ne5 {-1.14/28 1.3s}
35. Rb5 {+1.62/39 2.5s} Ng4 {-1.16/27 2.7s} 36. Rd5 {+1.58/40 5.0s}
Ra2 {-1.44/24 1.7s} 37. Rf1 {+1.49/41 3.0s} g6 {-1.43/25 1.4s}
38. Rxd3 {+2.09/36 3.7s} Rc8 {-1.62/25 2.1s} 39. Nd5 {+2.16/39 5.1s}
Rcc2 {-1.56/28 2.8s} 40. Nb4 {+2.63/38 6.9s} Rd2 {-1.70/27 1.9s}
41. Rd1 {+2.75/41 4.1s} Rxd3 {-1.76/29 3.7s} 42. Nxd3 {+2.90/37 2.9s}
f5 {-1.85/31 8.0s} 43. Rf1 {+3.36/41 6.6s} Kg7 {-1.95/30 7.5s}
44. Nf4 {+3.50/38 3.6s} Kh6 {-1.98/32 17s} 45. Ne6 {+3.39/63 8.1s}
Ne5 {-1.85/29 5.0s} 46. Ng5 {+3.64/37 3.6s} Nd3 {-1.95/29 3.0s}
47. Kg2 {+2.68/60 8.1s} Rb2 {-1.86/28 2.1s} 48. Nh3 {+3.77/39 3.8s}
Nc5 {-1.90/27 2.7s} 49. Rc1 {+4.21/66 5.8s} Ne4 {-1.72/27 1.8s}
50. Rc6 {+3.99/72 4.5s} Ra2 {-1.56/28 1.8s} 51. Re6 {+3.75/67 4.6s}
Kg7 {-1.71/30 3.6s} 52. Rb6 {+3.71/68 4.6s} Kh6 {-1.80/28 2.0s}
53. Rb7 {+3.62/70 4.7s} Rc2 {-1.76/32 7.9s} 54. Re7 {+3.70/71 4.0s}
Ra2 {-1.74/28 1.2s} 55. Rf7 {+3.64/65 2.0s} Ra6 {-1.77/30 2.8s}
56. Rc7 {+3.56/66 3.7s} Ra2 {-1.78/28 1.1s} 57. Re7 {+3.42/71 2.3s}
Rc2 {-1.80/29 4.7s} 58. Ra7 {+3.52/41 2.5s} Rd2 {-1.70/28 3.0s}
59. Kf3 {+3.47/71 4.3s} Rb2 {-1.77/27 1.1s} 60. Ra4 {+3.59/47 2.9s}
Nd2+ {-1.73/28 3.4s} 61. Kg2 {+3.61/64 2.5s} Ne4 {-1.84/27 1.2s}
62. Ra6 {+3.11/68 1.6s} Rc2 {-1.56/29 2.3s} 63. Kf3 {+3.26/43 2.0s}
Kg7 {-1.54/25 0.88s} 64. Ra4 {+3.61/41 1.6s} Kh6 {-1.51/26 1.1s}
65. Rd4 {+3.34/61 1.4s} Kg7 {-1.44/27 2.6s} 66. Rxe4 {+4.28/41 1.3s}
fxe4+ {-1.04/23 1.1s} 67. Kf4 {+3.98/59 1.3s} Rc4 {-0.88/29 2.8s}
68. Ke5 {+2.44/59 1.7s} Kh6 {-0.42/28 1.5s} 69. g4 {+1.20/61 1.3s}
Rc1 {0.00/33 0.63s} 70. Ng5 {+0.49/62 1.4s} Rh1 {0.00/33 0.70s}
71. Kf4 {+0.19/61 1.1s} Rxh4 {0.00/30 0.62s} 72. Nf7+ {+0.04/55 1.1s}
Kg7 {0.00/34 0.80s} 73. Nd6 {+0.02/53 0.86s} Rh1 {0.00/35 0.85s}
74. Nxe4 {+0.06/54 0.90s} Re1 {0.00/37 0.84s} 75. Ng5 {+0.05/53 1.2s}
Ra1 {0.00/40 0.81s} 76. Ne6+ {+0.03/56 1.2s} Kf7 {0.00/37 0.81s}
77. Nd4 {+0.02/48 0.98s} Ra2 {0.00/37 0.85s} 78. f3 {+0.05/48 0.88s}
Ra3 {0.00/41 0.99s} 79. g5 {+0.03/44 1.2s} Ra2 {0.00/46 1.1s}
80. Ke4 {+0.04/56 1.6s} Ra4 {0.00/50 1.3s} 81. f4 {+0.07/62 5.7s}
Ra7 {0.00/45 3.0s} 82. Nc6 {+0.07/59 6.4s} Ra4+ {0.00/47 3.4s}
83. Kd5 {+0.09/59 4.9s} Kf8 {0.00/48 3.2s} 84. Ne5 {+0.10/69 6.6s}
Kg7 {0.00/48 2.7s} 85. e4 {+0.09/63 3.4s} Ra5+ {0.00/48 2.4s}
86. Ke6 {+0.13/64 5.0s} Ra6+ {0.00/49 2.8s} 87. Kd7 {+0.11/66 5.3s}
Ra7+ {0.00/50 2.2s} 88. Kd6 {+0.12/67 3.4s} Ra6+ {0.00/55 2.2s}
89. Nc6 {+0.44/64 4.2s} Rb6 {0.00/46 2.3s} 90. e5 {+0.43/62 4.5s}
Kf8 {0.00/45 2.1s} 91. Kd7 {+0.25/63 3.4s} Rb7+ {0.00/53 2.4s}
92. Ke6 {+0.05/66 3.8s} Rf7 {0.00/49 2.2s} 93. f5 {-0.05/70 3.5s}
Rxf5 {0.00/53 2.0s} 94. Ne7 {-0.13/66 2.1s} Rxg5 {0.00/65 2.7s}
95. Kf6 {-0.09/65 1.5s} Rg1 {0.00/77 1.8s}
96. Nxg6+ {-0.08/67 2.1s, Draw by adjudication: SyzygyTB} 1/2-1/2[/pgn]
Game 161: The endgame net seems to kick in around move 74, where the piececount = 10, although it is indicated that it would come in at piececount=14 in the .ini file. It is the same in other games too.
Game 123: On move 31, the eval depth spike suddently to 59 from around 40 from earlier moves. There are other depth spike in this game, and in many other games. I'm not sure if this is a normal behavior. Note that it lost this game, in spite of being an healthy pawn up at this point. [pgn][Event "My Tournament"]
[Site "?"]
[Date "2020.06.06"]
[Round "62"]
[White "Scorpio 3.08 INT8"]
[Black "Komodo 14 4CPU"]
[Result "0-1"]
[ECO "A53"]
[Opening "Old Indian defense"]
[PlyCount "242"]
[Termination "adjudication"]
[TimeControl "40/110"]
1. d4 {book} Nf6 {book} 2. c4 {book} d6 {book} 3. Nc3 {book} Nbd7 {book}
4. e4 {book} e5 {book} 5. Nf3 {book} Be7 {book} 6. Be2 {+0.97/43 6.1s}
O-O {-0.66/21 2.3s} 7. O-O {+0.94/41 1.7s} a5 {-0.78/26 8.3s}
8. Qc2 {+0.98/46 5.0s} Re8 {-0.65/25 3.5s} 9. Be3 {+0.90/45 2.7s}
Ng4 {-0.75/23 2.4s} 10. Bd2 {+0.81/37 1.6s} exd4 {-0.57/24 2.1s}
11. Nxd4 {+0.87/35 0.89s} Nc5 {-0.71/25 3.0s} 12. Rad1 {+0.89/39 2.8s}
Bf6 {-0.71/23 2.1s} 13. Bc1 {+0.84/37 1.4s} Bxd4 {-0.76/26 4.1s}
14. Rxd4 {+0.77/35 1.1s} Qh4 {-0.74/27 1.9s} 15. Bxg4 {+0.71/38 1.8s}
Qxg4 {-0.75/27 3.9s} 16. f3 {+0.69/45 3.2s} Qd7 {-0.78/26 7.3s}
17. Nd5 {+0.62/41 2.7s} Na6 {-0.71/26 8.2s} 18. Qc3 {+0.94/42 4.4s}
b6 {-0.66/23 2.5s} 19. e5 {+1.02/41 3.0s} Kh8 {-0.84/24 4.0s}
20. Bf4 {+2.80/40 3.6s} Bb7 {-1.60/24 4.3s} 21. exd6 {+3.08/35 0.87s}
Bxd5 {-1.43/24 1.7s} 22. Rxd5 {+3.21/37 1.6s} Nb4 {-2.10/21 1.9s}
23. Rdd1 {+3.21/39 2.2s} cxd6 {-1.74/22 1.8s} 24. a3 {+3.55/38 2.7s}
Nc6 {-1.98/22 1.8s} 25. Rxd6 {+3.58/54 2.8s} Qf5 {-1.39/24 1.7s}
26. Bg3 {+3.37/55 2.8s} Qc5+ {-1.61/25 3.3s} 27. Kh1 {+3.37/37 1.7s}
b5 {-1.48/26 2.6s} 28. cxb5 {+3.34/40 3.7s} Qxb5 {-1.49/25 3.3s}
29. Ra1 {+3.46/41 3.0s} Ne7 {-1.18/25 3.7s} 30. a4 {+3.66/37 2.4s}
Qg5 {-1.55/26 1.9s} 31. Rd7 {+2.27/59 5.5s} Nf5 {-0.98/21 1.9s}
32. Bf2 {+2.12/42 2.6s} Re2 {-0.74/23 2.1s} 33. Qc5 {+2.28/39 2.8s}
Rae8 {-0.96/22 2.0s} 34. Rxf7 {+1.40/38 3.2s} Re1+ {-0.54/29 1.9s}
35. Rxe1 {+1.26/39 2.0s} Rxe1+ {-0.40/30 4.1s} 36. Bxe1 {+1.22/38 2.6s}
Ng3+ {-0.36/29 1.7s} 37. hxg3 {+1.20/38 2.8s} Qxc5 {-0.46/29 1.8s}
38. Rf4 {+1.13/39 3.7s} Kg8 {-0.48/31 2.5s} 39. Bc3 {+1.06/40 5.4s}
g6 {-0.43/32 4.3s} 40. Rd4 {+0.93/38 8.2s} Qh5+ {-0.43/31 1.3s}
41. Rh4 {+0.84/41 6.4s} Qd5 {-0.36/35 13s} 42. Kg1 {+0.81/43 8.6s}
Qc5+ {-0.32/32 7.9s} 43. Kh2 {+0.79/42 6.0s} Qd5 {-0.29/33 3.2s}
44. Rg4 {+0.77/43 7.5s} Qh5+ {-0.27/30 2.2s} 45. Kg1 {+0.73/38 3.1s}
Qc5+ {-0.35/33 2.8s} 46. Rd4 {+0.73/42 4.0s} Qg5 {-0.27/35 3.2s}
47. g4 {+0.69/46 5.5s} h5 {-0.25/30 1.9s} 48. gxh5 {+0.68/41 4.0s}
Qxh5 {-0.24/30 1.8s} 49. Re4 {+0.71/47 7.4s} Qg5 {-0.23/30 2.2s}
50. Kf1 {+0.67/47 6.6s} Kf7 {-0.23/29 2.1s} 51. Rc4 {+0.63/44 4.5s}
Qe3 {-0.22/29 1.9s} 52. Rg4 {+0.64/41 3.6s} Qd3+ {-0.23/31 3.1s}
53. Kf2 {+0.66/41 3.0s} Qf5 {-0.21/30 1.8s} 54. Re4 {+0.60/45 3.2s}
Qc5+ {-0.22/26 1.6s} 55. Kg3 {+0.54/45 3.5s} Qg5+ {-0.22/29 1.4s}
56. Rg4 {+0.51/43 2.2s} Qc5 {-0.22/30 2.0s} 57. Rf4+ {+0.53/40 1.8s}
Kg8 {-0.22/31 1.9s} 58. Re4 {+0.57/40 1.7s} Qg5+ {-0.21/28 1.6s}
59. Kf2 {+0.54/40 1.6s} Kf7 {-0.21/28 1.4s} 60. Rd4 {+0.51/44 2.5s}
Qc5 {-0.21/31 1.7s} 61. Kf1 {+0.53/44 2.5s} Qf5 {-0.19/29 1.5s}
62. Rh4 {+0.45/40 1.5s} Qg5 {-0.19/32 3.4s} 63. Rg4 {+0.51/42 1.8s}
Qf5 {-0.19/30 1.5s} 64. Kf2 {+0.51/39 1.2s} Qc2+ {-0.19/30 1.7s}
65. Kg3 {+0.56/40 1.3s} Qc1 {-0.19/29 1.5s} 66. Rf4+ {+0.51/38 0.61s}
Kg8 {-0.19/29 1.6s} 67. Rd4 {+0.51/42 1.3s} Qg5+ {-0.18/28 1.7s}
68. Rg4 {+0.47/42 1.3s} Qf5 {-0.14/28 1.8s} 69. Kh2 {+0.37/40 1.00s}
Kf7 {-0.13/30 2.3s} 70. Re4 {+0.40/40 1.2s} Qh5+ {-0.11/30 1.8s}
71. Kg1 {+0.37/38 0.82s} Qc5+ {-0.11/29 1.8s} 72. Rd4 {+0.36/38 0.69s}
Qg5 {-0.12/31 2.3s} 73. g4 {+0.39/40 1.4s} Qe3+ {0.00/32 1.7s}
74. Kg2 {+0.43/35 0.54s} Qe2+ {0.00/36 2.4s} 75. Kg3 {+0.39/36 0.69s}
g5 {0.00/36 1.8s} 76. Re4 {+0.31/40 1.7s} Qd1 {0.00/37 2.8s}
77. Kf2 {+0.28/38 1.3s} Qc2+ {0.00/36 2.1s} 78. Ke3 {+0.28/40 1.8s}
Qc1+ {0.00/39 2.7s} 79. Kd4 {+0.20/40 1.9s} Qd1+ {0.00/41 2.8s}
80. Kc5 {+0.11/39 1.6s} Qxf3 {0.00/38 2.7s} 81. Rc4 {+0.06/63 7.7s}
Qb7 {0.00/39 3.1s} 82. Bxa5 {+0.02/60 3.8s} Qe7+ {0.00/36 3.0s}
83. Kb5 {+0.02/63 6.6s} Qe5+ {0.00/35 3.0s} 84. Ka6 {-0.03/64 4.0s}
Qxb2 {0.00/38 2.8s} 85. Bb6 {-0.05/63 4.0s} Qe2 {0.00/39 2.7s}
86. Kb5 {-0.08/62 2.3s} Ke6 {0.00/40 2.5s} 87. Kc5 {-0.12/68 5.7s}
Qg2 {0.00/43 2.3s} 88. Rd4 {+0.04/63 5.5s} Qc2+ {0.00/47 2.5s}
89. Kb4 {0.00/69 4.9s} Qc6 {0.00/42 2.4s} 90. Bc5 {-0.01/62 4.8s}
Qb7+ {0.00/39 2.2s} 91. Kc3 {-0.06/68 3.4s} Ke5 {0.00/41 2.4s}
92. Rc4 {-0.16/61 4.5s} Qb1 {0.00/28 4.6s} 93. Ba3 {-0.15/60 3.9s}
Qe1+ {+0.32/26 2.4s} 94. Kc2 {-0.15/58 3.8s} Kd5 {+0.20/25 2.1s}
95. Kb3 {-0.34/59 3.7s} Qg3+ {+0.07/28 6.9s} 96. Kb4 {-0.46/59 3.2s}
Qb8+ {+0.14/29 1.8s} 97. Kc3 {-0.32/54 2.0s} Qe5+ {+0.09/31 2.0s}
98. Kb4 {-0.32/61 2.6s} Qe7+ {+0.04/27 1.7s} 99. Kb3 {-0.37/57 2.1s}
Qe2 {+0.04/31 2.5s} 100. Rb4 {-0.15/55 2.1s} Qe3+ {+0.51/27 6.2s}
101. Kb2 {-0.20/57 3.1s} Ke6 {+1.14/26 3.7s} 102. Rc4 {-0.21/55 1.8s}
Qd3 {+1.37/25 1.7s} 103. Rb4 {-0.37/50 1.5s} Kd7 {+1.51/28 1.9s}
104. Ka2 {-0.29/57 1.6s} Qc3 {+1.66/27 2.2s} 105. a5 {-0.32/58 1.1s}
Kc7 {+1.68/27 2.5s} 106. a6 {-0.22/50 0.99s} Qd2+ {+2.04/27 3.3s}
107. Kb1 {-0.28/56 1.6s} Qd3+ {+2.14/28 2.1s} 108. Kb2 {-0.42/58 1.6s}
Qxa6 {+1.97/28 2.9s} 109. Ka2 {-0.54/63 1.5s} Qe6+ {+2.75/23 2.3s}
110. Kb2 {-0.78/57 2.1s} Qe2+ {+2.76/25 2.2s} 111. Ka1 {-1.29/57 2.1s}
Qe5+ {+3.03/23 3.1s} 112. Kb1 {-3.04/55 1.8s} Qc3 {+3.54/23 2.1s}
113. Ka2 {-3.55/52 0.88s} Kc6 {+3.78/24 3.6s} 114. Rb3 {-3.86/57 1.6s}
Qc4 {+3.81/22 4.0s} 115. Bb2 {-3.89/54 1.2s} Qxg4 {+4.67/20 4.2s}
116. Bc1 {-4.06/54 1.3s} Qe2+ {+6.63/20 2.1s} 117. Ka3 {-4.21/48 1.0s}
Qe1 {+10.40/18 2.7s} 118. Be3 {-4.56/51 1.8s} g4 {+250.00/17 0.62s}
119. Bf4 {-4.47/49 0.81s} Qa1+ {+250.00/42 0.32s} 120. Kb4 {-4.47/50 0s}
Qd4+ {+250.00/50 0.45s} 121. Ka5 {-7.75/58 11s}
Qxf4 {+250.00/53 0.47s, Black wins by adjudication: SyzygyTB} 0-1[/pgn]
I'll be following Scorpio progress. Thank you for your efforts.
Edit: The openings for the match against Komodo were "Noomen Short Lines 2015.pgn".