The engines are very similar, both development versions of Stockfish.
How come that Stockfish 231121 has more kN/s but the depth is considerably less (in a middle game position)?
depth is an implementation detail and provides no information for the user
dangi12012 wrote:No one wants to touch anything you have posted. That proves you now have negative reputations since everyone knows already you are a forum troll.
Maybe you copied your stockfish commits from someone else too?
I will look into that.
It's tricky. As an engine begins to do more and more sophisticated pruning and reduction rules (Stockfish possibly being the ultimate example of this), depth becomes an increasingly difficult number to get meaning from. Techniques like Internal Iterative Reductions especially can make the precise meaning of the number unclear. It's not completely meaningless of course, but it's not strictly better to have more depth.
Also, because of that, even for the same engine, it can take 10x or more nodes / depth in some positions than others. It depends on things like how many moves are available, the amount of pieces on the board, how good the move ordering heuristics are doing in this position, number of extensions being triggered, etc. Most modern, mature engines tend to aggressively prune and reduce non-tactical lines and also try to sort of "guess" what the outcome of a line will be for the alpha-beta pruning before reaching the leaves (e.g. reverse futility pruning). Usually the specific character of these prunings relies on certain numerical thresholds, e.g. if I'm more than 2 pawns above beta at a shallow depth, prune. Small changes in these numbers can result in big changes in what gets pruned
Also, typically the midgame is where high depths become hardest to achieve, since there are so many tactical lines available at any given time, so it's probably where this effect becomes quite noticeable
In a middle game position there can be many possible branches to take, so one can search a bunch of nodes over not much depth.
The more pieces that come off the board, transpositions become more likely. Thus there simply isn't as much to search and the engine covers more iterations in fewer nodes.