Power limits seem to be a substantial block for how these cards overclock. The +23% is a pretty shallow limit - enough so that the +30% of EVGAs cards (according to GamersNexus) made a sizeable difference. This is weird because the power delivery hardware of the reference boards is massive compared to any other reference nvidia design - and capable of delivering way more than the power being used.
These RTX cards have essentially 3 “Sectors”: Cuda Cores, Ray Tracing, and Tensor Cores.
The benchmarking being done right now is only using 1 out of 3 “sectors” of the RTX cards. This means that all the allowed power is currently being used for your standard GPU rasterization
But what happens when the card starts to utilize the additional features of RTX?
If the power limit is hard set for the entire card, that means if we start Ray Tracing, the power required for that is taken up and not able to be used for rasterization. This compounds if the tensor cores are used.
Either this is wrong, and when RTX silicon is utilized, the overall power limit increases, and thus heat output goes up, OR when ray tracing and/or tensor processing is used, the rasterization ability of the GPU significantly drops. I wonder if this is part of the reason that even 1080p/60hz seems very difficult to achieve even on the 2080ti