I'm afraid it is just a die shrink, since the architecture behind is still GCN5, although a bit tweaked. And again, faster and bigger memory is almost irrelevant for hashcat.
Take the Anandtech benches for GPU computing and you'll find roughly +30%, +40% and +20% over the Vega 64 in the three Compubenches and only +12% in the folding bench. The Geekbench , where the RTX2080 made a huge leap forward over the GTX1080, we see a merely +3% from the Rdeon VII over the Vega 64. The GP Processing bench shows a +20% and fits into the spectrum.
By taking the +3% to +40% in these OpenCL benches an overall +50% for hashcat would be a big surprise. But, of course, in certain hash modes there might be an advantage over the RTX2080. In any way it would only reach the latter with the RTX 2080Ti staying far ahead.
Considering the big potential of the 7nm technology over NVidias 12nm it shows very poor performance. Even if it could reach the RTX2080 in hashcat, it would still draw much more power with its 300Watts and all that at an equal price. No recommendation in sight.
Take the Anandtech benches for GPU computing and you'll find roughly +30%, +40% and +20% over the Vega 64 in the three Compubenches and only +12% in the folding bench. The Geekbench , where the RTX2080 made a huge leap forward over the GTX1080, we see a merely +3% from the Rdeon VII over the Vega 64. The GP Processing bench shows a +20% and fits into the spectrum.
By taking the +3% to +40% in these OpenCL benches an overall +50% for hashcat would be a big surprise. But, of course, in certain hash modes there might be an advantage over the RTX2080. In any way it would only reach the latter with the RTX 2080Ti staying far ahead.
Considering the big potential of the 7nm technology over NVidias 12nm it shows very poor performance. Even if it could reach the RTX2080 in hashcat, it would still draw much more power with its 300Watts and all that at an equal price. No recommendation in sight.