On modern processors, floating point addition often has equal performance to floating point multiplication. For example, on AMD Zen4 it’s 3 cycles latency and 0.5 cycles throughput.

I’m not sure that trick going to work in the context of computer graphics. To transform vectors or multiply matrices you need a mix of multiplications and additions, or an equivalent sequence of FMAs.