The 7nm Ryzen parts should have double the avx2 as the older parts. Zen1 has half the throughput per cycle (or twice the reciprocal throughput) when using ymm (

The 7nm Ryzen parts should have double the avx2 as the older parts. Zen1 has half the throughput per cycle (or twice the reciprocal throughput) when using ymm (256 bit) registers vs xmm (128 bit) in general https://www.agner.org/optimize/instruction_tables.pdf https://www.agner.org/optimize/instruction_tables.pdf If you want to look at `vmov`s or arithmetic like `vadd` or `vmul`. Particularly glaring is that for moves between memory and (xmm vs ymm) Zen1 has a recirpical throughput of (1 vs 2), ie that on average it is able to complete an xmm-memory move once per cycle, and a 256-bit move one every two cycles. Skylake-X instead has 0.5 for xmm/ymm/zmm-memory. That is, it can move up to 512-bits between a register and memory twice per cycle. That is 8-times the throughput. Arithmetic isn't as bad, but Zen1's reciprocal throughput goes from 0.5 to 1 on xmm to ymm, while Intel stays at 0.5 independent of vector size. I haven't seen data on the 7nm Ryzen parts, but their marketing claimed it was supposed to have full width avx2, so I imagine things are different now, and that 7nm Ryzen will do just as well for avx workloads per core and clock as all the Intel parts without avx512. EDIT: Some instructions on Intel get slower with wider vectors, like vdiv, vsqrtpd, vgather...