Why do you need the exact same result?
Yes, the results will be hardware dependent. Based on the width of the CPU’s vector registers, a different order of adding the numbers will be optimal. These different orders can slightly change rounding.
You can use foldl(+, x) instead of sum(x) to guarantee a particular order.
Most Kahan Summations implementations aren’t SIMD and thus will be exactly the same across architectures (AccurateArithmetic is), and of course Xsum promises to be exactly rounded, so you obviously shouldn’t see any rounding differences there.