Of course it will not always beat Fortran, but don't think think it is damn impressive that a high level dynamic language with much higher productivity frequently matches or beats Fortran? That is a crazy achievement if you ask me.

Real world systems today are going to use a lot of computing resources, such as clusters, GPUs, tensor processing units, multiple cores etc. In such a world, anything that makes that easy to deal with is going to have the performance edge in practice.

Doesn't matter how fast a Fortran program would be in theory, if the Julia program is delivered years ahead of it.