[noob alert] running speed of large-scale model

Hello to everyone, i am new to nengo and i just started implementing a paper found on the internet about hierarchical reinforncement learning [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0180234]. To start with, when i created the model and tried to run it, it was really slow. I cant understand if there is a bottleneck in the code and how can i get a speed equal to 1x (in the down left section). If do you think that there is a performance issue, do you have any suggestions about how can i improve it?

Thanks in advance and sorry for my bad english!