Elio Struyf is an independent Engineering Lead working for Rapid, Blogger, and Speaker. Loves stickers - if you want stickers, get them at https://pyod.shop.
Great to hear you are experiencing a huge performance boost. There is one thing to point out. You mentioned the ~60% performance improvement, and I assume you did the test on Windows vs macOS as you mentioned your old Dell. When using Node.js on macOS it will in many cases be ~50% faster compared to Windows in general (even on Intel). This has more to do with the OS, than with the hardware. For instance, try WSL2 on Windows, and you will also get a similar performance boost.
I own a Macbook from 2017, the 16", an Intel Nuc Hackintosh, and Mac Mini M1. When it comes to developing Node.js, build times are very similar. We have one major mono-repo where it takes up to 10 minutes to build all projects. On the new M1, it takes about the same time as on my Intel Nuc.
I'm sure we'll see a bigger performance improvement in the future when a lot more applications are optimized for using the M1.
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Great to hear you are experiencing a huge performance boost. There is one thing to point out. You mentioned the ~60% performance improvement, and I assume you did the test on Windows vs macOS as you mentioned your old Dell. When using Node.js on macOS it will in many cases be ~50% faster compared to Windows in general (even on Intel). This has more to do with the OS, than with the hardware. For instance, try WSL2 on Windows, and you will also get a similar performance boost.
A while ago I wrote an article about this: Speed up SharePoint Framework builds with WSL 2. The outcome was this table:
I own a Macbook from 2017, the 16", an Intel Nuc Hackintosh, and Mac Mini M1. When it comes to developing Node.js, build times are very similar. We have one major mono-repo where it takes up to 10 minutes to build all projects. On the new M1, it takes about the same time as on my Intel Nuc.
I'm sure we'll see a bigger performance improvement in the future when a lot more applications are optimized for using the M1.