This is better than
not breaking it down, but it's still not very good. McConnell advocates this approach strongly in his book on software estimation[1], and I've seen it work to some extent. It works for reasonably repeatable projects that are very similar to earlier projects you have experience with. But when we get into seriously non-trivial projects that are more "R" than "D"... well, it just isn't enough.
The problem is that on a non-trivial project, these breakdowns are guesses which carry considerable uncertainty. And the less you know, the more the unknown-unknowns get you. If you write a detailed breakdown of a major piece of software before writing a line of code, at the end of the project you will look back and laugh and laugh at your own innocence.
As just one random top-of-mind example, consider Carmack writing Doom's rendering engine[2]. He tried several approaches that didn't work before striking the right balance with pre-computed BSPs. Some of the things he tried were fundamentally good ideas and would later be used for different games - but didn't work on the hardware of the times. How do you estimate something like that? "I'm going to spend a month on my first approach. That could be one month or two. If that doesn't work, (50% chance), I'll read research papers and textbooks (1 week - 3 months) until I find a promising technique. Then I try the most promising of these; since this is an approach I haven't even read about yet, it could be one week to implement, or six months. And there's some chance that will fail to and I'll have to do it again." The final estimate is anywhere from one month to a year. You just can't know.
[1]: https://www.amazon.com/Software-Estimation-Demystifying-Deve...
[2]: https://twobithistory.org/2019/11/06/doom-bsp.html