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M1 is slower and less efficient than 2014 Core i7 in pandas processing ?
So M1 Mac is blazing fast and yet cold, right ?
Seriously, I was shocked. really shocked.
It was yesterday, I have written one python script to process Covid-19 statisutics (open data)of the Netherlands.
It’s just simple pandas script, Nothing funcy, to make trend graphs of death tall, hospital admission, and IC (Intensive Cure unit) admittion by Covid-19 in the country.
When I started the script on my main machine (2020 M1 Macbook Air), using Jupyter notebook, it took for ages to complete the task with rainbow cursor several times. It took up nearly 7GB of memory (according to activity monitor) and it stuck even 30mins after the script is completed.
I restarted the machine and rerun the program. This time, it has done in reasonable time but memory pressure is yellow and the memory taken by python process is never released (so pressure is keeping on yellow).
Just out of curiousity, I copied the notebook to my old 11inch Macbook air (2014, Core i7), using same data from Dutch opendata and run it.
It’s done the task as quick as M1, with no memory pressure. While M1 macbook air tells me memory pressure is yellow, i7 macbook air tells me it’s…
