Timeseed is a library which highly depends on the CPU for performance. I want to check how timeseed performs on different types of CPUs / OS with different memory. Obviously I don't have have access to all the systems, hence it would be really helpful if I could get the end results from the community of how timeseed is performing on their system along with few configs of your system.
What to do?
- Install timeseed on your system using
pip install timeseed
- Go to terminal and run
timeseed benchmark and take screenshot of the end result.
- Then run
timeseed benchmark -t 3, this will generate ids using 3 threads, take screenshot of the end result. Ideally, performance should have increased but due to python's GIL limitation it would be almost same as single threaded.
- Share both the screenshot under this issue only along with your CPU (like Macbook Air m2), OS (like macOS Sequoia v15.5 ) and memory/RAM (like 8GB).
Thankyou so much for your time !
Timeseed is a library which highly depends on the CPU for performance. I want to check how timeseed performs on different types of CPUs / OS with different memory. Obviously I don't have have access to all the systems, hence it would be really helpful if I could get the end results from the community of how timeseed is performing on their system along with few configs of your system.
What to do?
pip install timeseedtimeseed benchmarkand take screenshot of the end result.timeseed benchmark -t 3, this will generate ids using 3 threads, take screenshot of the end result. Ideally, performance should have increased but due to python's GIL limitation it would be almost same as single threaded.Thankyou so much for your time !