Media Center's Workload - CPU Cores vs. Threads

[Owner]

https://www.namehero.com/blog/cpu-cores-...d-to-know/

CPU Cores are Boys.
Threads are the superior beings known as Girls.
Girls can Multitask Boys Cant!

Lets take two simple Desktop PC's

A  AMD Ryzen 9  5900x
  12 Cores, 23 Threads


B  AMD Ryzen Pro 7000 WX
  96 Cores, 182 Threads

Which is best to Run Jellyfin?

[Deleted User]

GPU matters more than CPU so what you are comparing is equal in terms of transcoding

it's hard to explain in terms someone can understand
i tried out 3 analogies in response but they do not seem to cover it so recommend researching the difference on your own

[Deleted User]

here this seems to cover it - https://aws.amazon.com/compare/the-diffe...-gpus-cpus

Example of the differences

To understand better, consider the following analogy. The CPU is like a head chef in a large restaurant who has to make sure hundreds of burgers get flipped. Even if the head chef can do it personally, it’s not the best use of time. All kitchen operations may halt or slow down while the head chef is completing this simple but time-consuming task. To avoid this, the head chef can use junior assistants who flip several burgers in parallel. The GPU is more like a junior assistant with ten hands who can flip 100 burgers in 10 seconds.

[Owner]

thanks i forgot about GPU / CPU.

Retail shop assistants only ask is it for Gaming or Office type work, they usually don't know much about most of the PC's on display.
You can't install jellyfin on their display machines and try it out.
so its if you know someone that has a model and is happy with the way Jellyfin runs on it.

[Deleted User]

if that's the question, whether or not a current user is happy with their hardware

i have a cheap(ish) mini pc that does everything i need

1-3 concurrent streams without hiccup, files are cloud hosted BluRay and 4K BluRay 1:1 Remux

Intel® Core™ i7-9700T
CoffeeLake-S GT2 [UHD Graphics 630]
Host OS is Debian, Guest is Ubuntu JF Docker (linuxserver.io), everything including transcodes goes to a samsung 980 2TB NVME
(the bus speed of the system cannot fully utilize the NVME speed so tops out around 4Gbps)

it is setup where cloud is internet based, minipc is local LAN so performance is based on the local internet and LAN speeds
- getting the files to the LAN then transcode to the LAN client