3 ms·
As I mentioned elsewhere, check the details of that transcode you tried. Are you doing tone mapping? That happens on the CPU (even with many discrete GPUs). Is
by ohthehugemanate 4y ago
As I mentioned elsewhere, check the details of that transcode you tried. Are you doing tone mapping? That happens on the CPU (even with many discrete GPUs). Is it in a supported container format? Did you validate that the GPU was being used for the transcode?
Other 10th gen I5 users get multiple simultaneous 4k streams going at > 1x speed. Even with tone mapping it should only use like 45% CPU for a single stream.
Unfortunately the difference between software and hardware development cycles means that when you're on data formats that came to prominence in the last 2 years, even the newest hardware may not support it yet.
- karlshea 4y agoOr I could just solve the problem by putting an old 1070 in the box and not have to babysit something I have literally zero interest in.
- ohthehugemanate 4y agoSure, it's always cheaper to use the hardware you've got than to buy something new! And you don't lose much: AV1 and VP9 compatibility the same, and probably your home doesn't use more than NVIDIA's maximum of 3 simultaneous transcodes anyway. And IIRC that's about the maximum 4k transcode throughput of a 1070 regardless. Personally I moved from NVIDIA to quicksync exactly because I felt NVIDIA required too much babysitting. Driver compatibility, interactive mode updates, patches and patch compatibility... In comparison the intel driver felt like a cake walk. But you should definitely go with your own comfort level, especially for the price point!
- karlshea 4y ago> NVIDIA required too much babysitting This is on a headless box so thankfully I've never run into any of those issues, I just install their driver and pass the GPU through to my Docker container.