47 minutes ago
Hi everyone,
I'm currently running jellyfin in Docker using an OpenMediaVault OS on a server carrying an Intel i3-12100 (UHD 730 iGPU) + 16GB of RAM. I'm using linuxserver image.
When I try to watch a 4K HEVC HDR DV file on a device that needs transcoding (mainly iPhone 13 or laptop web browser), I get poor transcoding performance: the file can take up to a full minute to load (especially on phone) and I get stutters every 5-10 seconds once it plays.
I can't navigate inside the file either, each time I try to reach a different timing it takes forever to load and sometimes won't at all.
It's slightly better when using other iOS apps like Streamyfin. Also better if I restart the jellyfin container but then worsens over time.
Once I stop the file, the CPU usage stays very high for a few minutes before going back to normal, but during that time the whole server gets really slow.
My jellyfin is behind nginx-proxy-manager but even when I reach it in LAN I have poor performance.
HWA seems to be working properly: I'm getting almost 100% usage on my iGPU when monitoring intel_gpu_top. I went through the tutorial on enabling Intel LP modes and they're working.
Files are on a HDD but the transcoding folder is on a SSD.
On transcoding settings here's what I set :
- decoding all except VP8 (according to Intel's website)
- OS decoders (VA-API/DXVA) enabled, tried disabling with no significant difference
- HWA and LP H264 HWA enabled, disabling H265 encoding made a slight increase in performance
- tonal mapping enabled (tried disabling VPP but no difference)
- "auto" encoding profile (tried ultrafast but no difference)
- deleting segments and lowering transcoding speed both enabled.
Here is a ffmepg log when trying to watch on iPhone with poor performance (long loading time + some stutters): https://pastebin.com/cLwvEerE. What about those NAL units?
Here's my docker-compose: https://pastebin.com/gBEmya2j
Picture of intel_gpu_top when running a transcode: https://ibb.co/Q7jmGFJC
So is it just my iGPU that doesn't have enough horsepower to handle heavy transcodes? Or is there something else I should try in the settings?
I'm currently running jellyfin in Docker using an OpenMediaVault OS on a server carrying an Intel i3-12100 (UHD 730 iGPU) + 16GB of RAM. I'm using linuxserver image.
When I try to watch a 4K HEVC HDR DV file on a device that needs transcoding (mainly iPhone 13 or laptop web browser), I get poor transcoding performance: the file can take up to a full minute to load (especially on phone) and I get stutters every 5-10 seconds once it plays.
I can't navigate inside the file either, each time I try to reach a different timing it takes forever to load and sometimes won't at all.
It's slightly better when using other iOS apps like Streamyfin. Also better if I restart the jellyfin container but then worsens over time.
Once I stop the file, the CPU usage stays very high for a few minutes before going back to normal, but during that time the whole server gets really slow.
My jellyfin is behind nginx-proxy-manager but even when I reach it in LAN I have poor performance.
HWA seems to be working properly: I'm getting almost 100% usage on my iGPU when monitoring intel_gpu_top. I went through the tutorial on enabling Intel LP modes and they're working.
Files are on a HDD but the transcoding folder is on a SSD.
On transcoding settings here's what I set :
- decoding all except VP8 (according to Intel's website)
- OS decoders (VA-API/DXVA) enabled, tried disabling with no significant difference
- HWA and LP H264 HWA enabled, disabling H265 encoding made a slight increase in performance
- tonal mapping enabled (tried disabling VPP but no difference)
- "auto" encoding profile (tried ultrafast but no difference)
- deleting segments and lowering transcoding speed both enabled.
Here is a ffmepg log when trying to watch on iPhone with poor performance (long loading time + some stutters): https://pastebin.com/cLwvEerE. What about those NAL units?
Here's my docker-compose: https://pastebin.com/gBEmya2j
Picture of intel_gpu_top when running a transcode: https://ibb.co/Q7jmGFJC
So is it just my iGPU that doesn't have enough horsepower to handle heavy transcodes? Or is there something else I should try in the settings?