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Tested HW and Configuration WITH ONNX (from version 0.7.0-beta)

Issue ID HW CONFIGURATION Supported Notes
- CPU: Intel: i5 6th gen, i5 8th gen; ARM: VM on cloud (no detail on the specific cpu) K3S cluster, Docker Image :0.7.0-beta ✅ Yes -
- CPU: Intel i5-12450H K3S, Docker Image :0.7.0-beta ✅ Yes -
#14 CPU: Intel 12600K Docker Compose, Jellyfin, Docker Image :0.7.0-beta ✅ Yes user need to set at least 4GB of ram to the container

Tested HW and Configuration WITH TENSORFLOW (till version 0.6.10-beta)

This table collect all the HW and configuration from the different issue in this repository.

IMPORTANT: If a CPU is not present in the table only means is not tested, but is still possible that works. If you have an issue on a particular CPU please raise a ticket.

Issue ID HW CONFIGURATION Supported Notes
#14 CPU: Ryzen 5600G Docker Compose, Jellyfin ✅ Yes -
#24 CPU: Ryzen 5600G TrueNAS SCALE, Docker Image v0.6.0-beta / v0.6.2-beta ✅ Yes -
#25 CPU: i5 6th gen, i5 8th gen, ARM Raspberry PI 5 K3S cluster, Docker Image :devel ✅ Yes -
#39 CPU: Ryzen 5 3600 Bazzite (Fedora Atomic), Docker Image v0.6.4-beta ✅ Yes -
#55 CPU: Intel (32c), GPU: Nvidia RTX 3060 Docker Swarm/single docker, Navidrome ✅ Yes Analysis failed for high-res FLACs. Developer added fallbacks, but the issue was ultimately a problem with Navidrome's media library indexing, fixed by the user running a full scan in Navidrome.
#62 CPU: Intel Xeon W-2125 Proxmox-VE LXC (Debian), Docker Image v0.6.5-beta ✅ Yes -
#66 CPU: E5-2697 Docker Compose (via Portainer), Navidrome 0.58.0 ✅ Yes -
#67 CPU: Intel i7-10850H Arch Linux, Docker Image latest-nvidia ✅ Yes -
#69 CPU: Ryzen 5 PRO 4650G Ubuntu 24.04.3 LTS, Docker Image v0.6.7-beta ✅ Yes -
#73 CPU: Intel core i5 1035G1 Docker Compose, Jellyfin 10.10.7 ✅ Yes Database showed zero tracks after analysis. A bug related to float precision on certain CPUs was fixed by casting to Float32 in the :devel branch.
#74 CPU: Amd Ryzen 3600 Docker Compose, Navidrome v0.58.0 ✅ Yes -
#65 CPU: N100 Docker Compose, Navidrome ✅ Yes -
#93 CPU: AMD Ryzen AI 9 HX 370 w/ Radeon 890M 64bit Podman with docker-compose (v5.6.1), Jellyfin v10.10.7, AudioMuse-AI v0.6.8-beta 🚧 In Progress A bug with CPU-specific behavior was fixed in the :devel branch by adding ENV TF_ENABLE_ONEDNN_OPTS=0. Probably a new parameter will be added in deployment/yaml file.
#56 CPU: Intel Celeron CPU N3160 Docker Compose, Unraid 7.1.4 ❌ No Flask app failed with an Illegal instruction error. This is a hardware limitation: TensorFlow requires AVX CPU support, which the Celeron N3160 lacks.