Text-to-speech Sourced statement

F5-TTS on Mac (Apple Silicon M1–M4)

Benchmark pending. We haven't measured this pair yet. Below is what the sources say about this hardware, quoted with links.

Unified memory shared by CPU and GPU. Runtime support varies a lot (Metal via whisper.cpp/MLX; PyTorch MPS is often partial).

EvidenceSourced statement
Commercial useNo
Licensecc-by-nc-4.0
Stated memoryNot stated
Device memory16 GB unified memory

Results

Benchmark pending. No measured numbers from us yet for F5-TTS on Apple Silicon. Get notified or send us your numbers (with the method).

What the sources say about Apple Silicon

  • Model authors README has dedicated Apple Silicon install instructions (stable PyTorch). source
    Caveat: Support statement only; non-commercial license (CC-BY-NC-4.0)

Method

We haven't run this pair. Everything on this page is quoted from the linked sources, with the source type labelled (model authors vs third parties). Vendor numbers are often measured under favourable conditions.

Run it

We haven't verified a run command for this device yet. Start from the official instructions: https://github.com/SWivid/F5-TTS.

Caveats

  • Support statement only; non-commercial license (CC-BY-NC-4.0)

New open speech models: will they run on your hardware?

One email a week: new open TTS/STT models, license gotchas, and what we measured on CPUs, Macs, Pis and consumer GPUs.