Text-to-speech Sourced statement

NeuTTS Air 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 useYes
Licenseapache-2.0
Stated memoryNot stated
Device memory16 GB unified memory

Results

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

What the sources say about Apple Silicon

  • Model authors iMac M4 16 GB (CPU only, Q4_0 GGUF): 111 tokens/s. source
    Caveat: Tokens/s, not real-time factor

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.

Ways to run NeuTTS Air

RuntimePrecisionDocumented devices
neutts (PyTorch)fp32CPU, GPUsource
neutts[llama] (GGUF via llama.cpp)Q4_0 / Q8 GGUFCPU, Metal, CUDA, ROCmsource
neutts[onnx]ONNXCPUsource

Run it

pip install "neutts[llama]"   # GGUF backbones via llama-cpp-python; see README for Metal/BLAS build flags

Copied from the linked README. We haven't run it on this device.

Caveats

  • Tokens/s, not real-time factor

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.