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Systematic benchmarking evaluates text-to-speech performance on consumer Apple Silicon, indicating practical applicability.
We present the first systematic benchmark of GPT-SoVITS, an open-source few-shot text-to-speech system, running entirely on consumer Apple Silicon hardware. We identify and resolve seven critical platform incompatibilities, including pervasive float16 precision errors. Using a MacBook Pro M4 Pro (24GB), we fine-tune a voice model on 37 minutes of speech data in ~70 minutes and achieve 1.5-second end-to-end latency for a real-time voice agent. Our complete toolkit is released as open source. Code: https://github.com/akhilsingh-git/voice-clone-toolkit
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Akhil Singh (2026) studied this question.
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