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TTS Bench — Samples — 2026-05-30_2330

Rig: windows-5090 — AMD Ryzen 9 9950X3D 16-Core Processor (16C) · NVIDIA GeForce RTX 5090 32GB · 126 GB RAM · Windows 11
Label: leaderboard-parity new models (cloning) — for merge into windows-cloning — ref chris_hemsworth_15s.wav
5 prompt(s) · one section per prompt · all models ranked by warm TTFA (fastest first) within each
Each prompt section shows every model's audio output, ordered by warm TTFA (fastest first). Click any audio player to hear that model's rendering.

Reference voice

Each model below was given this clip + transcript as the voice to imitate. Source: chris_hemsworth_15s.wav

Prompt 1

[en]"Open the browser and read my email."
Rank Model Device TTFA warm Audio
1 StyleTTS 2 cpu 129ms
2 StyleTTS 2 cuda 140ms
3 VibeVoice 7B cuda 1.68s
4 Fish Speech 1.5 cuda 2.16s
5 Zonos v0.1 cuda 3.41s
6 Fish Speech 1.5 cpu 11.56s
7 Zonos v0.1 cpu 18.60s

Prompt 2

[en]"I'll start a new git branch, push the changes, and open a pull request when the tests pass."
Rank Model Device TTFA warm Audio
1 StyleTTS 2 cuda 173ms
2 StyleTTS 2 cpu 173ms
3 VibeVoice 7B cuda 3.50s
4 Fish Speech 1.5 cuda 5.49s
5 Zonos v0.1 cuda 7.85s
6 Fish Speech 1.5 cpu 30.34s
7 Zonos v0.1 cpu 47.31s

Prompt 3

[en]"The Parakeet TDT zero point six billion parameter model achieves one point six nine percent word error rate on LibriSpeech test-clean, beating Whisper Large V3 at two point seven percent while running at over two thousand times realtime on a single GPU."
Rank Model Device TTFA warm Audio
1 StyleTTS 2 cuda 306ms
2 StyleTTS 2 cpu 340ms
3 VibeVoice 7B cuda 9.65s
4 Fish Speech 1.5 cuda 20.28s
5 Zonos v0.1 cuda 23.91s
6 Fish Speech 1.5 cpu 107.15s
7 Zonos v0.1 cpu 157.87s

Prompt 4

[en]"Run pytest tests slash test underscore voice dot py with verbose flag and capture flag set to no."
Rank Model Device TTFA warm Audio
1 StyleTTS 2 cuda 228ms
2 StyleTTS 2 cpu 230ms
3 VibeVoice 7B cuda 4.60s
4 Fish Speech 1.5 cuda 7.20s
5 Zonos v0.1 cuda 8.48s
6 Fish Speech 1.5 cpu 36.09s
7 Zonos v0.1 cpu 49.51s

Prompt 5

[fr]"Bonjour, je m'appelle Cicero et je vais vous aider avec votre code aujourd'hui."
Rank Model Device TTFA warm Audio
1 Zonos v0.1 cuda 5.57s
2 Fish Speech 1.5 cuda 5.93s
3 Fish Speech 1.5 cpu 28.17s
4 Zonos v0.1 cpu 30.92s