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TTS Bench — Samples — 2026-05-25_0037

Rig: windows-5090 — AMD Ryzen 9 9950X3D 16-Core Processor (16C) · NVIDIA GeForce RTX 5090 32GB · 126 GB RAM · Windows 11
Label: patch · default voice · fixed + MOSS
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.

Prompt 1

[en]"Open the browser and read my email."
Rank Model Device TTFA warm Audio
1 F5-TTS v1 cuda 778ms
2 IndexTTS-2 cpu 2.04s
3 MOSS-TTS-Nano cuda 2.57s
4 MOSS-TTS v1.0 cuda 2.72s
5 IndexTTS-2 cuda 2.74s
6 MOSS-TTS-Nano cpu 2.99s
7 F5-TTS v1 cpu 45.35s

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 F5-TTS v1 cuda 735ms
2 MOSS-TTS v1.0 cuda 3.94s
3 IndexTTS-2 cuda 4.16s
4 IndexTTS-2 cpu 4.23s
5 MOSS-TTS-Nano cpu 4.47s
6 MOSS-TTS-Nano cuda 5.23s
7 F5-TTS v1 cpu 58.82s

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 F5-TTS v1 cuda 1.03s
2 MOSS-TTS v1.0 cuda 8.40s
3 MOSS-TTS-Nano cuda 10.45s
4 IndexTTS-2 cpu 11.13s
5 MOSS-TTS-Nano cpu 11.83s
6 IndexTTS-2 cuda 12.58s
7 F5-TTS v1 cpu 77.80s

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 F5-TTS v1 cuda 836ms
2 MOSS-TTS-Nano cuda 3.67s
3 IndexTTS-2 cpu 4.29s
4 IndexTTS-2 cuda 4.64s
5 MOSS-TTS v1.0 cuda 4.90s
6 MOSS-TTS-Nano cpu 5.00s
7 F5-TTS v1 cpu 58.87s

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 MOSS-TTS-Nano cuda 2.67s
2 MOSS-TTS v1.0 cuda 3.74s
3 MOSS-TTS-Nano cpu 3.89s