ai-tier/edge

Audio model benchmarks

Loading model count
Raspberry Pi 5 · 16 GB RAMAll performance measurements are for this device.

Speech & audio input

Transcription and spoken instructions

WER ↓ fewer word errors · Spoken IFEval ↑ better instruction following · error bars: 95% confidence interval

Accuracy & performance

Compare speech models

— = unavailable or outside the model’s tested tasks. Formats show language-model / audio-encoder precision. Speed and memory refer to the Raspberry Pi 5.

Audio run progress
Results table · 11 configurations

Word error rate (WER) counts missed, replaced and extra words per 100 reference words; lower is better and values can exceed 100%. Spoken IFEval tests following instructions read aloud; higher is better. A dash means no matching measurement is available.

All tested configurations. AI HAT results are labelled separately.
ModelClean speech WER · % ↓Harder speech WER · % ↓English sentences WER · % ↓German sentences WER · % ↓Spoken instructions · % ↑
Gemma 4 E2B IT4.49.8129.655
Gemma 4 E4B IT4.19.59.49.967
Qwen3-ASR 0.6B2.64.368.8—
Qwen3-ASR 1.7B1.83.34.35.2—
Voxtral Mini 3B4881432431
LFM2.5-Audio-1.5B2.34.46.6——
Qwen2.5 Omni 3B2.5259.11338
Ultravox 0.5 1B2472862209341
Qwen2.5 Omni 7B20688713526
LFM3-Audio-2B2.95.56.16.632
LFM3-Omni-2B2.85.46.27.166

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How to read these results

Transcription

Word error rate counts missed, changed and extra words per 100 reference words. Lower is better. Extra or repeated words can push it above 100%.

Spoken instructions

Spoken IFEval checks whether models follow requests read aloud, including answer formats. Higher is better. Transcription-only models do not receive an instruction score.

Speed and memory

Processing time counts seconds of work per second of audio; below 1 is faster than playback. Pi 5 measurements repeat the same recordings three times and include the audio encoder.

Changelog