Whisper-Large-v3-Turbo-CoreML

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aufklarer/Whisper-Large-v3-Turbo-CoreML

kind: original
quant: bf16 (16-bit)
family: misc
modality: automatic-speech-recognition
root model: openai/whisper-large-v3-turbo
provider: aufklarer
license: mit
language: multilingual
context: —
library: coreml
vRAM (GB): —
size on disk: —
downloads: 1,521
likes: 0
created: —
last modified: 2026-07-01T19:52:57+00:00 (2026)
huggingface: https://huggingface.co/aufklarer/Whisper-Large-v3-Turbo-CoreML
tags: coremlwhisperautomatic-speech-recognitionasrspeechneural-enginesoniqomultilingualbase_model:openai/whisper-large-v3-turbobase_model:quantized:openai/whisper-large-v3-turbolicense:mitregion:us

benchmark	category	score	context	conf	evidence
WER FLEURS	speech-asr	16.6	`fleurs-ar_eg`	medium	\| `fleurs-ar_eg` \| 16.60% \| 5.63% \| 0.082 \| 12.8x \|
RTF	speech-asr	6.5		low	\| `fleurs-en_us` \| 5.55% \| 2.72% \| 0.065 \| 16.7x \|
WER FLEURS	speech-asr	6.28	`fleurs-fr_fr`	medium	\| `fleurs-fr_fr` \| 6.28% \| 2.70% \| 0.075 \| 14.0x \|
WER	speech-asr	5.55		low	\| `fleurs-en_us` \| 5.55% \| 2.72% \| 0.065 \| 16.7x \|
WER FLEURS	speech-asr	5.55	`fleurs-en_us`	medium	\| `fleurs-en_us` \| 5.55% \| 2.72% \| 0.065 \| 16.7x \|
CER	speech-asr	2.72		low	\| `fleurs-en_us` \| 5.55% \| 2.72% \| 0.065 \| 16.7x \|

none scraped.