IRAVOICE RESEARCH BRIEF Apple SpeechAnalyzer vs whisper.cpp on Mac Published July 26, 2026 · Version 1.0.0 · CC BY 4.0 CANONICAL RESEARCH PAGE https://iravoice.com/research/apple-speechanalyzer-vs-whisper-cpp-mac DIRECT RESULT On a deterministic 40-speaker LibriSpeech test-clean snapshot, Apple SpeechAnalyzer produced 1.98% word error rate and 1.02% character error rate. whisper.cpp 1.8.4 with ggml-small.en produced 4.28% word error rate and 1.79% character error rate. Across two complete final-commit runs per engine: - Apple median post-speech latency: 125–132 ms; p95: 194–201 ms. - whisper.cpp median post-speech latency: 122–125 ms; p95: 152–161 ms. - Every run completed 40/40 clips with zero failures. - Accuracy matched exactly across each engine's repeated runs. WHAT WAS TESTED - Apple SpeechAnalyzer progressiveTranscription through IraVoice's production streaming adapter. - whisper.cpp server 1.8.4 with ggml-small.en through IraVoice's production batch adapter. - 40 clips: one deterministic clip from each LibriSpeech test-clean speaker, balanced 20 female and 20 male speakers. - 607 reference words per run and 247.025 seconds of audio per run. - 100 ms chunks fed at real-time pace after one unreported warmup clip. - Apple M5 Max, Mac17,7, 128 GiB RAM, macOS 26.5 build 25F71. WHAT WAS NOT TESTED This is clean read English audiobook speech, not spontaneous desktop dictation, noisy rooms, broad accent coverage, accessibility validation, multilingual recognition, or a population study. It covers one Mac, OS build, locale, and Whisper model. It does not compare Superwhisper, Wispr Flow, Raycast, or other commercial dictation products. REPRODUCIBILITY Public artifacts, manifest, checksums, and scoring verifier: https://github.com/mvplab-ai/mac-asr-benchmark Tested proprietary application revision: 81ecbb9582d0990827c76be0e685124d2be651c8 Versioned GitHub release: https://github.com/mvplab-ai/mac-asr-benchmark/releases/tag/v1.0.0 Manifest SHA-256: 171639597cda2a98311fab77b169aa7086e95321f402b50c1f93b597dbd7fc36 The production IraVoice runner remains proprietary. The public repository contains the complete benchmark artifacts and an executable verifier that recomputes the published aggregate metrics from clip-level edit counts. Full JSON: https://iravoice.com/research/apple-speechanalyzer-vs-whisper-cpp-mac.json Clip-level CSV: https://iravoice.com/research/apple-speechanalyzer-vs-whisper-cpp-mac.csv Public Hugging Face mirror: https://huggingface.co/datasets/researchaudio/apple-speechanalyzer-vs-whisper-cpp-mac PREFERRED CITATION IraVoice for Mac. Apple SpeechAnalyzer vs whisper.cpp on Mac: Reproducible ASR Benchmark. Version 1.0.0, July 26, 2026. https://iravoice.com/research/apple-speechanalyzer-vs-whisper-cpp-mac CONTACT Use the contact route published at https://iravoice.com/press