raw/full-results.json

{
  "schema_version": 1,
  "title": "Apple SpeechAnalyzer vs whisper.cpp on Mac",
  "canonical_url": "https://iravoice.com/research/apple-speechanalyzer-vs-whisper-cpp-mac",
  "published_at": "2026-07-26",
  "license": "CC BY 4.0",
  "source_repository": "https://github.com/mvplab-ai/mac-asr-benchmark",
  "source_release": "https://github.com/mvplab-ai/mac-asr-benchmark/releases/tag/v1.0.0",
  "dataset_mirror": "https://huggingface.co/datasets/researchaudio/apple-speechanalyzer-vs-whisper-cpp-mac",
  "source_commit": "81ecbb9582d0990827c76be0e685124d2be651c8",
  "source_visibility": "private",
  "manifest_sha256": "171639597cda2a98311fab77b169aa7086e95321f402b50c1f93b597dbd7fc36",
  "dataset": {
    "archive_md5": "32fa31d27d2e1cad72775fee3f4849a9",
    "license": "CC BY 4.0",
    "name": "LibriSpeech ASR corpus",
    "selection": "One clip from each of the 40 test-clean speakers. For each speaker, choose the first clip in lexicographic transcript order with 8-20 reference words and 4-10 seconds of audio. The source split contains 20 female and 20 male speakers.",
    "source_url": "https://www.openslr.org/12",
    "split": "test-clean"
  },
  "environment": {
    "hardware_model": "Mac17,7",
    "operating_system": "Version 26.5 (Build 25F71)",
    "physical_memory_bytes": 137438953472,
    "processor": "Apple M5 Max"
  },
  "protocol": {
    "engines": "The benchmark invokes IraVoice's production Apple SpeechAnalyzer and whisper.cpp server adapters.",
    "pacing": "The same 16 kHz mono audio is fed in 100 ms chunks at real-time pace.",
    "accuracy": "WER and CER are micro-averaged after case, punctuation, Unicode-width, and diacritic normalization. Digits are not rewritten as words.",
    "latency": "Post-speech latency starts after the final audio chunk is appended and ends when the complete raw transcript returns. Formatting and insertion are excluded.",
    "warmup": "The first clip is run once as an unreported warmup before all 40 clips are measured.",
    "repetitions": "Two complete final-commit runs were recorded per engine on the same machine and OS."
  },
  "direct_answer": "On this 40-speaker LibriSpeech test-clean snapshot, Apple SpeechAnalyzer produced 1.98% WER and whisper.cpp small.en produced 4.28% WER. Repeated post-speech latency overlapped: Apple median 125-132 ms and p95 194-201 ms; whisper.cpp median 122-125 ms and p95 152-161 ms.",
  "limitations": [
    "This is clean read audiobook speech, not spontaneous desktop dictation.",
    "The 40 clips are a deterministic speaker-balanced snapshot, not the complete LibriSpeech test-clean split.",
    "The results cover one Apple M5 Max running macOS 26.5 and one whisper.cpp model.",
    "The results do not establish noisy-speech, accented-speech, multilingual, accessibility, or population-wide performance.",
    "Apple SpeechAnalyzer is streaming while this whisper.cpp server path is batch; only the disclosed post-speech interval is compared.",
    "IraVoice publishes the study and ships the Apple engine. The production application source remains proprietary; the public repository contains the complete artifacts, manifest, checksums, and scoring verifier rather than the runner source."
  ],
  "engine_summaries": [
    {
      "engine_id": "apple",
      "engine_name": "Apple SpeechAnalyzer",
      "model_label": "macOS SpeechAnalyzer progressiveTranscription",
      "streaming": true,
      "run_count": 2,
      "successful_clips_per_run": 40,
      "word_error_rate_percent": 1.98,
      "character_error_rate_percent": 1.02,
      "post_speech_latency_median_ms_range": [
        125,
        132
      ],
      "post_speech_latency_p95_ms_range": [
        194,
        201
      ]
    },
    {
      "engine_id": "whisper",
      "engine_name": "whisper.cpp server",
      "model_label": "whisper.cpp 1.8.4 · ggml-small.en",
      "streaming": false,
      "run_count": 2,
      "successful_clips_per_run": 40,
      "word_error_rate_percent": 4.28,
      "character_error_rate_percent": 1.79,
      "post_speech_latency_median_ms_range": [
        122,
        125
      ],
      "post_speech_latency_p95_ms_range": [
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        161
      ]
    }
  ],
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      "chunk_milliseconds": 100,
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          "hypothesis": "Saturday, August 15th. The sea unbroken all round. No land in sight.",
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