Apple M1 testing with a Apple Mac mini and Apple M1 on macOS 12.0.1 via the Phoronix Test Suite.
Processor: Apple M1 (8 Cores), Motherboard: Apple Mac mini, Memory: 8GB, Disk: 229GB, Graphics: Apple M1, Monitor: Evanlak4K60
OS: macOS 12.0.1, Kernel: 21.1.0 (arm64), Compiler: GCC 13.0.0 + Clang 13.0.0 + Xcode 13.1, File-System: APFS, Screen Resolution: 3840x2160
Python Notes: Python 2.7.18 + Python 3.10.8
Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
Acceleration: CPU
Apple M1: The test quit with a non-zero exit status.
This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
Apple M1: The test quit with a non-zero exit status. E: espeak: line 3: ./espeak-ng: No such file or directory
VOSK is an open-source offline speech recognition API/toolkit. VOSK supports speech recognition in 17 languages and has a variety of models available and interfaces for different programming languages. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
Apple M1: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'vosk'
Processor: Apple M1 (8 Cores), Motherboard: Apple Mac mini, Memory: 8GB, Disk: 229GB, Graphics: Apple M1, Monitor: Evanlak4K60
OS: macOS 12.0.1, Kernel: 21.1.0 (arm64), Compiler: GCC 13.0.0 + Clang 13.0.0 + Xcode 13.1, File-System: APFS, Screen Resolution: 3840x2160
Python Notes: Python 2.7.18 + Python 3.10.8
Testing initiated at 17 October 2022 10:46 by user m1.