telephony-macbook-air-catalina

Intel Core i5-4250U testing with a Apple MacBook Air and Intel HD 5000 2GB on macOS 10.15.7 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2210305-PROG-TELEPHO01
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
telephony-macbook-air-catalina
October 23 2022
  2 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

telephony-macbook-air-catalina

Processor: Intel Core i5-4250U @ 1.30GHz (2 Cores / 4 Threads), Motherboard: Apple MacBook Air, Chipset: Apple SSD, Memory: 2 x GB DDR3-1600MHz, Disk: 121 33GB APPLE SSD TS0128F, Graphics: Intel HD 5000 2GB, Monitor: Color LCD

OS: macOS 10.15.7, Kernel: 19.6.0 (x86_64), Compiler: Clang 12.0.0 + GCC 12.0.0, File-System: APFS, Screen Resolution: 1366x768

Environment Notes: XPC_FLAGS=0x0
Processor Notes: CPU Microcode: 38
Python Notes: Python 2.7.16 + Python 3.10.8

telephony-macbook-air-catalinaOpenBenchmarking.orgPhoronix Test SuiteIntel Core i5-4250U @ 1.30GHz (2 Cores / 4 Threads)Apple MacBook AirApple SSD2 x GB DDR3-1600MHz121 33GB APPLE SSD TS0128FIntel HD 5000 2GBColor LCDmacOS 10.15.719.6.0 (x86_64)Clang 12.0.0 + GCC 12.0.0APFS1366x768ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorOSKernelCompilerFile-SystemScreen ResolutionTelephony-macbook-air-catalina BenchmarksSystem Logs- XPC_FLAGS=0x0- CPU Microcode: 38- Python 2.7.16 + Python 3.10.8

VOSK Speech Recognition Toolkit

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterVOSK Speech Recognition Toolkit 0.3.21telephony-macbook-air-catalina918273645SE +/- 0.30, N = 339.52

eSpeak-NG Speech Engine

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.

telephony-macbook-air-catalina: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: espeak: line 3: ./espeak-ng: No such file or directory

DeepSpeech

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

telephony-macbook-air-catalina: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Reason: image not found

telephony-macbook-air-catalina

Processor: Intel Core i5-4250U @ 1.30GHz (2 Cores / 4 Threads), Motherboard: Apple MacBook Air, Chipset: Apple SSD, Memory: 2 x GB DDR3-1600MHz, Disk: 121 33GB APPLE SSD TS0128F, Graphics: Intel HD 5000 2GB, Monitor: Color LCD

OS: macOS 10.15.7, Kernel: 19.6.0 (x86_64), Compiler: Clang 12.0.0 + GCC 12.0.0, File-System: APFS, Screen Resolution: 1366x768

Environment Notes: XPC_FLAGS=0x0
Processor Notes: CPU Microcode: 38
Python Notes: Python 2.7.16 + Python 3.10.8

Testing initiated at 23 October 2022 05:16 by user progdan.