OCRMyPDF

Apple M1 Pro testing with a Apple MacBook Pro and Apple M1 Pro on macOS 14.3 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 2402074-NE-OCRMYPDF124
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Result
Identifier
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Performance Per
Dollar
Date
Run
  Test
  Duration
OCRMyPDF Benchmark
February 07
  5 Minutes

OCRMyPDF Benchmark

Processor: Apple M1 Pro (10 Cores), Motherboard: Apple MacBook Pro, Memory: 16GB, Disk: 927GB, Graphics: Apple M1 Pro, Monitor: Color LCD

OS: macOS 14.3, Kernel: 23.3.0 (arm64), OpenCL: OpenCL 1.2 (Dec 20 2023 17:30:54), Compiler: GCC 15.0.0 + Clang 15.0.0 + Xcode 15.2, File-System: APFS, Screen Resolution: 3024x1964

Environment Notes: NVM_CD_FLAGS=-q
Python Notes: Python 3.11.7

OCRMyPDFOpenBenchmarking.orgPhoronix Test SuiteApple M1 Pro (10 Cores)Apple MacBook Pro16GB927GBApple M1 ProColor LCDmacOS 14.323.3.0 (arm64)OpenCL 1.2 (Dec 20 2023 17:30:54)GCC 15.0.0 + Clang 15.0.0 + Xcode 15.2APFS3024x1964ProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelOpenCLCompilerFile-SystemScreen ResolutionOCRMyPDF BenchmarksSystem Logs- NVM_CD_FLAGS=-q- Python 3.11.7

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 16.0.4Processing 60 Page PDF DocumentOCRMyPDF Benchmark510152025SE +/- 0.47, N = 1518.47

OCRMyPDF Benchmark

Processor: Apple M1 Pro (10 Cores), Motherboard: Apple MacBook Pro, Memory: 16GB, Disk: 927GB, Graphics: Apple M1 Pro, Monitor: Color LCD

OS: macOS 14.3, Kernel: 23.3.0 (arm64), OpenCL: OpenCL 1.2 (Dec 20 2023 17:30:54), Compiler: GCC 15.0.0 + Clang 15.0.0 + Xcode 15.2, File-System: APFS, Screen Resolution: 3024x1964

Environment Notes: NVM_CD_FLAGS=-q
Python Notes: Python 3.11.7

Testing initiated at 7 February 2024 15:02 by user bkeur.