Recommended hardware - PIX4Dmatic


The following article describes the minimum and recommended hardware and software requirements for PIX4Dmatic. PIX4Dmatic supports both Windows and macOS platforms. 

Note: PIX4Dmatic supports GPU Hardware Acceleration for calibration, densification, and the generation of the orthomosaic. Currently, only NVIDIA GPU cards can contribute to this additional Hardware Acceleration. AMD cards and the macOS platform do not have the required CUDA acceleration technology.
Important: The calibration, densification, and skymasking processes will be significantly longer on macOS, when compared to a recommended Windows machine.

Minimum (Windows and macOS)

  • Windows OS: Windows 10 or 11 (64 bit).
  • macOS: Monterey or Big Sur.
  • CPU: Quad-core or hexa-core Intel i5.
  • GPU: Any NVIDIA GPU that supports OpenGL 4.1 or higher.
  • RAM:
    • 32 GB (2,000-5,000 images at 20 MP).
    • 64 GB (5,000-10,000 images at 20 MP).
  • Disk Space*:
    • 100 GB - 200 GB Free space (2,000-5,000 images at 20 MP).
    • 200 GB - 300 GB Free space (5,000-10,000 images at 20 MP).
Important: The maximum size of datasets that are being tested by Pix4D contain 10,000 images at 20 MP. We recommend splitting the datasets of more than 10,000 images into multiple projects in order to ensure optimal processing.

Recommended (Windows only)

  • Windows OS: Windows 10 or 11 (64 bits).
  • CPU: Intel i7, i9, Xeon, or AMD Threadripper.
  • GPU: GeForce  GTX 10 series, or RTX series.
  • RAM:
    • 64 GB (2,000-5,000 images at 20 MP).
    • 128 GB (5,000-10,000 images at 20 MP).
  • Disk Space*:
    • SSD, 150 GB - 250 GB Free space (2,000-5,000 images at 20 MP).
    • SSD, 250 GB - 350 GB Free space (5,000-10,000 images at 20 MP).
Note*: The recommended values for the available disk space do not include the space needed to store images and export results.
Important: This information reflects Pix4D's experience with testing and should be used as a general guide and not as a guarantee. On going development of macOS should see significant boosts to processing in future releases.

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