Getting started

Recommended hardware - PIX4Dsurvey

The following article describes the minimum and recommended hardware and software requirements for PIX4Dsurvey. PIX4Dsurvey supports both Windows and macOS platforms.

Minimum (Windows and macOS)

  Windows_logo_-_2012 Windows Apple_logo_black.svg macOS
Operating System Windows 10 or 11 (64 bits) Sequoia (15.x) + Sonoma (14.x) + Ventura (13.x)
CPU Any CPU (AMD processor or Intel i3, i5, or higher) 
GPU Any GPU that supports OpenGL 4.1 or higher.
RAM 16GB
Disk space 10 GB on HDD

Recommended (Windows only)

  Windows_logo_-_2012 Windows
Operating System Windows 10 or 11 (64 bits)
CPU Quad-core or hexa-core Intel i7/ i9/ Xeon, AMD Threadripper
GPU GeForce GTX GPU compatible with OpenGL 4.1 or higher
RAM
  • 32 GB
  • 64GB (Point cloud size > 100 GB)
Disk space SSD

 

From version 1.64, PIX4Dsurvey will support Apple devices with Apple silicon processors (M1, M2, M4, and all variants). Apple devices with Intel processors should continue using PIX4Dsurvey version 1.63 and avoid future updates. Maintain the PIX4Dsurvey license according to hardware specifications. This update enhances compatibility with the latest hardware innovations.

Important: From PIX4Dsurvey version 1.61.1, macOS Monterey (12.x) is no longer supported.

Important: From PIX4Dsurvey version 1.46.0, macOS Big Sur (11.x) is no longer supported.
Information: When using Terrain filter, Grid of points, or Object detection algorithms, the RAM usage is high. For larger point clouds more RAM is needed.
Tip: If you have a discrete graphics card, you can set the graphics setting of Windows to allow you to use the high capability of the dedicated discrete graphics card.
How to set PIX4Dsurvey to use a discrete graphics card (Windows 10 and Windows 11).

Additional information about the component usage

CPU
RAM
Hard Disk
GPU

Low usage.

High usage during processing (Terrain filter and Grid of points).

Low usage.

High usage during the conversion of the point cloud, project creation, and processing (Terrain filter, Grid of points, Object detection).

Note: using .laz (compressed) requires more RAM than using .las files.

Highly depends on the size of the point cloud. The point cloud is read directly from the hard disk, therefore SSD disks are recommended.

Medium usage.

High usage during the Object detection.

Disclaimer: Pix4D publishes this information as a courtesy to its customers. Pix4D makes no warranty of any kind, expressed or implied, with respect to the content's validity or accuracy.