PC Configuration Guide

This article will assist you in selecting the optimal computer for your 3D scanning and processing needs. What role each specific component plays in the scanning process, and what specific requirements the EXScan software has for these components (RAM, CPU, GPU) in different scanning scenarios, are described in detail below as well as how to view the various parameters mentioned in this article that you can easily view this information.

• General Requirements:
  This general requirement is reported to have a fluent scan with software by the users.

EXScan S can only be used with an Apple Silicon M series chip Mac. Only EinScan SE/ SP V2 are compatible with the EXScan S Mac version.

• Most of our customers are using:

• Operating System
  • What we have tested:
    • Windows 10, and 11 are compatible with EXScan Pro V3.7 and later, EXScan HX V1.3 and later, EXScan C V1.4 and later
    • EXScan S series, and EXScan H are compatible with Windows 10
  • Feedback from our customers
    • EXScan S series, EXScan H are running OK with windows 11

• CPU
  • Intel processors are compatible with EXScan, the minimum requirement would be an Intel Core i7-8700
  • Intel Xeon processors are not recommended, EXScan software will take advantage of high frequency rather than multiple cores, we recommend using the Intel Core series.
  • AMD CPUs listed below were reported by our customers that are compatible with EXScan and not all AMD CPUs are guaranteed to work with EXScan
    • Ryzen 9 6900HX
    • Ryzen 9 5900HX
    • Ryzen 7 5800H
    • Ryzen 7 4800H
    • Ryzen 7 3700X
  • CPU benchmark tests for all CPUs can be found here. CPUs ranked higher on the list have better performance. (https://www.cpubenchmark.net/high_end_cpus.html)

• RAM
  • RAM is used to store scan data during the scanning process, and it is necessary to check the RAM usage during the scanning process
  • RAM usage is closely related to the number of points generated during scanning. When the higher resolution is selected, more points are generated during scanning and more RAM will be used
  • When doing non-texture scanning, the relationship between RAM size and the number of points generated is as follows: 32GB RAM can scan and generate approximately 24 mega points.

• GPU
  • Recommend using the Nvidia RTX/ GTX series
  • AMD graphics cards are not supported as EXScan will take advantage of CUDA technology from Nvidia.
  • GPU contributes significantly to the handheld scanner's auto-tracking function and texture mapping during mesh.
  • Handheld scanner auto-tracking driven by Nvidia CUDA, EXScan Pro V3.7, and later, EXScan HX V1.3 and later require the use of CUDA capability value greater than 5, a larger video memory can bring a better scanning experience.
  • A minimum of 960 CUDA cores are required by desktop scanners, and a minimum of 1280 CUDA cores are required by handheld scanners.
  • CUDA driver version should be up to 10.2 or later.
  • GPU benchmark tests for all GPUs can be found here. GPUs ranked higher on the list have better performance. (https://www.videocardbenchmark.net/high_end_gpus.html)

• Display  Compatibility

• The following display resolution and DPI confirms to work:
• 1920*1080 DPI: 100% / 125%
• 3840*2160 DPI: 100% / 200%
• 3840*1080 DPI: 100% /  125% /  150%
• 2560*1080 DPI: 100% /  125% /  150%
  
  

• General Information
  • Laptops should be set to high-performance mode (balance mode may cause texture corruption)
  • How to check your PC configuration in detail
    • Run → cmd → dxdiag
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    • You can Save All Infomation and share the file with us.

• How to check the number of CUDA cores and CUDA version
  • Nvidia control panel → system information
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• How to update your graphic driver
  • Warning prompts up
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  • Go to the Nvidia driver site download and install or install Nvidia driver manager

Q: Which GPUs support running CUDA-accelerated applications?

CUDA is a standard feature in all NVIDIA GeForce, Quadro, and Tesla GPUs as well as NVIDIA GRID solutions.  A full list can be found on the CUDA GPUs Page.

Q: What is the "compute capability"?

The compute capability of a GPU determines its general specifications and available features. For a details, see the Compute Capabilities section in the CUDA C Programming Guide.

*Submit ticket on support.einscan.com if you have any questions.