To determine your graphic card model and the currently installed driver, use the following command in a PowerShell terminal: Get-CimInstance CIM_VideoController | Select-Object -property 'VideoProcessor', 'DriverDate'.

We strongly recommend you load GPU drivers directly from the manufacturer and to consult their web pages regularly. Get the most out of DeepPRIME & DeepPRIME XD with the following tips:īe sure to update both your OS and your GPU drivers to the latest version available. Output quality, on the other hand, will still be exactly the same. Keep in mind though that processing time will increase significantly. Yes, DeepPRIME, although heavily optimized for GPU acceleration, can still be used on a computer that doesn’t match the recommended requirements, or that has an incompatible GPU (incompatible graphics cards are automatically disabled by DxO PureRAW). Is it still possible to use DeepPRIME & DeepPRIME XD even if I don’t have a recommended GPU? To compare and get an idea of a GPU's computational power, you can look at independent online benchmarks (e.g. On such GPUs you should expect a processing time of about 2 Mpx per second (or faster with better GPUs).

DxO DeepPrime leverages the native core ML software and the M1/M2 hardware GPU and uses Apple neural engine acceleration. Apple macOS recommended requirements: AMD Radeon™ Pro 580X or better for Intel® Macs.Microsoft Windows recommended requirements: NVIDIA RTX™ 2060, AMD Radeon™ RX 6600 or better with the latest drivers.

Using the resulting neural network to demosaic and denoise a picture is a very demanding computing task, and while such computational power would have been unthinkable just a few years ago, it is now possible thanks to modern GPUs (graphics processing units), which efficiently handle all the necessary 'heavy lifting'.ĭeepPRIME is fully GPU-optimized on Windows as well as on macOS.įor a better experience, be sure at least to match our recommended requirements: By looking at billions of noisy raw input samples and clean output samples, the neural network has developed a highly sophisticated raw conversion algorithm. DeepPRIME was created using a structure called a ‘deep neural network’ to mimic the behavior of a human brain. With DeepPRIME, DxO makes a giant leap forward in digital noise reduction: this is the most advanced denoising technology available on the market today. This information applies to version(s): 2, 3ĭeepPRIME* & DeepPRIME XD** hardware acceleration:

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