Image correction affects CPU, graphics, memory and storage. Recently, the GPU of the graphics card is widely used to display, process and export images, but CPU speed is also important, and high speed and large capacity are important for memory as a temporary storage destination for images. Of course, the faster the cache, the faster the processing. When it comes to video processing, you need even more specs than that.
The DAIV DD-I9G90 is equipped with the current top-level specifications, and is considered the most comfortable processing to date. Let’s try it.
In the CINEBENCH R23 test that measures CPU performance, the result is 2238 for single core and 31815 for multicore. Regardless of single core, multi-core performance is quite high performance. RAW development with Adobe Camera Raw uses the CPU, so it seems to be effective in such scenes.
3Dmark is used to measure GPU performance. Time Spy scored 29785, graphics 34943 and CPU 16062. PCmark 10 result is 9683.
test results
- CINEBENCH R23 (single core): 2238
- CINEBENCH R23 (multi-core): 31815
- 3Dmark Time Spy (Score): 29785
- 3Dmark Time Spy (Graphics): 34943
- 3Dmark Time Spy （CPU）: 16062
- Marc PC 10: 9683
Storage measured with CrystalDiskMark 8. Sequential read and write speeds are fast enough. This time it’s a standard BTO SSD, but if you use a fast Samsung SSD, you can expect even faster speeds.
CrystalCrystalDiskMark 8 results
Both show high performance, which is excessive for everyday use, but at a level that feels reliable when processing images and videos.
What about Lightroom Classic really? I loaded 100 RAW data from Nikon Z 9 and tested it. Although it is an image of a full-size sensor with about 45.71 million pixels, if it is about 100 images, the thumb display is fast and not checked, but of course the one-size display is also fast and doesn’t feel stuck. .
Change the setting item of “Use graphics processor” in “Camera Raw” in “Performance” from setting to “Off” (use CPU) and “Custom” (use GPU for all display, image processing, export) When exporting 100 images with automatic correction, it took 79 seconds on the CPU and 45.8 seconds on the GPU. The greater the number of sheets, the wider this difference will be, and the effect will be great when processing large amounts of data.
When you transfer an image to Photoshop and apply a filter, the CPU is working hard all at once. 32 cores are at work spectacularly
Opening 100 images in Photoshop used 56.7GB of memory. 64GB may be a little unsatisfactory, but BTO is expandable up to 128GB
Next, a test of video processing using Adobe Premiere Pro. I also used 4K and 8K Z 9 images. For the Z 9, it supports video recording from 120p to 24p in 4K (3,840 x 2,160). Additionally, you can shoot at 30p, 25p, and 24p at 8K (7,680 x 4,320). 8K has 33,177,600 pixels, so the resolution is sufficient even for extracting a still image, but it is difficult to process unless it is a fast machine because it is a video with such a capacity.
If you load the video file into Premiere Pro, you can edit even 8K video comfortably. You can move to any site with ease without getting caught in the preview application. It was comfortable to be able to apply multiple processes smoothly without stopping even with applying effects.
I tried to capture multiple 8K videos shot with the Z 9, but the speed doesn’t make me feel like it’s high definition. The seek bar can be moved quickly, so you can edit without lag
When I exported a 9.34GB 8K video (3 minutes 26 seconds) to a 4K H.264 video, it was 2 minutes 54 seconds, which was slightly faster than the actual time. The GPU is used to speed things up quite a bit. Of course, the longer it takes, the more time it will take, but it can be said that it has become possible to accelerate up to this point.
