Examples of using Graphics processing in English and their translations into Korean
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Graphics Processing Units.
Testing of the quality of the 2D and 3D graphics processing.
Graphics processing units.
Graphics Processing Unit.
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Discrete and integrated graphics processing units(GPUs), and professional GPUs;
Graphics Processing Unit.
Microsoft claims that the 15-inch version has very powerful graphics processing power.
Graphics processing units.
You can use a wide range of graphics processing software in Win98/ Win2000/ Win XP en….
Graphics Processing Unit.
And now we have the ability to speed up and slow down the graphics processing speed with the[F3] and[F4] keys.
Graphics Processing Units.
Each processor may include one or more CPUs, graphics processing units, and programmable DSP units.
Graphics Processing Units.
Another good thing that AnTuTu Benchmark 7.1.1 APK will check is the GPU(Graphics Processing Unit).
Graphics processing unit gpu.
Each processor may include one or more of a CPU, a graphics processing unit, and a programmable DSP unit.
Graphics Processing Unit 235.
Alternatively, more than one video frame may be generated within Graphics Processing Unit 235 at the same time.
Graphics Processing Units(GPUs).
As shown, device 100 also includes a graphics processor 938(e.g., for graphics processing functions).
GPU Chip, Graphics Processing Unit N16P-GT1-A2-Graphic Card Chipset Brand new& original.
And a local frame buffer operatively coupled to the graphics processing circuitry.
VR has a very high demand for graphics processing- 7 times higher than the requirements of computer games.
Introduced the revolutionary QuAI AI developer package to empower QNAP NAS optimized for AI and graphics processing for machine learning AI solution.
The GPU(Graphics Processing Unit) is a computer component similar to the CPU(Central Processing Unit).
This fabric sofa uses high-density yarn fabric and highlights the yarn texture in graphics processing, which provides a very good stereo feeling.
The Mali-G76 has 46% more graphics processing power than the previous generation and improves energy efficiency by 178%.
Moreover, training a deep neural network is computationally expensive and often requires custom hardware built using Graphics Processing Units(GPU).