OPPO Unveils 6nm Cutting-edge Imaging NPU – MariSilicon X


Featuring best-in-class power efficiency, 20 bit ultra-high dynamic range, real-time RAW processing, and Enhanced RGBW Pro Mode. Enabling high-quality 4K AI Night Video and live preview on Android smartphones for the first time. Commercially available with the Find X Series in Q1 2022.

MariSilicon X

OPPO officially announced its first self-designed cutting-edge imaging NPU – MariSilicon X – at OPPO INNO DAY 2021. Built on 6nm process technology, MariSilicon X combines an advanced NPU, ISP, and multi-tier memory architecture to deliver incredible performance with incomparable power efficiency, which makes real-time RAW processing possible to capture stunning 4K AI Night Video with live preview.

“With more than a decade of experience in pushing the boundaries of image technology, OPPO has been behind some of the biggest innovations in the industry when it comes to camera modules, lenses, and algorithms,” said Jiang Bo, OPPO’s Senior Director, during the event. “Our new cutting-edge imaging NPU is the biggest leap we’ve taken so far, which brings more power to mobile imaging systems and will create extraordinary experience for our users.”

The Best of Both Worlds: Ultra Speed Meets High Efficiency
MariSilicon X’s NPU delivers an incredible 18 trillion operations per second (TOPS), more than enough computing power to support our AI algorithms. With a stunning power efficiency of 11.6 TOPS per watt, the NPU delivers top-level performance without draining battery.

The NPU also features a groundbreaking dedicated tera-bps memory subsystem, which allows MariSilicon X to make full use of the NPU’s computing power without being restricted by memory throughout, significantly reducing the time needed to copy data back and forth between storage and processing units.

MariSilicon X has a dedicated DDR with extra bandwidth of up to 8.5 GB/s. Its multi-tier memory architecture greatly minimizes delays and reduces power consumption caused by unnecessary repeated read-write cycles.

When running OPPO’s AI Noise Reduction Algorithm, MariSilicon X can achieve up to 20x faster performance compared with OPPO Find X3 Pro. MariSilicon X can capture 4K AI Night Video by applying complex enhancements to each frame in real-time.

Powerful ISP for Ultra HDR
MariSilicon X has a powerful ISP that enables images to be captured with an incredible 20bit 120db dynamic range – 4x greater than that of Find X3 Pro. It gives images a contrast ratio of 1,000,000:1 between the brightest and darkest areas of the image, better keeping images true to life.

Real-time RAW Processing
Thanks to its large computing power and high data throughput, MariSilicon X revolutionizes the imaging pipeline to directly perform real-time 4K AI processing and 20bit HDR fusion in the RAW domain at the pixel level. By processing original imaging data, MariSilicon X can achieve an 8dB signal-to-noise ratio for images, opening up a whole new world for computational photography.

RGBW Pro Mode Unlocks Pro Performance
Using Dual Image Pipeline design and double raw super sampling, MariSilicon X also unlocks the full potential of OPPO’s RGBW sensor, supporting the separation and fusion of RGB and White signals to deliver a 8.6dB improvement in signal-to-noise ratio and a 1.7x improvement in texture quality, making images more expressive in both photos and videos.

A Landmark Leap to 4K AI Night Video
As a dedicated imaging NPU, MariSilicon X marks a new era in computational photography. With its huge leap in both performance and power efficiency, it unleashes the power of AI Noise Reduction algorithms to create clearer and sharper videos. It also features greater dynamic range and better color reproduction, allowing each individual frame looking just as rich and defined as a still photo. It is the first time that 4K AI HDR Night Video capturing is made possible on Android phones.

MariSilicon X will make its commercial debut on the Find X Series in Q1 2022, bringing with it the most powerful imaging experience for the smartphone.

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