Qualcomm Announces Snapdragon 835 to Support Samsung Galesian S8 Regional Editions

Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, announced today that its top mobile platform will support Samsung regional versions of the new flagship smartphone Samsung Galesia S8. The Samsung Galleria S8 is equipped with the Qualcomm® SnapdragonTM 835 mobile platform, including the first commercial system-on-chip (SoC) manufactured using 10-nanometer FinFET process technology and integrated with the Snapdragon X16 LTE modem. This powerful platform enables the Galleria S8 to support Gigabit LTE, provide fiber-like mobile Internet speeds, and achieve more consistent mobile data transmission performance in more places. The Galleon S8 is the first smartphone to use Qualcomm® TruSignalTM adaptive antenna tuning technology for carrier aggregation. This technology will provide a more consistent voice and data experience both indoors and outdoors. Compared with the previous-generation flagship processor, the Snapdragon 835 has a package size reduction of about 35% and a power consumption reduction of about 25%, which means longer battery life and a slimmer design. The mobile platform also supports next-generation immersive entertainment experiences such as mobile virtual reality (VR) and advanced still photo and video capture.

Alex Katouzian, senior vice president and general manager of mobile business at Qualcomm Technologies, Inc., said: “We are very honored to continue our fruitful long-term cooperation with Samsung and bring the most advanced mobile experience to consumers through the new Samsung Galleria S8. Gigabit LTE and Mobile VR Samsung Golos S8, supported by the Snapdragon 835 mobile platform, is slim and light, delivering excellent battery life, immersive multimedia, extraordinary shooting experience, and Gigabit LTE speeds, providing today Mobile users are eager for a variety of experiences."

With the new Qualcomm® KryoTM 280 CPU and Qualcomm® HexagonTM 682 DSP, the Snapdragon 835 mobile platform delivers increased processing power and performance while meeting the requirements of next-generation VR designs such as the Samsung Gear VR supporting the GeForce S8. Strong performance requirements, as well as good heat dissipation and performance. Compared to the Adreno 530, the Snapdragon 835's Qualcomm® AdrenoTM 540 GPU delivers up to 25% more performance in 3D graphics rendering. The Snapdragon 835 also supports object-based and scene-based 3D audio, as well as 4K Ultra HD premium (HDR10) video with visual immersion, enabling the Samsung Galleria S8 to play HDR movies and other types of videos from major content publishers. The Qualcomm SpectraTM180 ISP is at the heart of the shooting experience. The dual 14-bit ISP supports the 8-megapixel front camera and 12-megapixel rear camera of the Galleria S8 to create the ultimate photo and ultra HD video capture experience. Advanced autofocus technology, combined with HDR's vivid color and perceptually quantized video coding, enhances still photo and video shooting experience. The Snapdragon 835 also integrates the Qualcomm HavenTM security platform to enhance the security of biometrics and terminal authentication. Users can also experience on the Galleria S8. In addition, with the advanced RF front-end (including Qualcomm Technologies' envelope tracker, impedance tuner, diversity receiver module, aperture tuner, low noise amplifier, splitter, and BAW filter), the signal performance of the Galleria S8, Energy efficiency and heat dissipation have been enhanced.

Robert Kim, vice president of product strategy at Samsung Electronics' mobile communications division, said: “Samsung values ​​the long-standing partnership with Qualcomm Technologies and is excited to collaborate with them on the Galesian S8. The Galesian S8 is the first in the mobile industry. Based on the 10-nanometer FinFET process technology developed and sold to consumers, this enables us to provide our customers with the best mobile experience, including the most advanced features in connectivity, immersive experience, machine learning and security."

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