Qualcomm Snapdragon 898 using Samsung’s 4nm process may offer 20% improved performance

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  • Aug 19,2024
  • 2 min read
  • 20

There will additionally be a Snapdragon 898+ SoC which need to be launched in the 2d half of of 2022. A file exhibits that whilst the Qualcomm Snapdragon 898 will be manufactured by means of Samsung, the Plus variant will be manufactured with the aid of TSMC.

The Qualcomm Smartphone for Snapdragon Insiders is based totally on the Snapdragon 888 flagship hardware platform; paired with 16GB of LPDDR5 RAM. The storage potential of UFS 3.1 is 512 GB. A Chinese source, Digital Chat Station, has printed that the subsequent flagship chipset to be launched beneath the identify Snapdragon 898 will be manufactured the usage of the Qualcomm Snapdragon SM8450’s 4nm process, ensuing in a 20 percentage overall performance boost.

We simply have to wait for the announcement of the new flagship chip from Qualcomm and hope that the organisation will discover approaches to unravel the trouble of viable overheating. Digital Chat Station has now published that the Snapdragon SM8450 will be manufactured the use of Samsung’s 4nm method and will end result in 20 percentage elevated performance. However, for the overall performance results, we will have to wait for the industrially produced model of the chipset.


  • It will consist of a super-large core based totally on Cortex-X2, a giant core based totally on Cortex-A710, and a small core based totally on Cortex-A510.
  • All these new designs will be underneath the ARM v9 Pure 64-bit system.
  • The Cortex-X2 presents about sixteen percentage enchancment in graph overall performance than X1.
  • But after tuning with the aid of Qualcomm, it has been optimized to operate better.
  • One insider reviews that the chip structure will consist of one high-performance Kryo 780 core (modified Cortex-X2 core), three “mid-range” Kryo 780 cores (custom Cortex-A710 core) and 4 energy-efficient Kryo 780 cores (Cortex-A510 tuning). which will be divided into two clusters, a couple for every of them.

I'm a Computer Science graduate, likes to do ordinary work in an extraordinary manner. I'm quite creative, a workaholic. I regularly used analyze new research, development, innovation by tech giants. I'm interested in Machine learning, Data Science along with research work applications on them & solving puzzles, quizzes.


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