MediaTek MT6893 could be a tough competitor for Snapdragon 865 here’s the details-Techweu

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It’s been known for some time that MediaTek is working on an interesting new chip that has a similar architecture to Samsung Exynos 1080 and is based on TSMC’s 6nm development process.dubbing MT6893The next silicon can already raise some eyebrows with some leaked GeekBench 4 scores, showing that it outperforms MediaTek Dimensity 1000+ in single core performance. For even more impressive follow-up, there are some GeekBench 5 runs. This suggests that the MT6893 is a more powerful all-rounder in the CPU sector than the Dimensity 1000+, as seen in the Xiaomi Redmi K30 Ultra. It’s actually about the same as the flagship Snapdragon 865, as implemented within OnePlus 8.

Of course, the numbers provided by the scoresheet are just a single data point, and the performance differences are not accurate and not clearly set. However, the MT6893 is definitely formed as a powerful chip.


Also, there was some debate about the MT6893 specification, so sources are trying to reconfirm that specification. It has one primary Cortex-A78 core capped at 3.0 GHz, three other Cortex-A78 cores at 2.6 GHz and four more energy efficient Cortex-A55 cores that clock up at 2.0 GHz. .. GPU Division – Mali-G77MC9. There is still talk about the two potential variations of the chip. A theory further supported by the “v1_64” suffix at the end of the “alpsk6893” designation on the GeekBench scorecard.

GeekBench 5: MT6893
GeekBench 5: Xiaomi Redmi K30 Ultra (Dimensity 1000+)
GeekBench 5: OnePlus 8 (SD865)

GeekBench 5: MT6893 • Xiaomi Redmi K30 Ultra (Dimensity 1000+) • OnePlus 8 (SD865)

Unfortunately, we don’t yet have information on other aspects of the MT6893, such as DSPs and memory controllers. Most leaks seem to agree that providing LPDDR5 and UFS 3.0 respectively will improve support for LPDDR4X RAM and UFS 2.0 storage for Dimensity 1000+. Nevertheless, more important is the price range where new chips are destined. Hopefully it will follow in the footsteps of Dimensity and enable more budget-friendly devices.

Source (Chinese) | via

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