How Does Kirin 970 on Huawei Mate 10 Compare to Apple A11 Chip?

Prayank

Huawei unveiled their latest Kirin 970 chipset which will power their upcoming Mate 10 flagship device and comes equipped to handle future AI techs and also has a neural processing unit for native AI processing.

Huawei CEO Richard Yu has made claims that their latest SoC that has been built using 10nm fabrication process with a 12-core GPU is better than the processors powering Apple and Samsung devices.

“Compared with Samsung and Apple, we have advantages. Users are in for much faster performance, longer battery life and more compact design,” Richard Yu told Reuters.

Kirin 970

  • Manufacturing Process: 10 nanometre
  • CPU: 8 x Cores (octa-core) up to 2.4 GHz
  • GPU: Mali G72 MP12 (12-core)
  • Cellular Modem: LTE Cat 18
  • Display Support: 2160p
  • Camera: Dual-camera with face and motion detection
  • Video Capture and Playback: Up to 4K Ultra HD @ 30 fps
  • Storage: UFS 2.1
  • Security: Security Engine InSE and TEE

The Kirin 970 packs more power than its predecessor, Kirin 960, and hence, provides 20 percent better performance and 50 percent increased efficiency. The 12-core GPU that comes with the Kirin 970 is sure going to be a delight for gamers.

Apple A11

While only two things are confirmed yet that the Apple A11 chipset will be built using the 10nm tech and manufactured by TMSC (Taiwan Semiconductor Manufacturing Company), numerous rumors have been afloat including its Geekbench listing.

  • Manufacturing Process: 10 nanometre
  • CPU: 6 x Cores (hexa-core) up to 2.74 GHz
  • GPU: Apple-designed (3-core)

Apple’s A11 Bionic chip uses two high-performance cores and four energy efficient cores on its A11 chipset, fitted with a second-gen performance controller which enables all six cores to function smoothly in-sync.

The Apple-designed 3-core GPU ensure 30 percent better graphics rendering than the A10. Huawei’s Neural Processing Unit (NPU) has been matched by the A11 Bionic chip with its neural engine.

The neural engine on the A11 chip allows it to perform up to 600 billion operations per second. This is useful for Face ID, AR and other complex tasks.

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Prayank

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Prayank

Bike enthusiast, traveller, ManUtd follower, army brat, word-smith; Delhi University, Asian College of Journalism, Cardiff University alumnus; a journalist breathing tech these days.