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| Screen Capture from Apple |
In September, Apple released their latest generation flagship smartphones, the iPhone 8 and the iPhone X. Both of them feature the new A11 Bionic SoC. The CPU and GPU are all designed by Apple themselves, instead of licensing other manufacturers’ designs. Everyone starts running various benchmarks on their new iPhones, and finds out the results are astonishing. Geekbench/Primate Labs‘s founder, John Poole, is also impressed by iPhones’ big improvement in raw performance.
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In an interview from Tom’s Guide, John Poole questioned the lack of improvement for most Android flagship devices, in terms of CPU performance. The performance is stagnated.
At this time, most Android high-end phones are using the Qualcomm Snapdragon 835 SoC, such as the Samsung Galaxy S8, LG V30, and OnePlus 5. They get an approximate single-core score of 1950 and multi-core score of 6700.
When comparing with Apple’s last year chip, the A10 Fusion on the iPhone 7 and 7 Plus, the 835 is 44.3% behind the A10 in single-core score, and 12.6% higher in multi-core score. However, the 835 has a 8-core CPU, while the A10 only has 4 cores. The margins become even larger after the launch of the A11 Bionic SoC. The A11 beats every competition, having 4200 and 10400 in single-core and multi-core score respectively. This is about 115% and 55.5% better than the 835 in single-core and multi-core performance.
The A10 Fusion already matches the performance of the Intel Core m3 processors on the 12-inch Macbook. More impressive is the A11 Bionic even beats the Intel Core i5 on the 13-inch Macbook Pro in Geekbench.
From John Poole:
At this point, you’ve got desktop-class performance in a handset… I wouldn’t have thought to use my first-generation iPhone to edit video. I would’ve thought you were crazy.
John Poole thought Android phones are nowhere near what Apple is currently offering with the A11 SoC. He clarified that the scores between the A11 and Core i5 are comparable, but different form factors, heat dissipation and sustainability of performance are also important areas to consider. The massive increase in computing power will benefit the development of augmented reality (AR), virtual reality (VR) and machine learning.
Source from Tom’s Guide.
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