Before Google even officially announced its custom Tensor chip, there was a rumour that the company wasn’t focused on making this SoC the fastest on the planet. Instead, the publication is likely to focus more on efficiency than anything else, and according to this benchmark, this rumour was true. Still, it’s shocking to see a flagship chipset that can’t compete with the A12 Bionic, a custom silicon Apple company released three years ago.
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Tensor will not be able to beat the A12 Bionic in both single-core and multi-core tests
The performance comparison shows Geekbench 5 points belonging to Tensor and A12 Bionic. Unfortunately, Apple’s chipset three years ago wins Tensor in both single-core and multi-core tests, and naturally, those numbers confuse potential customers. The first thing they are likely to ask themselves is why Google refrained from using Qualcomm as a supplier for the Snapdragon 888.
In this way, the Pixel 6 and Pixel 6 Pro would remain at least competitive with the smartphone camp of other Android flagships. While we agree that these figures are not disappointing, keep in mind that the comparison results tell only half of the story, and the things you see may not lead to actual performance. We also need to consider the optimization bits.
Qualcomm’s chipsets were no strangers to overheating, as evidenced by the Pixel 5a, which doesn’t even use the San Diego chip giant’s flagship connection. With Tensor, Google may have sacrificed the performance features of the Pixel 6 and Pixel 6 Pro, but hardware and software management make it possible for the operating system to run much more smoothly on the latest flagships than competing handsets with low landing and stuttering.
Disappointed single-core and multi-core results may also be due to Tensor’s energy-efficient side, and it’s possible that Google deliberately wanted the underpower of this chip to provide the best battery life for Pixel 6 and Pixel 6 Pro owners. You often browse the hardware attributes of your smartphone and you’ll be impressed with what’s published on paper, but you’re bitterly disappointed and furious at the awful levels of software optimization.
Google may have a different plan with its Tensor, but we are not expecting to see these results so early.
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