Read Also: Chip Shortage is Not the Only Reason why Apple, Facebook, Google, Tesla, and MORE are Designing their Semiconductors Google Tensor Chip on Google Pixel 6
Thus, there is not much real-life usage data available out there to further prove that the Tensor chip actually lags behind an aging Apple chip.
Google tensor geekbench pro#
However, it is worth noting that the Google Pixel 6 and the Google Pixel 6 Pro have yet to release commercially.
Google tensor geekbench android#
On top of that, even if Google's Tensor failed to beat Apple's old SOC, it still competes fairly with most Android flagship offerings in the market. The disappointing numbers of the Pixel 6 Pro could still massively improve through some optimization, but it still shows its limits. Nevertheless, WCCFTech further noted in the same report that benchmark results do not really tell the real-world performance of a device. No comment🤐 /a11E4EqAhQ- S Pain🎛️ is busy irl October 24, 2021 Google Pixel 6 Pro (2021) vs iPhone XS Max (2018) Geekbench result Recently, a Twitter user 9lekt compared the Geekbench results of Tensor with 2018s A12 Bionic processor. On the other hand, the chip of the Pixel 6 Pro got a 1012 single-core score and a 2760 multi-core score. Googles Tensor is a 5nm octa-core chipset with two Cortex-X1 cores clocked at 2.8GHz. Google Tensor: 4x Cortex-A55 1. The SOC or the iPhone XS got an 1117 single-core score and a 2932 multi-score score. CPU Multithread Benchmark: GeekBench 5 (crude Single/Multithread) In the multi-thread test. Multi-core performance was distant from rivals but the Tensor’s single-core performance has it rubbing shoulders with smartphone chip luminaries such as the Snapdragon 888 and Exynos 2100. To be precise, the Apple A12 Bionic outperformed Google's Tensor in both the single-core and multi-core benchmark scores. An apparent Geekbench 5 run for the Google Pixel 6 smartphone has been discovered, revealing the performance of the custom Tensor chip.
Google tensor geekbench upgrade#
The said SOC upgrade for the iPad in 2020 was touted by the iPhone maker to be a significant improvement from the performance of its predecessor, which carried the A10 processor, according to the report of Engadget. It is worth noting that the three-year-old A12 Bionic chip even made its way to Apple's 8th generation iPad last Sept. A12 Bionic ChipĪ Twitter user that goes by the name 9lekt provided an overview of the Geekbench 5 scores of both the A12 Bionic and Tensor SOCs, showing that the latter still has the power to boast given its age. And so far, what is clear is that the chip inside the Google Pixel 6 Pro is not the quickest choice. So, the earlier rumors might be true after all-but Google has yet to confirm it. How things will unfold as we close in on the launch of the phone scheduled for next month, time will tell, but we will be here to keep you updated with all the progress.As such, the latest benchmark results showed that the speed of Google's flagship chip is lagging behind even a three-year-old SOC from the Cupertino giant. Geekbench 4 is a complete benchmark platform with several types of tests.
These are early details about the Tensor SoC’s technical aspects and things are definitely going to be different. Google Tensor: Market (main) Smartphone: ISA: ARMv8-A (64-bit) Microarchitecture. In other details from the listing, we see that the Pixel 6 Pro will pack 12GB of RAM. Four efficient cores are also mentioned running at 1.80GHz.įrom this detail, we can decipher that Google will be packing four Cortex-A78 cores grouped in pairs and four Cortex-A55 cores.
The listing shows two cores running at 2.80GHz, a similar number running at 2.25GHz. But it’s the CPU setup that is more unconventional here. These numbers are frankly not what we would have expected. The Geekbench listing has revealed 414 single-core scores and 2074 multi-core scores. The chipset co-developed by Samsung is surfaced on Geekbench and the listing gives us early details of which way the next smartphone from Google is progressing. This is really for the first time that we are learning – however convincing it is – about the technical prowess of Google’s own chipset.
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