Google bans Pixel 8 from installing test software due to poor performance of self-developed chips

Not long ago, Google released the latest generation of flagship smartphones Pixel8 and Pixel8Pro, both equipped with its latest self-developed TensorG3 processor.TensorG3 is based on 9-core CPU architecture, including 1 Cortex-X3 ultra-large core clocked at 3.00GHz; 4 Cortex-A715 large cores clocked at 2.45GHz; 4 Cortex-A510 small cores clocked at 2.15GHz.

The GPU uses the 10-core ArmMali-G715 GPU, which supports hardware-level ray tracing acceleration capabilities like the Apple A17Pro..

However, recent news indicates that Google has taken extraordinary measures against Pixel8/8Pro.All new users after the release of Pixel 8 will not be able to directly download benchmarking tools including GeekBench and 3DMark through the App Store,Attempts to suppress dissemination of running score results.

GeekBench is a commonly used software for testing and scoring CPUs. It can get single-core and multi-core scores more intuitively. 3DMark is a testing software that evaluates GPU performance.In most mobile phone reviews, these two test software are important references.

Google is very aware of the relative shortcomings of the TensorG3 chip in terms of performance.And emphasized that the chip is designed with efficiency and artificial intelligence as the goals, rather than purely pursuing performance or running scores.. I have to mention Lei Jun’s words here: “Although running scores cannot fully represent the mobile phone experience, running scores are definitely the basis of the mobile phone experience."

Although Google prohibits users from installing these testing software, there are still ways to bypass this restriction, so TensorG3's Geekbench and 3DMark running scores were still exposed.

One of the Geekbench6 results shows that the TensorG3 chip on the Pixel 8 Pro phone scored 1760 in the single-core test and 4442 in the multi-core test.A far cry from Qualcomm Snapdragon 8Gen2 chip.

The efficiency test also shows that the GPU efficiency ranking of TensorG3 is also relatively low.It’s comparable to older chips like the Snapdragon 888.

What Google does is really like the Jin people hiding their ears and stealing their bells.