Google has lifted the ban on its Pixel 8 and Pixel 8 Pro phones that prevented users from being able to freely install popular benchmarking apps like Geekbench and 3D Mark. In a highly unusual move, Google implemented the ban during the review embargo period for the Pixel 8 series phones before their public release. This prevented reviewers from properly testing Google’s marketing claims about the chip G3 tensioner bracket Who equips the phones Pixel 8 And Pixel 8 Pro -Unless they know how to download apps manually.
After the devices were officially launched and the review embargo period ended, what was most surprising was to learn that the ban remained in place and that regular Pixel 8 and Pixel 8 Pro customers were also blocked from installing benchmarking apps via the Play Store. However, after the question was raised in Our article from yesterdayGoogle later lifted the ban and users can now install benchmarking apps on their devices via the Play Store. It now appears that the ban on measuring app performance, which was extended to regular users once the devices went on sale, was unintentional, unlike Google’s efforts to ban reviewers.
During the recent Pixel launch, Google tried to downplay this The company emphasizes the importance of performance, and instead tries to emphasize the AI functionality of its devices. This strategy was somewhat forced on the company, as its partner Samsung Foundry was unable to maximize the performance potential of Google’s Tensor designs. There was hope that the Tensor G3 would be able to correct the shortcomings in terms of performance and efficiency, as it uses a more modern system. Architecture from previous Tensor G2.
However, the results Geekbench (processor performance), 3D sign (GPU performance) and its efficiency https://x.com/Golden_Reviewer/status/1712878926505431063?s=20 After it surfaced, Google’s extraordinary efforts to prevent the results from being widely disseminated became clear. The Tensor G3 clearly doesn’t live up to Google’s promises to be “ultra-fast and efficient,” though Google’s usual software-based AI processor helps make up for some of these shortcomings — as has been the case in the past.
