Google Tensor G6 Chip Likely To Launch With An Ancient GPU That Debuted Around 5 Years Back

Google's penchant for hobbling its mobile SoCs continues with the Tensor G6 chip, which is likely to sport a GPU that launched back in 2021!

Google's Tensor G6 chip is likely to feature a GPU that debuted around 5 years ago, specifically in 2021. This GPU is outdated compared to current standards, with more recent models offering significant performance improvements. The Tensor G6 chip is expected to power Google's upcoming smartphones, which may impact their overall performance and capabilities. According to reports, the GPU in question is the Mali-G78, which was first introduced in 2021.

The use of an outdated GPU in the Tensor G6 chip may affect the price of Google's upcoming smartphones, as the company may be able to reduce costs by using older technology. This could result in more affordable devices for consumers, with Google potentially passing the savings on to customers. However, the trade-off may be reduced performance and capabilities, particularly in graphics-intensive applications. The price difference could be significant, potentially in the range of $50 to $100.

Google's decision to use an outdated GPU in the Tensor G6 chip is part of a larger trend, as the company has consistently prioritized machine learning and artificial intelligence capabilities over raw processing power. This approach has allowed Google to differentiate its smartphones from competitors, but it may also limit their appeal to gamers and other users who require high-performance devices. Insiders know that Google's focus on AI and ML is driven by its desire to improve the overall user experience, rather than just focusing on raw specs.

The Tensor G6 chip is expected to be announced in the coming months, with Google's upcoming smartphones likely to be released in the fall. Investors and analysts will be watching closely to see how the market responds to the new devices, particularly in terms of sales and customer satisfaction. One surprising detail is that the outdated GPU may actually be a deliberate design choice, rather than a cost-cutting measure, as it may be optimized for specific AI and ML workloads that are critical to Google's overall strategy.