{"id":752727,"date":"2026-07-09T14:48:13","date_gmt":"2026-07-09T14:48:13","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/752727\/"},"modified":"2026-07-09T14:48:13","modified_gmt":"2026-07-09T14:48:13","slug":"tensor-g7-could-arrive-with-a-key-upgrade-thatll-make-nearly-everything-better-about-the-pixel-12-assuming-youre-incredibly-patient","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/752727\/","title":{"rendered":"Tensor G7 Could Arrive With A Key Upgrade That\u2019ll Make Nearly Everything Better About The Pixel 12, Assuming You\u2019re Incredibly Patient"},"content":{"rendered":"

\t\t\t0-20%: Unlikely – Lacks credible sources
\n\t\t\t21-40%: Questionable – Some concerns remain
\n\t\t\t41-60%: Plausible – Reasonable evidence
\n\t\t\t61-80%: Probable – Strong evidence
\n\t\t\t81-100%: Highly Likely – Multiple reliable sources<\/p>\n

The Tensor G6<\/a>\u00a0won\u2019t be a remarkable upgrade over the Tensor G5<\/a>, but we\u2019ve pretty much grown accustomed to Google\u2019s practices for the past few generations. Fortunately, the Tensor G7 is where this streak may be broken because a rumor claims that it\u2019s being tested with an upgrade that could boost the Pixel 12\u2019s overall capabilities. Here are more details for you.<\/p>\n

Both LPDDR5X and LPDDR6 RAM packaging are being tested with the Tensor G7, with Google likely to use the faster memory with the \u2018Pro\u2019 models<\/p>\n

Aside from mentioning that Samsung is preparing three generations of Exynos chipsets<\/a>, Reptalica also states on X that Google\u2019s Tensor G7 is being prepped with LPDDR5X and LPDDR6 RAM. While we have a hunch that the Mountain View will once again gimp the compute and graphics performance of the Tensor G7, it\u2019s this memory upgrade that can revolutionize the user experience.<\/p>\n

Given that Google is trailblazing the AI race, the LPDDR6 RAM upgrade on its upcoming SoC will result in higher memory bandwidth, making it an advantage when running on-device AI operations. We can also assume that switching to the faster and more efficient standard means Google will opt for a higher 96-bit bus width, removing the latency bottleneck and letting the CPU and RAM communicate faster.<\/p>\n

Since an LLM is stored in the memory first, the Tensor G7 could receive a massive AI performance boost, even if it means that the CPU and GPU will be a couple of generations behind the competition.<\/p>\n

Next gen Exynos codenames<\/p>\n

Exynos 2700 : Ulysses
Exynos 2800 : Vanguard
Exynos 2900 : Whistler<\/p>\n

Tensor G7 have LP5X and LP6 packaging variants in testing<\/p>\n

\u2014 Reptalica (@Reptalicant) July 9, 2026<\/a><\/p>\n

A pairing with LPDDR6 RAM could enable Google to incorporate better packaging for the Tensor G7, leading to better thermals<\/p>\n

Since a previous rumor claims that AI forced Apple<\/a>\u00a0to change the PoP (Package-on-Package) technology to Wafer-Level Multi-Chip Module Packaging (WMCM), we foresee Google making the same changes. After all, the last thing the Tensor G7 and the LPDDR6 RAM need is a packaging that\u2019ll compromise their thermals and adversely affect performance.<\/p>\n

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Also, we\u2019d like to address one part of the rumor. With both LPDDR5X and LPDDR6 variants being tested, it\u2019s likely that Google will play favorites and treat its \u2018Pro\u2019 models to faster, more efficient RAM. After all, the company made Zoned UFS (ZUFS) storage exclusive<\/a>\u00a0to the Pixel 10 Pro, Pixel 10 Pro XL, and Pixel 10 Pro Fold, allowing for better performance and endurance for its expensive smartphones, so who\u2019s to say that history won\u2019t repeat itself?<\/p>\n

Then again, with rising DRAM costs<\/a>, Google could scrap LPDDR6 memory support from the Tensor G7, seeing as how the company isn\u2019t a stranger when it comes to making trade-offs. In short, treat this rumor with a pinch of salt, and we\u2019ll return with more updates.<\/p>\n

News Source: Reptalica<\/a><\/p>\n

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\n\t\t\t\t\t\t\"Omar
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\n\t\t\t\t\tAbout the author<\/a>: Omar Sohail is a reporter and analyst for Wccftech’s mobile<\/a> section, specializing in the technology and business of the mobile industry. His expertise lies in the intricate hardware supply chain, covering developments in semiconductor manufacturing, chip lithography, and camera sensor technology.\t\t\t\t<\/p>\n

\n\t\t\t\tFollow Wccftech on Google<\/a> to get more of our news coverage in your feeds.\n\t\t\t<\/p>\n

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