Google Pixel 10 series with Tensor G5 and Gemini Nano AI

Google's newly launched Pixel 10 series is facing widespread reports of underwhelming GPU performance from its 3nm Tensor G5 chip, despite its strong theoretical capabilities. The issue appears to be caused by the phones shipping with an outdated GPU driver, which is preventing the PowerVR DXT-48-1536 GPU from reaching its full potential even under heavy load. A newer, compatible driver from Imagination Technologies has already been released, and the fix now depends on Google pushing a software update to its new phones. #Google #TechGiants #Pixel10 #Smartphones #TensorG5 #SoC #Chipset #Chipsets #GPU #ImaginationTechnologies #TechNews #Smartphone #MobileTech #Performance #SoftwareUpdate https://lnkd.in/dCfbPExq

Recent Geekbench 6 results for the Google Pixel 10 Pro XL, running on its new Tensor G5 chip, indicate a substantial performance leap over its predecessor, with single-core and multi-core scores improving by 21% and 46%, respectively. However, the benchmark shows the Tensor G5 still trails behind the performance of Qualcomm's Snapdragon 8 Elite, suggesting Google's focus remains on balancing power with AI capabilities and software optimization rather than raw benchmark dominance. While these leaks are based on unfinished software, the results provide an early look at the performance of the latest Pixel flagship. #Google #TechGiants #ChipMaker #Smartphones #Pixel10Pro #SoC #Chipset #Chipsets #TensorG5 #Android #BenchMarks #Geekbench #MobileTechology #MobileTechnologyNews #TechNews #MobileTech #Pixel #ConsumerElectronics https://lnkd.in/dFRdYR4a

Google has made a bold move by switching from Samsung to TSMC for manufacturing its Tensor G5 chip, powering the upcoming Pixel 10 smartphone. This marks the first time a Pixel processor is produced by TSMC, utilizing their cutting-edge N3P 3nm-class process node, the most advanced foundry technology available today. The Tensor G5 promises impressive gains: a 34% speed boost over the Tensor G4 for general CPU tasks and a whopping 60% improvement in AI-driven performance. Thanks to TSMC's N3P, which offers a 5% speed increase at the same power or a 5-10% reduction in energy consumption at equivalent clock speeds, Google can deliver better efficiency and power management, crucial for mobile devices pushing AI boundaries. Why the switch? TSMC's superior yields and refined transistor designs at the 3nm level give it an edge, enabling higher performance with lower power draw. With mass production already underway, this could signal a shift in the foundry landscape, especially as competitors like Apple also eye TSMC's tech. Related News: https://lnkd.in/guX3kZXz #semiconductor #TSMC #Google #Samsung #Pixel10 #TensorG5 #N3Pprocess #3nn

Google just unveiled its 10th-gen flagship phones: the Pixel 10, Pixel 10 Pro, and Pixel 10 Pro XL. Fully embracing AI, with the new Tensor G5 chip and Gemini Nano, these devices promise faster speeds, smarter features, and next-level on-device AI. The design now includes Magnetic Qi2 wireless charging, the Pixel-specific “Pixelsnap” accessories, and a cleaner, sleeker look. Plus, Google pledges 7 years of Android and security updates. The cameras are upgraded with new zooming capabilities. The base Pixel 10 packs a 5× telephoto lens with up to 20× Super Res Zoom, while the Pro models are more advanced with Pro Res Zoom up to 100×, powered by AI image recovery. Pixel 10 series is now available for preorder starting from $799, with the Pro and Pro XL unlocked to early buyers with a year of Google AI Pro. Drop a comment and tell us which feature excites you the most. Follow us @thenxtbox for relevant and timely gadget updates like this. Video credit: @google #Technews #Nxtbox #Pixel10 #AIphones

First benchmarks of the newly released Google Pixel 10 Pro XL show that its Tensor G5 chip achieves a total AnTuTu score of 1,173,221, placing it on par with older flagship chipsets. While the CPU performance is a notable 15% improvement over the Pixel 9 series, the GPU performance is a worrying 20% drop, scoring lower than its predecessor and placing it in a similar performance bracket as a four-year-old Snapdragon chip. These initial results suggest that while the Tensor G5 brings solid CPU gains, its GPU performance is a significant disappointment. #Google #TechGiants #GooglePixel #Pixel10ProXL #TensorG5 #Smartphones #TechNews #Benchmarks #AnTuTu #MobileTech #Pixel10 #Android #SoC #Chipset #Chipsets #MobileTechnology #MobileTechnologyNews https://lnkd.in/djM9PGWA

Google has unveiled its Tensor G5, the first of its custom chips to be mass-produced by TSMC on a 3nm process, and it powers the entire Pixel 10 lineup. The new SoC features a '1+5+2' CPU cluster, a significant upgrade to its TPU that Google claims is 60% more powerful, and a 'Matryoshka' transformer model that makes on-device Gemini Nano tasks 260% faster and twice as efficient. While it reportedly lacks raw performance superiority over rivals and has no ray tracing support, the Tensor G5 brings major improvements to battery life, AI-powered features like a new ISP for low-light video, and is available for pre-order starting at $799, with a release date of August 28. #Google #TechGiants #ChipMaker #TensorG5 #Pixel10 #TSMC #Foundry #AIChip #Smartphones #SoC #Chipset #Chipsets #TechNews #Gemini #GooglePixel #MobileTech #MobileTechnologyNews https://lnkd.in/dwSgymrm

Google has introduced the Pixel 10 smartphone, which is powered by its new Tensor G5 application processor. This is a significant move as Google has reportedly switched from Samsung to TSMC as the chip's manufacturer, utilizing the latter's advanced N3P 3nm process. This strategic shift is expected to provide a substantial performance and efficiency boost, with Google claiming a 34% increase in CPU speed and a 60% improvement in AI-driven tasks, enabling features like magnetic wireless charging and a full seven years of software support. #Google #TechGiants #Pixel10 #Smartphones #TensorG5 #SoC #Chipset #Chipsets #TSMC #Foundry #Chips #Semiconductors #SemiconductorIndustry #ChipDesign #TechNews #Smartphones #AI #Innovation https://lnkd.in/dbAGxJNc

🟥 The recent leak of Pixel 10 Pro XL benchmarks provides an early look into Google's upcoming Tensor G5 SoC, indicating a substantial performance uplift compared to its predecessor, the Pixel 9 Pro XL. With Geekbench 6 scores revealing a 46% increase in multi-core and 21% in single-core performance, the Tensor G5 is set to push boundaries for mobile processing. These figures, coupled with the detailed CPU cluster configuration, suggest Google is making significant strides in optimizing its custom silicon. For the mobile technology industry, this signals a heightened level of competition in the high-end smartphone market, potentially influencing component choices and performance expectations across the board. While the GPU performance reportedly lags behind, the overall impressive CPU gains will certainly shape user experience and developer capabilities. #Pixel10ProXL, #TensorG5, #GooglePixel, #SmartphoneTech

Qualcomm is reportedly preparing to launch its next flagship smartphone chipset, the Snapdragon 8 Elite Gen 5, at a September 23 event. The new chip, which continues the use of in-house Oryon cores and will be built on TSMC's improved 3nm N3P process, is rumored to feature higher clock speeds for both its CPU and GPU, increased cache sizes, and a powerful NPU capable of 100 TOPS. Early benchmarks suggest a significant performance jump, with an alleged AnTuTu score exceeding 4 million points and notable gaming performance improvements. #Qualcomm #ChipMaker #Chips #SoC #Chipsets #Snapdragon #Snapdragon8EliteGen5 #Oryon #TSMC #Chipset #MobileTech #Smartphones #AI #Semiconductors https://lnkd.in/d8Vg8fYQ

Recent Geekbench 6 scores for the new Tensor G5 chip, featured in the Pixel 10 Pro, show surprisingly low GPU performance compared to the Tensor G4 and competing flagships. However, this is likely due to the phone's GPU drivers being outdated and stuck at Vulkan 1.1, causing the GPU to run at a significantly reduced clock speed of 396MHz. An update is expected to resolve these issues, as Google has historically improved Pixel GPU performance through driver updates, which will be necessary to showcase the full potential of the new TSMC-fabricated chipset. #Google #TechGiants #ChipMaker #Smartphones #Pixel10Pro #SoC #Chipset #Chipsets #TensorG5 #Android #BenchMarks #Geekbench #MobileTechology #MobileTechnologyNews #TechNews #MobileTech #Pixel #ConsumerElectronics #GooglePixel #Pixel10 #GPU #Smartphone #Performance #TSMC https://lnkd.in/dtfRs5hC