#Geekbench

News stories tagged with #Geekbench

Geekbench 6.7 Adds Intel iBOT Detection – Core Ultra X9 378H Officially Listed

Geekbench 6.7 introduces detection for Intel iBOT to accurately assess performance of Core Ultra 200 Plus processors, as iBOT boosts results through specialized code optimizations. Meanwhile, Intel has officially listed the Core Ultra X9 378H in its ARK database—a mobile Panther Lake chip with 16 cores and Intel 18A lithography—primarily for refined product segmentation.

Widely Covered

iQoo 15 Apex Edition, OnePlus 15T, and More: New Flagship Smartphones with Snapdragon 8 Elite Gen 5 Take the Market by Storm

The iQoo 15 Apex Edition has been officially launched, powered by the Snapdragon 8 Elite Gen 5. It joins a growing lineup of new smartphones including the OnePlus 15T, Oppo Find X9 Ultra, and Xiaomi 17 Max, all featuring the same high-performance chip. While iQoo debuts in India, Honor is teasing a more affordable mid-range option with the Honor 600 Pro. These devices highlight advancements in performance, camera technology, and battery life across the global smartphone market.

Widely Covered

AMD Unveils RDNA 4m with GFX1171 and GFX1172: New GPU Targets for Medusa Point and Future APU Generations

AMD is expanding its RDNA 4m GPU architecture with the addition of new targets, GFX1171 and GFX1172, now integrated into the LLVM compiler. These GPUs, expected to power the upcoming Medusa Point APUs, share the same instruction set as GFX1170 and signal a strategic evolution for future AI and gaming workloads. With support for FSR 4, FP8/BF8, WMMA, and SWMMAC, the architecture marks a significant leap in integrated graphics performance and machine learning capabilities.

Major Story

AMD Medusa Point with Zen 6 and RDNA 4m: Next-Gen APU Spotted in Geekbench

AMD's upcoming mobile APU series, Ryzen AI 500 (codenamed 'Medusa Point'), has surfaced in the Geekbench database. Based on the new Zen 6 architecture, the chip features ten cores, 32 MB L3 cache, and is manufactured using TSMC's 2-nm process. Early benchmarks reveal impressive efficiency, approaching that of the Strix Point despite significantly lower clock speeds. Additionally, FP16 support for AI workloads has been spotted for the first time.