The iPhone 16 and iPhone 16 Plus are expected to be powered by an Apple A18 (perhaps branded “A18 Bionic”} with a 6-core processor and a 5-core GPU, compared to the six cores of the graphics processor in the A18 Pro powering the iPhone 16 Pro and flagship iPhone 16 Pro Max. The standard A18 processor will also have reduced cache size compared to the A18 Pro. Much more in the full article on MacDailyNews on Substack here. Apple’s A18 Pro-powered iPhone 16 Pro models expected to break the 4GHz speed barrier by MacDailyNews Read on Substack We are currently about 1/8th of the way to being sustainable with Substack subscriptions. Not a bad start! Please tell your friends about…

Following extended testing under the "Geekbench ML" name, Primate Labs is officially launching its new benchmarking suite optimized for AI-centric workloads under the name Geekbench AI. The tool seeks to measure hardware performance under a variety of workloads focused on machine learning, deep learning, and other AI-centric tasks. Geekbench AI 1.0 examines some of the unique workloads associated with AI tasks and seeks to encompass the variety of hardware designs employed by vendors to tackle these tasks, delivering a three-score summary as part of its benchmarking results to reflect a range of precision levels: single-precision, half-precision, and quantized data. In addition to these performance scores, Geekbench AI also includes an accuracy measurement on a per-test basis, allowing developers to improve…

An alleged Geekbench 6 benchmark result for the lower-end version of the M4 chip with a 9-core CPU surfaced over the weekend, providing a first look at how it performs compared to the higher-end M4 chip with a 10-core CPU. The result indicates that the 9-core M4 chip is around 10% slower than the 10-core variant in terms of multi-core performance. While that outcome might seem obvious at first glance, the 9-core variant of the chip has three performance cores, instead of four in the 10-core variant, so this result was not guaranteed. Assuming that the Geekbench 6 listing is accurate, the 9-core M4 chip is still around 13% faster than the M3 chip for multi-core performance, and up to…

Find out how the Apple M4 processor in the 2024 iPad Pro outperforms its predecessor, the M3. The chip is expected to hit Macs this autumn. (via Cult of Mac - Apple news, rumors, reviews and how-tos)

An early benchmark result for the new MacBook Air has surfaced, providing a closer look at the M3 chip's performance in Apple's latest laptops. In a Geekbench 5 result spotted by MySmartPrice, the MacBook Air with the M3 chip and 16GB of unified memory achieved a single-core score of 3,157 and a multi-core score of 12,020. The results have a "Mac15,3" identifier, which suggests the results are for a 15-inch MacBook Air. For context, the previous MacBook Air with the M2 chip and 16GB of unified memory achieved a single-core score of 2,610 and a multi-core score of 10,120. The M3 chip in the new MacBook Air therefore scored approximately 20% more in single-core and 18% more in multi-core compared…

Geekbench developer Primate Labs has announced a new 0.6 preview version of Geekbench ML that expands beyond iOS and Android to offer benchmarking capabilities for AI and other machine learning workflows on desktop platforms, including macOS, Windows, and Linux. AI and ML-related workflows aren’t just confined to mobile, and hardware architecture on desktop and laptop devices is changing to accommodate this shift in computing. With this latest 0.6 preview, Geekbench ML now supports Windows, macOS, and Linux. This means you’ll be able to see how machine learning-powered tasks run on your desktop, laptop, or even a server — whether it has new AI-specific hardware or not. And, as always, our models and data sets are identical across all supported platforms,…