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 efficiency and reliability while assessing the benefits and drawbacks of various engineering approaches.
Finally, the 1.0 release of Geekbench AI includes support for new frameworks and more extensive data sets that more closely reflect real-world inputs, improving the accuracy evaluations in the suite.
Tuesday September 15, 2026 9:38 am PDT by Joe Rossignol
The first unverified benchmark result for Apple's new M6 chip surfaced in the Geekbench 7 database today, offering a look at the chip's performance gains. The new Mac mini will be Apple's first device to be equipped with the M6 chip, which is 2nm.
Here is how the M6 chip scored:
Single-core CPU score: 4,071
Multi-core CPU score: 22,783
Here are the average M5 chip scores for...
Tuesday September 15, 2026 11:00 am PDT by Joe Rossignol
The first unverified benchmark result for Apple's new M5 Ultra chip surfaced in the Geekbench 7 database today, offering a look at the chip's impressive performance gains. The new Mac Studio will be Apple's first device to be equipped with the M5 Ultra.
Here is how the highest-end M5 Ultra chip with a 36-core CPU scored:
Single-core CPU score: 3,774
Multi-core CPU score: 52,516Apple...
Thursday September 10, 2026 4:06 am PDT by Tim Hardwick
Early benchmark results for the A20 Pro chip in the iPhone 18 Pro and iPhone 18 Pro Max appeared early this morning in the Geekbench 7 database, offering us a first look at the new models' CPU and graphics performance ahead of the devices reaching customers.
Based on these early results – which are unconfirmed – the A20 Pro chip across the Pro models appears to deliver around 21% to 23%...
Are those results in these photos in the article real cuz all i got on my new Galaxy Fold 6 with all its AI features is this 😅
Edit: ok my 15 Plus does much worse besides in the Half Precision Score for some reason? At least Apple does not seem to be lying about its capabilities regarding Apple Intelligence support guess?
Apple intelligence is optimized for qunatized 3.5-4 bit. It may do worse with other precisions on iPhone 15. The scores don’t mean much unless the models are optimized for certain precision.
