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Geekbench 7 Launches With Redesigned Multi-Core and GPU Benchmarks

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Primate Labs today announced the launch of Geekbench 7, the newest version of the popular benchmarking suite for CPU and GPU performance.

geekbench-7.jpg

There's a redesigned multi-core benchmark in Geekbench 7 that's meant to better represent how applications work in the real world. A workload only runs in multi-threaded mode if the task it models runs multi-threaded in real applications.

Primate Labs says users can expect a multi-core score that's a more relevant measure of how a device performs when doing actual work.

Along with updates to multi-core testing, a revamped GPU benchmark focuses on machine learning and content creation to reflect how GPUs are used today. The GPU benchmark has tests that track faces and apply real-time filter effects to video, upscale images with machine learning, and blur backgrounds in video conferencing streams. New GPU image editing and synthesis tests are available, like RAW image processing, LUT-based video color grading, path tracing, and fluid simulation.

Nvidia's CUDA is once again a supported API alongside OpenCL, Vulkan, and Metal.

The new version of Geekbench uses more challenging data sets to better reflect how people use their computers today. The File Compression and PDF Viewer workloads have more variation, and developer and image processing tests have more assets and different image formats.

Geekbench 7 adds media workloads for testing audio and video encoding, decoding, and processing. The Whisper speech recognition, AV1, and Opus tests mimic video conferencing, screen sharing, and content consumption workloads.

There's also a Game Physics workload that uses the Jolt Physics engine used by popular video games. Primate Labs added an expanded Photo Editor test with a richer set of real-world edits, and the Photo Library workload supports importing and processing image formats like JPEG XL and DNG.

Geekbench 7 is available for iOS, macOS, and other platforms. The app remains free for personal use, and the Pro version is 20 percent off the regular $99 price through August 6.

Article Link: Geekbench 7 Launches With Redesigned Multi-Core and GPU Benchmarks
 
Article Link
https://www.macrumors.com/2026/07/23/geekbench-7-launch/
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Reactions: hovscorpion12
They update Geekbench (and charge us money for it) more often than I buy a new pair of boots, and I only wear boots.

But seriously, I've bought versions 1-5, but decided to skip 6. Maybe I'll pay for 7. I do a lot of comparison testing with current and older machines, so it's a real pain when they change versions and introduce new scoring base lines. I wish they'd offer a way to convert the numbers to older versions, and refactor the newer scores without whatever newer test that can't run on older ones.

Looks like they're on a mostly steady 3 year cycle, but I was definitely spoiled by ver 2.

GB1: Sometime in 2006
GB2: March 6, 2007
GB3: August 15, 2013
GB4: August 29, 2016
GB5: September 3, 2019
GB6: February 14, 2023
 
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Reactions: winxmac, maika1305 and racerhomie
Aw yeah, time to generate new-and-improved abstract numbers to compare to other abstract numbers so Thing A can be objectively proved to be X% better than Thing B! Except now it'll be Y%, which is better and more objectively accurate than the inaccurate and stale old X%.

Seriously, though, I actually do love Geekbench because it runs on just about everything and at least in theory provides a benchmark that is vaguely representative of real-world use cases. It's surprisingly hard to find a test that you can run easily and generate directly-comparable results on an iPhone, an Android Phone, a Mac, and a Windows server, so I appreciate it as a tool. I've started throwing Geekbench numbers into the computer tracking list at work, since it gives an easy at-a-glance idea of how usable a computer is likely to be for a user, not just how old it is.

The one thing that bugs me about new versions of Geekbench is that the backwards-compatibility limits break the ability to compare really old devices to modern ones, which is always kind of fun. Updating the benchmark to keep up with modern use cases is the right thing to do, but the one advantage of oversimplified synthetic benchmarks like Linpack is that you can compare results from ancient hardware to modern stuff.
 
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I just ran it on my 14” MacBook Pro M4 Pro (14-core) with 48 gb ram and received the following scores:

Single-Core: 3424
Multi-Core: 25488
OpenCL: 68558
Metal: 117044
 
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