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Geekbench 7 is out with CUDA support, smarter multi-core scoring, and new AI workloads across all major platforms

The update brings CUDA support, a new Game Physics test, smarter multi-core scoring, and an AMD Ryzen 7 7700 baseline replacing the Core i7-12700 from GB6.

Geekbench 7 is out with CUDA support, smarter multi-core scoring, and new AI workloads across all major platforms
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TL;DR: Geekbench 7 launches across major platforms with CUDA GPU support, new AI and creative workloads (Game Physics, AV1 encoding, Opus, Whisper-based captions, enhanced Photo Editor), smarter multi-core scoring that only multicore-tests workloads that behave that way, a Ryzen 7 7700 baseline replacing the Core i7-12700, and a $99 Pro license.
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Primate Labs has released Geekbench 7, the latest version of its popular cross-platform benchmarking tool, available now on Windows, macOS, Linux, Android, and iOS. The update brings new workloads, smarter multi-core scoring, expanded GPU testing, and refreshed datasets.

The biggest change to the CPU side is how multi-core scoring works. Rather than forcing every workload into a multi-threaded test, Geekbench 7 only runs a task in multi-core mode if the real application it models actually behaves that way. Web browsers are primarily single-threaded, so the HTML5 Browser test no longer contributes to the multi-core score. This should produce results that more accurately reflect real-world performance rather than artificially inflated numbers.

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Geekbench 7 is out with CUDA support, smarter multi-core scoring, and new AI workloads across all major platforms 1

New workloads include a Game Physics test using the Jolt Physics engine, AV1 video encoding for screen sharing scenarios, Opus audio compression for podcast and voice recorder use cases, and live caption generation using OpenAI's Whisper model running alongside video decoding.

The Photo Editor test has been expanded with more complex editing operations, and the Photo Library workload now supports newer formats including JPEG XL and DNG. Several older standalone tests including Object Remover, Horizon Detection, and Photo Filter have been merged into the broader Photo Editor workload.

On the GPU side, the biggest addition is CUDA support, joining OpenCL, Vulkan, and Metal. NVIDIA GPU owners can now benchmark using the API their most demanding professional and AI applications actually rely on. New GPU workloads cover face tracking with filters, ML-based image upscaling, path tracing, fluid simulation, and LUT-based colour grading.

Geekbench 7 is out with CUDA support, smarter multi-core scoring, and new AI workloads across all major platforms 2

Geekbench 7 uses an AMD Ryzen 7 7700 as its new baseline reference at 2,500 points, replacing the Intel Core i7-12700 from Geekbench 6. Scores between the two versions are not comparable. The Pro license is $99, discounted to $79 until August 6.

Frequently Asked Questions

TweakBot answers common questions about this news using TweakTown's own coverage from this page and related content from our archive. Tap a question to reveal the answer, or type your own below.

Question #1

How does Geekbench 7's new multi-core scoring differ from Geekbench 6 and how will that affect comparisons for CPUs I already own?

Geekbench 7 only counts a workload toward the multi-core score if the real application it models actually uses multiple threads, so tests like the HTML5 Browser no longer contribute to the multi-core result. This change should reduce artificially inflated multi-core scores and produce numbers that better reflect real-world performance. Additionally, Geekbench 7 uses an AMD Ryzen 7 7700 baseline instead of the Core i7-12700 and the article explicitly says scores between the two versions are not comparable.
Answered
Question #2

Which new CPU workloads were added in Geekbench 7 (e.g., Game Physics, AV1 encoding, Opus, Whisper) and what real-world tasks do they model?

New CPU workloads added in Geekbench 7 are a Game Physics test using the Jolt Physics engine, AV1 video encoding for screen sharing scenarios, Opus audio compression for podcast and voice recorder use cases, and live caption generation using OpenAI's Whisper model running alongside video decoding. The Photo Editor test was also expanded with more complex editing operations, and the Photo Library workload now supports newer formats including JPEG XL and DNG, with several older standalone photo tests merged into Photo Editor.
Answered
Question #3

What GPU APIs and workloads does Geekbench 7 now support, and what does the addition of CUDA mean for NVIDIA GPU benchmarking?

Question #4

What happened during the Geekbench 7 rollout that led to early leaks of installers and benchmark results?

Primate Labs had provided information under embargo but did not deliver the promised press materials before it quietly uploaded installers, documentation, and benchmark results to its public servers. Enthusiasts found and downloaded those files ahead of the official announcement, and benchmark results from Apple M-series, AMD, and Intel systems began appearing in the Geekbench Browser.
Answered

Have a question not listed here? Ask below and TweakBot will answer it.

The rollout itself, however, was somewhat messy. While Primate Labs had offered information under embargo, it failed to deliver the promised press materials before quietly uploading installers, documentation, and benchmark results to its public servers. Enthusiasts quickly discovered the files and began downloading Geekbench 7 ahead of the official announcement, with benchmark results from Apple M-series, AMD, and Intel systems already appearing in the Geekbench Browser.

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News Source:geekbench.com

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Tech Reporter

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Hassam is a veteran tech journalist and editor with over eight years of experience embedded in the consumer electronics industry. His obsession with hardware began with childhood experiments involving semiconductors, a curiosity that evolved into a career dedicated to deconstructing the complex silicon that powers our world. From benchmarking PC internals to stress-testing flagship CPUs and GPUs, Hassam specializes in translating high-level engineering into deep, unbiased insights for the enthusiast community.

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