Geekbench 7 Launches With Advanced AI and GPU Testing

Ender Öztürk

July 24, 2026

Primate Labs has officially released Geekbench 7, the latest iteration of its industry-standard benchmarking software, designed to provide a more accurate reflection of contemporary hardware performance. Announced today, this major update moves beyond traditional metrics to address the evolving demands of modern computing, including heavy artificial intelligence workloads, machine learning processes, and complex multimedia tasks. By simulating realistic user scenarios, Geekbench 7 offers a comprehensive view of how processors and graphics units handle the intensive software environments common in today’s professional and consumer computing landscapes, ensuring that users can better understand the true capabilities of their devices.

Advanced GPU Capabilities Are Now Measured

The transition toward AI-driven applications necessitated a significant overhaul of how graphics performance is evaluated. Geekbench 7 introduces sophisticated testing for GPU-centric tasks, such as real-time video filtering, image upscaling, and advanced background blur effects used in common video conferencing software.

Beyond basic graphics, the suite now benchmarks intensive processes including RAW image processing, LUT-based color grading, ray tracing, and fluid dynamics simulations. By expanding compatibility to include Nvidia CUDA, the software broadens its reach for professionals relying on specialized hardware acceleration.

Geekbench 7 represents a fundamental shift toward measuring hardware through the lens of modern AI and machine learning efficiency.

Multi-Core Testing Methodology Has Been Refined

Primate Labs has fundamentally changed its approach to multi-core performance metrics. The new architecture ensures that tests only utilize multi-threading when it aligns with the actual operational logic of real-world software. Consequently, applications that historically rely on single-core performance, such as standard web browsers, have been excluded from the multi-core testing suite to prevent skewed results.

The media performance segment has also received substantial upgrades. New benchmarks have been integrated to test AV1 codec efficiency for screen sharing, Opus codec performance for audio compression, and the integration of the Whisper model for real-time live captioning.

Dataset Diversity and User Options Are Expanded

To ensure testing accuracy, the developers increased both the size and variety of the datasets used within the application. The file compression benchmark now evaluates performance across a broader array of archives, including complex source code, object code, and extensive text documents. Similarly, the PDF viewer test now incorporates diverse file types, such as highly technical academic papers, detailed maps, and complex design documents.

To celebrate the launch, Primate Labs is offering a 20 percent discount on the Pro version of the software until August 6. The standard version remains available to individual users at no cost, continuing the company’s commitment to providing accessible benchmarking tools to the wider public.

We are curious to hear your thoughts on these new testing parameters; do you believe Geekbench 7 provides a sufficiently comprehensive evaluation of modern hardware, or are there specific workflows you feel are still missing?