Report updated May 10, 2026
Geekbench AI
For tech enthusiasts and developers looking to quantify the machine learning performance of their Android hardware.
Overview · Full Intel report in progress
Geekbench AI is an established utilities app that is completely free. With a 4.2/5 rating from 408 reviews, it shows polarized user reception.
What makes this app unique?
What Does It Look Like?
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What Are The Key Features?
Evaluates the speed and efficiency of a device when performing machine learning tasks.
Simulates real-world computer vision workloads to assess hardware performance.
Models language-based machine learning applications to test device capabilities.
Measures performance across specific hardware components including the CPU, GPU, and NPU.
How much does it cost?
Who Built It?
Primate Labs
Providing standardized performance benchmarking tools for hardware enthusiasts and developers. Enabling objective evaluation of CPU, GPU, and AI processing capabilities.
Portfolio
3
Apps
What other apps does Primate Labs make?
Explore the full Primate Labs report
Portfolio breakdown, audience, momentum, and every app published by Primate Labs.
Analysis in progress, available soon
What do users think recently?
Analysis in progress, available soon
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
Analysis in progress, available soon
What is the competitive landscape for Geekbench AI?
How's The Utilities Market?
How does it evolve in the Utilities market?
Rank progression
1 active ranking tracked — 30-day window
Which niche is Geekbench AI in?
to measure device machine learning performance
Explore the full Benchmarking Monitors niche
Every app in this space — 1 tracked, the niche's live rankings, and Marlvel's editorial take on the job-to-be-done.
Strategic analysis coming soon
SWOT, key takeaways & outlook
The outtake for Geekbench AI
Key Takeaways
This app provides a standardized method for testing how well Android hardware handles real-world machine learning workloads.
Where Is It Heading?
Trend analysis
Available very soon