Geekbench

What This Skill Does

The Geekbench skill for OpenClaw is an essential utility designed to provide users with accurate, real-time performance data for mobile and computing hardware. Unlike static models that rely on training data which quickly becomes outdated, this skill leverages live web searches to fetch the most recent benchmark results directly from official Geekbench databases. It follows a rigorous validation process, ensuring that data points are mapped to correct internal product models and specific Geekbench versions, effectively filtering out rumors, leaks, and early engineering prototype noise to provide reliable performance insights.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal or command interface: clawhub install openclaw/skills/skills/dingqing404/geekbench Ensure your OpenClaw instance has active network access to allow the skill to perform the necessary search queries during runtime.

Use Cases

This skill is perfect for technology enthusiasts, hardware reviewers, and procurement professionals. Key use cases include: comparing the real-world processing power of the latest flagship smartphones (e.g., iPhone 17, Xiaomi 18), validating performance claims made during product launches, identifying whether a device is currently leading the market in single-core or multi-core performance, and distinguishing between authentic retail performance and early-stage experimental benchmark leaks. It serves as a single source of truth for objective device performance analytics.

Example Prompts

1. "Look up the latest flagship from OPPO and tell me its Geekbench 6.5.0 single-core and multi-core scores."
2. "Can you search for the current Geekbench performance data of the Xiaomi 18 and tell me the internal model name used in the tests?"
3. "Verify if the performance results for the latest Honor Magic 9 flagship represent retail-ready hardware or early prototype benchmarks."

Tips & Limitations

To get the most accurate results, always remember that Geekbench scores are highly version-dependent. The skill is calibrated to prioritize Geekbench 6.5.0, so avoid comparing scores across disparate versions (e.g., v5 vs v6). Because the skill relies on web searches, ensure your internet connection is stable. Be mindful that performance results for brand-new products may occasionally reflect early internal tests; if a score seems abnormally low or high, look for confirmation in multiple reports. Always specify the device name clearly to prevent the agent from retrieving data for older generations of the same product line.