AMD Unveils Frame Latency Meter, Utility Tool Designed To Measure & Optimize Input Latencies With Support For All GPUs

Jul 23, 2024 at 07:30am EDT
AMD Unveils Frame Latency Meter, Utility Tool Designed To Measure & Optimize Input Latencies With Support For All GPUs 1

AMD has released FLM (Frame Latency Meter), a utility tool designed to measure the latency of mouse response times & supported on all GPUs.

AMD's FLM "Frame Latency Meter" Offers Superior Monitoring Capabilities Versus Competitors Like NVIDIA's LDAT Through Extensive Data Sampling, Works On All GPUs

In modern days, hardcore gamers are focused on reducing sources of all latencies, whether through their input devices such as keyboards and mice or display sources such as monitors. In light of this, AMD's GPUOpen team decided to develop a dedicated software, the Frame Latency Meter, which allows gamers to measure the responsiveness of their mouse inputs based on in-game events to optimize the overall gaming experience and become more competitive in the segment.

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Image Credits: AMD GPUOpen

The AMD FLM (Frame Latency Meter) measures the mouse's response times from the moment the utility software is enabled, relating to the frames on the display screen. FLM utilizes multiple frame capture codecs, such as the AMF (Advanced Media Framework) for AMD GPUs and the DXGI for third-party GPUs, ensuring compatibility across a wide range of consumers. For data analysis, the FLM compiles latency statistics and exports them to a CSV file, providing users with an extensive data set to analyze their mouse latencies and, in turn, optimize them.

Interestingly, the FLM utility tool can run under every instance, which means that the software is dependent upon "muzzle flashes" from your bullets to detect latency. Rather, the tool samples data every time, ensuring that even if you run out of ammo, it will continue with the measurement. This results in "unlimited data sampling," producing accurate results. This is what makes AMD's FLM superior to NVIDIA's LDAT (Latency And Display Analysis Tool).

Supported GPUs

Supported graphics APIs

Supported OSs

To download the software, you can visit the Github repository and access it here. You can navigate through the instructions, which mention the process of initiating the tool as well.

About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.

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