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I built a native macOS app for monitoring real LM Studio/Bionic tokens/sec

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I wanted to see LM Studio/Bionic inference performance without keeping Terminal open, so I built LM Speed Monitor, a small native SwiftUI app for macOS.

It reads the actual tokensPerSecond value reported by:

lms log stream --source model --filter output --stats

It does not estimate performance from CPU or GPU utilization.

Features include:

• Latest and rolling-average tokens/sec
• Prompt, generated, and total token counts
• Time to first token
• Model detection
• Recent-generation graph
• Menu-bar display
• Optional always-on-top floating window
• Copyable Markdown reports for comparing models
• Automatic reconnection when LM Studio restarts
• No telemetry, cloud services, Electron, or third-party dependencies

It’s open source under the MIT license:

https://github.com/Xombie2000/lm-speed-monitor

The current release is source-only and requires macOS 15+, Apple Silicon, and the LM Studio lms CLI. I haven’t published a Developer ID-signed/notarized binary yet.

Feedback, bug reports, and contributions are welcome—especially results from different Apple Silicon models and LM Studio versions.