A standalone console application that uses the PresentMon SDK to capture and analyze graphics applications, outputting data to the console and/or CSV file(s).
What's new in 2.6.0.0
Release Notes
Major features
Metrics and capture
PSO compilation metrics: Track D3D12 pipeline state object compilation via ETW (count, duration, and busy percentage), attributed into frame/CSV capture.
OS DDI flip events: Track newer OS DDI events for per-flip timestamps and completed/dropped flip reporting.
CSV display attribution: CSV output includes source ID and layer ID for flips so multi-plane and multi-display scenarios are easier to analyze.
Display metadata: Additional display metadata is surfaced in capture/output paths.
Telemetry architecture
Fine-grained telemetry providers: Per-metric provider granularity so only required endpoints are polled; supports combining providers and plug-in-style extension.
Native telemetry format: ADL, NVAPI/NVML, IGCL, and WMI paths emit the dynamic caps/polling model directly; legacy telemetry shims removed.
CPU temperature (UCI socwatch): Optional UCI socwatch integration in the service for CPU temperature where MSR-style access is restricted; builds and runs when UCI is not present.
ADL memory utilization: AMD dedicated VRAM usage reporting improved and validated against Windows-reported values.
Intel PresentMon (IPM) UI
Per-metric multi-device selection: Telemetry from multiple adapters can be shown at once; overlay presets can mix devices per metric.
Game Experience preset: Overlay preset highlighting metrics that correlate with perceived motion and animation quality.
Metric availability feedback: Unavailable telemetry metrics stay visible in pickers and overlay loadouts (dimmed/marked) instead of disappearing silently. Hovering over unavailable metrics shows reason why not available. This information can also be dumped to CSV via the presentmon-cli dump-caps subcommand.
Array metrics: array metrics (multiple fans on 1 GPU etc.) now surface as a single metric with separate index dropdown, instead of multiple independent metrics.
Performance and reliability
Service efficiency - Lower scheduling overhead: ETW flush and related loops use coarser Sleep-based waiting instead of high-precision timers where jitter is acceptable, cutting CPU use under load by 78% (including on mobile-class systems). - Idle log flushing: Diagnostic log flushing is suppressed when the service is not actively tracking or polling telemetry, reducing idle CPU from 0.003% to 0.000%. - Targeted telemetry polling: Continued refinement so providers poll only metrics clients actually consume. …
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