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.. meta::
:description: Performance model overview in ROCm Compute Profiler, covering CDNA and RDNA architectures, GPU metrics, panel layouts, and profiling concepts.
:keywords: ROCm Compute Profiler, performance model, CDNA, RDNA, Instinct, Radeon
*****************
Performance model
*****************
ROCm Compute Profiler exposes detailed metrics for CDNA™ architecture-based AMD Instinct™
MI-series GPUs and for select RDNA™ architecture-based AMD Ryzen™ APUs with
the supported analysis configurations.
Use the following pages for architecture-specific naming, panel layout, and conceptual
overview:
* **Instinct (CDNA)** - :doc:`AMD CDNA architecture (CDNA-CDNA4) <cdna/cdna-performance-model>`:
Architecture and data-type tables, top-level CDNA block diagrams, MI-series terminology,
and chapters for:
* :doc:`cdna/system-speed-of-light`
* :doc:`cdna/compute-unit`
* :doc:`cdna/l2-cache`
* :doc:`cdna/shader-engine`
* :doc:`cdna/command-processor`
* :doc:`cdna/references`
* **Ryzen APU (RDNA)** - :doc:`RDNA3 <rdna/rdna-performance-model>`: Architecture, top-level RDNA3 block diagram, gfx115x panels, and chapters for:
* :doc:`rdna/system-speed-of-light`
* :doc:`rdna/shader-engine` (overview)
* :doc:`rdna/spi`
* :doc:`rdna/wgp`
* :doc:`rdna/gl0-cache`
* :doc:`rdna/gl1-cache`
* :doc:`rdna/gl2-cache`
* :doc:`rdna/gcea`
* :doc:`rdna/command-processor`
* :doc:`rdna/grbm`
* :doc:`rdna/references`
For practical profiling walkthroughs, see :doc:`/tutorial/profiling-by-example`.