NVIDIA Jetson Orin/JetPack 5.0.2/Performance Tuning/Tuning Power

NVIDIA®Jetson AGX Orin™
Introduction
SoM Overview Carrier Boards NVIDIA developer kit Auvidea X230D Connect Tech Forge Software Development Support
JetPack 5.0.2
Getting Started Installing JetPack Flashing the board with GUI installer JetPack Components Compiling Source Code Flashing the Board from Cmdline Performance Tuning Evaluating Performance Set Values Manually Tuning Power Maximizing Performance Software Encoders For Jetson Orin Nano
Development in the Board
Getting into the Board Using Serial Console Using SSH Using Ubuntu Login Installing Packages
Emulation
Flashing commands for emulation
Supported Cameras
IMX477+J20 Driver
GStreamer Pipelines
Capture and Display H264 H265
RidgeRun Products
GstPTZR GstCUDA GstColorTransfer GstWebRTC GstRtspSink GstInterpipe GstInference GstVPI GStreamer Daemon GstShark
RidgeRun Reference Designs
Panoramic Stitching and WebRTC Streaming
Reference Documentation
Contact Us

Max-Q and Max-P Power Efficiency

The Orin supports three different power modes known as 15W, 30W, and 50W. For each mode, several configurations with various CPU and GPU frequencies, and a number of cores online are possible.

Mode ID	0	1	2	3
Power Budget	EDP	15W	30W	50W
Online CPU	12	4	8	12
CPU Max Frequency (MHz)	2147.48	1.1136	1.728	1.4976
GPU Max Frecuency (MHz)	2147.48	420.75	624.75	828.75
DLA Max Frequency (MHz)	2147.48	1369.6	750	1369.6
PVA Cores	2	1	1	1
PVA Max Frequency (MHz)	1088	307.2	512	704

The default mode is id 0. EDP represents the limits and therefore has no power budget.

A utility is provided to change the board operations between these modes. In order to change the current operation mode use the command:

ID=2
sudo /usr/sbin/nvpmodel -m $ID

The mode persists across power cycles and won't change unless nvpmodel is called again.

In order to find the current mode use:

sudo /usr/sbin/nvpmodel -q

Extra Definitions can be added in a file located in:

/etc/nvpmodel/nvpmodel_t194.conf

RidgeRun Resources

Quick Start Client Engagement Process RidgeRun Blog Homepage Technical and Sales Support RidgeRun Online Store RidgeRun Videos Contact Us RidgeRun.ai: Artificial Intelligence | Generative AI | Machine Learning

Contact Us Visit our Main Website for the RidgeRun Products and Online Store. RidgeRun Engineering information is available at RidgeRun Engineering Services, RidgeRun Professional Services, RidgeRun Subscription Model and Client Engagement Process wiki pages. Please email to support@ridgerun.com for technical questions and contactus@ridgerun.com for other queries. Contact details for sponsoring the RidgeRun GStreamer projects are available in Sponsor Projects page.