DDRNet-23-Slim INT8

Edge LinuxRaspberry Pi 5

DDRNet-23-Slim semantic segmentation optimized using static INT8 post-training quantization (PTQ) with symmetric per-channel weight and per-tensor activation quantization, then exported as an ExecuTorch .pte model for Arm-based Edge Linux systems.View on Hugging Face

Accuracyvs base model

mIoU74.52%↓0.16 pp

Frames / sec

4.49 fps

Latency

222.53 ms

About this version

Original Model:: DDRNet by Not specified — Repository
Optimization/conversion:: Arm-Optimized version for execution on Arm-based platforms.
Converted/optimized by:: Arm
License:: The Original Model and the Optimized Model are subject to MIT.

This repository contains a converted or optimized version of the Original Model (the “Optimized Model”). The Original Model has been converted or optimized as described above for execution on Arm-based platforms.

No retraining or fine-tuning of the Original Model was performed as part of the conversion or optimization. The conversion or optimization was not intended to change the Original Model’s behavior or intended use.

Original Model and Documentation

For information about the Original Model, including its development, training data, intended uses, limitations and other relevant information, please refer to the Original Model repository. Information in that repository was provided by the original developer or other third parties and, unless expressly stated otherwise, has not been independently verified by Arm.

Licenses and Third-Party Terms

Use of the Original Model and the Optimized Model is subject to the applicable licenses, usage restrictions and other terms identified above and in the relevant repositories. Publication of the Optimized Model does not grant any rights beyond those provided under the applicable license terms.

You are responsible for reviewing those terms and ensuring that your use of the Original Model and the Optimized Model is permitted.

Metric	Resultsvs baseline	Change
End to end latency p50	222.53ms742.92ms	−520.39 ms
End to end latency p90	222.71ms743.45ms	−520.73 ms
End to end latency p99	226.12ms757.60ms	−531.48 ms
Peak memory	93.05MB196.33MB	−103.28 MB
Average memory	92.62MB195.95MB	−103.33 MB
Time to first inference	245.91ms785.20ms	−539.29 ms
Frames per second	4.49fps1.35fps	+3.14 fps
mIoU	74.52%74.68%	−0.16%

Dataset	camvid	camvid
Sample count	233	233
Batch size	1	1
Input resolution	960x720	960x720
Runs	100	100
Warmup runs	10	10

DDRNet-23-Slim INT8

DDRNet-23-Slim INT8

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Deploy an MCP Server on Raspberry Pi 5 for AI agent interaction using OpenAI SDK

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Purpose of this Release