Beta

Explore
Marketplace
Neural Labs
Playground
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

mobilenet_v2-int8-torq – AI Model by Synaptics | AlphaNeural AI

You can deploy this model and start earning money today!

Synaptics/
mobilenet_v2-int8-torq

like

0

Image Classification

Synaptics/SimplifiedMobilnetV2

Views

No views yet

MobileNet V2 224x224 Quantized

Model Overview

A quantized MobileNet V2 model with a 1.0 width multiplier optimized for image classification on ImageNet at 224x224 resolution.

The MobileNet V2 1.0 224 Quant model is developed and optimized for the Synaptics Astra™ SL2610-Series processors with Torq NPU.

Model Features

Model Type: Image Classification
Input Size: 224x224
Output Size: 1x1000

Deployment

The compiled model file is available for download on Huggingface at Synaptics/MobileNetV2.

Usage tutorial available at Synaptics AI Developer Zone / SL2600 / Image Classification.

License

The source model is licensed under Apache License 2.0.

The compiled model for on-device deployment is covered under the Synaptics Astra EULA.

Learn More

Synaptics AI Developer Zone: Get started with documentation, tutorials and resources for your Edge AI journey.
Astra Support Portal: Connect with our engineering team and community.