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mobilenet_v2-int8-torq
Synaptics/mobilenet_v2-int8-torq
mobilenet_v2-int8-torq is a machine learning model from Synaptics. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for torq. The card lists the license as apache-2.0.
A quantized MobileNet V2 model with a 1.0 width multiplier optimized for image classification on ImageNet at 224x224 resolution.
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Public
Updated Jul 22, 2026
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11.6 MB
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At a glance
- Library
- torq
- License
- apache-2.0
- Access
- Public
- Created
- May 8, 2026
- Updated
- Jul 22, 2026
- SHA
- 35d28c47
Base models
Model card
From the Hugging Face model README
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.
- Library
- torq
- License
- apache-2.0
- Created
- May 8, 2026
- Updated
- Jul 22, 2026