LogoLogo
AI HubCommunityWebsite
  • Start Here
  • AI Hub
    • Overview
    • Quickstart
    • Teams
    • Device Farm
    • Browser Inference
    • Model Zoo
      • Hailo
      • Intel
      • MemryX
      • BrainChip
      • Google
      • DeGirum
      • Rockchip
    • View and Create Model Zoos
    • Model Compiler
    • PySDK Integration
  • PySDK
    • Overview
    • Quickstart
    • Installation
    • Runtimes and Drivers
      • Hailo
      • OpenVINO
      • MemryX
      • BrainChip
      • Rockchip
      • ONNX
    • PySDK User Guide
      • Core Concepts
      • Organizing Models
      • Setting Up an AI Server
      • Loading an AI Model
      • Running AI Model Inference
      • Model JSON Structure
      • Command Line Interface
      • API Reference Guide
        • PySDK Package
        • Model Module
        • Zoo Manager Module
        • Postprocessor Module
        • AI Server Module
        • Miscellaneous Modules
      • Older PySDK User Guides
        • PySDK 0.16.0
        • PySDK 0.15.2
        • PySDK 0.15.1
        • PySDK 0.15.0
        • PySDK 0.14.3
        • PySDK 0.14.2
        • PySDK 0.14.1
        • PySDK 0.14.0
        • PySDK 0.13.4
        • PySDK 0.13.3
        • PySDK 0.13.2
        • PySDK 0.13.1
        • PySDK 0.13.0
    • Release Notes
      • Retired Versions
    • EULA
  • DeGirum Tools
    • Overview
      • Streams
        • Streams Base
        • Streams Gizmos
      • Compound Models
      • Result Analyzer Base
      • Inference Support
  • DeGirumJS
    • Overview
    • Get Started
    • Understanding Results
    • Release Notes
    • API Reference Guides
      • DeGirumJS 0.1.3
      • DeGirumJS 0.1.2
      • DeGirumJS 0.1.1
      • DeGirumJS 0.1.0
      • DeGirumJS 0.0.9
      • DeGirumJS 0.0.8
      • DeGirumJS 0.0.7
      • DeGirumJS 0.0.6
      • DeGirumJS 0.0.5
      • DeGirumJS 0.0.4
      • DeGirumJS 0.0.3
      • DeGirumJS 0.0.2
      • DeGirumJS 0.0.1
  • Orca
    • Overview
    • Benchmarks
    • Unboxing and Installation
    • M.2 Setup
    • USB Setup
    • Thermal Management
    • Tools
  • Resources
    • External Links
Powered by GitBook

Get Started

  • AI Hub Quickstart
  • PySDK Quickstart
  • PySDK in Colab

Resources

  • AI Hub
  • Community
  • DeGirum Website

Social

  • LinkedIn
  • YouTube

Legal

  • PySDK EULA
  • Terms of Service
  • Privacy Policy

© 2025 DeGirum Corp.

On this page

Was this helpful?

  1. AI Hub
  2. Model Zoo

MemryX

This page features models for MemryX devices currently available on the DeGirum AI Hub model zoo.

PreviousIntelNextBrainChip

Last updated 13 days ago

Was this helpful?

• Models are located at the .

Models by DeGirum

MemryX MX3

Age Estimation

Model Name
Use Case
MAE
MSE

yolov8n_relu6_age--256x256_float_memryx_mx3_1

Age Estimation

Classification

Model Name
Use Case
Top‑1
Top‑5

mobilenet_imagenet--224x224_float_memryx_mx3_1

Classification

mobilenet_v2_imagenet--224x224_float_memryx_mx3_1

Classification

resnet50_imagenet--224x224_float_memryx_mx3_1

Classification

yolov8n_imagenet--224x224_float_memryx_mx3_1

Classification

yolov8n_relu6_fairface_gender--256x256_float_memryx_mx3_1

Gender Classification

91.18%

100.00%

yolov8s_imagenet--224x224_float_memryx_mx3_1

Classification

Detection

Model Name
Use Case
mAP 50‑95
mAP 50

yolov5n_relu6_coco--640x640_float_memryx_mx3_1

COCO Detection

24.61

41.30

yolov5s_relu6_coco--640x640_float_memryx_mx3_1

COCO Detection

34.90

53.82

yolov5m_relu6_coco--640x640_float_memryx_mx3_1

COCO Detection

41.99

60.31

yolov8n_coco--640x640_float_memryx_mx3_1

COCO Detection

0.3693

0.5223

yolov8n_relu6_coco--640x640_float_memryx_mx3_1

COCO Detection

0.3493

0.4994

yolov8n_coco_pose--640x640_float_memryx_mx3_1

COCO Pose Keypoints

bbox: 0.5227

kpts: 0.4923

bbox: 0.7116

kpts: 0.7923

yolov8n_coco_seg--640x640_float_memryx_mx3_1

COCO Instance Segmentation

bbox: 0.3618

mask: 0.2114

bbox: 0.5155

mask: 0.4303

yolov8n_relu6_car--640x640_float_memryx_mx3_1

Car Detection

0.6862

0.8568

yolov8n_relu6_face--640x640_float_memryx_mx3_1

Face Detection

0.5685

0.7760

yolov8n_relu6_fire_smoke--640x640_float_memryx_mx3_1

Fire & Smoke Detection

0.4151

0.7415

yolov8n_relu6_hand--640x640_float_memryx_mx3_1

Hand Detection

0.4606

0.7687

yolov8n_relu6_human_head--640x640_float_memryx_mx3_1

Head Detection

0.4850

0.7148

yolov8n_relu6_lp--640x640_float_memryx_mx3_1

License Plate Detection

0.5704

0.8632

yolov8n_relu6_person--640x640_float_memryx_mx3_1

Person Detection

0.3149

0.5211

yolov8n_relu6_ppe--640x640_float_memryx_mx3_1

PPE Detection

0.3587

0.6807

yolov8n_relu6_widerface_kpts--640x640_float_memryx_mx3_1

Face Detection with Five Keypoints

bbox: 0.2717

kpts: 0.2396

bbox: 0.7977

kpts: 0.5510

yolov8s_relu6_widerface_kpts--640x640_float_memryx_mx3_1

Face Detection with Five Keypoints

yolov8n_relu6_coco_pose--640x640_float_memryx_mx3_1

COCO Pose Keypoints

bbox: 0.5253

kpts: 0.4530

bbox: 0.7165

kpts: 0.7830

yolov8n_coco_seg--640x640_float_memryx_mx3_1

COCO Instance Segmentation

bbox: 0.4255

mask: 0.3429

bbox: 0.5549

mask: 0.4930

yolov8n_relu6_coco_seg--640x640_float_memryx_mx3_1

COCO Instance Segmentation

bbox: 0.3429

mask: 0.2826

bbox: 0.4889

mask: 0.4575

yolov8n_relu6_coco_seg--640x640_float_memryx_mx3_1

COCO Instance Segmentation

bbox: 0.3414

mask: 0.2080

bbox: 0.4875

mask: 0.4133

MemryX model zoo on the AI Hub