AI PORTAL
  • Models
  • Code
  • Tools

About the models on this Arm AI Portal

The Arm AI Portal (the “Portal”) provides details of AI models developed, optimized or tested for use on Arm-based platforms. Models listed on the Portal may have been developed by Arm or by third parties. Unless expressly stated otherwise, Arm did not develop or train the underlying third-party model and is not responsible for its original intended behavior or use.

Information accompanies each model listing and describes the model’s provenance, together with relevant information about the original third-party model, its developer and repository, where applicable. Inclusion on the Portal of a model developed by a third party or based on a third-party model does not constitute Arm’s endorsement or certification of that third-party model or any third-party work relating to it.

Except as expressly stated in the information accompanying a specific model, Arm makes no representation as to the accuracy, safety, security, non-infringement, legal compliance, suitability for production use or fitness for any particular purpose of any model, converted or optimized version, or related outputs.

Inclusion of a model on the Portal does not itself grant you any rights to use that model. Use of each model is subject to the applicable license terms, usage restrictions and documentation. You are responsible for reviewing that information and independently evaluating the model, its outputs and its suitability for your intended use, including compliance with applicable legal, regulatory, safety and security requirements. Any use of or reliance on a model, its outputs or related materials is at your own risk. Where the Portal links to repositories or other materials controlled by third parties, those repositories and materials are outside Arm’s control and may change without notice.

Use of the Portal is subject to the Arm Website Terms and Conditions of Use.

Models

Develop on Arm with your AI coding assistant

The Arm AI Portal MCP Server makes it faster to find optimized models, integrate code examples and deploy to your target device from your agentic coding assistant.

User guide

Run the following command in your terminal:

codex mcp add arm-ai --url https://mcp.api.devplatform.arm.com/ai-portal

Filters

1

Device Class

Mobile CPUCloud CPU

Evaluation Target

vivo X300AWS Graviton G4

Arm Technology

SME2NX

Task

Image ClassificationText GenerationObject DetectionImage SegmentationAutomatic Speech RecognitionFeature ExtractionImage To ImageText To SpeechDepth EstimationImage Text To TextKeypoint DetectionText To ImageTranslationZero Shot Image Classification

Vendor

Runtime

Quantization

Format

Execution Backend

Model Size

≤24.3 MB

Average Memory

≤755 MB

Peak Memory

≤796 MB
    4 results

    realesr-general-x4v3 INT8

    vivo X300SME2

    This is an INT8-quantized version of realesr-general-x4v3, a blind 4x super-resolution model from the Real-ESRGAN projec

    image-to-image1.4 MBExecuTorch

    ESRGAN x4 INT8

    AWS Graviton G4

    INT8-quantized 4× single-image super-resolution models for enhancing low-resolution RGB images, especially urban scenes

    image-to-image24.3 MBExecuTorch

    Neural Frame Rate Upscaling (NFRU)

    Neural Frame Rate Upscaling (NFRU) is an efficient network for frame rate upscaling on mobile devices. Neural Frame Rate

    image-to-image125.8 KBVulkan

    Neural Super Sampling (NSS)

    Neural Super Sampling (NSS) is a parameter prediction model for real-time temporal super sampling developed by Arm, opti

    image-to-image167.8 KBVulkan