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BeagleY-AI single-board computer
BeagleBoard.org

BeagleY-AI

Expert rating7.5 / 10

Single-board ComputersView on beagleboard.org
SoC:
TI AM67A
CPU:
Quad-core Arm (Cortex-A53 class)
AI Accelerator:
Up to 4 TOPS
Form Factor:
Raspberry Pi-compatible
Backing:
BeagleBoard.org + Texas Instruments

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Manufacturer: BeagleBoard.org Last updated: September 11, 2026

BeagleY-AI (Single-Board Computer/TI AM67A/Quad-Core Arm/4 TOPS AI Accelerator/Pi-Compatible) Review

The BeagleY-AI pairs a Texas Instruments AM67A vision processor with a Raspberry Pi-like form factor and pinout, aimed at computer-vision and edge-AI projects that want TI's industrial-grade silicon rather than the more common Rockchip or NVIDIA options.

By adopting a Raspberry Pi-compatible layout, the BeagleY-AI lets buyers reuse existing Pi-format cases and HAT accessories while running fundamentally different, industrial-pedigree TI silicon underneath.

TI Silicon in a Familiar Form Factor

By adopting a Raspberry Pi-compatible layout, the BeagleY-AI lets buyers reuse existing Pi-format cases and HAT accessories while running fundamentally different, industrial-pedigree TI silicon underneath.

4 TOPS From a Dedicated AI Accelerator

The AM67A's built-in AI accelerator delivers up to 4 TOPS, a meaningful capability for edge vision workloads without relying on a separate NPU module or coprocessor board.

Comparison to Alternatives

Against the Google Coral Dev Board already on this site, the BeagleY-AI offers a more general-purpose AI accelerator rather than the Coral's TensorFlow Lite-specific Edge TPU. Against the BeagleBone AI-64 already on this site, the BeagleY-AI adopts a more Pi-like form factor and newer TI silicon generation aimed specifically at vision workloads.

Specifications

Identity

BrandBeagleBoard.org
SoCTI AM67A
CPUQuad-core Arm (Cortex-A53 class)
AI AcceleratorUp to 4 TOPS
Form FactorRaspberry Pi-compatible
BackingBeagleBoard.org + Texas Instruments

Expert Review

Reviewed by Burooj Alam. Rated by us, not by users.

Expert rating7.5 / 10

Industrial TI vision silicon in a Pi-compatible board, with 4 TOPS of general-purpose AI acceleration.

Best for

  • Edge computer-vision projects that want TI's industrial silicon in a Pi-compatible form factor.

Not for

  • Buyers who specifically need TensorFlow Lite/Edge TPU-optimized inference.

FAQs

What are the key specifications of the BeagleY-AI (Single-Board Computer/TI AM67A/Quad-Core Arm/4 TOPS AI Accelerator/Pi-Compatible)?

The BeagleY-AI (Single-Board Computer/TI AM67A/Quad-Core Arm/4 TOPS AI Accelerator/Pi-Compatible) is a single board computer from BeagleBoard.org. Key specs: SoC TI AM67A, CPU Quad-core Arm (Cortex-A53 class), AI Accelerator Up to 4 TOPS, Backing BeagleBoard.org + Texas Instruments.

Will the BeagleY-AI (Single-Board Computer/TI AM67A/Quad-Core Arm/4 TOPS AI Accelerator/Pi-Compatible) work with my current setup?

The BeagleY-AI (Single-Board Computer/TI AM67A/Quad-Core Arm/4 TOPS AI Accelerator/Pi-Compatible) lists SoC is TI AM67A. Check that against the hardware you already own before buying, since this is the field that most often decides whether a part fits.

Who is the BeagleY-AI (Single-Board Computer/TI AM67A/Quad-Core Arm/4 TOPS AI Accelerator/Pi-Compatible) best suited to?

It suits edge computer-vision projects that want ti's industrial silicon in a pi-compatible form factor..

What are the drawbacks of the BeagleY-AI (Single-Board Computer/TI AM67A/Quad-Core Arm/4 TOPS AI Accelerator/Pi-Compatible)?

It is a poor fit for buyers who specifically need tensorflow lite/edge tpu-optimized inference..

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