
BeagleY-AI
Expert rating7.5 / 10
- 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
| Brand | 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 |
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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