ARM-software/armnn

Health v2 · maintenance only

Adoption not part of the score

1316 stars · 328 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Arm NN is an open-source C++17 machine learning inference SDK that accelerates neural network execution on Arm Cortex-A CPUs, Mali GPUs, and Ethos-N NPUs, built on top of the Arm Compute Library. It includes a TF Lite Delegate for Python and parser support for common ML frameworks, though it is now a legacy project no longer maintained by Arm.

Use cases

• run neural network inference on arm cortex-a cpus
• accelerate tflite models on mali gpu
• deploy ml models on android with arm optimizations
• run inference on arm ethos-n npu
• execute quantized models efficiently on edge devices
• accelerate machine learning workloads on linux arm servers

When to choose

• you need maximum inference performance on Arm Cortex-A CPUs or Mali GPUs in a trusted environment
• you are targeting Arm Ethos-N NPUs and want an existing driver-backed stack
• you want a C++ inference SDK with a TF Lite Delegate for Python integration

When to avoid

• you need security patches or ongoing maintenance, since the project is officially legacy and unmaintained
• you will process untrusted inputs or run in hostile environments, which the maintainers explicitly warn against
• you target non-Arm hardware or need Cortex-M acceleration, where CMSIS-NN or other tools are recommended

Facets

library · maturity abandoned

machine-learning sdk machine-learning embedded-systems developer-tools cpp python inference-engine arm-cortex mali-gpu tflite-delegate ethos-npu arm-compute-library legacy edge-ai linux android

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markdown · JSON · MCP: product_card(name="ARM-software/armnn")