-`CPU-RV1126`: [Toybrick RV1126](https://t.rock-chips.com/en/portal.php?mod=view&aid=26), Rockchip RV1126 SoC with a quard-core ARM Cortex-A7 CPU and a 2.0TOPs NPU.
-`CPU-KVE2`: [Khadas Edge 2](https://www.khadas.com/edge2), Rockchip RK3588S SoC with a CPU of 2.25GHz Quad Core ARM Cortex-A76 + 1.8GHz Quad Core Cortex-A55, and a 6TOPS NPU.
-`CPU-HSX3`: [Horizon Sunrise X3](https://developer.horizon.ai/sunrise), an SoC from Horizon Robotics with a quad-core ARM Cortex-A53 1.2GHz CPU and a 5TOPS BPU (a.k.a NPU).
-`CPU-AXP`: [MAIX-III AXera-Pi](https://wiki.sipeed.com/hardware/en/maixIII/ax-pi/axpi.html#Hardware), Axera AX620A with a quad-core ARM Cortex-A7 CPU and a 3.6TOPS@int8 NPU.
-`NPU-KV3`: [Khadas VIM3](https://www.khadas.com/vim3), 5TOPS Performance. Benchmarks are done using **quantized** models. You will need to compile OpenCV with TIM-VX following [this guide](https://github.com/opencv/opencv/wiki/TIM-VX-Backend-For-Running-OpenCV-On-NPU) to run benchmarks. The test results use the `per-tensor` quantization model by default.
-`NPU-Ascend310`: [Ascend 310](https://e.huawei.com/uk/products/cloud-computing-dc/atlas/atlas-200), 22 TOPS @ INT8. Benchmarks are done on [Atlas 200 DK AI Developer Kit](https://e.huawei.com/in/products/cloud-computing-dc/atlas/atlas-200). Get the latest OpenCV source code and build following [this guide](https://github.com/opencv/opencv/wiki/Huawei-CANN-Backend) to enable CANN backend.