Rk3588 npu test If using a lower version for verification, the We will use a Mixtile Blade 3, a low-power SBC based on the 8nm Rockchip RK3588 processor. linkedin. This document explains how to deploy large language models in Huggingface format to the RK3588 with NPU for hardware-accelerated inference using RKLLM. It implements a lot of algorithm accelerators, such as HDR, 3A, LSC, 3DNR, 2DNR, sharpening, dehaze, fisheye correction, gamma correction and so on. mikef90000 30/11/2023 - 03:43. 9. Currently using a USB-C to USB-C and it trained all 3 epochs without a reboot. 2. A developer created Python scripts to make it work. Refer to here for supported platforms. Support for Armbian in Amlogic, Rockchip and Allwinner boxes. Complete Guide to Deploying LLaMA 3. 2 2280 PCIe 3. Readme Activity. 0. Skip to content. Upload the rknn file to rk3588 and test it with the benchmark demo. Returns JSON response. The SDK only supports python3. 如何在rk3588设备上部署fsmn-vad并使用NPU加速？ 模型转换时候报错。 ValueError: The input shape [1, 'feats_length', 400] of 'speech' is not support! E load_onnx: Please set the 'inputs' / 'input_size_list' parameters of 'rknn. 24/Add_2 in your yolov8. rockchip object-detection npu rknn yolov7 rk3588 rk3568 rk3566 rk3588s rv1103 rv1106 rk3562 Resources. 722504] RKNPU fdab0000. For my usage I have some benchmarks comparing a number of AI Edge options for inferencing using an EfficentNet-Lite0 model. A post on X by Orange Pi notified us ¶ Introduction to the use of RK NPU. 2. useful-transformer is 2x faster than faster-whisper's int8 implementation. Linux Kernel - Collabora's rk3588-test branch at commit f7e1ed90; Arm Trusted Firmware - Mainline at commit f340f3d; Mainline U-Boot - v2025. md │ │ ├── rknn-toolkit2 │ │ │ ├── changelog-1. i8 is for int8 quantization, fp is for fp16 quantization. USB-PD handling was still missing (some Rockchip boards require early USB-PD handling 这里讨论的方法仅适用于 Rockchip 处理器中集成的 NPU。我使用带有 RK3588 处理器的ArmSoM Sige7设备对其进行了测试。 你可以用以下命令检查你的系统是否有 npu： dmesg | grep -i npu. 2 vs. i. This is great news for my own Rockchip chipset exploration, which still has a ways to go–there now seems to be working Mali GPU acceleration for LLMs, and having more people doing this kind of testing on ARM is both informative and a sign there’s interest in the small You can check if your system has npu with this command: dmesg | grep -i npu. 50, or you can specify the kernel series vaguely, for example: armbian-update -k 5. 8 $ conda activate npu-env #activate $ conda deactivate #deactivate ran a few benchmarks on llamacpp with this arm board because i wanted to see if the 35GB/s Lpddr4x bandwidth would hold in practice, it did not because this 8-core chip is actually only 4 A76 "power" cores the others have low performance but it is competitively priced, beats the rpi5 by 100% on benchmarks, has onboard NPU for image recognition projects and consumes 12 ·修改 “test. <output_rknn_path>(optional): Specify the path to save the RKNN An integrated NPU unit with 6 TOPs computing power can give local machine learning tasks a meaningful boost. You are running either Debian 11 or Ubuntu 22. 2 2280 socket for NVMe SSDs. <rknn_model>: Specified as the model path. RK3576 has a NPU(Neural Process Unit) that Neural network acceleration engine with processing performance up to 6 TOPS. Using this NPU module needs to download RKNN SDK which provides programming interfaces The project is a multi-threaded inference demo of Yolov8 running on the RK3588 platform, which has been adapted for reading video files and camera feeds. 04 và test thử demo Object Tracking dùng NPU của RK3588 của Orange Pi Viet Nam là nhà phân phối chính thức của Orange Pi tại Việt Nam, chuyên cung cấp máy tính nhúng cho dự án, nghiên cứu, hợp tác, phát triển sản phẩm. All demos in RKNN Model Zoo are verified based on the latest RKNPU SDK. The RK3588 features an NPU (Neural Process Unit) with a maximum performance of 6 TOPS. 2, OpenCL up to 2. rknpu2-test-v20220512 Latest May 12, 2022 Albeit a bit slow, it seems to work decently. The script for setting the frequencies is located in the scripts directory. 6 or higher (for basically any LLM except the smallest like Qwen 1. RK3588 is a general-purpose SoC based on ARM architecture, integrating quad-core Cortex-A76 and quad-core Cortex-A55 CPU, G610 MP4 graphics processor. This powerful CPU Media Transcoding. com: Banana Pi BPI-M7 LPDDR4x 16GB Single Board Computer, RK3588 CPU 6Tops NPU Mali-G610 GPU, 2X 2. com/airockchip/rknn-toolkit2/tree/master] When the The internal operations and capabilities of the RK3588 NPUs are mainly concealed within a closed-source SDK known as RKNPU2. Briefly, RKNN-Toolkit is a software development kit that provides users with model conversion, inference and performance evaluation on PC and The GPU of RK3588 is similar to RK3576 in terms of supported graphics standards, but has a higher OpenCL version (2. Parameter interpretation: <onnx_model>: Specify the path to the ONNX model. rockchip super-resolution npu rknn rk3588 Resources. 2 E Key 2230 slot (for WiFi/BT) Dual HDMI outputs (rated for 8k60) One HDMI input (rated for 4k60) DisplayPort 1. RK3588 NPU SRAM Instructions. This SDK can help users deploy RKNN models exported by RKNN-Toolkit2 and accelerate the Some arm chips on the market have a neural processing unit (NPU). GenBook-RK3588 is an open-source laptop with Rockchip's RK3588 at its heart. Resources. py is for the RKNN’s customized yolov5. Running TTS on the RK3588 NPU. 5 model from Hugging Face import scirknn clf = scirknn. With the Ubuntu 24. onnx. Progress. pdf │ │ └── Rockchip_Developer_Guide_SDMMC_SDIO_eMMC_CN. This provides developers with rich tools and The Banana Pi BPI-W3 is a router based development board, it design with Rochchip RK3588 quad ARM Cortex-A76 and quad Cortex-A55 consists of an eight-core CPU processor. npu: RKNPU: sram region: [0x00000000ff001000, 0x00000000ff0f0000), sram size: 0xef000 2、SRAM使用情况查询 可通过节点查询SRAM的使用情况 Seems I have found a solution. <dtype>(optional): Specify as i8 for quantization or fp for This is a repository used for testing the RK3588 NPU, use Orange Pi 5 Pro. <TARGET_PLATFORM>: Specified as the NPU platform name. 0, Single Board Computer (Radxa Rock 5B 32GB) Brand: Radxa. RK3588/RK3588S; RV1103/RV1106; Rename rknn_destroy_mem() Support more NPU operators, such as Where, Resize, Pad, Reshape, Transpose etc. 2 install rknpu Additionally, The board’s NPU supports frameworks like TensorFlow and PyTorch. 6 or python3. RKNPU kernel driver is responsible for interacting with NPU hardware. 本案例基于rknn api实现对图片中目标对象的识别，并将识别结果加以水印的方式添加至图像，并保存成图片文件。案例循环测试10此统计出推理的平均处理耗时。测试基于创龙科技rk3588工业评估版tl3588-evm进行。 Prepare any image, name it test. RK3399Pro, Kirin970 Does TVM actually use NPU? Does OpenCL driver use NPU? Moreover, the NPU of RK3576/RK3588 supports various learning frameworks, including TensorFlow, PyTorch, Caffe, MXNet, and others popular in artificial intelligence development. pdf │ ├── NPU │ │ ├── README. ,g the code after outputs = model. 8nm process, quad-core Cortex-A76 + quad-core Cortex-A55; ARM Mali-G610 MC4 GPU, embedded high performance 2D image acceleration module; 6. (Marketing materials says 6TOPS, but that only applies to INT4 and is doing convolution). そのため、Orange Pi5のNPUを用いたyoloアルゴリズム実装を日本語で記載を行い、多くの人にOrange Pi5と機械学習(yolo)の可能性を知っていただきたい。 target_platform='rk3588'をtest. 04 Download NPU Project 05 Send llm-rk3588 This repository is intend to provide a complete guide on how to run LLMs on rk3588 SBC, specifically Orange Pi 5 Plus. ISC license Activity. 064] Output(Deconvolution2DFunction_0): size_with_stride la ROC-RK3568-PC uses RK3568 quad-core 64-bit Cortex-A55 processor, with 22nm lithography process, has frequency up to 2. py 测试推论的图档改为训练资料图档，输出结果如下图，可以明确 About this item . Key features. This is the first accelerator-only driver for an edge NPU submitted to the mainline kernel, and hopefully it can serve as a template for the next ones to come, as the differences among NPUs of different This project aims to provide full hardware transcoding pipeline in FFmpeg CLI for Rockchip platforms that support MPP (Media Process Platform) and RGA (2D Raster Graphic Acceleration). rknn. At the same time, he expanded the original output to three. RKNN Runtime provides C/C++ programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications. Using this NPU module needs to download RKNN SDK which provides programming interfaces for RK3566/RK3568 chip platforms with NPU. Get a Stable Diffusion 1. 5GbE Ethernet for AI Edge Computing/Cloud Servers/Video Encoder, Support Android Linux (BPI-M7(16+128GB)) : Electronics Vizoso has managed to enable real-time object detection using the NPU on the Rockchip RK3588 SoC with around 30 FPS performance using the SSSDLite MobileDet model. One of primarily differences is that we can give the NPU a list of tasks (RKNN terminology) to execute and then wait for Rockchip RK3588の場合、NPUコアは3つ搭載されているので、3の倍数が効率が良いです。 モデルのサイズについて 今回の検証はsmallで行いましたが、nanoでも推論はできて、更に高速に動作しました。 Contribute to AndrewJNg/NPU-on-rk3588 development by creating an account on GitHub. 7X single-core performance boost in Geekbench 4, and a 3. The majority of benefit comes from the large matrix multiplications (of NPU and RKNN SDK The Turing RK1 compute module is equipped with an NPU (Neural Processing Unit), a neural network acceleration engine that can deliver up to 6 TOPS of processing performance. System on Module. Install python packages. This SDK can help users deploy RKNN models exported by RKNN-Toolkit2 and accelerate the 1. forward(). Contribute to QSLee-Net/openpilot-NPU-on-rk3588 development by creating an account on GitHub. Finally, the RK3588 NPU is really a convolution acceleration engine. I took the liberty to rewrite the entire thing in C++. Report repository My LinkedIn - https://www. img. e. Release dates, price and performance comparisons are also listed when available. 0, and 3. RKNN Toolkit is the software used for testing and using the NPU inside Rockchip's chips like the RK3588 found in the Orange Pi 5 and Radxa Rock 5. 11 stars. Contribute to 455670288/rknn-yolov8s-multi-thread-inference development by creating an account on GitHub. Given the huge interest in Large Language Models (LLMs) and the quest for optimal RKLLM 可以帮助用户快速将 LLM 模型部署到 Rockchip 芯片中，本仓库所述目前支持芯片：rk3588，整体框架如下： 要使用RKNPU，用户需要先在电脑上运行RKLLM-Toolkit工具，将训练好的模型转换为RKLLM格式的模型，然后在开发板上使用RKLLM C API进行推理。 To enable use cases where the service is exposed for whatever reason. For other models like Caffe, TensorFlow, etc. Analyze the output to figure out if there is an NPU or not. png 987×633 189 KB. 999512 RK3588은 락칩(Rockchip)의 하이엔드급 AP이다. For development ,please choose Banana Pi BPI-W3 . Contribute to kuaileBenbi/MVS-RKNN development by creating an account on GitHub. It could work decently RK3588 Allows access via HTTP to LLM running on RK3588 NPU. 2; embedded NPU supports INT4/INT8/INT16/FP16 mixed computing, with up to 6Tops of computing power, which can You signed in with another tab or window. 1 fork. Add new output layout NHWC (C has alignment restrictions) . This repo installs easily the utilities for running AI with the NPU on the boards, it does not install the Android utilities, simulator, server Tomeu Vizoso has been working on an open-source driver for NPU (Neural Processing Unit) found in Rockchip RK3588 SoC in the last couple of months, and the project has nicely progressed with object detection working fine at 30 fps using the SSDLite MobileDet model and just one of the three cores from the AI accelerator. txt 1. _Guide_SD_Boot_CN. It is quite slow (~same speed as CPU running OpenBLAS) when doing matrix multiplication. ArmSoM Community RK3588 CPU GPU NPU DDR fixed frequency and performance mode setting method. Although I really haven’t found a use for rknn-toolkit2 and ollama still can’t make use of the RK3588’s advanced hardware, I was finally able to test Jellyfin with RK3588 support–it’s a bit crashy (and sometimes it’s hard to figure out if it’s the clients or the server that crash), but the lessening in CPU load is markedly noticeable, and makes it more Amazon. <TARGET_PLATFORM>: Specify NPU platform name. 265 和 VP9 解码器、 8K@30fps 的 H The plot shows useful-transformers Whisper tiny. RK3588. 04 or later versions. 0 TOPs NPU， enable various AI applications; 8K video codec ,8K@60fps display out; Rich Display Interface, multi-screen display; Run Stable Diffusion on RK3588's Mali GPU with MLC/TVM. About. Either RKNN got stuck submitting commands or I get the mysterious message `W RKNN: [07:11:36. There are also some tests in C, In the meantime, we'll take note of the interest in RK3588 NPU support for future considerations. ArmSoM-w3 [RK3588] armsom May 10, 2023, 7:45am 1. Debugfs is a special type of virtual filesystem that provides debug information in real time, similar to what you get with With the Etnaviv/Vivante NPU open-source driver support in decent shape, Tomeu's next challenge has been to take on an open-source driver for the Rockchip NPU IP found in SoCs like the RK3588(S) and RK3568. When vaguely specified, the latest version of the specified series will be automatically used. 5 model from Hugging Face 00:00:00 - Intro. 0 lanes the 3588 provides) An M. Improve support for non When you need to change RK3588 CPU GPU DDR NPU performance. This example will print the labels and corresponding scores of the test image detect results, as follows: face @(302 76 476 300) score=0. Example: armbian-update -k 5. Reply. Check it with dmesg | grep -i rknpu. It supports WiFi 6, Dual 1000M ethernets. Contribute to cluangar/YOLOv5-RK3588-Python development by creating an account on GitHub. 1 from Rockchip should work, if your board has one of these it will very likely be Rockchip's kernel) Now change the It would seem some conversions bench ms (FPS) but forget to test mAP (Mean Average Precision) or mention input size. Posting more details (and perhaps other LLMs soon) and installation method this weekend or next week, I'm going to bed now xD. py，将路径指向下载好的chatglm-6b模型文件夹，随后运行脚本，开始转换 RK3588 introduces a new generation totally hardware-based maximum 48-Megapixel ISP (image signal processor). 6. com reserves the right to test "dead on arrival" returns and impose a customer fee equal to 15 percent of the WayPonEV CM3588 NAS Network Storage CPU Module, 4/8/16/32GB RAM, up to 256GB eMMC, 8-core Rockchip RK3588 Chip – 6. 0/3. 0TOPS NPU for Cloud Server, Laptop Alternatives and AI Deep Learning (Carrier Board) Amazon. It provides an end-to-end solution for transforming trained deep-learning models into executable files that run on embedded devices. config This document explains how to deploy large language models in Huggingface format to the RK3588 with NPU for hardware-accelerated inference using RKLLM. Vincent VTS: It is the Vendor Test Suite from android automatic testing kit. You signed out in another tab or window. NXP. We will utilize a Mixtile Blade 3 Case with a built-in fan, and the case also functions as a heatsink to maintain a cool temperature. It works reasonably well on the CPU. RK3588 has a NPU(Neural Process Unit) that Neural network acceleration engine with processing performance up to 6 TOPS. Long story short, this node is related to the bounding Rockchip RK3588 8-Core 64-Bit Processor . npu: Adding to iommu group 0 [ 7. It may be released in June. Topics. This provides developers with rich tools and libraries, enabling them to easily conduct model training and inference, effectively addressing various big data computation simple yolov5 rtspserver for rk3588. Currently, it supports the allocation of SRAM for Internal and Weight memory types. Neural network acceleration engine with processing performance up to 6 TOPS ; Include triple NPU core, and support triple core co-work, dual core co-work, and work independently ; Support integer 4, integer 8, integer 16, float I want to consolidate my HA server and frigate server so I'll be using a Rock 5b rk3588 eventually. RK3588 integrates four Cortex-A76 cores and four Cortex-A55 cores, as well as a separate NEON coprocessor, supporting 8K video codec and decoding. They act independently and can't work together to make a single inference faster. 2; embedded NPU supports INT4/INT8/INT16/FP16 mixed computing, with up to 6Tops of computing power, which can Coupled with the NPU, up to 1Tops, RK3568 has a impressed performance in image processing, storage, communication, and multi-function peripherals. 1. If you don't mind, could you test Llama 2 7B? If it works I might try to convert Llama 3 8B which is extremely good as an LLM. Default is i8. RK3588 is the new generation flagship SoC from Rockchip. And 2 files should appear. 博主在瑞芯微RK3588的开发板上跑了deepsort跟踪算法，从IP相机中的server拉取rtsp视频流，但是fps只有1. This SDK can help users deploy RKNN models exported by RKNN-Toolkit2 and accelerate the According to the spec, the NPU on RK3588 can do 0. 00:02:15 - NPU performance 6TOPS 3NPU or 6TOPS 2 NPU, who will win?00:03:37 - In a WireGuard throughput test (where it encrypts and decrypts traffic at the same time) it’s more than twice as fast and in cpuminer the Intel is over 40% faster. api import RKNNLite; Orange pi 5 During the past weeks I have paused work on the driver for the Vivante NPU and have started work on a new driver, for Rockchip's own NPU IP, as used in SoCs such as RK3588(S) and RK3568. The test model is yolov5s_relu_tk2_RK3588_i8. Use the rknn_yolov5_demo as template to test the inference, disable the OEM post-processing code and program the one for YoloV8 as the dimension of inference output are different. Using this NPU module needs to download RKNN SDK which provides programming interfaces for RK3588S/RK3588 chip platforms with NPU. January 11, 2024, 4:07pm #148. predict(X_test) The RK3588 NPU and rknn-toolkit2. config' to fix the input shape! Code It's also like an imitator of friendlylec r4s, but i think it is much biggger than r4s to contain 4 Rj45 ports. You switched accounts on another tab or window. api import RKNNLite; Orange pi 5 yolov8s在rk3588的推理部署，并使用多线程池并行npu推理加速. Many recent processors include AI As for the WiFi card, not sure if Armbian supports it. AI computing operations per seconds: 6 TOPS: 6 TOPS: Crypto engine: SHA-1, SHA-256/224, SHA-512/384 How to Transform and Test the Inference Model of Forlinx RK3588 Development Board? RKNN (Rockchip Neural Network) is a deep learning inference framework for embedded devices. 1. Having different video input and output interfaces, it is suitable for scenarios such as smart NVR, cloud terminal, IoT gateway and RK3588. py 转换模型，笔者也同时将 test. 8 $ conda activate npu-env #activate $ conda deactivate #deactivate Moreover, the NPU of RK3576/RK3588 supports various learning frameworks, including TensorFlow, PyTorch, Caffe, MXNet, and others popular in artificial intelligence development. config”API增加指定traget_platfrom为”rk3588”，并修改 “rknn_load_rflite”API所指定的model名称为刚刚传入的文件名称，如下图： RK3588 NPU简 介 作为瑞芯微新一代旗舰工业处理器，RK3588 NPU性能可谓十分强大，6TOPS设计能够实现 How to use Rockchip 6TOPs NPU to accelerate the processing of network packets, do you have any good ideas？ SoC: Rockchip RK3588 CPU: Quad-core ARM Cortex-A76(up to 2. AI Accelerator, NPU 3. /matmul_fp16_test 1 32 16 I get "RKNPU_SUBMIT returned -1" and the output in dmesg: RKNPU: job: 000000004eb23a7b, iommu doma Skip to content RK3568 NPU hw is slightly different to RK3588. 15. 3 stars. Installing a customized Ubuntu OS and using SSH are key steps to unlock the NPU's potential. stuartiannaylor. 4GHz, 6 TOPS computing power NPU, and can be equipped with up to 32GB of large memory. If you have adb and need to connect to it for debugging, you need to add parameter to rknn. Test video And actual multithreading to support concurrent synthesis. 💻【Rockchip RK3588 Octa-core】：Mini PC has an Octa-core 64-bit processor, its frequency is up to 2. These bindings have only been tested on the RK3588 (specifically the Radxa Rock Pi 5B) but should work on other RK3588 based SBC's. You signed in with another tab or window. 04 , OpenCV, ncnn and NPU All models are quantized to int8 , unless otherwise noted. armsom May 10 Reverse engineering the rk3588 npu. <dtype>(optional): Specify as i8 or fp. 5GbE Ethernet for AI Edge Computing/Cloud Servers/Video Encoder, Support Android Linux (BPI-M7(32+128GB)) Share: TB-RK3588X use Rockchip’s latest flagship SOC chip RK3588. I can connect Docker exec in to the same container and the test app works Here we demonstrate yolov5 object detection against 3 video streams by utilizing the 3 NPU cores on the RK3588. - grapySoda/rk3588_sample_code Collabora is also hopeful that Tomeu Vizoso’s open-source kernel driver for the RK3588’s NPU will also be upstreamed next year. 4GHz and 4 Cortex-A55 cores at 1. 722606] RKNPU fdab0000. py) ← previous page next page → Contribute to longcanopi/rkdocs-rk3588 development by creating an account on GitHub. 4 (8K30) via USB C; Dual 2. npu: Looking up mem-supply from Utilizes multi-threaded asynchronous operations on the rknn model to increase the NPU utilization of RK3588/RK3588s, thereby improving inference frame rates (it should also work on devices like RK3568 after modification, but the author does not have an RK3568 development board). This is starting to get interesting, let's see if in the near future they add compatibility to Llama 3 and Phi 3. 1), and its unique shader core and layered tiler structure may make it superior in graphics processing capabilities and better able to cope with complex graphics rendering tasks. py e. Step 7. The build-in NPU supports INT4/INT8/INT16/FP16 hybrid operation and computing power is up to 6TOPs. GPL-3. Android Demo. RKNN-Toolkit-Lite2 provides Python programming interfaces for Rockchip NPU platform Accessing the Orange Pi 5 Pro's NPU is complicated but possible with the right software and skills. The build-in NPU supports INT4/INT8/INT16/FP16 hybrid operation and computing power is An RK3588 chipset (with 4xA76/2. Thank you for your input and for being a part of the YOLOv8 community! 🚀 @danielealbano, thanks for sharing that helpful tip! 🌟 The rknn2-toolkit simulator indeed offers a great way to test the YOLOv8 model conversion without needing the 2 How to test NPU 2. NPU performance. Partially because the RK3588 although have a 3-core NPU. RK3588 adds the function of running a single model on multiple cores at the same time. In the next video, I may record the deployment process on Raspberry Pi or Description: <onnx_model>: Specify ONNX model path. LITTLE asymmetric core design. SoC: Rockchip RK3588 octa-core processor with 4 Cortex NPU (neural processing unit) with up to 6 TOPS of AI performance; In benchmarks provided to CNX-Software, the RK3588 offers a 2. I think it's safe to assume that the JH7100 was a "we put everything we had into these chips" test run and the NNE and NVDLA was part of the failed parts of this test. 2) Use C++ version of deep learning library ArmSoM-AIM7 uses Rockchip RK3588, a new generation flagship eight-core 64-bit processor with a main frequency of up to 2. QuartzPro64 USB3 does not work 官方在 github 上有提供对应 RK3588 NPU 的 Library 与范例程序 rknpu2， 可以直接在 OPi 5 Plus安装并呼叫 NPU 执行，以下记录安装过程供各位参考。 ·修改 “test. 8, here is an example of creating a virtual environment for python3. Thankfully, Rockchip utilizes the debugfs feature. 2，和放PPT一样卡顿，无法投入实际应用。 Rockchip boards offer immense potential for running AI models at speeds comparable to or even faster than Nvidia Jetson boards but at a fraction of the cost and with fewer supply chain issues. Amazon. 0 forks. txt │ │ │ ├── requirements_cp36-1. The mountain of questionable design is unreal. com reserves the right to test "dead on arrival" returns and impose a customer fee equal to 15 percent of the product sales price if Amazon. Watchers. 1-arm64-20240116. Such as 'rk3588'. Forks. This popular new chip gives users the option of many popular open-source operating systems, including Ubuntu, Debian,and Armbian. 8 forks. This is from my efforts to reverse engineering the RK3588 NPU. 8. 2 VPU: Qwen 1. You can use the RKNN-Toolkit2 to convert these 众所周知，RK3588有6 Tops的NPU算力，不拿来用用真是太可惜了。正巧最近官方也放出了使用NPU跑LLM的套件 修改test. Either way, in some months the majority of images should have the NPU driver updated so anyone can choose the image that suits best. to exchange and correct in the comments. 3. 值得庆幸的是，Rockchip 使用了 在瑞芯微rk3588上部署paddleseg的模型（如pp-liteseg），发现在npu只调用Core0，且占用率只有5%-15%左右，有没有办法提高npu的占用率 Hi all, I was wondering if there was any more information about the NPU speeds on the orange pi, specifically in the FP16. No description, website, or topics provided. Reload to refresh your session. Run Stable Diffusion on RK3588's Mali GPU with MLC/TVM. . I spent the past few days trying to get Waifu2x (Anime image upscaling) and endup defeated. npu: Looking up rknpu-supply from device tree [ 7. 1-arm64-20241011. Support a311d, s922x, s905x3, s905x2, s912, s905d, s905x, s905w, s905, s905l, rk3588, rk3568, rk3399 Link to → NPU. RKNN NPU. NPU¶. Contribute to ChuanSe/yolov5-PT-to-RKNN development by creating an account on GitHub. en model's inference times across the examples with varying durations. rk3588 This performance data were collected based on the maximum CPU and NPU frequencies of each platform with version 1. 00:01:12 - Difference between RK3588 and RK3576 (CPU and GPU). hi very nice explanation and test. This includes hardware decoders, encoders and filters. 8GHz) GPU: Mali-G610 MP4, compatible with OpenGLES 1. LITTLE design of A76+A55. The issue I came across in physical mode of the RK3588 NPU Hi guys! I'm currently trying to develop a fork of the rknn-toolkit2 by Rockchip, which contains some scripts and modifications for more easily installing the tools required for using the NPU in the RK3588. csv - How long does it take to setup the matrix multiplcation YoloV10 use layer operations yet unknown to Rock NPU toolset. After successful conversion, you will get an rkllm model. config” API 增加指定 traget_platfrom为”rk3588”，并修改 “rknn_load_rflite” API 所 RK3588 introduces a new generation totally hardware-based maximum 48-Megapixel ISP (image signal processor). 50 -u dev When specifying the kernel version number through the -k parameter, you can accurately specify a specific version number, for example: armbian-update -k 5. And can support multiple streams as there are 3 NPU cores. 6. Run in python terminal (library test, successful when no errors are returned) from rknnlite. You can use Ollama as a chatbot Contribute to QSLee-Net/openpilot-NPU-on-rk3588 development by creating an account on GitHub. 4 GHz. This SDK can help users deploy RKNN models exported by RKNN-Toolkit2 and accelerate the Input Video 720P 25FPS Output almost 60FPSMy Base Code:https://github. 海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5. 3. a repo that houses a minimalistic accuracy test of the cpp api to run on the RK3588 NPU - iXcess/supercombo_accuracy_test Hi all, I am a bit puzzled - I trying to add the RK3588 NPU to Frigate. What In this video I show you Stable Diffusion on the NPU of the Rockchip RK3588. $ sudo apt update $ sudo apt install python3-dev python3-numpy Follow this docs to install conda. The SoC features a 6TOPS NPU for AI tasks and supports up to 32GB of LPDDR4x RAM and 128GB of eMMC flash storage. It adopts the big. Add new version of driver supporting the query of frequency, voltage, setting of a delay time for shutdown , etc. result. 2 M Key Connector with PCIe 3. But other rk3588 based board should be able to run without problem. py; out. me/CVML_teamUpdate after RK It aims to provide lite bindings in the spirit of the closed source Python lite bindings used for running AI Inference models on the Rockchip NPU via the RKNN software stack. ,6Tops@INT8 NPU,8G memory,32G eMMC storage on Reverse engineering the rk3588 npu. The NPU makes TTS run at 6~9x realtime. Currently generate a 512x512 image costs about 500 seconds (including model loading and GPU kernel compilation time. Run infer. 8B Chat, goes pretty fast tbh. When the localGPT load the model there are several line with tensor message, I have the same message Maybe the real proof localGPT on orange pi 5 is using the 3 core NPU would be librknnrt. md at main · av1d/rk3588_npu_llm_server OrangePi 5 Ultra SBC features an RK3588 SoC, up to 16GB LPDDR5, Mali-G610 GPU, NPU (6TOPS), 8K support, Wi-Fi 6E, and BT 5. Then run python3 again in docker . py' i get Rockchip RK3588 8-Core 64-Bit Processor . RKNN's C API is. py” 档案，在呼叫 “rknn. the library used (Note: the sdk version is 1. I have a stand-alone app working just fine, but when I add it in to Frigate, it hangs the module if I add from rknnlite. With support of 8K video decoding and 4K video encoding, while also supporting multiple 4K output, RK3588 is very attractive for high-end display applications. RK3588 has a NPU(Neural Process Unit) that Neural network acceleration engine Using NPU driver 0. 2-1B-RK3588 I modified the num_beams parameter to test the differences between beam search and greedy search. 1 OS. 1 Debian11 (bullseye) rk3588-sd-debian-bullseye-desktop-6. For your hardware interference: You need to remove the node /model. 2 How to test NPU 2. but when I run . Derivatives should possibly work fine too. 4GHz) and quad-core Cortex-A55 CPU (up to 1. py to get the yolov5s. RK3588 support multi-batch multi-core mode; When RKNN_LOG_LEVEL=4, it supports to display the MACs utilization and bandwidth occupation of each layer. ROCK 5 Series. Tested on the following OS: 2. You need the Rockchip NPU driv Download scientific diagram | Testing results on the RK3588 platform. V Offloading fp16 multiplication to RK3588 NPU using my open source library. load_onnx', or set the 'dyanmic_input' parameter of 'rknn. <output_rknn_path>(optional): Specify save path for the RKNN model, default save in the same directory as ONNX model with name RKNN-Toolkit2 is a software development kit for users to perform model conversion, inference and performance evaluation on PC and Rockchip NPU platforms (RK3588, RK3588S). org automated benchmarking software. The server outputs a JSON response and therefore you can use cURL, AJAX, Python, or whatever you want. Specification of Banana Pi BPI-M7 SBC: Processor: Rockchip RK3588 with quad-core Cortex-A76 (up to 2. To let YoloV10 run on an NPU framework, kaylorchen has modified the onnx file by replacing these layers. com/cluangar/YOLOv8-RK3588-Python Testing AI and LLM on Rockchip RK3588 using Mixtile Blade 3 SBC with 32GB RAM . com: WayPonDEV CM3588 Plus Network Storage Module NAS Kit, 32GB LPDDR5 Single Board Computer, RK3588 CPU 6TOPs NPU Mali-G610 GPU, Support 4X NVMe SSD for Home Cloud Server, 8K Video Encoders (32+256GB) : Electronics You signed in with another tab or window. init_runtime. It adopts LGA 506pin package method, which can expand a variety of display interfaces and industrial application interfaces. 722333] RKNPU fdab0000. image. MX9 Series; 04 Download NPU Project Add target_platform='rk3588' to rknn. While the interface is fully compatible with Jetson Nano, the PCIe interface has been upgraded to PCIe3. 1, 2. Volume is a deduction item. Readme License. useful-transformer uses FP16 matrix multiplication on the NPU available in the RK3588 processor. This is a product launched by a small hardware manufacturer in China. 1 1-lan. NPU documentation (which some are in Chinese, good that I do speak it) heavily implies that it is designed as a vision model processor. For the last couple of weeks I have kept chipping at a new userspace driver for the NPU in the Rockchip RK3588 SoC. To get the most out of it, you'll want to use frameworks that are optimized for this hardware. 4GHz cores and 4xA55/1. <TARGET_PLATFORM>: Specify the NPU platform name. 04, OpenCV, ncnn and NPU Radxa Zero 3 with Ubuntu 22. 分析输出以确定是否存在 NPU。 检查 Rockchip NPU 利用率. Compile Executable File Re-program pre- and post- processing code to fit the model into RK3588 NPU hardware. com/Serious_WKMy Telegram channel - https://t. If you want to test yolov8n with ros2 for yourself kit, click the link A while ago I build a TTS server based on Piper that support both streaming output and using the RK3588 NPU for acceleration. This performance data are collected based on the maximum NPU frequency of each platform. 5GbE ports WayPonDEV Black Metal Case for Banana Pi BPI-M7 LPDDR4x Open Source Single Board Computer, Metal Heat Sink for BPI-M7 RK3588 SBC 6Tops NPU Mali-G610 GPU Development Board (Metal Case) Share: 2 How to test NPU 2. , to run on the RK3588 platform, conversions are needed. This SDK can help users deploy RKNN models exported by RKNN-Toolkit2 and accelerate the The results of this test will require some additional analysis beyond the reported scores due to the Rock 5B’s RK3588 chip’s big. To use the NPU Rock 5B RK3588 8-core CPU SBC, GPU, NPU, HDMI with 8K Output, and M. NPU for RK3588 5. Running the board using the Ameridroid power adapter, I had previously been using a USB-A to USB-C cable. 2 watching. 물론 삼성, 애플, 퀄컴에서 생산하는 모바일 용 AP에 비하면 한참 못 미치지만 산업용이나 일반적으로 SBC(Single Board Computer)라 부르는 쪽에서 RK3588에는 RK3399Pro와 Run your yolov7 object detection with Rockchip NPU platforms (RK3566, RK3568, RK3588, RK3588S, RV1103, RV1106, RK3562). MLPClassifier('iris_quantized. Contribute to mtx512/rk3588-npu development by creating an account on GitHub. When you need to change RK3588 CPU GPU DDR NPU performance. 4GHz main frequency, integrated ARM Mali-G610, built-in 3D GPU, compatible with OpenGL ES1. 4GHz. Contribute to sagi21805/matmul-npu development by creating an account on GitHub. Contribute to icetd/RkYoloRtspServer development by creating an account on GitHub. 4 GHz) and quad-core Cortex-A55 cores (up to 1. rk3588 npu开发案例分享. After succeeding at open-source NPU 图2 npu开发流程框图. CPU Test Suite Average Results for Rockchip RK3588. 723196] RKNPU fdab0000. /test. I I'm currently trying to develop a fork of the rknn-toolkit2 by Rockchip, which contains some for rknn-toolkit2 V1. At present, the price is not clear, but the manufacturer said it would be released on May 1. pt)在RK3588(S)上的部署(实时摄像头检测). python3 test. Also it looks like Windows on RK3588 is now avalible to test. Rockchip RK3588 is one of the most anticipated processors for the year on this side of the Internet with the octa-core processor features four Cortex-A76 cores, four Cortex-A55 cores, an NPU, and 8K video decoding support. A typical target platform is RK3588/3588s based devices. 04 version by Joshua Riek for Rockchip RK3 Introduction. com/in/maltsevanton My Twitter - https://twitter. Compile Executable File First thing first: In your PC: The test. Write better code with AI but will have to download and cache the stories260K models in a temporary test directory (only ~2MB download). First, as of RKNN2 v1. RK3588 introduces a new generation of ISP with the largest 48M pixels completely based on hardware. from publication: Edge-YOLO: Lightweight Infrared Object Detection Method Deployed on Edge Devices | Existing target detection This is a quick demo of my new project. As expected, the i3 and i5 systems dominate this test, though the Rock 5B turns in a very respectable result – over 2x the performance of the Raspberry Pi. <TARGET_PLATFORM>: Specify the name of the NPU platform. i8 for doing quantization, fp for no quantization. RK3588, RK3562 platforms. Superresolution running on Rockchip NPU (RK3588, etc. The only way to get the NPU to do stuff is via ONNX. But man it's fast on the NPU!On GitHub: marty1885 SRAM total size: 978944, used: 0, free: 978944 [ 7. NPU-on-rk3588. 47 stars. 0 license Activity. The U-Net runs at 21sec per iteration. How to performance of RK3568? Let’s test its functions on FET3568-C System On Module(SoM) of Forlinx to take a close look at its specific performance. It has been open source and can be found in the Rockchip kernel code. Then create a virtual environment. g. Please check the above link and re-program the post-posting code in your tests. Use YoloV8 in RK3588 NPU. I will be working on this in the next few days so it can be properly submitted for review. rknn') clf. Sign in Product GitHub Copilot. 2 install rknpu Currently, by following the README you should be able to use Qwen Chat 1. It should also work with other models 官方在 github 上有提供对应 RK3588 NPU 的 Library 与范例程序 rknpu2， 可以直接在 OPi 5 Plus 安装并呼叫 NPU 执行，以下记录安装过程供各位参考。 ·执行 python3 test. 8GHz, along with an independent NEON coprocessor. 0 4-lane and PCIe2. then just add the parameter target_platform='rk3588' to rknn. 04), and when i try to install 'rknn_toolkit_lite2' and try to run 'test. [Update December 2021: check out our post with the RK3588 datasheet for the latest details about the processor]The roadmap shows an The NPU RK3588 is a powerful neural processing unit designed to accelerate machine learning tasks. 0GHz, with dual-core GPU and high-performance NPU, supporting up to 8G RAM. Environment dependencies. 2 and Vulkan1. api import RKNNLite; Orange pi 5 The SDK only supports python3. The OrangePi 5 Ultra SBC features the Rockchip RK3588 SoC, which boasts an octa-core 64-bit processor with 4 Cortex-A76 cores running at 2. Let's compare that against some baseline numbers like NumPy and PyTorch. rk3568 NPU for object recognition also works fine with current builds 125ms inference, but it has a 1TOPS NPU, rk3588 is 6TOPS. 2 install rknpu This repository contains demos for using the RKNPU (Rockchip NPU) with the RK3588 platform. Navigation Menu Toggle navigation. 0x4 NVMe slot (leveraging the PCIe 3. It would seem some conversions bench ms (FPS) but Matrix multiplication on the NPU inside RK3588. gz; 2. The API server supports a basic authentication scheme. mainly the RK3588; Linux, not Android; Linux kernels from Rockchip (as of writing 5. Sorry , I think neither your localGPT is using the NPU. The version of the NPU in the RK3588 claims a performance of 6 TOPS across its 3 cores, though from what I have read, people are having trouble making use of The goal is to make LLMs running on the NPU practical and usable as I'm not a fan of the CLI interactions due to their limited usability. 2 Ubuntu20 (focal) rk3588-sd-ubuntu-focal-desktop-6. so you can test all BPI-LM7 Đây là trang Cài đặt Ubuntu 22. 10 and 6. Note: RK1808, RV1109, RV1126 does not support Android. csv - the actual performance of the matrix multiplcation itself; init. Currently, the official Rockchip driver consists of a GPL'ed out-of-tree kernel driver and a closed-source user-space. DRM: It is the Direct Rendering Manager, a Orange Pi 5 Ultra SBC with Rockchip RK3588 SoC, Mali-G610 GPU, and 6 TOPS NPU for 8K and Edge AI Applications. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking. 8GHz cores, plus a Mali-G610 MP4 GPU and an NPU) An M. 2 install rknpu Support more NPU operators, such as Reshape、Transpose、MatMul、 Max、Min、exGelu、exSoftmax13、Resize etc. npu: RKNPU: rknpu iommu is enabled, using iommu mode [ 7. In this video I show you Ollama to work with Large Language Models on the Radxa Rock 5B with 16GB RAM and the Rockchip RK3588. api i Skip to content. Limited support for RV1103, RV1106 platforms. NPU RK3588 has a NPU(Neural Process Unit) that Neural network acceleration engine with processing performance up to 6 TOPS. 2 and Vulkan 1. config. Yeah we are lacking empirical benchmarks of input size and resultant mAP and FPS. Integrated with ARM Mali-G610 MP4 quad-core GPU and built-in AI accelerator NPU, it provides 6Tops computing power and Description: <onnx_model>: Specify the path to the ONNX model. It implements many algorithm accelerators, such as HDR, 3A, LSC, 3DNR, 2DNR, sharpening, defogging, fisheye correction, gamma correction, etc. ) Topics. BPI-LM7 core board uses the Rockchip RK3588 flagship chip,integrating a 6Tops NPU and a high-performance quad-core Mali-G610 MP4 GPU. 0: Yolo detection demo release. 999512 Banana Pi BPI RK3588 Core board and development Kit with Rockchip RK3588 run android 12RockChip RK3588CPU quad ARM Cortex-A76 and quad Cortex-A55 consists of Amazon. 案例说明. The NPU embedded in RK3588 supports INT4/INT8/INT16/FP16 mixed operation, and the computing Modify Code From rknn-toolkit2. 2 1B Models to RK3588 Orange Pie 5plus Development Board - QuLin123/llama3. Until 【芯片介绍】 RK3588 是瑞芯微新一代旗舰级高端处理器，具有高算力、低功耗、超强多媒体、丰富数据接口等特点。 搭载四核 A76+ 四核 A55 的八核 CPU 和 ARM G610MP4 GPU ，内置 6 TOPs 算力的 NPU 。 具有五大技术优势： · 内置多种功能强大的嵌入式硬件引擎，支持 8K@60fps 的 H. Stars. 4X Armed with experience converting scikit-learn to RKNN. And the manufacturer said it would be a very RK3588 is the flagship 8K SoC chip released by Rockchip ↗, which adopts ARM architecture and is mainly used for PCs, edge computing devices, personal mobile Internet devices, and other digital multimedia applications. Open-source developer Tomeu Vizoso recently began the effort of creating an open-source, reverse-engineered driver for the Rockchip NPU found in some of the latest Rockchip SoCs. py. Add Weight Share reducing system bandwidth consumption. We previously tested LLM’s on Rockchip RK3588 SBC using the Mali G610 GPU, and expected NPU support to come soon. He can be followed via Twitter, Referring to this benchmark (YOLOv5 TensorRT Benchmark for NVIDIA® Jetson™ AGX Xavier™ and NVIDIA® Laptop 2), I also tested the very popular YOLOv5 with the Mixtile Blade 3 at hand to see how it works on the RK3588 chip. 5. Here are some commonly supported ML frameworks for the RK3588: rk3588_s:/ # dmesg | grep rknpu -i RKNPU fdab0000. 8 GHz) GPU: Arm Mali-G610 MP4; NPU: 6 TOPS Neural Processing Unit; Memory/Storage Options: Up to 32GB LPDDR4X RAM. Need to start yolov7 on my rockchip board with rk3588 (ubuntu 22. Support Platform refer here. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second. Neural network 使用NPU需要下载RKNN SDK，RKNN SDK 为带有 NPU 的 RK3588S/RK3588 芯片平台提供编程接口，能够帮助用户部署使用 RKNN-Toolkit2 导出的 RKNN 模型，加速 AI 应用的落地。 参考rknn_toolkit_lite2\examples\inference_with_lite\test. This SDK can help users deploy RKNN models exported by RKNN-Toolkit2 and accelerate the Benchmarks for the Rockchip RK3588 can be found below. Orange Pi 5 Plus uses Rockchip RK3588 8 core 64 bit processor, up to 2. RK3566 has a NPU(Neural Process Unit) that Neural network acceleration engine with processing performance up to 1 TOPS. Collabora also touched on U-Boot support with the company mentioning that most of the SoC support already landed last year. Checking Rockchip NPU utilization. 2, OpenCL 2. 5GbE Ethernet for AI Edge Computing/Cloud Servers/Video Encoder, Support Android Linux (BPI-M7(8+64GB)) : Electronics Amazon. In addition, with its strong Comparison of the technical characteristics between the processors, with the Rockchip RK3588 on one side and the Rockchip RK3576 on the other side, also their respective performances with the benchmarks. 1/2. Rock 5 with Ubuntu 22. yolov5模型(. Hi, I'm trying to run your code on rk3568. Contribute to Bobe-Wang/NPU_RK3588 development by creating an account on GitHub. [https://github. Banana Pi BPI-M7 LPDDR4x 16GB Single Board Computer, RK3588 CPU 6Tops NPU Mali-G610 GPU, 2X 2. interesting. The actual inference time is less). The built-in dedicated NPU is mainly designed for AI applications. jpg on your board. py编写测试例子。 1. The ArmSoM Sige7 is a compact single-board computer (SBC) powered by the RK3588, an octa-core 64-bit SoC clocked at 2. Although this is a late post, the RK3588 NPU is very good for the performance vs price. This has been tested on the Mekotronics R58 M Rockchip RKLLM toolkit (also known as rknn-llm) is a software stack used to deploy generative AI models to Rockchip RK3588, RK3588S, or RK3576 SoC using the built-in NPU with 6 TOPS of AI performance. Report repository Setup a custom dietpi image for the RK3588; Test out the RK3588 open-source NPU driver on a single node; Setup automation for image building and deployment for the RK3588; Getting the RK3588 open-source NPU driver working on all nodes; Running a ML model (YOLOv8 or later) on RK3588 open-source driver (or at least getting it running) The RK3588 NPU seems to be distant cousin of the NVDLA architecture in that the some of the terminology is similar and the core units has similar functions and pipe lines to NVDLA although they have been named differently. The build-in NPU supports INT4/INT8/INT16/FP16 hybrid operation and computing power is Paroli - TTS with RK3588 NPU support Hi all, I just want to share my project that I think people will be interested. 1-arm64-20240511. 01-rc4; Note that there are patches/modifications applied to the kernel and u-boot. removing this line and I will get the prints. Look at the C++ and Python for examples each have a readme on how to use it. The --auth flag will generate a bearer token that is different every time and both websocket and HTTP Llama2's inference to be compatible with the RK3588 NPU API - mhl6829/llama2. 8B in less than 10 commands (need to test this, let's hope it works) and have RKNN toolkit 2 and RKLLM installed on your system, avoiding converting to RKLLM format, reading docs, compiling on your own, needing another PC Easier usage of LLMs in Rockchip's NPU on SBCs like Orange Pi 5 and Radxa Rock 5 series - Pelochus/ezrknn-llm. rknn file, which is ready to run on the rk3588 device. How to install on Rockchip devices | Windows on R Get the full desktop experience of Windows on your Raspberry Pi or Rockchip-based single-board computers. $ conda create -n npu-env python=3. On the upper right you can see the NPU usage and on the bottom right the CPU and RAM usage. 1 watching. 8). In this video I show you running a Large Language Model (LLM) on the NPU of the Rockchip RK3588. It includes an M. No NPU support (should be ready soon) Board Specific. 8 $ conda activate npu-env #activate $ conda deactivate #deactivate The SDK only supports python3. Home ; Products . c-rk3588. I suggest reviewing the RK3568 TRM (part 2) it should give you an idea of the register 1. Contribute to AndrewJNg/NPU-on-rk3588 development by creating an account on GitHub. 5 TFLOPS at FP16 under matrix multiplication. Looking at NPU usage it seems it is only using about 60% of 2 cores, perhaps some optimisations on Rockchip's end to use all 3 cores at max usage would boost this to around double speed. 1-arm64-20231113. com reserves the right to test "dead on arrival" returns and impose a customer fee equal to 15 percent of the product sales price if the customer misrepresents the condition of The userspace driver is in a less polished state, but fully featured at this state. jpg is your output; About. so usage , but no idea how to make it working 图2 npu开发流程框图. 本案例基于rknn api实现对图片中目标对象的识别，并将识别结果以加水印的方式添加至图像，并保存成图片文件。案例循环测试10次，统计出推理的平均处理耗时。测试基于创龙科技rk3588工业评估板tl3588-evm进行。 The board fortunately leaves the RPi form factor behind and measures 100 x 74mm (close to but definitely not Pico-ITX – mounting hole positions also differ from Pico-ITX). gz; rk3568-sd-debian-bullseye-desktop-6. - rk3588_npu_llm_server/README. The RK3588 SOC contains 1MB of SRAM, of which 956KB can be used by each IP on the SOC, which supports the designated allocation for RKNPU; SRAM can help RKNPU applications reduce DDR bandwidth pressure. Integer Math: 14,606 MOps/Sec: Floating Point Math: 7,923 MOps/Sec: Find Prime Numbers: 14 Million Primes/Sec: Random String Sorting: 9,628 Thousand 转载自：《rk3588使用npu进行模型转换和推理，加速AI应用落地》 🍉零、引言. I am very happy to report that the work has gone really smooth and I reached my first milestone: running the MobileNetV1 model with all convolutions accelerated by the NPU. A while ago I build a TTS server based on Piper that support both streaming output and using the RK3588 NPU for acceleration. Follow our guide to transform and test your models on Forlinx OK3588-C development board. pyに追加してください。 The project's latest milestone, announced over the weekend, is the ability to run the SSDLite MobileDet object detection model — specifically tailored for use with low-power mobile-centric accelerator hardware like the NPU in the RK3588. N100 still has Quick Sync on their side and the RK3588 has an NPU but shame software support is lacking. (The post-processing code in the yolov8 can be copy-paste to the test. hkwbi liigk oxdzfxr kayzod moimmg wlqqnukg keemgdw ldzg drlgool zder