Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Microcontroller | ESP32-S3-WROOM-1-N16R8 |
| Flash Memory | 16 MB Quad SPI |
| PSRAM | 8 MB Octal SPI |
| Connectivity | Wi-Fi 4 (802.11 b/g/n) & Bluetooth 5 (LE) |
| Processor Core | Dual-core Xtensa LX7 @ 240 MHz |
| AI Acceleration | Vector Instructions for Neural Networks |
| Interface Ports | USB Type-C, JTAG, GPIO, I2C, SPI, UART |
| Power Supply | 5V via USB or 3.3V LDO Regulator |
| Supported Frameworks | ESP-IDF, Arduino Core, MicroPython |
| Board Dimensions | 54mm x 28mm x 12mm |
Anonymous
Mar 24, 2026
Rating: 4/5
Good for learning AI on edge
As a beginner, I found the community examples for the Xiaozhi system very helpful. The board runs hot under heavy load, so I added a small heatsink. Otherwise, it's a fantastic learning tool.
Anonymous
Mar 22, 2026
Rating: 5/5
Robust for industrial prototyping
We are evaluating this for a control panel interface. The build quality is solid, and the extended temperature range seems accurate based on our initial stress tests. Highly recommended for evaluation kits.
Anonymous
Mar 20, 2026
Rating: 4/5
Great specs, minor documentation gaps
Hardware is top-notch with the N16R8 configuration. The AI acceleration features work well for keyword spotting. Only giving 4 stars because the specific pinout for the microphone array wasn't clearly labeled on the silkscreen.
Anonymous
Mar 19, 2026
Rating: 5/5
Excellent value for money
Compared to other ESP32-S3 boards, this one offers the best price-to-performance ratio for running local LLMs or voice assistants. The USB-C port makes flashing very convenient.
Anonymous
Mar 05, 2026
Rating: 5/5
Fast and Reliable
I used this for a smart home hub prototype. The dual-core processor handles multitasking effortlessly. Bluetooth LE pairing is quick, and the range is impressive for such a small board.
Anonymous
Mar 04, 2026
Rating: 5/5
Perfect for AI Voice Projects
This board is exactly what I needed for my Xiaozhi dialogue system project. The 8MB PSRAM handles the audio buffering smoothly, and the Wi-Fi connection is stable. Setup with ESP-IDF was straightforward.
Q: Is this compatible with the standard Arduino IDE?
A: Yes, the Beikecom ESP32-S3 N16R8 is fully compatible with the Arduino IDE. You need to install the ESP32 board package by Espressif Systems and select the 'ESP32S3 Dev Module' board definition.
Q: Can I run large language models locally on this 16MB flash?
A: While you can run quantized small language models (SLMs) or specific voice command models optimized for embedded systems, running full-scale large language models is not feasible due to memory constraints. The 8MB PSRAM helps, but model size must be carefully managed.
Q: Does the package include a USB cable?
A: Yes, the package includes a high-quality USB Type-C to Type-A data cable suitable for both power supply and programming/debugging purposes.
Q: Does this board come with a built-in microphone for the AI dialogue system?
A: No, this development board does not include a built-in microphone. It provides GPIO pins and I2S interfaces to connect external MEMS microphones or microphone arrays compatible with the Xiaozhi system.
Q: What is the maximum current this board can supply to peripherals via the 3.3V pin?
A: The onboard LDO regulator can typically supply up to 500mA total for the board and peripherals. We recommend keeping peripheral draw on the 3.3V pin under 300mA to ensure stability during Wi-Fi transmission bursts.
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