Espressif
512 KB SRAM with RISC-V core supports ML inference for lightweight models. Wi-Fi 6 + Thread enables versatile IoT connectivity for edge AI deployments.
| Processor | Single-core RISC-V @ 160 MHz |
| Cores | 1 |
| Clock | 160 MHz |
| SRAM | 512 KB |
| Flash | 4 MB |
| FPU | none |
| Connectivity | Wi-Fi 6 (802.11ax), Bluetooth 5 LE, 802.15.4 (Thread/Zigbee) |
| Key Features | Wi-Fi 6 with OFDMA and TWT, Matter/Thread support via 802.15.4, RISC-V architecture, LP core for ultra-low-power operation, Hardware crypto acceleration |
| Price | $1–$3 (chip), $5–$15 (dev board) |
5 dev boards available across PlatformIO registries.
Excellent
Espressif's ESP32-C6 excels at anomaly detection via Edge Impulse. The 1-core risc-v at 160 MHz with 512 KB SRAM handles 15 KB quantized mod…
Excellent
For anomaly detection, the ESP32-C6 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (16.0x the required 32 KB) and 160 MHz cloc…
Excellent
For fall detection, the ESP32-C6 with Edge Impulse scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 160 MHz clock en…
Excellent
The ESP32-C6 is an excellent match for fall detection with TFLite Micro. 512 KB SRAM delivers 8.0x the 64 KB minimum while 160 MHz processes…
Excellent
Espressif's ESP32-C6 excels at gesture recognition via Edge Impulse. The 1-core risc-v at 160 MHz with 512 KB SRAM handles 20 KB quantized m…
Excellent
For gesture recognition, the ESP32-C6 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 160 MHz clo…
Good
The ESP32-C6 handles image classification effectively with Edge Impulse. 512 KB SRAM at 160 MHz provides 4.0x headroom over the 128 KB requi…
Good
Running image classification on the ESP32-C6 with TFLite Micro is practical. 512 KB SRAM meets the 128 KB minimum with 4.0x headroom. The 16…
Good
The ESP32-C6 handles object detection effectively with Edge Impulse. 512 KB SRAM at 160 MHz provides 2.0x headroom over the 256 KB requireme…
Good
The ESP32-C6 handles object detection effectively with TFLite Micro. 512 KB SRAM at 160 MHz provides 2.0x headroom over the 256 KB requireme…
Good
Espressif's ESP32-C6 is a solid choice for people counting using Edge Impulse. The risc-v core at 160 MHz with 512 KB SRAM accommodates 200 …
Good
The ESP32-C6 handles people counting effectively with TFLite Micro. 512 KB SRAM at 160 MHz provides 2.7x headroom over the 192 KB requiremen…
Excellent
Espressif's ESP32-C6 excels at predictive maintenance via Edge Impulse. The 1-core risc-v at 160 MHz with 512 KB SRAM handles 30 KB quantize…
Excellent
Espressif's ESP32-C6 excels at predictive maintenance via TFLite Micro. The 1-core risc-v at 160 MHz with 512 KB SRAM handles 30 KB quantize…
Excellent
The ESP32-C6 is an excellent match for sound classification with Edge Impulse. 512 KB SRAM delivers 8.0x the 64 KB minimum while 160 MHz pro…
Excellent
Espressif's ESP32-C6 excels at sound classification via TFLite Micro. The 1-core risc-v at 160 MHz with 512 KB SRAM handles 40 KB quantized …
Excellent
For voice recognition, the ESP32-C6 with Edge Impulse scores Excellent. Its 512 KB internal SRAM (4.0x the required 128 KB) and 160 MHz cloc…
Excellent
For voice recognition, the ESP32-C6 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (4.0x the required 128 KB) and 160 MHz cloc…
Good
The ESP32-C6 handles wildlife monitoring effectively with Edge Impulse. 512 KB SRAM at 160 MHz provides 4.0x headroom over the 128 KB requir…
Good
Running wildlife monitoring on the ESP32-C6 with TFLite Micro is practical. 512 KB SRAM meets the 128 KB minimum with 4.0x headroom. The 160…
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