Espressif
512 KB SRAM with vector SIMD instructions makes this the best Espressif chip for ML inference. Native camera interface enables vision workloads.
| Processor | Dual-core Xtensa LX7 @ 240 MHz |
| Cores | 2 |
| Clock | 240 MHz |
| SRAM | 512 KB |
| PSRAM | 8 MB |
| Flash | 16 MB |
| FPU | none |
| Connectivity | Wi-Fi 802.11 b/g/n, Bluetooth 5.0 LE |
| Key Features | Vector instructions (SIMD), USB OTG, LCD/Camera interface, Up to 8 MB PSRAM |
| Price | $3–$8 (chip), $10–$25 (dev board) |
57 dev boards available across PlatformIO registries.
Excellent
Espressif's ESP32-S3 excels at anomaly detection via Edge Impulse. The 2-core xtensa-lx7 at 240 MHz with 512 KB SRAM handles 15 KB quantized…
Excellent
For anomaly detection, the ESP32-S3 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (16.0x the required 32 KB) and 240 MHz cloc…
Excellent
Espressif's ESP32-S3 excels at fall detection via Edge Impulse. The 2-core xtensa-lx7 at 240 MHz with 512 KB SRAM handles 20 KB quantized mo…
Excellent
For fall detection, the ESP32-S3 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 240 MHz clock en…
Excellent
Edge Impulse enables gesture recognition on the ESP32-S3 by training a classifier on IMU accelerometer and gyroscope data. Connect a 6-axis …
Excellent
Espressif's ESP32-S3 excels at gesture recognition via TFLite Micro. The 2-core xtensa-lx7 at 240 MHz with 512 KB SRAM handles 20 KB quantiz…
Excellent
The ESP32-S3 is an excellent match for image classification with Edge Impulse. 512 KB SRAM delivers 4.0x the 128 KB minimum while 240 MHz pr…
Excellent
The ESP32-S3 is an excellent match for image classification with TFLite Micro. 512 KB SRAM delivers 4.0x the 128 KB minimum while 240 MHz pr…
Excellent
Edge Impulse provides an end-to-end pipeline for deploying object detection on the ESP32-S3. You collect images, train a FOMO or MobileNet-S…
Good
The ESP32-S3 runs quantized object detection models via TFLite Micro at 2-5 FPS. Its 512 KB SRAM and vector instructions handle int8 MobileN…
Excellent
Espressif's ESP32-S3 excels at people counting via Edge Impulse. The 2-core xtensa-lx7 at 240 MHz with 512 KB SRAM handles 200 KB quantized …
Excellent
For people counting, the ESP32-S3 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (2.7x the required 192 KB) and 240 MHz clock …
Excellent
The ESP32-S3 is an excellent match for predictive maintenance with Edge Impulse. 512 KB SRAM delivers 8.0x the 64 KB minimum while 240 MHz p…
Excellent
The ESP32-S3 is an excellent match for predictive maintenance with TFLite Micro. 512 KB SRAM delivers 8.0x the 64 KB minimum while 240 MHz p…
Excellent
The ESP32-S3 is an excellent match for sound classification with Edge Impulse. 512 KB SRAM delivers 8.0x the 64 KB minimum while 240 MHz pro…
Excellent
For sound classification, the ESP32-S3 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 240 MHz cl…
Excellent
For voice recognition, the ESP32-S3 with Edge Impulse scores Excellent. Its 512 KB internal SRAM (4.0x the required 128 KB) and 240 MHz cloc…
Good
The ESP32-S3 handles on-device keyword spotting with TFLite Micro using DS-CNN models that classify 1-second audio windows into predefined c…
Excellent
For wildlife monitoring, the ESP32-S3 with Edge Impulse scores Excellent. Its 512 KB internal SRAM (4.0x the required 128 KB) and 240 MHz cl…
Excellent
The ESP32-S3 is an excellent match for wildlife monitoring with TFLite Micro. 512 KB SRAM delivers 4.0x the 128 KB minimum while 240 MHz pro…
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128 KB RAM · 64 MHz
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256 KB RAM · 64 MHz
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512 KB RAM · 200 MHz
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640 KB RAM · 250 MHz
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