Hardware Comparison

STM32L4 vs nRF52840 for Voice Recognition

Winner: nRF52840 (score 70 vs 55)

Specs Comparison

Spec STM32L4 nRF52840
Manufacturer STMicroelectronics Nordic Semiconductor
Architecture ARM Cortex-M4F @ 80 MHz ARM Cortex-M4F @ 64 MHz
SRAM 128 KB 256 KB
Flash 1 MB 1 MB
ML Acceleration DSP, FPU DSP, FPU
Connectivity USB OTG FS Bluetooth 5.0 LE, 802.15.4 (Thread/Zigbee), NFC, USB 2.0
Chip Price $4-12 $5-8
Voice Recognition Score 55 (Good) 70 (Good)

Detailed Comparison

The nRF52840 edges ahead for voice recognition with a compatibility score of 70 vs 55 for the STM32L4. However, each platform has distinct advantages depending on deployment requirements. Memory: The STM32L4 provides 128 KB SRAM, while the nRF52840 offers 256 KB. For voice recognition's 128 KB minimum requirement, the nRF52840 offers more margin. Performance: The STM32L4 runs at 80 MHz (cortex-m4f, DSP) vs the nRF52840 at 64 MHz (cortex-m4f, DSP). Inference performance is comparable at these clock speeds. Connectivity: STM32L4 offers USB OTG FS. nRF52840 provides Bluetooth 5.0 LE, 802.15.4 (Thread/Zigbee), NFC, USB 2.0. Cost: STM32L4 chips run $4-12 (dev boards $15-50), while nRF52840 chips cost $5-8 (dev boards $20-35). The STM32L4 is more cost-effective for volume deployments. Choose the STM32L4 when: cost optimization is critical, the STMicroelectronics ecosystem fits your toolchain, or your team already uses this platform. Choose the nRF52840 when: you need maximum RAM headroom, Zephyr RTOS and BLE are priorities, or you need built-in 9-axis imu (lsm9ds1) on arduino nano 33 ble.

Explore Each Platform

FAQ

Is STM32L4 or nRF52840 better for voice recognition?
nRF52840 scores higher (70 vs 55) for voice recognition. The nRF52840's 256 KB SRAM at 64 MHz narrowly beats the alternative. However, ecosystem fit and connectivity needs should also influence your decision.
What's the price difference between STM32L4 and nRF52840?
STM32L4 chips cost $4-12, dev boards $15-50. nRF52840 runs $5-8 per chip, $20-35 for dev boards. Pricing is comparable at volume.
Can both STM32L4 and nRF52840 use TensorFlow Lite?
Yes, the STM32L4 (cortex-m4f) supports TFLite Micro. The nRF52840 (cortex-m4f) also supports TFLite Micro.

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