Hardware Comparison
STM32H7 vs RA6M5 for Sound Classification
Winner: STM32H7 (score 95 vs 90)
Published 2026-04-02
Specs Comparison
| Spec | STM32H7 | RA6M5 |
|---|---|---|
| Manufacturer | STMicroelectronics | Renesas |
| Architecture | ARM Cortex-M7 @ 480 MHz | ARM Cortex-M33 @ 200 MHz |
| SRAM | 1024 KB | 512 KB |
| Flash | 2 MB | 2 MB |
| ML Acceleration | DSP, FPU | DSP, FPU |
| Connectivity | Ethernet, USB OTG HS/FS | Ethernet, USB HS |
| Chip Price | $8-20 | $6-12 |
| Sound Classification Score |
Detailed Comparison
Both the STM32H7 and RA6M5 are strong choices for sound classification. The difference in compatibility scores (95 vs 90) is marginal, so the decision comes down to ecosystem preference, connectivity requirements, and budget. Memory: The STM32H7 provides 1024 KB SRAM, while the RA6M5 offers 512 KB. For sound classification's 64 KB minimum requirement, the STM32H7 provides more headroom. Performance: The STM32H7 runs at 480 MHz (cortex-m7, DSP) vs the RA6M5 at 200 MHz (cortex-m33, DSP). The STM32H7's significantly higher clock speed translates to faster inference. Connectivity: STM32H7 offers Ethernet, USB OTG HS/FS. RA6M5 provides Ethernet, USB HS. Cost: STM32H7 chips run $8-20 (dev boards $30-80), while RA6M5 chips cost $6-12 (dev boards $25-50). The RA6M5 wins on cost per unit. Choose the STM32H7 when: you need more RAM for larger models, the STMicroelectronics ecosystem fits your toolchain, or hardware variety is important (22 PlatformIO boards). Choose the RA6M5 when: the Renesas toolchain is preferred, or you need trustzone hardware security.
Explore Each Platform
FAQ
- Is STM32H7 or RA6M5 better for sound classification?
- STM32H7 scores higher (95 vs 90) for sound classification. The STM32H7's 1024 KB SRAM and 480 MHz clock provide a slight edge. However, ecosystem fit and connectivity needs should also influence your decision.
- What's the price difference between STM32H7 and RA6M5?
- STM32H7 chips cost $8-20, dev boards $30-80. RA6M5 runs $6-12 per chip, $25-50 for dev boards. Pricing is comparable at volume.
- Can both STM32H7 and RA6M5 use TensorFlow Lite?
- Yes, the STM32H7 (cortex-m7) supports TFLite Micro. The RA6M5 (cortex-m33) also supports TFLite Micro.
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