Is STM32H7 or i.MX RT1062 better for image classification?

STM32H7 scores higher (100 vs 85) for image 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 i.MX RT1062?

STM32H7 chips cost $8-20, dev boards $30-80. i.MX RT1062 runs $6-12 per chip, $25-40 for dev boards. Pricing is comparable at volume.

Can both STM32H7 and i.MX RT1062 use TensorFlow Lite?

Yes, the STM32H7 (cortex-m7) supports TFLite Micro. The i.MX RT1062 (cortex-m7) also supports TFLite Micro.

Hardware Comparison

STM32H7 vs i.MX RT1062 for Image Classification

Winner: STM32H7 (score 100 vs 85)

Specs Comparison

Spec	STM32H7	i.MX RT1062
Manufacturer	STMicroelectronics	NXP
Architecture	ARM Cortex-M7 @ 480 MHz	ARM Cortex-M7 @ 600 MHz
SRAM	1024 KB	1024 KB
Flash	2 MB	8 MB
ML Acceleration	DSP, FPU	DSP, FPU
Connectivity	Ethernet, USB OTG HS/FS	Ethernet, USB OTG HS/FS
Chip Price	$8-20	$6-12
Image Classification Score	100 (Excellent)	85 (Excellent)

Detailed Comparison

The STM32H7 edges ahead for image classification with a compatibility score of 100 vs 85 for the i.MX RT1062. However, each platform has distinct advantages depending on deployment requirements. Memory: The STM32H7 provides 1024 KB SRAM, while the i.MX RT1062 offers 1024 KB. For image classification's 128 KB minimum requirement, both provide equivalent capacity. Performance: The STM32H7 runs at 480 MHz (cortex-m7, DSP) vs the i.MX RT1062 at 600 MHz (cortex-m7, DSP). Inference performance is comparable at these clock speeds. Connectivity: STM32H7 offers Ethernet, USB OTG HS/FS. i.MX RT1062 provides Ethernet, USB OTG HS/FS. Cost: STM32H7 chips run $8-20 (dev boards $30-80), while i.MX RT1062 chips cost $6-12 (dev boards $25-40). The i.MX RT1062 wins on cost per unit. Choose the STM32H7 when: the STMicroelectronics ecosystem fits your toolchain, or hardware variety is important (22 PlatformIO boards). Choose the i.MX RT1062 when: fastest possible inference is required, the NXP toolchain is preferred, or you need crossover mcu (600 mhz cortex-m7).

Explore Each Platform

STM32H7 Hardware Guides

STMicroelectronics cortex-m7 — 1024 KB SRAM, 480 MHz

i.MX RT1062 Hardware Guides

NXP cortex-m7 — 1024 KB SRAM, 600 MHz

FAQ

Is STM32H7 or i.MX RT1062 better for image classification?: STM32H7 scores higher (100 vs 85) for image 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 i.MX RT1062?: STM32H7 chips cost $8-20, dev boards $30-80. i.MX RT1062 runs $6-12 per chip, $25-40 for dev boards. Pricing is comparable at volume.
Can both STM32H7 and i.MX RT1062 use TensorFlow Lite?: Yes, the STM32H7 (cortex-m7) supports TFLite Micro. The i.MX RT1062 (cortex-m7) also supports TFLite Micro.

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