Is nRF52840 or i.MX RT1062 better for object detection?

i.MX RT1062 scores higher (85 vs 20) for object detection. The i.MX RT1062's 1024 KB SRAM at 600 MHz clearly outperforms the alternative. However, ecosystem fit and connectivity needs should also influence your decision.

What's the price difference between nRF52840 and i.MX RT1062?

nRF52840 chips cost $5-8, dev boards $20-35. i.MX RT1062 runs $6-12 per chip, $25-40 for dev boards. Pricing is comparable at volume.

Can both nRF52840 and i.MX RT1062 use TensorFlow Lite?

Yes, the nRF52840 (cortex-m4f) supports TFLite Micro. The i.MX RT1062 (cortex-m7) also supports TFLite Micro.

Hardware Comparison

nRF52840 vs i.MX RT1062 for Object Detection

Winner: i.MX RT1062 (score 85 vs 20)

Specs Comparison

Spec	nRF52840	i.MX RT1062
Manufacturer	Nordic Semiconductor	NXP
Architecture	ARM Cortex-M4F @ 64 MHz	ARM Cortex-M7 @ 600 MHz
SRAM	256 KB	1024 KB
Flash	1 MB	8 MB
ML Acceleration	DSP, FPU	DSP, FPU
Connectivity	Bluetooth 5.0 LE, 802.15.4 (Thread/Zigbee), NFC, USB 2.0	Ethernet, USB OTG HS/FS
Chip Price	$5-8	$6-12
Object Detection Score	20 (Not Recommended)	85 (Excellent)

Detailed Comparison

The i.MX RT1062 edges ahead for object detection with a compatibility score of 85 vs 20 for the nRF52840. However, each platform has distinct advantages depending on deployment requirements. Memory: The nRF52840 provides 256 KB SRAM, while the i.MX RT1062 offers 1024 KB. For object detection's 256 KB minimum requirement, the i.MX RT1062 offers more margin. Performance: The nRF52840 runs at 64 MHz (cortex-m4f, DSP) vs the i.MX RT1062 at 600 MHz (cortex-m7, DSP). The i.MX RT1062's higher clock provides faster inference throughput. Connectivity: nRF52840 offers Bluetooth 5.0 LE, 802.15.4 (Thread/Zigbee), NFC, USB 2.0. i.MX RT1062 provides Ethernet, USB OTG HS/FS. Cost: nRF52840 chips run $5-8 (dev boards $20-35), while i.MX RT1062 chips cost $6-12 (dev boards $25-40). The nRF52840 is more cost-effective for volume deployments. Choose the nRF52840 when: cost optimization is critical, the Nordic Semiconductor ecosystem fits your toolchain, or hardware variety is important (22 PlatformIO boards). Choose the i.MX RT1062 when: you need maximum RAM headroom, fastest possible inference is required, the NXP toolchain is preferred, or you need crossover mcu (600 mhz cortex-m7).

Explore Each Platform

nRF52840 Hardware Guides

Nordic Semiconductor cortex-m4f — 256 KB SRAM, 64 MHz

i.MX RT1062 Hardware Guides

NXP cortex-m7 — 1024 KB SRAM, 600 MHz

FAQ

Is nRF52840 or i.MX RT1062 better for object detection?: i.MX RT1062 scores higher (85 vs 20) for object detection. The i.MX RT1062's 1024 KB SRAM at 600 MHz clearly outperforms the alternative. However, ecosystem fit and connectivity needs should also influence your decision.
What's the price difference between nRF52840 and i.MX RT1062?: nRF52840 chips cost $5-8, dev boards $20-35. i.MX RT1062 runs $6-12 per chip, $25-40 for dev boards. Pricing is comparable at volume.
Can both nRF52840 and i.MX RT1062 use TensorFlow Lite?: Yes, the nRF52840 (cortex-m4f) supports TFLite Micro. The i.MX RT1062 (cortex-m7) also supports TFLite Micro.

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