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March 4, 2026

INT8 vs INT4 Quantization: 2x Latency Drop on ARM Cortex-M

INT4 quantization cuts Cortex-M inference latency in half — but costs 18KB flash, breaks on residual nets, and drops accuracy 4-6% on edge cases.

Read the full article: INT8 vs INT4 Quantization: 2x Latency Drop on ARM Cortex-M


You're receiving this because you subscribed to TildAlice newsletter. | #INT4 Quantization, #INT8 Quantization, #ARM Cortex-M, #TFLite Micro, #Edge AI

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