Mixed-precision integer GEMM micro-kernels for ARM NEON, SVE2, Intel AMX, ARM SME, and RISC-V IME give 1.7 to 2.3 times faster quantized inference on three edge CPUs than the authors' FP32 baseline.
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The Cambrian Explosion of Mixed-Precision Matrix Multiplication for Quantized Deep Learning Inference
Mixed-precision integer GEMM micro-kernels for ARM NEON, SVE2, Intel AMX, ARM SME, and RISC-V IME give 1.7 to 2.3 times faster quantized inference on three edge CPUs than the authors' FP32 baseline.