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llama.cpp b12064 optimizes Hexagon NPU permutes
llama.cpp Releaseshigh confidence
Why it matters
- →Fixes severe performance bottlenecks on Qualcomm Snapdragon NPUs during tensor reshaping.
- →Enables efficient channel-first to channel-last permutations for video VAEs and similar models.
- →Expands support for CUDA 13 and ROCm 10.0 in the latest binary builds.
llama.cpp version b12064 introduces optimized Hexagon vector permute operations for Qualcomm Snapdragon NPUs. The update replaces inefficient DMA descriptors with tiled HVX transpose kernels, significantly improving throughput for channel-first to channel-last data permutations. This change specifically targets performance bottlenecks in video VAEs and similar workloads that require frequent tensor reshaping. The release also includes standard platform binaries for CUDA 13, ROCm 10.0, and various CPU architectures.
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Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1llama.cpp b11338 optimizes Hexagon NPU and fixes DMA
llama.cpp Releases · October 2, 2026 · Same story
- 2llama.cpp b11680 Hexagon NPU and CUDA 13 support
llama.cpp Releases · October 16, 2026 · Same story
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