llama.cpp Release b11317 Fixes Benchmark Error Logging
Open-source project llama.cpp released version b11317, which updates its `llama-bench` benchmarking tool to ensure `GGML_LOG_ERROR` messages are properly displayed. Additionally, the update cleans up unused dead variables from the benchmarking code. Correct error logging in benchmarking tools ensures developers and users can accurately diagnose runtime failures when evaluating LLM inference performance. While this is a minor routine release, it maintains code cleanliness and improves developer experience across diverse hardware backends. The release builds binaries across multiple operating systems and architectures, including CUDA 12/13, Vulkan, ROCm, OpenVINO, SYCL, and Snapdragon hardware. Notably, the macOS Apple Silicon build with Arm KleidiAI acceleration remains disabled in this release.
## BACKGROUND
llama.cpp is a widely used C/C++ framework designed for efficient, local inference of Large Language Models (LLMs) built on top of the GGML tensor library. It includes `llama-bench`, an internal benchmarking tool that measures token processing speed and memory throughput across different hardware acceleration backends.