ggml_cpu_features: Get All CPU Features

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Get All CPU Features

Description

Returns a named list of all CPU feature detection results. Useful for diagnostics and optimizing computation.

Usage

ggml_cpu_features()

Value

Named list with feature names and logical values

See Also

Other cpu_features: ggml_cpu_get_rvv_vlen(), ggml_cpu_get_sve_cnt(), ggml_cpu_has_amx_int8(), ggml_cpu_has_arm_fma(), ggml_cpu_has_avx(), ggml_cpu_has_avx2(), ggml_cpu_has_avx512(), ggml_cpu_has_avx512_bf16(), ggml_cpu_has_avx512_vbmi(), ggml_cpu_has_avx512_vnni(), ggml_cpu_has_avx_vnni(), ggml_cpu_has_bmi2(), ggml_cpu_has_dotprod(), ggml_cpu_has_f16c(), ggml_cpu_has_fma(), ggml_cpu_has_fp16_va(), ggml_cpu_has_llamafile(), ggml_cpu_has_matmul_int8(), ggml_cpu_has_neon(), ggml_cpu_has_riscv_v(), ggml_cpu_has_sme(), ggml_cpu_has_sse3(), ggml_cpu_has_ssse3(), ggml_cpu_has_sve(), ggml_cpu_has_vsx(), ggml_cpu_has_vxe(), ggml_cpu_has_wasm_simd()

Examples

features <- ggml_cpu_features()
print(features)
# On typical x86-64: sse3=TRUE, avx=TRUE, avx2=TRUE, ...

ggmlR documentation built on July 14, 2026, 1:08 a.m.