Segmentation Fault in np.matmul on macOS 15.2 with Accelerate BLAS

I'm encountering a segmentation fault when using np.matmul with relatively small arrays on macOS 15.2. The issue only occurs in specific scenarios and results in a crash with the following error:

Exception Type: EXC_BAD_ACCESS (SIGSEGV)
Exception Codes: KERN_INVALID_ADDRESS at 0x0000000000000110
Termination Reason: Namespace SIGNAL, Code 11 Segmentation fault: 11

Full error log: Gist link

The crash consistently occurs on a specific line where np.matmul is called, despite similar np.matmul operations succeeding earlier in the same script. The issue cannot be reproduced in a separate script that contains identical operations. When I build the NumPy wheel using OpenBLAS, this issue no longer arises, which leads me to believe that it is related to a problem with Accelerate.

Environment NumPy Version: 2.1.3 Python Version: 3.12.7 OS Version: macOS 15.2 BLAS Configuration:

Build Dependencies:
  blas:
    detection method: system
    found: true
    include directory: unknown
    lib directory: unknown
    name: accelerate
    openblas configuration: unknown
    pc file directory: unknown
    version: unknown
  lapack:
    detection method: system
    found: true
    include directory: unknown
    lib directory: unknown
    name: accelerate
    openblas configuration: unknown
    pc file directory: unknown
    version: unknown
Compilers:
  c:
    commands: cc
    linker: ld64
    name: clang
    version: 15.0.0
  c++:
    commands: c++
    linker: ld64
    name: clang
    version: 15.0.0
  cython:
    commands: cython
    linker: cython
    name: cython
    version: 3.0.11
Machine Information:
  build:
    cpu: aarch64
    endian: little
    family: aarch64
    system: darwin
  host:
    cpu: aarch64
    endian: little
    family: aarch64
    system: darwin