Peephole optimizations optimize and canonicalize code to enable other optimizations but are error-prone. Our prior research on Alive, a domain-specific language for specifying LLVM’s peephole opti- mizations, automatically verifies the correctness of integer-based peep- hole optimizations and generates C++ code for use within LLVM. This paper proposes Alive-FP, an automated verification framework for float- ing point based peephole optimizations in LLVM. Alive-FP handles a class of floating point optimizations and fast-math optimizations involv- ing signed zeros, not-a-number, and infinities, which do not result in loss of accuracy. This paper provides multiple encodings for various floating point operations to account for the various kinds of undefined behavior and under-specification in the LLVM’s language reference manual. We have translated all optimizations that belong to this category into Alive- FP. In this process, we have discovered seven wrong optimizations in LLVM.