Extensions
Forms
6 (6 EVEX)
Data
Intel XED v2026.08.23

VFMULCPH multiplies complex numbers stored as pairs of halves, the real part in the even element and the imaginary part in the odd one above it: 16 products per zmm register. For a + bi times c + di it computes ac - bd and ad + bc. It is one of eight complex instructions of AVX512-FP16: VFCMULCPH multiplies by the complex conjugate of the second source, VFMADDCPH and VFCMADDCPH add the product to the destination, and VFMULCSH and the other SH forms handle the lowest pair only. VADDPH covers the format and the CPUID bits. Complex sums need no instruction of their own.

Pairs as elements

Everything that is per element elsewhere is per pair here: one mask bit covers both halves of a product, and a broadcast reads one 32-bit pair from memory ({1to16}). The encoding is D6h with the F3 prefix in EVEX map 6; the conjugating form has F2. The destination may be neither source register, or the instruction raises #UD, so compilers always compute into a third register.

The product is not correctly rounded. Intel’s optimization manual explains that the hardware runs it as a multiply followed by a fused multiply-add for each part, and rounds to FP16 after each step (Sections 18.4.3 and 18.5.3). Intel’s entry adds that it runs as if every MXCSR exception were masked, so it never faults on a floating-point exception, though it still sets the status flags.

In our builds

At -O2 with -march=x86-64-v4 -mavx512fp16, GCC 14 and Clang 23 keep z[i] = x[i] * y[i] over _Complex _Float16 arrays scalar: they compute each product with VMULSH and its relatives and call the library’s __mulhc3 only for a NaN result. With -ffast-math or -fcx-limited-range, GCC vectorizes the loop to VFMULCPH on zmm registers with one factor from memory; Clang splits the real and imaginary parts and multiplies them on xmm registers: with -ffast-math by VMULPH followed by VFMSUB231PH and VFMADD231PH, much as the hardware does, and with -fcx-limited-range by four VMULPH, a VSUBPH and a VADDPH. _mm512_fmul_pch(a, b) gives VFMULCPH in both, followed by a move out of the third register; for a pair broadcast from memory, Clang folds the load into {1to16} and GCC loads it with VBROADCASTSS first.

AMD’s Zen 5 guide does not list AVX512-FP16, and this site’s recorded cases include none of VFMULCPH.

In the optimization guide

What the optimization guide says about VFMULCPH, a line per claim. Each links to the claim in the guide, with its sources and where they differ.

Golden Cove and Raptor Cove

Forms

Every encoding of VFMULCPH that Intel XED knows, one row per XED instruction form (iform). How to read the notation.
InstructionEncodingRequires
VFMULCPH xmm {k}{z}, xmm, xmm VFMULCPH_XMM2f16_MASKmskw_XMM2f16_XMM2f16_AVX512EVEX.128.F3.MAP6.W0 D6 /rAVX10.1 or AVX512_FP16 + AVX512VL
VFMULCPH xmm {k}{z}, xmm, m128/m32bcst VFMULCPH_XMM2f16_MASKmskw_XMM2f16_MEM2f16_AVX512EVEX.128.F3.MAP6.W0 D6 /rAVX10.1 or AVX512_FP16 + AVX512VL
VFMULCPH ymm {k}{z}, ymm, ymm VFMULCPH_YMM2f16_MASKmskw_YMM2f16_YMM2f16_AVX512EVEX.256.F3.MAP6.W0 D6 /rAVX10.1 or AVX512_FP16 + AVX512VL
VFMULCPH ymm {k}{z}, ymm, m256/m32bcst VFMULCPH_YMM2f16_MASKmskw_YMM2f16_MEM2f16_AVX512EVEX.256.F3.MAP6.W0 D6 /rAVX10.1 or AVX512_FP16 + AVX512VL
VFMULCPH zmm {k}{z}, zmm, zmm, {er} VFMULCPH_ZMM2f16_MASKmskw_ZMM2f16_ZMM2f16_AVX512EVEX.512.F3.MAP6.W0 D6 /rAVX10.1 or AVX512_FP16
VFMULCPH zmm {k}{z}, zmm, m512/m32bcst VFMULCPH_ZMM2f16_MASKmskw_ZMM2f16_MEM2f16_AVX512EVEX.512.F3.MAP6.W0 D6 /rAVX10.1 or AVX512_FP16

Latency and throughput

What the scheduling models of LLVM 23.1.2 give for each form, not measurements: latency / reciprocal throughput in cycles, the ports under them. A row is a model, or models that agree; a dash, a form that its processors lack. Memory forms: latency from the address, ports without the load and store units. Which processors each model covers.
Modelxmm {k}{z}, xmm, xmmno mask
ymm {k}{z}, ymm, ymmno mask
xmm {k}{z}, xmm, xmmwith a mask, zeroing
ymm {k}{z}, ymm, ymmwith a mask, zeroing
xmm {k}{z}, xmm, m128/m32bcstno mask, broadcast
ymm {k}{z}, ymm, m256/m32bcstno mask, broadcast
xmm {k}{z}, xmm, m128/m32bcstwith a mask, zeroing
ymm {k}{z}, ymm, m256/m32bcstwith a mask, zeroing
zmm {k}{z}, zmm, zmm, {er}no mask, with {er}zmm {k}{z}, zmm, zmm, {er}with a mask, zeroingzmm {k}{z}, zmm, m512/m32bcstno mask, broadcastzmm {k}{z}, zmm, m512/m32bcstwith a mask, zeroing
Sapphire Rapids9 / 1p0115 / 1p0116 / 1p0121 / 1p019 / 2p015 / 2p016 / 2p021 / 2p0

Data flow

Where the elements of the sources go, element 0 on the right; results that depend on a control value are drawn for an example. How to read.

Element-wise: each FP16 pair of the result comes from the FP16 pair in the same place in each source.
VFMULCPH: element by elementResult FP16 pair i comes from FP16 pair i of xmm2 and xmm3. Result FP16 pairs 3 to 0: r3, unchanged (bit 2 of k1 is 0), r1, r0.0123xmm2a1110k1r0r1r3xmm10123xmm3or m128b

Every FP16 pair works alike: 4, 8 and 16 FP16 pairs in the xmm, ymm and zmm forms. The forms write under a mask: where its bit is 0, the element keeps its old value, or zeroes it with {z}. With m32bcst, one FP16 pair from memory stands for every element of the last source.

Result FP16 pair i comes from FP16 pair i of xmm2 and xmm3. Result FP16 pairs 3 to 0: r3, unchanged (bit 2 of k1 is 0), r1, r0.

Operation

What the forms do, in pseudocode that our tests run against results recorded on real processors. How to read.

if zmm1.number == zmm2.number:
    fault(UD)
if not src3.is_memory:
    if zmm1.number == src3.number:
        fault(UD)
for i in range(VL // 32):
    if k1[i]:
        ar = zmm2.f16[2 * i]
        ai = zmm2.f16[2 * i + 1]
        br = src3.f16[2 * i]
        bi = src3.f16[2 * i + 1]
        x = mul(ar, br)
        y = mul(ai, br)
        x = fnmadd(ai, bi, x)
        y = fmadd(ar, bi, y)
        zmm1.d[i] = y << 16 | x
    elif zeroing:
        zmm1.d[i] = 0
    # else: zmm1.d[i] keeps its value
# m32bcst: src3.d[i] is the m32 for every i
# (ar + ai*i)(br + bi*i) = x + y*i
# {er}: the form's rounding, not MXCSR.RC, and no flags
# exceptions as if masked (flags, never #XM): the SDM's claim, unchecked here
# zmm1 is zeroed from bit VL up

Not run on a processor: none of these processors has AVX512-FP16. The tests check its arithmetic against MPFR.

Operands

What each form reads and writes, as Intel XED records it: the operands of its syntax, in order, and the implicit ones that the syntax does not name. How to read.
OperandKindAction
VFMULCPH xmm {k}{z}, xmm, xmm/m128/m32bcst VFMULCPH ymm {k}{z}, ymm, ymm/m256/m32bcst VFMULCPH zmm {k}{z}, zmm, zmm/m512/m32bcst, {er}
xmm, ymm, zmmexplicitwrite (masked)
{k}explicitread (write mask)
xmm, ymm, zmmexplicitread
xmm/m128/m32bcst, ymm/m256/m32bcst, zmm/m512/m32bcstexplicitread

Flags

None: XED records no flag that the forms test or change.

Exceptions

The exception class is XED's name for the set of exception conditions that a form follows. How to read.

All forms
AVX512-E4

Attributes

What else XED records about the forms. How to read.

All forms
write masking; follows MXCSR
Memory forms
embedded broadcast (tuple Full); memory fault suppression

Intrinsics

The C intrinsics of Clang 23.1.2 that compile to VFMULCPH, each with the form it compiles to and the Clang options it needs. The forms come from compiling every intrinsic and decoding the result with Intel XED; all intrinsics A–Z explains the method.

IntrinsicCompiles to
_mm_fmul_pch __m128h _mm_fmul_pch(__m128h __A, __m128h __B)

VFMULCPH xmm, xmm, xmm EVEX.128 -mavx512fp16 -mavx512vl

_mm_mul_pch __m128h _mm_mul_pch(__m128h A, __m128h B)

VFMULCPH xmm, xmm, xmm EVEX.128 -mavx512fp16 -mavx512vl

_mm_mask_fmul_pch __m128h _mm_mask_fmul_pch(__m128h __W, __mmask8 __U, __m128h __A, __m128h __B)

VFMULCPH xmm {k}, xmm, xmm EVEX.128 -mavx512fp16 -mavx512vl

_mm_mask_mul_pch __m128h _mm_mask_mul_pch(__m128h W, __mmask8 U, __m128h A, __m128h B)

VFMULCPH xmm {k}, xmm, xmm EVEX.128 -mavx512fp16 -mavx512vl

_mm_maskz_fmul_pch __m128h _mm_maskz_fmul_pch(__mmask8 __U, __m128h __A, __m128h __B)

VFMULCPH xmm {k}{z}, xmm, xmm EVEX.128 -mavx512fp16 -mavx512vl

_mm_maskz_mul_pch __m128h _mm_maskz_mul_pch(__mmask8 U, __m128h A, __m128h B)

VFMULCPH xmm {k}{z}, xmm, xmm EVEX.128 -mavx512fp16 -mavx512vl

_mm256_fmul_pch __m256h _mm256_fmul_pch(__m256h __A, __m256h __B)

VFMULCPH ymm, ymm, ymm EVEX.256 -mavx512fp16 -mavx512vl

_mm256_mul_pch __m256h _mm256_mul_pch(__m256h A, __m256h B)

VFMULCPH ymm, ymm, ymm EVEX.256 -mavx512fp16 -mavx512vl

_mm256_mask_fmul_pch __m256h _mm256_mask_fmul_pch(__m256h __W, __mmask8 __U, __m256h __A, __m256h __B)

VFMULCPH ymm {k}, ymm, ymm EVEX.256 -mavx512fp16 -mavx512vl

_mm256_mask_mul_pch __m256h _mm256_mask_mul_pch(__m256h W, __mmask8 U, __m256h A, __m256h B)

VFMULCPH ymm {k}, ymm, ymm EVEX.256 -mavx512fp16 -mavx512vl

_mm256_maskz_fmul_pch __m256h _mm256_maskz_fmul_pch(__mmask8 __U, __m256h __A, __m256h __B)

VFMULCPH ymm {k}{z}, ymm, ymm EVEX.256 -mavx512fp16 -mavx512vl

_mm256_maskz_mul_pch __m256h _mm256_maskz_mul_pch(__mmask8 U, __m256h A, __m256h B)

VFMULCPH ymm {k}{z}, ymm, ymm EVEX.256 -mavx512fp16 -mavx512vl

_mm512_fmul_pch __m512h _mm512_fmul_pch(__m512h __A, __m512h __B)

VFMULCPH zmm, zmm, zmm EVEX.512 -mavx512fp16

_mm512_fmul_round_pch __m512h _mm512_fmul_round_pch(__m512h A, __m512h B, const int R)

VFMULCPH zmm, zmm, zmm, {er} EVEX.512 -mavx512fp16

_mm512_mul_pch __m512h _mm512_mul_pch(__m512h A, __m512h B)

VFMULCPH zmm, zmm, zmm EVEX.512 -mavx512fp16

_mm512_mul_round_pch __m512h _mm512_mul_round_pch(__m512h A, __m512h B, const int R)

VFMULCPH zmm, zmm, zmm, {er} EVEX.512 -mavx512fp16

_mm512_mask_fmul_pch __m512h _mm512_mask_fmul_pch(__m512h __W, __mmask16 __U, __m512h __A, __m512h __B)

VFMULCPH zmm {k}, zmm, zmm EVEX.512 -mavx512fp16

_mm512_mask_fmul_round_pch __m512h _mm512_mask_fmul_round_pch(__m512h W, __mmask16 U, __m512h A, __m512h B, const int R)

VFMULCPH zmm {k}, zmm, zmm, {er} EVEX.512 -mavx512fp16

_mm512_mask_mul_pch __m512h _mm512_mask_mul_pch(__m512h W, __mmask16 U, __m512h A, __m512h B)

VFMULCPH zmm {k}, zmm, zmm EVEX.512 -mavx512fp16

_mm512_mask_mul_round_pch __m512h _mm512_mask_mul_round_pch(__m512h W, __mmask16 U, __m512h A, __m512h B, const int R)

VFMULCPH zmm {k}, zmm, zmm, {er} EVEX.512 -mavx512fp16

_mm512_maskz_fmul_pch __m512h _mm512_maskz_fmul_pch(__mmask16 __U, __m512h __A, __m512h __B)

VFMULCPH zmm {k}{z}, zmm, zmm EVEX.512 -mavx512fp16

_mm512_maskz_fmul_round_pch __m512h _mm512_maskz_fmul_round_pch(__mmask16 U, __m512h A, __m512h B, const int R)

VFMULCPH zmm {k}{z}, zmm, zmm, {er} EVEX.512 -mavx512fp16

_mm512_maskz_mul_pch __m512h _mm512_maskz_mul_pch(__mmask16 U, __m512h A, __m512h B)

VFMULCPH zmm {k}{z}, zmm, zmm EVEX.512 -mavx512fp16

_mm512_maskz_mul_round_pch __m512h _mm512_maskz_mul_round_pch(__mmask16 U, __m512h A, __m512h B, const int R)

VFMULCPH zmm {k}{z}, zmm, zmm, {er} EVEX.512 -mavx512fp16

CPUID and processors

Each form belongs to an XED ISA set. A form can be used when the processor reports every CPUID bit of one of its ISA set's alternatives.

CPUID requirements and processors of the XED ISA sets above. Alternatives are separated by “or”; processors follow XED’s chip model, whose AMD processors end with Zen 2, and the CPU data of this site for Zen 3 to Zen 6.
ISA setCPUIDProcessors
AVX512_FP16_128

AVX10.1
CPUID.(EAX=07H,ECX=1):EDX[19] AVX10
CPUID.(EAX=24H,ECX=0):EBX[7:0] ≥ 1 AVX10 version

or

AVX512_FP16 + AVX512VL
CPUID.(EAX=07H,ECX=0):EDX[23] AVX512_FP16
CPUID.(EAX=07H,ECX=0):EBX[31] AVX512VL

Nova Lake, Sapphire Rapids, Emerald Rapids, Granite Rapids, Diamond Rapids, Zen 6
AVX512_FP16_256
Same as AVX512_FP16_128Same as AVX512_FP16_128
AVX512_FP16_512

AVX10.1
CPUID.(EAX=07H,ECX=1):EDX[19] AVX10
CPUID.(EAX=24H,ECX=0):EBX[7:0] ≥ 1 AVX10 version

or

AVX512_FP16
CPUID.(EAX=07H,ECX=0):EDX[23] AVX512_FP16

Same as AVX512_FP16_128

More AVX10.1 instructions

All 686 AVX10.1 instructions

Sources

  1. Intel XED v2026.08.23 (commit 0bcb6237345c): forms, encodings, operands, flags, exception classes, attributes, ISA sets, CPUID bits and chip model.
  2. The CPU data of x86-64.net: Zen 3 to Zen 6, from GCC’s -march feature sets and AMD’s Processor Programming References, which the page of each processor cites.
  3. Clang's x86 intrinsic headers, LLVM 23.1.2 (commit 85ac56026243): the intrinsics, their signatures and doc comments, and the Clang of that release, which compiled each of them.
  4. LLVM 23.1.2's x86 scheduling models (commit 85ac56026243): the latency, reciprocal throughput and ports of each form, as llvm-mca reports them.
  5. Intel Advanced Vector Extensions 10.2 Architecture Specification, revision 7.0 (361050-007, April 2026)
  6. Intel 64 and IA-32 Architectures Software Developer's Manual, Volume 2 (325383-093, September 2026): Volume 2C, page 5-185 (VFCMULCPH/VFMULCPH)
  7. Intel 64 and IA-32 Architectures Optimization Reference Manual, Volume 1 (248966-051, October 2026)
  8. Software Optimization Guide for the AMD Zen5 Microarchitecture (58455, rev. 1.00, August 2024), Wayback Machine copy of AMD's ZIP

The tables are derived from Intel XED, Copyright Intel Corporation, licensed under the Apache License 2.0; x86-64.net converted and reformatted them. The intrinsics and their signatures come from Clang and the timings from LLVM's scheduling models, both part of the LLVM Project, licensed under the Apache License 2.0 with LLVM Exceptions. The text is our own.