v2.3.0 - Community Builds Thread

[gianni-rosato]

Community Builds Thread

This is a place for the community to share unofficial tools not affiliated with the project — mainly consisting of binaries compiled by community members.

Trust

⚠️ Community-built binaries are not affiliated with the SVT-AV1-PSY project & are to be used at your own risk. If you encounter bugs while using a community-built binary, ensure that you double-check with the person responsible for providing you with the binary before submitting an issue report.

Architecture

When downloading pre-compiled binaries, you might see AVX, AVX2, AVX-512, x86-64-v3, etc. If you don't know exactly what ISA extensions your CPU supports, here is a chart to help you quickly understand your hardware's support:

Not Vendor-Specific

x86-64    : Processors lacking SSE4.2 and newer features
x86-64-v2 : Processors with features up to and including SSE4.2
x86-64-v3 : Processors with features up to and including AVX and/or AVX2
x86-64-v4 : Processors with features up to and including AVX512

ISA extensions like AVX, AVX2, & AVX512 are for vector processing which SVT-AV1-PSY relies heavily on for its fast multithreaded performance. Below are some helpful charts to help you narrow down the best options if you have popular x64 hardware:

AMD

Generation                                             Vectors  Build
Zen   (1xxx)                                           AVX2     x86-64-v3 / znver1
Zen+  (1xxxAF-2xxx-3xxxG/H/U/C)                        AVX2     x86-64-v3 / znver1
Zen2  (3xxx-4xxxS/G/H/U-5700U-5500U-5300U-7520U-7320U) AVX2     x86-64-v3 / znver2
Zen3  (5xxx-7330U-7530U-7730U)                         AVX2     x86-64-v3 / znver3
Zen3+ (6xxx-7xxxH/U)                                   AVX2     x86-64-v3 / znver3
Zen4  (7xxx-8xxxG)                                     AVX512   x86-64-v4 / znver4

Intel (Desktop)

Generation                Vectors  Build
Haswell     (4th gen)     AVX2     x86-64-v3 / haswell
Broadwell   (5th gen)     AVX2     x86-64-v3 / broadwell
Skylake     (6th gen)     AVX2     x86-64-v3 / skylake
Kaby Lake   (7th gen)     AVX2     x86-64-v3 / skylake
Coffee Lake (8-9th gen)   AVX2     x86-64-v3 / skylake
Comet Lake  (10th gen)    AVX2     x86-64-v3 / skylake
Rocket Lake (11th gen)    AVX512   x86-64-v4 / rocketlake
Alder Lake  (12th gen)    AVX2     x86-64-v3 / alderlake
Raptor Lake (13-14th gen) AVX2     x86-64-v3 / raptorlake

Included below is even more information about what is available when specifying -march & -mtune on x64 CPUs:

Known valid x64 arguments for -march=:

i386 i486 i586 pentium lakemont pentium-mmx winchip-c6 winchip2 c3 samuel-2 c3-2 nehemiah c7 esther i686 pentiumpro pentium2 pentium3 pentium3m pentium-m pentium4 pentium4m prescott nocona core2 nehalem corei7 westmere sandybridge corei7-avx ivybridge core-avx-i haswell core-avx2 broadwell skylake skylake-avx512 cannonlake icelake-client rocketlake icelake-server cascadelake tigerlake cooperlake sapphirerapids emeraldrapids alderlake raptorlake meteorlake graniterapids graniterapids-d arrowlake arrowlake-s lunarlake pantherlake bonnell atom silvermont slm goldmont goldmont-plus tremont gracemont sierraforest grandridge clearwaterforest knl knm intel geode k6 k6-2 k6-3 athlon athlon-tbird athlon-4 athlon-xp athlon-mp x86-64 x86-64-v2 x86-64-v3 x86-64-v4 eden-x2 nano nano-1000 nano-2000 nano-3000 nano-x2 eden-x4 nano-x4 lujiazui yongfeng k8 k8-sse3 opteron opteron-sse3 athlon64 athlon64-sse3 athlon-fx amdfam10 barcelona bdver1 bdver2 bdver3 bdver4 znver1 znver2 znver3 znver4 znver5 btver1 btver2 generic native

Known valid x64 arguments for -mtune=:

generic i386 i486 pentium lakemont pentiumpro pentium4 nocona core2 nehalem sandybridge haswell bonnell silvermont goldmont goldmont-plus tremont sierraforest grandridge clearwaterforest knl knm skylake skylake-avx512 cannonlake icelake-client icelake-server cascadelake tigerlake cooperlake sapphirerapids alderlake rocketlake graniterapids graniterapids-d arrowlake arrowlake-s pantherlake intel lujiazui yongfeng geode k6 athlon k8 amdfam10 bdver1 bdver2 bdver3 bdver4 btver1 btver2 znver1 znver2 znver3 znver4 znver5

• Note: -march=foo implies -mtune=foo unless you also specify a different -mtune. This is one reason why using -march is better than just enabling options like -mavx without doing anything about tuning.

Antivirus

🛑 Be wary of antivirus software on Windows detecting EXEs distributed here as malicious software. While they may not always legitimately be malicious, it is important to maintain a healthy level of skepticism when running code that someone else has compiled.

[gitoss]

If anyone wants to experiment with speeding up encoding with -ffast-math ... it sets -fno-honor-nans and generates a nan warning in enc_dec_process.c.

This can be cirumenvented by using -Xclang -funsafe-math-optimizations which still sets a lot of fp optimizations, but not finite math only. I'm using Visual Studio with LLVM 19.1.3 https://releases.llvm.org/19.1.0/tools/clang/docs/UsersManual.html

I still have no idea if this speed bump produces visible artifacts, or what other non-intended consequences there could be. Works just fine for me so far though.

[ItachiUchiha-IU]

I have made this from my smartphone while using my pc on remote, so if I made something wrong and anything doesn't work pls comment below.
Mainline changed a default cmake flag so we had to turn it off because it would've overwritten the default LTO setting (which is fat) and built with LTO thin which is slower.

The zip includes the generic builds: x86-64, x86-64-v2, x86-64-v3, x86-64-v4
and the march specific builds: znver1, znver2, znver4, haswell, broadwell, skylake, rocketlake, alderlake, raptorlake

cmake --fresh -B svt_build -T ClangCL -DBUILD_SHARED_LIBS=OFF -DSVT_AV1_LTO=OFF -DENABLE_AVX512=$ONOFF -DCMAKE_CXX_FLAGS_RELEASE="/DNDEBUG /clang:-O2 -flto -march=$allmarch" -DCMAKE_C_FLAGS_RELEASE="/DNDEBUG /clang:-O2 -flto -march=$allmarch"

The zip is a Matryoshka cause github doesnt support 7z
SvtAv1EncApp-windows-all-march-but-znver3.zip
For more infos, findings and discussions about the builds (the znver3 case, the parameters used and tested, w10-11, clang 17-19, ninja, PGO, BOLT), check the Community Builds Thread for v2.2.1-A

A PGO optimized binary for znver4 is below.
For a fast info on my R9 7900 it gives ~5% speed gains in presets that are not too low like p-1 (didn't test p0 nor p1; p2 and 4 are ~5% faster); if it crashes on u, pls comment below about it and use the non-pgo optimized binary

Everyone is especially invited to contribuite about PGO and BOLT on Windows!! (several threads and comments exist on the Community Builds Thread for v2.2.1-A linked above)

[ItachiUchiha-IU]

I have made this from my smartphone while using my pc on remote, so if I made something wrong and anything doesn't work pls comment below.
More infos in the comment above.

Znver4 optimized with PGO with Stefan Edberg clip

cmake --fresh -B svt_build -T ClangCL -DBUILD_SHARED_LIBS=OFF -DSVT_AV1_LTO=OFF -DENABLE_AVX512=ON -DCMAKE_CXX_FLAGS_RELEASE="/DNDEBUG /clang:-O2 -flto -march=znver4" -DCMAKE_C_FLAGS_RELEASE="/DNDEBUG /clang:-O2 -flto -march=znver4"

SvtAv1EncApp znver4 with PGO.zip

On my R9 7900 it gives ~5% speed gains in presets that are not too low like p-1 (didn't test p0 nor p1; p2 and 4 are ~5% faster); if it crashes on u, pls comment below about it and use the non-pgo optimized binary

[gitoss]

For Intel cpu, using their 2025.0 compiler could be beneficial: https://www.intel.com/content/www/us/en/developer/articles/release-notes/intel-oneapi-dpc-c-compiler-release-notes.html

"Hardware Profile Guided Optimization (HWPGO): Key improvements include enhanced profile propagation for better accuracy, additional profile-driven optimizations to further boost performance, and early support for "pseudo probes" on Windows as an alternative to DWARF for profiling. Additionally, HWPGO has introduced selective function outlining, allowing for specific functions to be optimized based on profiling data, further enhancing runtime efficiency.​"

[Uranite]

Full LTO build for Termux
Contains arm and aarch64
Pick one according to your arch, and install via dpkg -i, afterwards, you can encode via libsvtav1 in FFmpeg

termux-svt-av1-psy-v2.3.0.zip