dgg

Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and ASUS Intel RPL-S 31GB on Ubuntu 23.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403011-PTS-DGG1465439
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dggOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (1402 BIOS)Intel Device 7a272 x 16GB DRAM-6000MT/s Corsair CMK32GX5M2B6000C36Western Digital WD_BLACK SN850X 1000GBASUS Intel RPL-S 31GB (1650MHz)Realtek ALC897ASUS VP28UUbuntu 23.106.7.0-060700rc7daily20231224-generic (x86_64)GNOME Shell 45.1X Server 1.21.1.74.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa)OpenCL 3.0GCC 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionDgg BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x11d - Thermald 2.5.4- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%102%105%107%WavPack Audio EncodingJPEG-XL Decoding libjxlJPEG-XL libjxloneDNNFurMark

dggfurmark: 1920 x 1080 - FurMark OpenGL - 1furmark: 1920 x 1080 - FurMark OpenGL - 2furmark: 1920 x 1080 - FurMark OpenGL - 4furmark: 1920 x 1080 - FurMark OpenGL - 8furmark: 1920 x 1080 - FurMark Vulkan - 1furmark: 1920 x 1080 - FurMark Vulkan - 2furmark: 1920 x 1080 - FurMark Vulkan - 4furmark: 1920 x 1080 - FurMark Vulkan - 8furmark: 1920 x 1080 - FurMark OpenGL - Offfurmark: 1920 x 1080 - FurMark Vulkan - Offfurmark: 1920 x 1080 - FurMark Knot OpenGL - 1furmark: 1920 x 1080 - FurMark Knot OpenGL - 2furmark: 1920 x 1080 - FurMark Knot OpenGL - 4furmark: 1920 x 1080 - FurMark Knot OpenGL - 8furmark: 1920 x 1080 - Furmark Knot Vulkan - 1furmark: 1920 x 1080 - Furmark Knot Vulkan - 2furmark: 1920 x 1080 - Furmark Knot Vulkan - 4furmark: 1920 x 1080 - Furmark Knot Vulkan - 8furmark: 1920 x 1080 - FurMark Knot OpenGL - Offfurmark: 1920 x 1080 - Furmark Knot Vulkan - Offjpegxl-decode: 1jpegxl-decode: Alljpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100onednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_1d - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: Recurrent Neural Network Training - CPUonednn: Recurrent Neural Network Inference - CPUencode-wavpack: WAV To WavPackabc14.01648713.97130713.9706499.64399110.7543308.8333815.1724272.05450814.00791210.7582094.9937344.9663394.5946843.8713798.1470376.4348153.5818221.6048054.9938698.152374101.378643.84354.16250.09954.53450.60528.59828.0091.917996.011105.860356.954093.628432005.651030.804.41814.00777913.98002713.9729199.64799810.7460588.8902695.2356162.07818114.01578410.7632434.9919884.967154.5965023.8733128.1531676.414223.5925731.6089624.9920368.148808100.119636.20954.64350.1153.04750.09228.69127.9751.867756.007785.812067.280393.521171968.261030.64.03914.01643213.96996713.9626319.64957610.7585838.8737655.2207672.03208414.02009410.7641744.9928054.9708434.5971553.872948.1524066.4121213.5949261.6034584.9949328.107281101.719648.02654.55550.33954.96551.98528.47728.2321.876866.006265.804557.159043.517181964.571010.464.317OpenBenchmarking.org

FurMark

FurMark 2 is a cross-platform GPU stress test that can exercise both OpenGL and Vulkan drivers/GPUs. FurMark 2 is the successor to the original FurMark benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 1acb48121620SE +/- 0.00, N = 314.0214.0214.01MIN: 14 / MAX: 16MIN: 14 / MAX: 16MIN: 14 / MAX: 16

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 2bac48121620SE +/- 0.00, N = 313.9813.9713.97MAX: 16MAX: 16MAX: 16

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 4bac48121620SE +/- 0.00, N = 313.9713.9713.96MAX: 16MAX: 16MAX: 16

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 8cba3691215SE +/- 0.003976, N = 39.6495769.6479989.643991MAX: 11MAX: 11MAX: 11

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 1cab3691215SE +/- 0.00, N = 310.7610.7510.75MIN: 8 / MAX: 16MIN: 8 / MAX: 16MIN: 8 / MAX: 15

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 2bca246810SE +/- 0.031572, N = 38.8902698.8737658.833381MIN: 6 / MAX: 14MIN: 6 / MAX: 14MIN: 6 / MAX: 14

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 4bca1.1782.3563.5344.7125.89SE +/- 0.061292, N = 45.2356165.2207675.172427MIN: 3 / MAX: 9MIN: 3 / MAX: 9MIN: 3 / MAX: 9

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 8bac0.46760.93521.40281.87042.338SE +/- 0.018849, N = 32.0781812.0545082.032084MIN: 2 / MAX: 7MIN: 1 / MAX: 7MIN: 1 / MAX: 7

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: Offcba48121620SE +/- 0.01, N = 314.0214.0214.01MIN: 14 / MAX: 16MIN: 14 / MAX: 16MIN: 14 / MAX: 16

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: Offcba3691215SE +/- 0.00, N = 310.7610.7610.76MIN: 8 / MAX: 16MIN: 8 / MAX: 16MIN: 8 / MAX: 16

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 1acb1.12362.24723.37084.49445.618SE +/- 0.000553, N = 34.9937344.9928054.991988MAX: 7MAX: 7MAX: 7

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 2cba1.11842.23683.35524.47365.592SE +/- 0.001825, N = 34.9708434.9671504.966339MAX: 7MAX: 7MAX: 7

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 4cba1.03442.06883.10324.13765.172SE +/- 0.000286, N = 34.5971554.5965024.594684MAX: 7MAX: 7MAX: 7

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 8bca0.87151.7432.61453.4864.3575SE +/- 0.000514, N = 33.8733123.8729403.871379MAX: 6MAX: 6MAX: 6

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 1bca246810SE +/- 0.003868, N = 38.1531678.1524068.147037MIN: 5 / MAX: 12MIN: 5 / MAX: 12MIN: 5 / MAX: 12

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 2abc246810SE +/- 0.010789, N = 36.4348156.4142206.412121MIN: 4 / MAX: 12MIN: 4 / MAX: 12MIN: 4 / MAX: 12

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 4cba0.80891.61782.42673.23564.0445SE +/- 0.048385, N = 33.5949263.5925733.581822MIN: 1 / MAX: 9MIN: 1 / MAX: 9MIN: 1 / MAX: 9

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 8bac0.3620.7241.0861.4481.81SE +/- 0.002577, N = 31.6089621.6048051.603458MIN: 1 / MAX: 7MIN: 1 / MAX: 7MIN: 1 / MAX: 7

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: Offcab1.12392.24783.37174.49565.6195SE +/- 0.000880, N = 34.9949324.9938694.992036MAX: 7MAX: 7MAX: 7

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: Offabc246810SE +/- 0.000822, N = 38.1523748.1488088.107281MIN: 5 / MAX: 12MIN: 5 / MAX: 12MIN: 5 / MAX: 12

JPEG-XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL Decoding libjxl 0.10.1CPU Threads: 1cab20406080100SE +/- 0.55, N = 3101.72101.38100.12

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL Decoding libjxl 0.10.1CPU Threads: Allcab140280420560700SE +/- 2.27, N = 3648.03643.84636.21

JPEG-XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 80bca1224364860SE +/- 0.58, N = 454.6454.5654.161. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 90cba1122334455SE +/- 0.14, N = 350.3450.1150.101. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 80cab1224364860SE +/- 0.47, N = 354.9754.5353.051. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 90cab1224364860SE +/- 0.27, N = 351.9950.6150.091. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 100bac714212835SE +/- 0.24, N = 328.6928.6028.481. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 100cab714212835SE +/- 0.22, N = 328.2328.0127.981. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 1D - Engine: CPUbca0.43150.8631.29451.7262.1575SE +/- 0.02312, N = 31.867751.876861.91799MIN: 1.67MIN: 1.67MIN: 1.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 3D - Engine: CPUcba246810SE +/- 0.00264, N = 36.006266.007786.01110MIN: 5.95MIN: 5.97MIN: 5.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Convolution Batch Shapes Auto - Engine: CPUcba1.31862.63723.95585.27446.593SE +/- 0.04331, N = 35.804555.812065.86035MIN: 5.75MIN: 5.76MIN: 5.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_1d - Engine: CPUacb246810SE +/- 0.07818, N = 156.954097.159047.28039MIN: 2.88MIN: 2.99MIN: 2.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUcba0.81641.63282.44923.26564.082SE +/- 0.04316, N = 153.517183.521173.62843MIN: 3.5MIN: 3.5MIN: 3.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Training - Engine: CPUcba400800120016002000SE +/- 7.68, N = 31964.571968.262005.65MIN: 1872.27MIN: 1872.17MIN: 1870.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Inference - Engine: CPUcba2004006008001000SE +/- 4.98, N = 31010.461030.601030.80MIN: 964.28MIN: 965.99MIN: 959.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.7WAV To WavPackbca0.99411.98822.98233.97644.9705SE +/- 0.029, N = 254.0394.3174.418