one fur

Intel Core Ultra 7 155H testing with a MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS) and Intel Arc MTL 8GB 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-NE-ONEFUR63333
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March 01
  55 Minutes
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one furOpenBenchmarking.orgPhoronix Test SuiteIntel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads)MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS)Intel Device 7e7f8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-0261024GB Micron_2550_MTFDKBA1T0TGEIntel Arc MTL 8GB (2250MHz)Intel Meteor Lake-P HD AudioIntel Device 7e40Ubuntu 23.106.8.0-060800rc1daily20240126-generic (x86_64)GNOME Shell 45.2X Server 1.21.1.7 + Wayland4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa)GCC 13.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionOne Fur 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: balance_performance) - CPU Microcode: 0x13 - 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: Not affected + srbds: Not affected + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+9.2%+9.2%+18.4%+18.4%+27.6%+27.6%+36.8%+36.8%17.9%6.6%C.B.S.A - CPU36.8%1920 x 1080 - FurMark OpenGL - 836.5%1920 x 1080 - FurMark OpenGL - 1IP Shapes 1D - CPU15.1%D.B.s - CPU9.9%PNG - 807%1920 x 1200 - F.K.O - OffAll5.9%D.B.s - CPU4.3%PNG - 903.4%13.4%JPEG - 902.9%PNG - 1002.5%JPEG - 1002.2%oneDNNFurMarkFurMarkoneDNNoneDNNJPEG-XL libjxlFurMarkJPEG-XL Decoding libjxloneDNNJPEG-XL libjxlJPEG-XL Decoding libjxlJPEG-XL libjxlJPEG-XL libjxlJPEG-XL libjxlab

one furonednn: Convolution Batch Shapes Auto - CPUfurmark: 1920 x 1080 - FurMark OpenGL - 8furmark: 1920 x 1080 - FurMark OpenGL - 1onednn: IP Shapes 1D - CPUonednn: Deconvolution Batch shapes_1d - CPUjpegxl: PNG - 80furmark: 1920 x 1200 - FurMark Knot OpenGL - Offjpegxl-decode: Allonednn: Deconvolution Batch shapes_3d - CPUjpegxl: PNG - 90jpegxl-decode: 1jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100furmark: 1920 x 1080 - FurMark Knot OpenGL - 1furmark: 1920 x 1080 - FurMark Vulkan - Offjpegxl: JPEG - 80furmark: 1920 x 1200 - FurMark Vulkan - Offencode-wavpack: WAV To WavPackfurmark: 1920 x 1200 - FurMark OpenGL - Offfurmark: 1920 x 1200 - FurMark OpenGL - 8furmark: 1920 x 1200 - Furmark Knot Vulkan - 8furmark: 1920 x 1080 - FurMark OpenGL - 2furmark: 1920 x 1080 - FurMark Vulkan - 8furmark: 1920 x 1080 - Furmark Knot Vulkan - 8furmark: 1920 x 1200 - Furmark Knot Vulkan - 1furmark: 1920 x 1200 - FurMark Vulkan - 2furmark: 1920 x 1200 - FurMark Knot OpenGL - 4furmark: 1920 x 1080 - FurMark Vulkan - 2furmark: 1920 x 1200 - Furmark Knot Vulkan - Offfurmark: 1920 x 1080 - FurMark Vulkan - 4furmark: 1920 x 1080 - FurMark OpenGL - 4furmark: 1920 x 1080 - FurMark Knot OpenGL - 4furmark: 1920 x 1080 - Furmark Knot Vulkan - 4furmark: 1920 x 1200 - FurMark OpenGL - 1furmark: 1920 x 1080 - FurMark Knot OpenGL - 8furmark: 1920 x 1200 - FurMark Knot OpenGL - 1furmark: 1920 x 1200 - FurMark Vulkan - 1onednn: Recurrent Neural Network Training - CPUfurmark: 1920 x 1200 - FurMark OpenGL - 2furmark: 1920 x 1080 - FurMark Knot OpenGL - Offfurmark: 1920 x 1200 - FurMark Knot OpenGL - 2furmark: 1920 x 1200 - FurMark OpenGL - 4furmark: 1920 x 1200 - FurMark Vulkan - 4furmark: 1920 x 1080 - Furmark Knot Vulkan - 1furmark: 1920 x 1080 - FurMark Knot OpenGL - 2furmark: 1920 x 1080 - FurMark Vulkan - 1furmark: 1920 x 1200 - Furmark Knot Vulkan - 4furmark: 1920 x 1200 - FurMark Vulkan - 8furmark: 1920 x 1080 - FurMark OpenGL - Offfurmark: 1920 x 1200 - Furmark Knot Vulkan - 2onednn: IP Shapes 3D - CPUfurmark: 1920 x 1080 - Furmark Knot Vulkan - Offfurmark: 1920 x 1200 - FurMark Knot OpenGL - 8onednn: Recurrent Neural Network Inference - CPUfurmark: 1920 x 1080 - Furmark Knot Vulkan - 2ab6.9423211.85014537.0828933.795212.241524.75315.078458269.2859.5785623.2569.27723.36711.98511.81517.43534537.51069624.28833.3862346.12639.1525889.8124073.09036431.2401774.3974323.63938820.54843516.40713310.55968718.77338420.51231410.3973421.31560111.8745658.54606439.5037277.78909216.04400634.0664415775.8927.50916717.47975513.76817318.4103748.93203222.41541915.188437.5504157.4646243.72957343.43546313.1057127.3574322.419096.6570132946.7614.7246669.497058.68333343.7354934.3698613.457823.13316.069729254.1699.9913122.47867.01822.70811.69211.55617.1157736.84595523.92732.8913966.21538.7057239.7095513.06399530.9918614.4317773.6112120.40662216.29639210.48929518.68205820.42191510.35271221.24587411.9123988.57299539.3811237.81326415.99735533.9684875760.9927.43946617.43952213.79861518.3724528.91466722.37371815.16196537.4924097.4545383.7255243.39600813.1156237.3525922.4334076.6548482945.9614.72811OpenBenchmarking.org

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: Convolution Batch Shapes Auto - Engine: CPUab36912156.942329.49705MIN: 6.73MIN: 6.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: 8ab369121511.8501458.683333MAX: 13MAX: 11

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 1ab102030405037.0843.74MIN: 36.72 / MAX: 38MIN: 42.36 / MAX: 45

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: CPUab0.98321.96642.94963.93284.9163.795204.36986MIN: 3.64MIN: 3.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_1d - Engine: CPUab369121512.2413.46MIN: 8.82MIN: 8.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: 80ab61218243024.7523.131. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

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 1200 - Demo: FurMark Knot OpenGL - MSAA: Offab4812162015.0816.07MIN: 15 / MAX: 17MIN: 16 / MAX: 18

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: Allab60120180240300269.29254.17

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: Deconvolution Batch shapes_3d - Engine: CPUab36912159.578569.99131MIN: 9.36MIN: 9.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: 90ab61218243023.2522.481. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

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: 1ab153045607569.2867.02

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: JPEG - Quality: 90ab61218243023.3722.711. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 100ab369121511.9911.691. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 100ab369121511.8211.561. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

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 Knot OpenGL - MSAA: 1ab4812162017.4417.12MAX: 19MIN: 17 / MAX: 19

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: Offab91827364537.5136.85MIN: 35 / MAX: 41MIN: 34 / MAX: 41

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: JPEG - Quality: 80ab61218243024.2923.931. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

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 1200 - Demo: FurMark Vulkan - MSAA: Offab81624324033.3932.89MIN: 30 / MAX: 38MIN: 32 / MAX: 38

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 WavPackab2468106.1266.215

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 1200 - Demo: FurMark OpenGL - MSAA: Offab91827364539.1538.71MIN: 38 / MAX: 41MIN: 38 / MAX: 40

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark OpenGL - MSAA: 8ab36912159.8124079.709551MAX: 12MAX: 12

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: Furmark Knot Vulkan - MSAA: 8ab0.69531.39062.08592.78123.47653.0903643.063995MIN: 1 / MAX: 8MIN: 2 / MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 2ab71421283531.2430.99MIN: 30.94 / MAX: 32MAX: 32

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 8ab0.99711.99422.99133.98844.98554.3974324.431777MIN: 2 / MAX: 8MIN: 2 / MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 8ab0.81891.63782.45673.27564.09453.6393883.611210MIN: 1 / MAX: 8MIN: 1 / MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: Furmark Knot Vulkan - MSAA: 1ab51015202520.5520.41MIN: 18 / MAX: 24MIN: 17 / MAX: 24

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Vulkan - MSAA: 2ab4812162016.4116.30MIN: 15 / MAX: 20MIN: 14 / MAX: 20

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Knot OpenGL - MSAA: 4ab369121510.5610.49MAX: 12MAX: 12

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 2ab51015202518.7718.68MIN: 17 / MAX: 22MAX: 22

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: Furmark Knot Vulkan - MSAA: Offab51015202520.5120.42MIN: 17 / MAX: 25MIN: 18 / MAX: 25

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 4ab369121510.4010.35MIN: 9 / MAX: 14MIN: 9 / MAX: 14

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 4ab51015202521.3221.25MIN: 21 / MAX: 22MIN: 21 / MAX: 22

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 4ab369121511.8711.91MAX: 13MAX: 14

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 4ab2468108.5460648.572995MIN: 6 / MAX: 12MIN: 6 / MAX: 12

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark OpenGL - MSAA: 1ab91827364539.5039.38MIN: 39 / MAX: 41MIN: 38.93 / MAX: 41

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 8ab2468107.7890927.813264MAX: 10MAX: 10

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Knot OpenGL - MSAA: 1ab4812162016.0416.00MIN: 16 / MAX: 18MAX: 17

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Vulkan - MSAA: 1ab81624324034.0733.97MIN: 31 / MAX: 38MIN: 32 / MAX: 38

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: Recurrent Neural Network Training - Engine: CPUab120024003600480060005775.895760.99MIN: 5709.7MIN: 5708.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 1200 - Demo: FurMark OpenGL - MSAA: 2ab61218243027.5127.44MIN: 27 / MAX: 29MIN: 27 / MAX: 29

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: Offab4812162017.4817.44MAX: 19MAX: 19

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Knot OpenGL - MSAA: 2ab4812162013.7713.80MAX: 15MAX: 15

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark OpenGL - MSAA: 4ab51015202518.4118.37MIN: 18 / MAX: 20MIN: 18 / MAX: 19

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Vulkan - MSAA: 4ab2468108.9320328.914667MIN: 7 / MAX: 12MIN: 6 / MAX: 12

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 1ab51015202522.4222.37MIN: 21 / MAX: 26MIN: 21 / MAX: 26

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 2ab4812162015.1915.16MIN: 15 / MAX: 17MIN: 15 / MAX: 16

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 1ab91827364537.5537.49MIN: 34 / MAX: 41MIN: 35 / MAX: 41

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: Furmark Knot Vulkan - MSAA: 4ab2468107.4646247.454538MIN: 5 / MAX: 11MIN: 5 / MAX: 11

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Vulkan - MSAA: 8ab0.83921.67842.51763.35684.1963.7295733.725520MIN: 1 / MAX: 8MIN: 1 / MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: Offab102030405043.4443.40MIN: 42.9 / MAX: 45MIN: 42.48 / MAX: 45

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: Furmark Knot Vulkan - MSAA: 2ab369121513.1113.12MIN: 11 / MAX: 18MIN: 11 / MAX: 18

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 3D - Engine: CPUab2468107.357437.35259MIN: 7.13MIN: 7.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 Knot Vulkan - MSAA: Offab51015202522.4222.43MIN: 21 / MAX: 26MIN: 22 / MAX: 26

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Knot OpenGL - MSAA: 8ab2468106.6570136.654848MAX: 9MAX: 9

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: Recurrent Neural Network Inference - Engine: CPUab60012001800240030002946.762945.96MIN: 2921.35MIN: 2923.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 Knot Vulkan - MSAA: 2ab4812162014.7214.73MAX: 19MAX: 19

56 Results Shown

oneDNN
FurMark:
  1920 x 1080 - FurMark OpenGL - 8
  1920 x 1080 - FurMark OpenGL - 1
oneDNN:
  IP Shapes 1D - CPU
  Deconvolution Batch shapes_1d - CPU
JPEG-XL libjxl
FurMark
JPEG-XL Decoding libjxl
oneDNN
JPEG-XL libjxl
JPEG-XL Decoding libjxl
JPEG-XL libjxl:
  JPEG - 90
  PNG - 100
  JPEG - 100
FurMark:
  1920 x 1080 - FurMark Knot OpenGL - 1
  1920 x 1080 - FurMark Vulkan - Off
JPEG-XL libjxl
FurMark
WavPack Audio Encoding
FurMark:
  1920 x 1200 - FurMark OpenGL - Off
  1920 x 1200 - FurMark OpenGL - 8
  1920 x 1200 - Furmark Knot Vulkan - 8
  1920 x 1080 - FurMark OpenGL - 2
  1920 x 1080 - FurMark Vulkan - 8
  1920 x 1080 - Furmark Knot Vulkan - 8
  1920 x 1200 - Furmark Knot Vulkan - 1
  1920 x 1200 - FurMark Vulkan - 2
  1920 x 1200 - FurMark Knot OpenGL - 4
  1920 x 1080 - FurMark Vulkan - 2
  1920 x 1200 - Furmark Knot Vulkan - Off
  1920 x 1080 - FurMark Vulkan - 4
  1920 x 1080 - FurMark OpenGL - 4
  1920 x 1080 - FurMark Knot OpenGL - 4
  1920 x 1080 - Furmark Knot Vulkan - 4
  1920 x 1200 - FurMark OpenGL - 1
  1920 x 1080 - FurMark Knot OpenGL - 8
  1920 x 1200 - FurMark Knot OpenGL - 1
  1920 x 1200 - FurMark Vulkan - 1
oneDNN
FurMark:
  1920 x 1200 - FurMark OpenGL - 2
  1920 x 1080 - FurMark Knot OpenGL - Off
  1920 x 1200 - FurMark Knot OpenGL - 2
  1920 x 1200 - FurMark OpenGL - 4
  1920 x 1200 - FurMark Vulkan - 4
  1920 x 1080 - Furmark Knot Vulkan - 1
  1920 x 1080 - FurMark Knot OpenGL - 2
  1920 x 1080 - FurMark Vulkan - 1
  1920 x 1200 - Furmark Knot Vulkan - 4
  1920 x 1200 - FurMark Vulkan - 8
  1920 x 1080 - FurMark OpenGL - Off
  1920 x 1200 - Furmark Knot Vulkan - 2
oneDNN
FurMark:
  1920 x 1080 - Furmark Knot Vulkan - Off
  1920 x 1200 - FurMark Knot OpenGL - 8
oneDNN
FurMark