20231204-gpu-compute-rx6800xt

AMD Ryzen 9 5950X 16-Core testing with a Gigabyte X570 AORUS ELITE (F32 BIOS) and AMD Radeon Pro W7900 45GB on Gentoo 2.14 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 2312058-NE-2312049NE18
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AMD Radeon RX 6800 XT
December 05 2023
  2 Hours, 14 Minutes
AMD Radeon Pro W7900
December 06 2023
  2 Hours, 3 Minutes
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  2 Hours, 8 Minutes
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20231204-gpu-compute-rx6800xtProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionAMD Radeon RX 6800 XTAMD Radeon Pro W7900AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)Gigabyte X570 AORUS ELITE (F32 BIOS)AMD Starship/Matisse64GB8002GB Corsair MP600 PRO NH + 4001GB Corsair Force MP510 + 5 x 22001GB Western Digital WUH722222AL + 20001GB 2135 + 18000GB 2135 + 14001GB 2135AMD Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Navi 21/23AW3423DWFIntel I211 + Intel Wi-Fi 6 AX210/AX211/AX411Gentoo 2.146.6.0-pf2 (x86_64)X Server 1.21.1.84.6 Mesa 23.1.6 (LLVM 16.0.6 DRM 3.54)GCC 12.3.1 20230825 + Clang 17.0.3 + LLVM 17.0.3btrfs3440x1440AMD Radeon Pro W7900 45GB (1760/1124MHz)AMD Navi 31 HDMI/DP4.6 Mesa 23.3.0 (LLVM 17.0.3 DRM 3.54)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: alwaysEnvironment Details- __GLVND_DISALLOW_PATCHING=1Compiler Details- --bindir=/usr/x86_64-pc-linux-gnu/gcc-bin/12 --build=x86_64-pc-linux-gnu --datadir=/usr/share/gcc-data/x86_64-pc-linux-gnu/12 --disable-cet --disable-dependency-tracking --disable-fixed-point --disable-isl-version-check --disable-libada --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-silent-rules --disable-werror --enable-__cxa_atexit --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-languages=c,c++,d,go,objc,obj-c++,fortran --enable-libgomp --enable-libstdcxx-time --enable-lto --enable-multilib --enable-nls --enable-obsolete --enable-secureplt --enable-shared --enable-systemtap --enable-targets=all --enable-threads=posix --enable-valgrind-annotations --enable-vtable-verify --host=x86_64-pc-linux-gnu --includedir=/usr/lib/gcc/x86_64-pc-linux-gnu/12/include --mandir=/usr/share/gcc-data/x86_64-pc-linux-gnu/12/man --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-isl --with-multilib-list=m32,m64 --with-python-dir=/share/gcc-data/x86_64-pc-linux-gnu/12/python --with-zstd Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x0Graphics Details- AMD Radeon RX 6800 XT: BAR1 / Visible vRAM Size: 16368 MB - vBIOS Version: 113-001-X01- AMD Radeon Pro W7900: BAR1 / Visible vRAM Size: 46064 MB - vBIOS Version: 113-D7070100-101Security Details- 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: Mitigation of safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD Radeon RX 6800 XT vs. AMD Radeon Pro W7900 ComparisonPhoronix Test SuiteBaseline+17.3%+17.3%+34.6%+34.6%+51.9%+51.9%69.2%44.3%38.7%27.7%27.7%23%18.2%18%17.3%13.9%2%int32-scalarint32-vec42x - Singlefp64-vec427.8%fp16-vec4int16-vec4fp64-scalar27.2%4x - Yesfp16-scalarint16-scalarfp32-scalar2x - 3 - Yesfp32-vec4vkpeakvkpeakVkResamplevkpeakvkpeakvkpeakvkpeakRealSR-NCNNvkpeakvkpeakvkpeakWaifu2x-NCNN VulkanvkpeakAMD Radeon RX 6800 XTAMD Radeon Pro W7900

20231204-gpu-compute-rx6800xtvkpeak: int16-vec4vkpeak: int16-scalarvkpeak: int32-vec4vkpeak: int32-scalarvkpeak: fp64-vec4vkpeak: fp64-scalarvkpeak: fp16-vec4vkpeak: fp16-scalarvkpeak: fp32-vec4vkpeak: fp32-scalarrealsr-ncnn: 4x - Yesvkresample: 2x - Singlerealsr-ncnn: 4x - Nowaifu2x-ncnn: 2x - 3 - YesAMD Radeon RX 6800 XTAMD Radeon Pro W790036419.0620798.324360.433729.591373.161371.2937138.4420999.6921347.7021296.4824.7338.5274.9443.09646508.6924540.106290.856309.101074.201078.2847435.6324811.7521772.2824979.7920.1066.1484.9322.719OpenBenchmarking.org

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-vec4AMD Radeon Pro W7900AMD Radeon RX 6800 XT10K20K30K40K50KSE +/- 47.24, N = 3SE +/- 98.41, N = 346508.6936419.06

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-scalarAMD Radeon Pro W7900AMD Radeon RX 6800 XT5K10K15K20K25KSE +/- 65.43, N = 3SE +/- 76.25, N = 324540.1020798.32

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-vec4AMD Radeon Pro W7900AMD Radeon RX 6800 XT13002600390052006500SE +/- 26.55, N = 3SE +/- 3.03, N = 36290.854360.43

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-scalarAMD Radeon Pro W7900AMD Radeon RX 6800 XT14002800420056007000SE +/- 22.99, N = 3SE +/- 2.49, N = 36309.103729.59

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-vec4AMD Radeon Pro W7900AMD Radeon RX 6800 XT30060090012001500SE +/- 0.49, N = 3SE +/- 1.62, N = 31074.201373.16

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-scalarAMD Radeon Pro W7900AMD Radeon RX 6800 XT30060090012001500SE +/- 0.70, N = 3SE +/- 0.45, N = 31078.281371.29

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-vec4AMD Radeon Pro W7900AMD Radeon RX 6800 XT10K20K30K40K50KSE +/- 138.16, N = 3SE +/- 165.96, N = 347435.6337138.44

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-scalarAMD Radeon Pro W7900AMD Radeon RX 6800 XT5K10K15K20K25KSE +/- 161.94, N = 3SE +/- 105.39, N = 324811.7520999.69

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-vec4AMD Radeon Pro W7900AMD Radeon RX 6800 XT5K10K15K20K25KSE +/- 123.09, N = 3SE +/- 101.68, N = 321772.2821347.70

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-scalarAMD Radeon Pro W7900AMD Radeon RX 6800 XT5K10K15K20K25KSE +/- 225.41, N = 3SE +/- 126.56, N = 324979.7921296.48

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesAMD Radeon Pro W7900AMD Radeon RX 6800 XT612182430SE +/- 0.16, N = 3SE +/- 0.03, N = 320.1124.73

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleAMD Radeon Pro W7900AMD Radeon RX 6800 XT246810SE +/- 0.007, N = 3SE +/- 0.001, N = 36.1488.5271. (CXX) g++ options: -O3

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoAMD Radeon Pro W7900AMD Radeon RX 6800 XT1.11242.22483.33724.44965.562SE +/- 0.050, N = 3SE +/- 0.030, N = 34.9324.944

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesAMD Radeon Pro W7900AMD Radeon RX 6800 XT0.69661.39322.08982.78643.483SE +/- 0.034, N = 4SE +/- 0.009, N = 32.7193.096