vulkan 6800XT

Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0812 BIOS) and AMD Radeon RX 6800 XT 16GB on Ubuntu 22.04 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 2308019-NE-VULKAN68087
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a
August 01 2023
  4 Hours, 30 Minutes
b
August 01 2023
  3 Hours, 59 Minutes
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  4 Hours, 14 Minutes
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vulkan 6800XTOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0812 BIOS)Intel Device 7a2732GB1000GB Western Digital WDS100T1X0E-00AFY0 + 2 x 64GB Flash DriveAMD Radeon RX 6800 XT 16GB (2575/1000MHz)Realtek ALC897ASUS VP28UUbuntu 22.045.19.0-50-generic (x86_64)GNOME Shell 42.9X Server + Wayland4.6 Mesa 22.2.5-0ubuntu0.1~22.04.3 (LLVM 15.0.7 DRM 3.47)1.3.224GCC 11.4.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionVulkan 6800XT 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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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: 0x10e - Thermald 2.4.9 - BAR1 / Visible vRAM Size: 16368 MB - vBIOS Version: 113-D4120500-101- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+27.8%+27.8%+55.6%+55.6%+83.4%+83.4%111%31.2%17.2%12.9%6.4%6.3%3.9%3.3%3.3%3.2%2.7%CPU - vgg16CPU - blazeface40%CPU - shufflenet-v233.9%CPU-v3-v3 - mobilenet-v331.3%CPU - vision_transformerCPU - regnety_400m30.9%CPU - mnasnet25.3%CPU - efficientnet-b021.1%CPU - squeezenet_ssdCPU - googlenet15.2%CPU - FastestDet13.4%Vulkan GPU - FastestDetCPU - mobilenetCPU-v2-v2 - mobilenet-v2fp32-vec4F.i.C.m.i.s.p3.5%F.i.C.B.i.s.p3.3%CPU - resnet50fp16-scalarF.i.R.C3.2%int16-scalarint16-vec4NCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNvkpeakVkFFTVkFFTNCNNvkpeakVkFFTvkpeakvkpeakab

vulkan 6800XTncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - FastestDetncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetvkpeak: int16-vec4vkpeak: int16-scalarvkpeak: int32-vec4vkpeak: int32-scalarvkpeak: fp64-vec4vkpeak: fp64-scalarvkpeak: fp16-vec4vkpeak: fp16-scalarvkpeak: fp32-vec4vkpeak: fp32-scalarvkfft: FFT + iFFT C2C 1D batched in double precisionvkfft: FFT + iFFT C2C 1D batched in single precisionvkfft: FFT + iFFT C2C Bluestein benchmark in double precisionvkfft: FFT + iFFT C2C 1D batched in single precision, no reshufflingvkfft: FFT + iFFT C2C Bluestein in single precisionvkfft: FFT + iFFT C2C 1D batched in half precisionvkfft: FFT + iFFT C2C multidimensional in single precisionvkfft: FFT + iFFT R2C / C2Rvkresample: 2x - Singleab1249.176.865.2811.198.253.944.1619.056.310.873.692.021.831.812.247.222.452.171336.945.45.6510.848.473.844.140.265.510.653.371.91.771.792.027.5133053.1421383.734477.623834.891411.861413.633775.4921527.0521484.2122073.2628285652986949691161481112722945096593168.4921158.575.365.2811.48.494.073.7220.025.170.63.291.681.711.641.98.042.172.461018.847.074.8210.78.23.874.1619.086.350.914.082.382.372.351.97.0633941.9322064.234497.583850.031414.331416.2434040.4822233.8222328.1321822.4728242653376926691371433412804443591574748.491OpenBenchmarking.org

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerab300600900120015001249.171158.57MIN: 54.34 / MAX: 2059.42MIN: 48.54 / MAX: 2061.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mab2468106.865.36MIN: 6.8 / MAX: 8.51MIN: 5.25 / MAX: 7.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdab1.262.523.785.046.35.285.28MIN: 5.23 / MAX: 6.43MIN: 5.22 / MAX: 7.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyab4812162011.1911.40MIN: 11.07 / MAX: 13.69MIN: 11.3 / MAX: 12.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50ab2468108.258.27MIN: 8.17 / MAX: 9.9MIN: 8.18 / MAX: 101. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetab0.91581.83162.74743.66324.5793.943.94MIN: 3.89 / MAX: 5.17MIN: 3.9 / MAX: 5.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18ab0.94051.8812.82153.7624.70254.163.72MIN: 4.13 / MAX: 5.43MIN: 3.66 / MAX: 4.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16ab51015202519.0518.98MIN: 18.83 / MAX: 21.09MIN: 18.83 / MAX: 20.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetab2468106.315.17MIN: 6.26 / MAX: 7.77MIN: 5.11 / MAX: 7.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceab0.19580.39160.58740.78320.9790.870.60MIN: 0.86 / MAX: 1.84MIN: 0.59 / MAX: 1.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0ab0.83031.66062.49093.32124.15153.693.29MIN: 3.65 / MAX: 4.84MIN: 3.25 / MAX: 4.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetab0.45450.9091.36351.8182.27252.021.68MIN: 1.99 / MAX: 3.48MIN: 1.66 / MAX: 2.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2ab0.41180.82361.23541.64722.0591.831.71MIN: 1.79 / MAX: 2.3MIN: 1.68 / MAX: 3.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3ab0.40730.81461.22191.62922.03651.811.64MIN: 1.78 / MAX: 3.05MIN: 1.61 / MAX: 3.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2ab0.55581.11161.66742.22322.7792.241.90MIN: 2.21 / MAX: 3.4MIN: 1.87 / MAX: 2.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetab2468107.228.04MIN: 7.13 / MAX: 8.63MIN: 7.97 / MAX: 10.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetab0.55131.10261.65392.20522.75652.452.17MIN: 2.42 / MAX: 3.92MIN: 2.14 / MAX: 3.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetab0.55351.1071.66052.2142.76752.172.46MIN: 2.15 / MAX: 2.31MIN: 2.43 / MAX: 3.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerab300600900120015001336.941018.84MIN: 47.96 / MAX: 2057.96MIN: 48.19 / MAX: 2067.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mab2468105.407.07MIN: 5.33 / MAX: 6.69MIN: 6.95 / MAX: 21.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdab1.27132.54263.81395.08526.35655.654.82MIN: 5.57 / MAX: 6.77MIN: 4.75 / MAX: 6.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyab369121510.8410.70MIN: 10.74 / MAX: 12.8MIN: 10.58 / MAX: 12.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50ab2468108.478.20MIN: 8.38 / MAX: 10.41MIN: 8.11 / MAX: 10.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetab0.87081.74162.61243.48324.3543.843.87MIN: 3.8 / MAX: 4.84MIN: 3.83 / MAX: 4.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18ab0.9361.8722.8083.7444.684.104.16MIN: 4.07 / MAX: 4.6MIN: 4.11 / MAX: 5.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16ab91827364540.2619.08MIN: 19.59 / MAX: 674.5MIN: 18.91 / MAX: 21.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetab2468105.516.35MIN: 5.45 / MAX: 7.83MIN: 6.29 / MAX: 8.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceab0.20480.40960.61440.81921.0240.650.91MIN: 0.63 / MAX: 0.75MIN: 0.9 / MAX: 1.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0ab0.9181.8362.7543.6724.593.374.08MIN: 3.33 / MAX: 4.65MIN: 4.04 / MAX: 5.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetab0.53551.0711.60652.1422.67751.902.38MIN: 1.87 / MAX: 2.73MIN: 2.36 / MAX: 2.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2ab0.53331.06661.59992.13322.66651.772.37MIN: 1.74 / MAX: 2.24MIN: 2.34 / MAX: 3.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3ab0.52881.05761.58642.11522.6441.792.35MIN: 1.76 / MAX: 2.33MIN: 2.33 / MAX: 2.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2ab0.45450.9091.36351.8182.27252.021.90MIN: 1.99 / MAX: 3.41MIN: 1.86 / MAX: 3.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetab2468107.517.06MIN: 6.7 / MAX: 66.34MIN: 7 / MAX: 8.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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-vec4ab7K14K21K28K35K33053.1433941.93

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-scalarab5K10K15K20K25K21383.7322064.23

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-vec4ab100020003000400050004477.624497.58

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-scalarab80016002400320040003834.893850.03

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-vec4ab300600900120015001411.861414.33

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-scalarab300600900120015001413.601416.24

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-vec4ab7K14K21K28K35K33775.4934040.48

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-scalarab5K10K15K20K25K21527.0522233.82

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-vec4ab5K10K15K20K25K21484.2122328.13

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-scalarab5K10K15K20K25K22073.2621822.47

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in double precisionab6K12K18K24K30K28285282421. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in single precisionab14K28K42K56K70K65298653371. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C Bluestein benchmark in double precisionab15003000450060007500694969261. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in single precision, no reshufflingab15K30K45K60K75K69116691371. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C Bluestein in single precisionab3K6K9K12K15K14811143341. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in half precisionab30K60K90K120K150K1272291280441. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C multidimensional in single precisionab10K20K30K40K50K45096435911. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT R2C / C2Rab13K26K39K52K65K59316574741. (CXX) g++ options: -O3

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: Singleab2468108.4928.4911. (CXX) g++ options: -O3