7713 2P

Tests for a future article. 2 x AMD EPYC 7303 16-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED 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 2310231-NE-77132P99738
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a
October 03 2023
  50 Minutes
b
October 03 2023
  50 Minutes
c
October 03 2023
  50 Minutes
AMD EPYC 7303 16-Core
October 08 2023
  1 Hour, 37 Minutes
d
October 18 2023
  2 Hours, 29 Minutes
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October 23 2023
  1 Hour, 53 Minutes
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October 23 2023
  1 Hour, 53 Minutes
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October 23 2023
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7713 2PProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionabcAMD EPYC 7303 16-Coredefg2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse256GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.15.0-47-generic (x86_64)GNOME Shell 42.4X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080AMD EPYC 7303 16-Core @ 2.40GHz (16 Cores / 32 Threads)2 x AMD EPYC 7203 8-Core @ 2.80GHz (16 Cores / 32 Threads)512GB1024x7682 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Python Details- Python 3.10.6Security Details- 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected

abcAMD EPYC 7303 16-CoredefgResult OverviewPhoronix Test Suite100%225%350%474%599%Blender7-Zip CompressionTimed Linux Kernel CompilationRemhosOpenVINOlibxsmmOpenRadiossLaghoslibavif avifenc

7713 2Popenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownlibxsmm: 32libxsmm: 64oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyopenvkl: vklBenchmarkCPU Scalaropenvkl: vklBenchmarkCPU ISPClaghos: Triple Point Problemlaghos: Sedov Blast Wave, ube_922_hex.meshcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenradioss: Bumper Beamopenradioss: Chrysler Neon 1Mopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containerremhos: Sample Remap Exampleavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyeasywave: e2Asean Grid + BengkuluSept2007 Source - 240easywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400abcAMD EPYC 7303 16-Coredefg202.6851.123308.289543.231342.68226.155333.242687.19899.1598494.41540.3980.5164.19282.55507611643823157.75623.99.663.3423.81141.3323.9811.89142.220.85115.89174.4926.54147.64130.4132.3711.28475.60341.4243.2486.7865.47423.875182.49116.0840.2820.44153.7849.66203.1451.173302.839544.951340.29226.275334.872655.09897.77101883.13471923.9162.65282.08505036647995157.4623.649.683.3423.85141.2423.9812.03142.420.85116.73173.5926.35146.17134.61129.6111.0275.77840.8373.3316.8815.48523.974179.98616.0840.2120.73152.9449.32203.9651.23303.599527.761340.12222.735335.152694.27898.69101985.21467.3920.8167.28279.20499347678765156.74623.69.673.3523.86143.5523.9711.86142.290.86116.3174.4526.53146.31131.25132.811.70975.83642.413.3096.9295.53523.939179.53916.1940.0420.45152.548.9642.118.66570.581754.67237.7947.46858.21520.89155.523110.2273.2406.9132.65148.49135892116102189.92921.14144.5533.62168.318.6315.34102.820.68118.33551.2465.55202.93102.8357.2737.307120.8560.195.2829.1865.77967.408815.39589.45226.06109.21871.17280.0337.068.35470.461232.95195.543.18856.63369.7171.6123725.5717.478415.743916.125315.870213.844514.3991356.5442.50.560.560.28144267114.18132.46113384106826107.81478.928.493.2420.4492.5318.6510.893.160.662.677234.273385.541361.941734.631851.928112.345651.65094.513330.7684493019.313037.723028.361451.21445.861466.25134.32489.7563.71235.98129.36429.2239.71125.91864.1465.77110.1336.18668.675830.49294.86237.87116.66974.94296.743.29165.733149.20372.7117.21096.253153.9415.3285.511727.34873.34303.846823.7332.969629.619530.102829.980526.069826.5233484.7727.20.950.950.48273495182.23234.135345612210620214511109.89463.577.292.5319.2593.4518.469.13105.220.671.742444.104125.670181.933523.143711.168561.894051.447493.849161.053243494.513379.253216.131114.671161.81137.11105.44304.0341.05192.24118.07302.0323.46392.44748.7243.9657.8015.85543.41462.13850.21116.6862.52505.43155.522.83155.336140.29773.2317.271095.273148.82415.1285.461708.45865.28303.8345126.4533.039229.520630.337830.131426.273726.6112482.9737.30.950.950.48275497181.55233.54212139216258109.16462.787.292.5319.2593.518.679.21105.230.71.698173.839955.664351.95223.061111.165451.770641.923484.189741.143793341.933281.243462.91139.541153.451128.3105.68306.3741.01192.62120.33305.5523.48891.91348.8443.9767.8245.81743.477462.59950.25117.0562.18504.18157.082.67260.049130.44772.1417.281095.683148.97415.1584.861725.37875.64303.5947926.3432.966229.590830.255230.026126.157426.3986470.9723.40.950.950.48274495180.93233.047063651209887218417110.71462.577.292.5319.2594.1718.489.11105.330.661.846524.057685.633191.950243.141051.170232.12072.284693.947331.086613451.093556.443272.361129.541145.621149.15107.04303.5840.85192.49122.81307.2423.72392.52848.7313.9627.8255.81543.318462.69650.09118.3462.31506.55157.592.76656.337133.177OpenBenchmarking.org

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUAMD EPYC 7303 16-Coreabcdefg408012016020042.11202.68203.14203.9637.0672.7173.2372.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg12243648608.6651.1251.1751.208.3517.2017.2717.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg7001400210028003500570.583308.283302.833303.59470.461096.251095.271095.681. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg2K4K6K8K10K1754.679543.239544.959527.761232.953153.903148.823148.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg30060090012001500237.791342.681340.291340.12195.50415.32415.12415.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUAMD EPYC 7303 16-Coreabcdefg5010015020025047.46226.15226.27222.7343.1885.5185.4684.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg11002200330044005500858.215333.245334.875335.15856.631727.341708.451725.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUAMD EPYC 7303 16-Coreabcdefg6001200180024003000520.892687.192655.092694.27369.70873.34865.28875.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg2004006008001000155.50899.15897.77898.69171.61303.80303.83303.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg20K40K60K80K100K23110.2098494.41101883.13101985.2123725.5746823.7345126.4547926.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragondefg81624324017.4832.9733.0432.97MIN: 17.31 / MAX: 17.65MIN: 32.77 / MAX: 33.49MIN: 32.83 / MAX: 33.53MIN: 32.78 / MAX: 33.29

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon Objdefg71421283515.7429.6229.5229.59MIN: 15.64 / MAX: 15.92MIN: 29.37 / MAX: 30.21MIN: 29.27 / MAX: 30.16MIN: 29.36 / MAX: 30.31

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Crowndefg71421283516.1330.1030.3430.26MIN: 15.95 / MAX: 16.45MIN: 29.78 / MAX: 30.77MIN: 30.01 / MAX: 30.87MIN: 29.92 / MAX: 30.97

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragondefg71421283515.8729.9830.1330.03MIN: 15.72 / MAX: 16.2MIN: 29.79 / MAX: 30.37MIN: 29.94 / MAX: 30.64MIN: 29.84 / MAX: 30.34

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon Objdefg61218243013.8426.0726.2726.16MIN: 13.7 / MAX: 14.06MIN: 25.87 / MAX: 26.79MIN: 26.05 / MAX: 26.62MIN: 25.98 / MAX: 26.75

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crowndefg61218243014.4026.5226.6126.40MIN: 14.25 / MAX: 14.69MIN: 26.18 / MAX: 27.13MIN: 26.29 / MAX: 27.11MIN: 26.05 / MAX: 27.08

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32AMD EPYC 7303 16-Coreabcdefg120240360480600273.2540.3471.0467.3356.5484.7482.9470.91. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64AMD EPYC 7303 16-Coreabcdefg2004006008001000406.9980.5923.9920.8442.5727.2737.3723.41. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlydefg0.21380.42760.64140.85521.0690.560.950.950.95

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlydefg0.21380.42760.64140.85521.0690.560.950.950.95

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlydefg0.1080.2160.3240.4320.540.280.480.480.48

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU Scalardefg60120180240300144273275274MIN: 11 / MAX: 2667MIN: 21 / MAX: 5037MIN: 21 / MAX: 5065MIN: 21 / MAX: 5053

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCdefg110220330440550267495497495MIN: 23 / MAX: 3404MIN: 44 / MAX: 6142MIN: 43 / MAX: 6162MIN: 43 / MAX: 6166

Laghos

Laghos (LAGrangian High-Order Solver) is a miniapp that solves the time-dependent Euler equations of compressible gas dynamics in a moving Lagrangian frame using unstructured high-order finite element spatial discretization and explicit high-order time-stepping. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point ProblemAMD EPYC 7303 16-Coreabcdefg4080120160200132.65164.19162.65167.28114.18182.23181.55180.931. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshAMD EPYC 7303 16-Coreabcdefg60120180240300148.49282.55282.08279.20132.46234.14233.54233.051. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingAMD EPYC 7303 16-Coreabcdefg110K220K330K440K550K1358925076115050364993471133842106202121392098871. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingAMD EPYC 7303 16-Coreabcdefg150K300K450K600K750K1161026438236479956787651068262145112162582184171. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUAMD EPYC 7303 16-Coreabcdefg4080120160200189.92157.75157.40156.74107.81109.89109.16110.71MIN: 169.75 / MAX: 200.94MIN: 108.19 / MAX: 274.81MIN: 128.42 / MAX: 281.86MIN: 131.77 / MAX: 297.92MIN: 102.18 / MAX: 124.72MIN: 93.05 / MAX: 140.85MIN: 99.46 / MAX: 143.57MIN: 98.56 / MAX: 144.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg2004006008001000921.14623.90623.64623.60478.92463.57462.78462.57MIN: 883.65 / MAX: 932.87MIN: 594.87 / MAX: 669.12MIN: 593.36 / MAX: 672.04MIN: 599.33 / MAX: 668.6MIN: 474.19 / MAX: 500.74MIN: 456.35 / MAX: 480.41MIN: 456.11 / MAX: 479.6MIN: 455.99 / MAX: 481.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg4812162014.009.669.689.678.497.297.297.29MIN: 7.54 / MAX: 24.09MIN: 7.98 / MAX: 45.57MIN: 7.94 / MAX: 44.33MIN: 7.95 / MAX: 41.68MIN: 7.96 / MAX: 14.96MIN: 7.14 / MAX: 16.48MIN: 7.14 / MAX: 16.05MIN: 7.15 / MAX: 16.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg1.02382.04763.07144.09525.1194.553.343.343.353.242.532.532.53MIN: 2.67 / MAX: 16.04MIN: 2.82 / MAX: 23.64MIN: 2.79 / MAX: 25.65MIN: 2.81 / MAX: 23.74MIN: 2.94 / MAX: 8.15MIN: 2.48 / MAX: 9.57MIN: 2.48 / MAX: 10.15MIN: 2.47 / MAX: 10.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg81624324033.6223.8123.8523.8620.4419.2519.2519.25MIN: 25.37 / MAX: 42.95MIN: 20.24 / MAX: 65.85MIN: 20.69 / MAX: 64.82MIN: 20.96 / MAX: 60.47MIN: 18.84 / MAX: 37.99MIN: 17.55 / MAX: 32.52MIN: 17.46 / MAX: 28.16MIN: 17.49 / MAX: 27.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUAMD EPYC 7303 16-Coreabcdefg4080120160200168.30141.33141.24143.5592.5393.4593.5094.17MIN: 141.17 / MAX: 184.72MIN: 113.19 / MAX: 547.49MIN: 114.93 / MAX: 488.84MIN: 114.18 / MAX: 525.63MIN: 87.83 / MAX: 184.88MIN: 77.59 / MAX: 139.64MIN: 82.68 / MAX: 155.42MIN: 85.17 / MAX: 160.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg61218243018.6323.9823.9823.9718.6518.4618.6718.48MIN: 8.99 / MAX: 30.48MIN: 21.19 / MAX: 37.06MIN: 21.31 / MAX: 35.8MIN: 21.4 / MAX: 33.21MIN: 17.81 / MAX: 33.21MIN: 17.85 / MAX: 32.35MIN: 17.84 / MAX: 33.76MIN: 17.82 / MAX: 33.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUAMD EPYC 7303 16-Coreabcdefg4812162015.3411.8912.0311.8610.809.139.219.11MIN: 9.22 / MAX: 27.56MIN: 10.03 / MAX: 55.71MIN: 10.4 / MAX: 55.41MIN: 9.49 / MAX: 57.72MIN: 9.8 / MAX: 19.62MIN: 8.44 / MAX: 24.1MIN: 8.24 / MAX: 23.34MIN: 8.35 / MAX: 22.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg306090120150102.82142.22142.42142.2993.16105.22105.23105.33MIN: 69.31 / MAX: 117.98MIN: 111.28 / MAX: 182.41MIN: 106.02 / MAX: 184.44MIN: 110.33 / MAX: 173.87MIN: 86.16 / MAX: 102.67MIN: 91.67 / MAX: 111.86MIN: 92.98 / MAX: 112.15MIN: 94.87 / MAX: 111.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAMD EPYC 7303 16-Coreabcdefg0.19350.3870.58050.7740.96750.680.850.850.860.660.670.700.66MIN: 0.4 / MAX: 11.17MIN: 0.72 / MAX: 27.72MIN: 0.72 / MAX: 21.71MIN: 0.71 / MAX: 40.39MIN: 0.61 / MAX: 6.63MIN: 0.61 / MAX: 10.58MIN: 0.61 / MAX: 10.2MIN: 0.61 / MAX: 10.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUdefg0.60241.20481.80722.40963.0122.677231.742441.698171.84652MIN: 2.34MIN: 1.45MIN: 1.41MIN: 1.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUdefg0.96151.9232.88453.8464.80754.273384.104123.839954.05768MIN: 3.64MIN: 3.26MIN: 3.1MIN: 2.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

d: The test run did not produce a result.

e: The test run did not produce a result.

f: The test run did not produce a result.

g: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUdefg1.27582.55163.82745.10326.3795.541365.670185.664355.63319MIN: 4.33MIN: 4.65MIN: 4.73MIN: 4.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUdefg0.43920.87841.31761.75682.1961.941731.933521.952201.95024MIN: 1.77MIN: 1.72MIN: 1.79MIN: 1.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

d: The test run did not produce a result.

e: The test run did not produce a result.

f: The test run did not produce a result.

g: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUdefg1.04222.08443.12664.16885.2114.631853.143713.061113.14105MIN: 4.26MIN: 2.85MIN: 2.86MIN: 2.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUdefg0.43380.86761.30141.73522.1691.928111.168561.165451.17023MIN: 1.74MIN: 1.1MIN: 1.11MIN: 1.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

d: The test run did not produce a result.

e: The test run did not produce a result.

f: The test run did not produce a result.

g: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUdefg0.52781.05561.58342.11122.6392.345651.894051.770642.12070MIN: 2.11MIN: 1.51MIN: 1.42MIN: 1.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUdefg0.51411.02821.54232.05642.57051.650901.447491.923482.28469MIN: 1.3MIN: 1.01MIN: 1.39MIN: 1.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

d: The test run did not produce a result.

e: The test run did not produce a result.

f: The test run did not produce a result.

g: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUdefg1.01552.0313.04654.0625.07754.513333.849164.189743.94733MIN: 2.92MIN: 3.54MIN: 3.58MIN: 3.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUdefg0.25740.51480.77221.02961.2870.7684491.0532401.1437901.086610MIN: 0.6MIN: 0.81MIN: 0.83MIN: 0.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

d: The test run did not produce a result.

e: The test run did not produce a result.

f: The test run did not produce a result.

g: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUdefg70014002100280035003019.313494.513341.933451.09MIN: 2971.6MIN: 3430.83MIN: 3231.53MIN: 3397.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUdefg80016002400320040003037.723379.253281.243556.44MIN: 2984.39MIN: 3265.73MIN: 3185.12MIN: 3506.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUdefg70014002100280035003028.363216.133462.903272.36MIN: 2984.7MIN: 3111.44MIN: 3392.2MIN: 3161.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUdefg300600900120015001451.201114.671139.541129.54MIN: 1412.26MIN: 1074.44MIN: 1087.78MIN: 1079.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUdefg300600900120015001445.861161.801153.451145.62MIN: 1399.09MIN: 1098.59MIN: 1089.33MIN: 1102.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUdefg300600900120015001466.251137.111128.301149.15MIN: 1422.8MIN: 1093.13MIN: 1073.3MIN: 1097.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamAMD EPYC 7303 16-Coreabcdefg306090120150118.33115.89116.73116.30134.32105.44105.68107.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MAMD EPYC 7303 16-Coreabcdefg120240360480600551.24174.49173.59174.45489.75304.03306.37303.58

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestAMD EPYC 7303 16-Coreabcdefg153045607565.5526.5426.3526.5363.7141.0541.0140.85

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on WindshieldAMD EPYC 7303 16-Coreabcdefg50100150200250202.93147.64146.17146.31235.98192.24192.62192.49

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal InstallationAMD EPYC 7303 16-Coreabcdefg306090120150102.80130.40134.61131.25129.36118.07120.33122.81

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerAMD EPYC 7303 16-Coreabcdefg90180270360450357.27132.37129.61132.80429.22302.03305.55307.24

Remhos

Remhos (REMap High-Order Solver) is a miniapp that solves the pure advection equations that are used to perform monotonic and conservative discontinuous field interpolation (remap) as part of the Eulerian phase in Arbitrary Lagrangian Eulerian (ALE) simulations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap ExampleAMD EPYC 7303 16-Coreabcdefg91827364537.3111.2811.0211.7139.7123.4623.4923.721. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0AMD EPYC 7303 16-Coreabcdefg306090120150120.8575.6075.7875.84125.9292.4591.9192.531. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2AMD EPYC 7303 16-Coreabcdefg142842567060.1941.4240.8442.4164.1548.7248.8448.731. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6AMD EPYC 7303 16-Coreabcdefg1.29852.5973.89555.1946.49255.2823.2483.3313.3095.7713.9653.9763.9621. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessAMD EPYC 7303 16-Coreabcdefg36912159.1866.7866.8816.92910.1337.8017.8247.8251. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 10, LosslessAMD EPYC 7303 16-Coreabcdefg2468105.7795.4745.4855.5356.1865.8555.8175.8151. (CXX) g++ options: -O3 -fPIC -lm

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigAMD EPYC 7303 16-Coreabcdefg153045607567.4123.8823.9723.9468.6843.4143.4843.32

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigAMD EPYC 7303 16-Coreabcdefg2004006008001000815.40182.49179.99179.54830.49462.14462.60462.70

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-OnlyAMD EPYC 7303 16-Coreabcdefg2040608010089.4516.0816.0816.1994.8650.2150.2550.09

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-OnlyAMD EPYC 7303 16-Coreabcdefg50100150200250226.0640.2840.2140.04237.87116.68117.05118.34

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-OnlyAMD EPYC 7303 16-Coreabcdefg306090120150109.2120.4420.7320.45116.6662.5262.1862.31

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-OnlyAMD EPYC 7303 16-Coreabcdefg2004006008001000871.17153.78152.94152.50974.94505.43504.18506.55

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD EPYC 7303 16-Coreabcdefg60120180240300280.0349.6649.3248.96296.74155.52157.08157.59

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240defg0.74051.4812.22152.9623.70253.2912.8312.6722.7661. (CXX) g++ options: -O3 -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200defg153045607565.7355.3460.0556.341. (CXX) g++ options: -O3 -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400defg306090120150149.20140.30130.45133.181. (CXX) g++ options: -O3 -fopenmp

75 Results Shown

OpenVINO:
  Person Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
Embree:
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer - Crown
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
libxsmm:
  32
  64
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
OpenVKL:
  vklBenchmarkCPU Scalar
  vklBenchmarkCPU ISPC
Laghos:
  Triple Point Problem
  Sedov Blast Wave, ube_922_hex.mesh
7-Zip Compression:
  Compression Rating
  Decompression Rating
OpenVINO:
  Person Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  IP Shapes 1D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
OpenRadioss:
  Bumper Beam
  Chrysler Neon 1M
  Cell Phone Drop Test
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  INIVOL and Fluid Structure Interaction Drop Container
Remhos
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
easyWave:
  e2Asean Grid + BengkuluSept2007 Source - 240
  e2Asean Grid + BengkuluSept2007 Source - 1200
  e2Asean Grid + BengkuluSept2007 Source - 2400