Ryzen 5 7600X Extra Linux

AMD Ryzen 5 7600X 6-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0604 BIOS) and AMD Radeon RX 6800 XT 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 2210045-PTS-RYZEN57670
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Ryzen 5 7600X
October 04 2022
  3 Hours, 28 Minutes
7600X
October 04 2022
  4 Hours, 33 Minutes
AMD 7600X
October 04 2022
  3 Hours, 36 Minutes
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  3 Hours, 52 Minutes

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Ryzen 5 7600X Extra LinuxOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 7600X 6-Core @ 5.45GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR X670E HERO (0604 BIOS)AMD Device 14d832GB1000GB Sabrent Rocket 4.0 PlusAMD Radeon RX 6800 XT (2575/1000MHz)AMD Navi 21 HDMI AudioASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc7daily20221001-generic (x86_64)GNOME Shell 42.4X Server 1.21.1.3 + Wayland4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48)1.3.204GCC 11.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 5 7600X Extra Linux 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-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 - Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa601203 - 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 5 7600X7600XAMD 7600XResult OverviewPhoronix Test Suite100%100%100%101%AOM AV1OpenFOAMLZ4 CompressionZstd CompressionTimed Linux Kernel CompilationSMHasherY-CruncheroneDNN7-Zip CompressionGzip Compression

Ryzen 5 7600X Extra Linuxsmhasher: wyhashsmhasher: wyhashsmhasher: SHA3-256smhasher: SHA3-256smhasher: Spooky32smhasher: Spooky32smhasher: fasthash32smhasher: fasthash32smhasher: FarmHash128smhasher: FarmHash128smhasher: t1ha2_atoncesmhasher: t1ha2_atoncesmhasher: FarmHash32 x86_64 AVXsmhasher: FarmHash32 x86_64 AVXsmhasher: t1ha0_aes_avx2 x86_64smhasher: t1ha0_aes_avx2 x86_64smhasher: MeowHash x86_64 AES-NIsmhasher: MeowHash x86_64 AES-NIopenfoam: motorBike - Mesh Timeopenfoam: motorBike - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timecompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedcompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedaom-av1: Speed 0 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 1080pcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigy-cruncher: 1By-cruncher: 500Monednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUcompress-gzip: Linux Source Tree Archiving To .tar.gzRyzen 5 7600X7600XAMD 7600X23465.9219.257160.522477.26015479.6936.5336582.2529.59414134.7462.48115576.2527.48427852.9635.06576708.6327.2940843.8559.60330.162281.202535.777009278.1377716698.1119142.675.5918242.275.7518301.34174.25710.11239.96085.642.95358.51160.76182.31150.16443.535.85362.00.197.0035.3112.4045.7668.5970.610.6416.4561.4346.50148.13203.41215.97882316928672.603908.86632.19714.6303.906534.508780.7211971.008581.509222.624197.464276.021645.233027.193550.9902651.278892783.281393.352785.383.266589.983163.196011392.221.455782783.981392.240.3209530.53837626.70923467.1219.217160.582464.41715480.2036.1256586.6229.58114132.3762.48115576.7127.48327853.1335.92776769.9927.2940847.5559.59530.211481.137836.120221278.2536416669.8219053.576.2018251.376.6018226.54166.45752.01263.16021.143.05245.81140.56133.21153.56648.735.95356.50.196.9535.3412.3445.6968.4170.350.6316.4361.1046.05147.20199.97213.97873696978272.631909.71332.17714.6753.906864.528360.7230731.015811.509332.614287.466345.937195.242837.203430.9929521.282262792.861397.522795.603.2666410.01233.202941395.461.454132791.431395.920.3219880.53890226.67723466.1019.253163.402443.65215479.9636.1476578.0229.57514134.7162.48115576.7327.48927852.2035.06576682.9427.2940847.9659.59630.163481.191535.195809278.4060616745.2619170.376.8018352.475.0218306.84164.25817.51246.96003.742.95289.81172.56237.71131.06366.236.05261.50.196.9334.6512.2745.2168.2770.560.6416.2760.8545.80146.89200.35213.34874456981472.500907.73532.12414.6373.905724.465450.7189081.011141.506282.572997.459786.434295.227027.191570.9897451.277652785.401395.352793.633.2591110.015863.200591395.821.454102791.421392.220.3213440.53710226.704OpenBenchmarking.org

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: wyhash7600XAMD 7600XRyzen 5 7600X5K10K15K20K25KSE +/- 0.32, N = 3SE +/- 1.15, N = 3SE +/- 1.04, N = 323467.1223466.1023465.921. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: SHA3-2567600XAMD 7600XRyzen 5 7600X4080120160200SE +/- 1.31, N = 9SE +/- 0.01, N = 3SE +/- 1.95, N = 3160.58163.40160.521. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: Spooky327600XAMD 7600XRyzen 5 7600X3K6K9K12K15KSE +/- 0.40, N = 3SE +/- 0.49, N = 3SE +/- 0.84, N = 315480.2015479.9615479.691. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: fasthash327600XAMD 7600XRyzen 5 7600X14002800420056007000SE +/- 2.93, N = 3SE +/- 5.98, N = 3SE +/- 5.20, N = 36586.626578.026582.251. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash1287600XAMD 7600XRyzen 5 7600X3K6K9K12K15KSE +/- 2.36, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 314132.3714134.7114134.741. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha2_atonce7600XAMD 7600XRyzen 5 7600X3K6K9K12K15KSE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.42, N = 315576.7115576.7315576.251. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVX7600XAMD 7600XRyzen 5 7600X6K12K18K24K30KSE +/- 0.20, N = 3SE +/- 1.19, N = 3SE +/- 0.24, N = 327853.1327852.2027852.961. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_647600XAMD 7600XRyzen 5 7600X16K32K48K64K80KSE +/- 27.34, N = 3SE +/- 11.07, N = 3SE +/- 40.67, N = 376769.9976682.9476708.631. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NI7600XAMD 7600XRyzen 5 7600X9K18K27K36K45KSE +/- 8.29, N = 3SE +/- 8.96, N = 3SE +/- 3.92, N = 340847.5540847.9640843.851. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Mesh Time7600XAMD 7600XRyzen 5 7600X71421283530.2130.1630.161. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lphysicalProperties -lspecie -lfiniteVolume -lfvModels -lgenericPatchFields -lmeshTools -lsampling -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Execution Time7600XAMD 7600XRyzen 5 7600X2040608010081.1481.1981.201. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lphysicalProperties -lspecie -lfiniteVolume -lfvModels -lgenericPatchFields -lmeshTools -lsampling -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Time7600XAMD 7600XRyzen 5 7600X81624324036.1235.2035.781. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lphysicalProperties -lspecie -lfiniteVolume -lfvModels -lgenericPatchFields -lmeshTools -lsampling -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Time7600XAMD 7600XRyzen 5 7600X60120180240300278.25278.41278.141. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lphysicalProperties -lspecie -lfiniteVolume -lfvModels -lgenericPatchFields -lmeshTools -lsampling -lOpenFOAM -ldl -lm

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed7600XAMD 7600XRyzen 5 7600X4K8K12K16K20KSE +/- 70.28, N = 3SE +/- 25.14, N = 3SE +/- 9.80, N = 316669.8216745.2616698.111. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed7600XAMD 7600XRyzen 5 7600X4K8K12K16K20KSE +/- 71.99, N = 3SE +/- 13.87, N = 3SE +/- 36.05, N = 319053.519170.319142.61. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed7600XAMD 7600XRyzen 5 7600X20406080100SE +/- 0.16, N = 3SE +/- 0.28, N = 3SE +/- 0.54, N = 376.2076.8075.591. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed7600XAMD 7600XRyzen 5 7600X4K8K12K16K20KSE +/- 66.05, N = 3SE +/- 7.41, N = 3SE +/- 67.19, N = 318251.318352.418242.21. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed7600XAMD 7600XRyzen 5 7600X20406080100SE +/- 0.38, N = 3SE +/- 0.65, N = 3SE +/- 1.01, N = 376.6075.0275.751. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed7600XAMD 7600XRyzen 5 7600X4K8K12K16K20KSE +/- 14.54, N = 3SE +/- 9.52, N = 3SE +/- 9.12, N = 318226.518306.818301.31. (CC) gcc options: -O3

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Compression Speed7600XAMD 7600XRyzen 5 7600X9001800270036004500SE +/- 48.30, N = 3SE +/- 18.50, N = 3SE +/- 34.06, N = 34166.44164.24174.21. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Decompression Speed7600XAMD 7600XRyzen 5 7600X12002400360048006000SE +/- 15.22, N = 3SE +/- 69.22, N = 3SE +/- 27.50, N = 35752.05817.55710.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Compression Speed7600XAMD 7600XRyzen 5 7600X30060090012001500SE +/- 15.03, N = 4SE +/- 11.42, N = 3SE +/- 16.40, N = 31263.11246.91239.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression Speed7600XAMD 7600XRyzen 5 7600X13002600390052006500SE +/- 3.44, N = 4SE +/- 10.51, N = 3SE +/- 80.93, N = 36021.16003.76085.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression Speed7600XAMD 7600XRyzen 5 7600X1020304050SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 343.042.942.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression Speed7600XAMD 7600XRyzen 5 7600X11002200330044005500SE +/- 16.61, N = 3SE +/- 39.22, N = 3SE +/- 59.53, N = 35245.85289.85358.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Compression Speed7600XAMD 7600XRyzen 5 7600X30060090012001500SE +/- 0.96, N = 3SE +/- 21.26, N = 13SE +/- 12.66, N = 41140.51172.51160.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Decompression Speed7600XAMD 7600XRyzen 5 7600X13002600390052006500SE +/- 4.35, N = 3SE +/- 36.48, N = 13SE +/- 64.69, N = 46133.26237.76182.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speed7600XAMD 7600XRyzen 5 7600X2004006008001000SE +/- 6.42, N = 3SE +/- 6.83, N = 3SE +/- 13.01, N = 41153.51131.01150.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Decompression Speed7600XAMD 7600XRyzen 5 7600X14002800420056007000SE +/- 9.99, N = 3SE +/- 17.81, N = 3SE +/- 71.53, N = 46648.76366.26443.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression Speed7600XAMD 7600XRyzen 5 7600X816243240SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 335.936.035.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression Speed7600XAMD 7600XRyzen 5 7600X11002200330044005500SE +/- 58.15, N = 3SE +/- 7.55, N = 3SE +/- 58.08, N = 35356.55261.55362.01. (CC) gcc options: -O3 -pthread -lz -llzma

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K7600XAMD 7600XRyzen 5 7600X0.04280.08560.12840.17120.214SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.190.190.191. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K7600XAMD 7600XRyzen 5 7600X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.956.937.001. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K7600XAMD 7600XRyzen 5 7600X816243240SE +/- 0.16, N = 3SE +/- 0.40, N = 3SE +/- 0.36, N = 335.3434.6535.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K7600XAMD 7600XRyzen 5 7600X3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 312.3412.2712.401. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K7600XAMD 7600XRyzen 5 7600X1020304050SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 345.6945.2145.761. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K7600XAMD 7600XRyzen 5 7600X1530456075SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 368.4168.2768.591. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K7600XAMD 7600XRyzen 5 7600X1632486480SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 370.3570.5670.611. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p7600XAMD 7600XRyzen 5 7600X0.1440.2880.4320.5760.72SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.640.641. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p7600XAMD 7600XRyzen 5 7600X48121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 316.4316.2716.451. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p7600XAMD 7600XRyzen 5 7600X1428425670SE +/- 0.64, N = 5SE +/- 0.32, N = 3SE +/- 0.56, N = 761.1060.8561.431. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p7600XAMD 7600XRyzen 5 7600X1122334455SE +/- 0.36, N = 3SE +/- 0.23, N = 3SE +/- 0.17, N = 346.0545.8046.501. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p7600XAMD 7600XRyzen 5 7600X306090120150SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3147.20146.89148.131. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p7600XAMD 7600XRyzen 5 7600X4080120160200SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3199.97200.35203.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p7600XAMD 7600XRyzen 5 7600X50100150200250SE +/- 0.31, N = 3SE +/- 0.40, N = 3SE +/- 0.88, N = 3213.97213.34215.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

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 Rating7600XAMD 7600XRyzen 5 7600X20K40K60K80K100KSE +/- 78.24, N = 3SE +/- 321.87, N = 3SE +/- 71.42, N = 38736987445882311. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Rating7600XAMD 7600XRyzen 5 7600X15K30K45K60K75KSE +/- 83.76, N = 3SE +/- 251.42, N = 3SE +/- 153.19, N = 36978269814692861. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 5.18Build: defconfig7600XAMD 7600XRyzen 5 7600X1632486480SE +/- 0.24, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 372.6372.5072.60

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: allmodconfig7600XAMD 7600XRyzen 5 7600X2004006008001000SE +/- 0.20, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3909.71907.74908.87

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1B7600XAMD 7600XRyzen 5 7600X714212835SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 332.1832.1232.20

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500M7600XAMD 7600XRyzen 5 7600X48121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 314.6814.6414.63

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.8791.7582.6373.5164.395SE +/- 0.00878, N = 3SE +/- 0.00393, N = 3SE +/- 0.00817, N = 33.906863.905723.90653MIN: 3.69MIN: 3.68MIN: 3.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X1.01892.03783.05674.07565.0945SE +/- 0.05009, N = 3SE +/- 0.00696, N = 3SE +/- 0.03315, N = 34.528364.465454.50878MIN: 4.42MIN: 4.4MIN: 4.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.16270.32540.48810.65080.8135SE +/- 0.000255, N = 3SE +/- 0.000780, N = 3SE +/- 0.000365, N = 30.7230730.7189080.721197MIN: 0.7MIN: 0.7MIN: 0.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.22860.45720.68580.91441.143SE +/- 0.00075, N = 3SE +/- 0.00359, N = 3SE +/- 0.00042, N = 31.015811.011141.00858MIN: 0.96MIN: 0.95MIN: 0.951. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.33960.67921.01881.35841.698SE +/- 0.00094, N = 3SE +/- 0.00211, N = 3SE +/- 0.00029, N = 31.509331.506281.50922MIN: 1.46MIN: 1.45MIN: 1.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.59041.18081.77122.36162.952SE +/- 0.02442, N = 3SE +/- 0.00322, N = 3SE +/- 0.02702, N = 32.614282.572992.62419MIN: 2.51MIN: 2.48MIN: 2.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X246810SE +/- 0.00132, N = 3SE +/- 0.00511, N = 3SE +/- 0.00116, N = 37.466347.459787.46427MIN: 7.37MIN: 7.36MIN: 7.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X246810SE +/- 0.06891, N = 4SE +/- 0.09872, N = 15SE +/- 0.08132, N = 155.937196.434296.02164MIN: 5.45MIN: 5.36MIN: 5.391. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X1.17962.35923.53884.71845.898SE +/- 0.00050, N = 3SE +/- 0.00054, N = 3SE +/- 0.00215, N = 35.242835.227025.23302MIN: 5.04MIN: 5.04MIN: 5.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X246810SE +/- 0.02849, N = 3SE +/- 0.02306, N = 3SE +/- 0.03114, N = 37.203437.191577.19355MIN: 7.09MIN: 7.09MIN: 7.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.22340.44680.67020.89361.117SE +/- 0.000625, N = 3SE +/- 0.000533, N = 3SE +/- 0.000616, N = 30.9929520.9897450.990265MIN: 0.97MIN: 0.96MIN: 0.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.28850.5770.86551.1541.4425SE +/- 0.00390, N = 3SE +/- 0.00100, N = 3SE +/- 0.00410, N = 31.282261.277651.27889MIN: 1.22MIN: 1.22MIN: 1.221. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X6001200180024003000SE +/- 1.06, N = 3SE +/- 1.95, N = 3SE +/- 1.16, N = 32792.862785.402783.28MIN: 2783.54MIN: 2776.94MIN: 2776.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X30060090012001500SE +/- 1.47, N = 3SE +/- 0.37, N = 3SE +/- 0.50, N = 31397.521395.351393.35MIN: 1390.26MIN: 1390.04MIN: 1388.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X6001200180024003000SE +/- 0.63, N = 3SE +/- 0.85, N = 3SE +/- 0.69, N = 32795.602793.632785.38MIN: 2788.22MIN: 2785.73MIN: 2779.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.7351.472.2052.943.675SE +/- 0.00070, N = 3SE +/- 0.00103, N = 3SE +/- 0.00064, N = 33.266643.259113.26658MIN: 3.21MIN: 3.21MIN: 3.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU7600XAMD 7600XRyzen 5 7600X3691215SE +/- 0.00227, N = 3SE +/- 0.01700, N = 3SE +/- 0.00214, N = 310.0123010.015869.98316MIN: 9.68MIN: 9.75MIN: 9.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.72071.44142.16212.88283.6035SE +/- 0.00090, N = 3SE +/- 0.00303, N = 3SE +/- 0.00136, N = 33.202943.200593.19601MIN: 3.01MIN: 3.01MIN: 3.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X30060090012001500SE +/- 0.51, N = 3SE +/- 0.69, N = 3SE +/- 0.39, N = 31395.461395.821392.22MIN: 1390.49MIN: 1388.95MIN: 1387.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.32760.65520.98281.31041.638SE +/- 0.00104, N = 3SE +/- 0.00050, N = 3SE +/- 0.00083, N = 31.454131.454101.45578MIN: 1.43MIN: 1.43MIN: 1.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU7600XAMD 7600XRyzen 5 7600X6001200180024003000SE +/- 1.05, N = 3SE +/- 0.98, N = 3SE +/- 0.43, N = 32791.432791.422783.98MIN: 2784.03MIN: 2783.53MIN: 2777.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU7600XAMD 7600XRyzen 5 7600X30060090012001500SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.20, N = 31395.921392.221392.24MIN: 1391.06MIN: 1388.05MIN: 1387.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.07240.14480.21720.28960.362SE +/- 0.000234, N = 3SE +/- 0.000407, N = 3SE +/- 0.000237, N = 30.3219880.3213440.320953MIN: 0.31MIN: 0.31MIN: 0.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU7600XAMD 7600XRyzen 5 7600X0.12130.24260.36390.48520.6065SE +/- 0.000859, N = 3SE +/- 0.000256, N = 3SE +/- 0.000735, N = 30.5389020.5371020.538376MIN: 0.52MIN: 0.51MIN: 0.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Gzip Compression

This test measures the time needed to archive/compress two copies of the Linux 4.13 kernel source tree using Gzip compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGzip CompressionLinux Source Tree Archiving To .tar.gz7600XAMD 7600XRyzen 5 7600X612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 326.6826.7026.71

76 Results Shown

SMHasher:
  wyhash
  SHA3-256
  Spooky32
  fasthash32
  FarmHash128
  t1ha2_atonce
  FarmHash32 x86_64 AVX
  t1ha0_aes_avx2 x86_64
  MeowHash x86_64 AES-NI
OpenFOAM:
  motorBike - Mesh Time
  motorBike - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
Zstd Compression:
  3 - Compression Speed
  3 - Decompression Speed
  8 - Compression Speed
  8 - Decompression Speed
  19 - Compression Speed
  19 - Decompression Speed
  3, Long Mode - Compression Speed
  3, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
AOM AV1:
  Speed 0 Two-Pass - Bosphorus 4K
  Speed 4 Two-Pass - Bosphorus 4K
  Speed 6 Realtime - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 4K
  Speed 9 Realtime - Bosphorus 4K
  Speed 10 Realtime - Bosphorus 4K
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 4 Two-Pass - Bosphorus 1080p
  Speed 6 Realtime - Bosphorus 1080p
  Speed 6 Two-Pass - Bosphorus 1080p
  Speed 8 Realtime - Bosphorus 1080p
  Speed 9 Realtime - Bosphorus 1080p
  Speed 10 Realtime - Bosphorus 1080p
7-Zip Compression:
  Compression Rating
  Decompression Rating
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Y-Cruncher:
  1B
  500M
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
Gzip Compression