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 Ryzen 5 7600X Extra Linux - Phoronix Test Suite 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.
HTML result view exported from: https://openbenchmarking.org/result/2210045-PTS-RYZEN57670&sro .
Ryzen 5 7600X Extra Linux Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution Ryzen 5 7600X 7600X AMD 7600X AMD Ryzen 5 7600X 6-Core @ 5.45GHz (6 Cores / 12 Threads) ASUS ROG CROSSHAIR X670E HERO (0604 BIOS) AMD Device 14d8 32GB 1000GB Sabrent Rocket 4.0 Plus AMD Radeon RX 6800 XT (2575/1000MHz) AMD Navi 21 HDMI Audio ASUS MG28U Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 Ubuntu 22.04 6.0.0-060000rc7daily20221001-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 + Wayland 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48) 1.3.204 GCC 11.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa601203 Security 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 + 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 7600X Extra Linux smhasher: wyhash smhasher: wyhash smhasher: SHA3-256 smhasher: SHA3-256 smhasher: Spooky32 smhasher: Spooky32 smhasher: fasthash32 smhasher: fasthash32 smhasher: FarmHash128 smhasher: FarmHash128 smhasher: t1ha2_atonce smhasher: t1ha2_atonce smhasher: FarmHash32 x86_64 AVX smhasher: FarmHash32 x86_64 AVX smhasher: t1ha0_aes_avx2 x86_64 smhasher: t1ha0_aes_avx2 x86_64 smhasher: MeowHash x86_64 AES-NI smhasher: MeowHash x86_64 AES-NI openfoam: motorBike - Mesh Time openfoam: motorBike - Execution Time openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time compress-lz4: 1 - Compression Speed compress-lz4: 1 - Decompression Speed compress-lz4: 3 - Compression Speed compress-lz4: 3 - Decompression Speed compress-lz4: 9 - Compression Speed compress-lz4: 9 - Decompression Speed compress-zstd: 3 - Compression Speed compress-zstd: 3 - Decompression Speed compress-zstd: 8 - Compression Speed compress-zstd: 8 - Decompression Speed compress-zstd: 19 - Compression Speed compress-zstd: 19 - Decompression Speed compress-zstd: 3, Long Mode - Compression Speed compress-zstd: 3, Long Mode - Decompression Speed compress-zstd: 8, Long Mode - Compression Speed compress-zstd: 8, Long Mode - Decompression Speed compress-zstd: 19, Long Mode - Compression Speed compress-zstd: 19, Long Mode - Decompression Speed aom-av1: Speed 0 Two-Pass - Bosphorus 4K aom-av1: Speed 4 Two-Pass - Bosphorus 4K aom-av1: Speed 6 Realtime - Bosphorus 4K aom-av1: Speed 6 Two-Pass - Bosphorus 4K aom-av1: Speed 8 Realtime - Bosphorus 4K aom-av1: Speed 9 Realtime - Bosphorus 4K aom-av1: Speed 10 Realtime - Bosphorus 4K aom-av1: Speed 0 Two-Pass - Bosphorus 1080p aom-av1: Speed 4 Two-Pass - Bosphorus 1080p aom-av1: Speed 6 Realtime - Bosphorus 1080p aom-av1: Speed 6 Two-Pass - Bosphorus 1080p aom-av1: Speed 8 Realtime - Bosphorus 1080p aom-av1: Speed 9 Realtime - Bosphorus 1080p aom-av1: Speed 10 Realtime - Bosphorus 1080p compress-7zip: Compression Rating compress-7zip: Decompression Rating build-linux-kernel: defconfig build-linux-kernel: allmodconfig y-cruncher: 1B y-cruncher: 500M onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU compress-gzip: Linux Source Tree Archiving To .tar.gz Ryzen 5 7600X 7600X AMD 7600X 23465.92 19.257 160.52 2477.260 15479.69 36.533 6582.25 29.594 14134.74 62.481 15576.25 27.484 27852.96 35.065 76708.63 27.29 40843.85 59.603 30.1622 81.2025 35.777009 278.13777 16698.11 19142.6 75.59 18242.2 75.75 18301.3 4174.2 5710.1 1239.9 6085.6 42.9 5358.5 1160.7 6182.3 1150.1 6443.5 35.8 5362.0 0.19 7.00 35.31 12.40 45.76 68.59 70.61 0.64 16.45 61.43 46.50 148.13 203.41 215.97 88231 69286 72.603 908.866 32.197 14.630 3.90653 4.50878 0.721197 1.00858 1.50922 2.62419 7.46427 6.02164 5.23302 7.19355 0.990265 1.27889 2783.28 1393.35 2785.38 3.26658 9.98316 3.19601 1392.22 1.45578 2783.98 1392.24 0.320953 0.538376 26.709 23467.12 19.217 160.58 2464.417 15480.20 36.125 6586.62 29.581 14132.37 62.481 15576.71 27.483 27853.13 35.927 76769.99 27.29 40847.55 59.595 30.2114 81.1378 36.120221 278.25364 16669.82 19053.5 76.20 18251.3 76.60 18226.5 4166.4 5752.0 1263.1 6021.1 43.0 5245.8 1140.5 6133.2 1153.5 6648.7 35.9 5356.5 0.19 6.95 35.34 12.34 45.69 68.41 70.35 0.63 16.43 61.10 46.05 147.20 199.97 213.97 87369 69782 72.631 909.713 32.177 14.675 3.90686 4.52836 0.723073 1.01581 1.50933 2.61428 7.46634 5.93719 5.24283 7.20343 0.992952 1.28226 2792.86 1397.52 2795.60 3.26664 10.0123 3.20294 1395.46 1.45413 2791.43 1395.92 0.321988 0.538902 26.677 23466.10 19.253 163.40 2443.652 15479.96 36.147 6578.02 29.575 14134.71 62.481 15576.73 27.489 27852.20 35.065 76682.94 27.29 40847.96 59.596 30.1634 81.1915 35.195809 278.40606 16745.26 19170.3 76.80 18352.4 75.02 18306.8 4164.2 5817.5 1246.9 6003.7 42.9 5289.8 1172.5 6237.7 1131.0 6366.2 36.0 5261.5 0.19 6.93 34.65 12.27 45.21 68.27 70.56 0.64 16.27 60.85 45.80 146.89 200.35 213.34 87445 69814 72.500 907.735 32.124 14.637 3.90572 4.46545 0.718908 1.01114 1.50628 2.57299 7.45978 6.43429 5.22702 7.19157 0.989745 1.27765 2785.40 1395.35 2793.63 3.25911 10.01586 3.20059 1395.82 1.45410 2791.42 1392.22 0.321344 0.537102 26.704 OpenBenchmarking.org
SMHasher Hash: wyhash OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: wyhash 7600X AMD 7600X Ryzen 5 7600X 5K 10K 15K 20K 25K SE +/- 0.32, N = 3 SE +/- 1.15, N = 3 SE +/- 1.04, N = 3 23467.12 23466.10 23465.92 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: wyhash OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: wyhash 7600X AMD 7600X Ryzen 5 7600X 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 19.22 19.25 19.26 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: SHA3-256 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: SHA3-256 7600X AMD 7600X Ryzen 5 7600X 40 80 120 160 200 SE +/- 1.31, N = 9 SE +/- 0.01, N = 3 SE +/- 1.95, N = 3 160.58 163.40 160.52 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: SHA3-256 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: SHA3-256 7600X AMD 7600X Ryzen 5 7600X 500 1000 1500 2000 2500 SE +/- 13.27, N = 9 SE +/- 5.65, N = 3 SE +/- 32.96, N = 3 2464.42 2443.65 2477.26 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: Spooky32 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: Spooky32 7600X AMD 7600X Ryzen 5 7600X 3K 6K 9K 12K 15K SE +/- 0.40, N = 3 SE +/- 0.49, N = 3 SE +/- 0.84, N = 3 15480.20 15479.96 15479.69 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: Spooky32 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: Spooky32 7600X AMD 7600X Ryzen 5 7600X 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.35, N = 3 36.13 36.15 36.53 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: fasthash32 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: fasthash32 7600X AMD 7600X Ryzen 5 7600X 1400 2800 4200 5600 7000 SE +/- 2.93, N = 3 SE +/- 5.98, N = 3 SE +/- 5.20, N = 3 6586.62 6578.02 6582.25 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: fasthash32 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: fasthash32 7600X AMD 7600X Ryzen 5 7600X 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 29.58 29.58 29.59 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: FarmHash128 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: FarmHash128 7600X AMD 7600X Ryzen 5 7600X 3K 6K 9K 12K 15K SE +/- 2.36, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 14132.37 14134.71 14134.74 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: FarmHash128 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: FarmHash128 7600X AMD 7600X Ryzen 5 7600X 14 28 42 56 70 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 62.48 62.48 62.48 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: t1ha2_atonce OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: t1ha2_atonce 7600X AMD 7600X Ryzen 5 7600X 3K 6K 9K 12K 15K SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.42, N = 3 15576.71 15576.73 15576.25 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: t1ha2_atonce OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: t1ha2_atonce 7600X AMD 7600X Ryzen 5 7600X 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 27.48 27.49 27.48 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: FarmHash32 x86_64 AVX OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX 7600X AMD 7600X Ryzen 5 7600X 6K 12K 18K 24K 30K SE +/- 0.20, N = 3 SE +/- 1.19, N = 3 SE +/- 0.24, N = 3 27853.13 27852.20 27852.96 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: FarmHash32 x86_64 AVX OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX 7600X AMD 7600X Ryzen 5 7600X 8 16 24 32 40 SE +/- 0.86, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 35.93 35.07 35.07 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: t1ha0_aes_avx2 x86_64 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 7600X AMD 7600X Ryzen 5 7600X 16K 32K 48K 64K 80K SE +/- 27.34, N = 3 SE +/- 11.07, N = 3 SE +/- 40.67, N = 3 76769.99 76682.94 76708.63 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: t1ha0_aes_avx2 x86_64 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 7600X AMD 7600X Ryzen 5 7600X 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 27.29 27.29 27.29 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: MeowHash x86_64 AES-NI OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI 7600X AMD 7600X Ryzen 5 7600X 9K 18K 27K 36K 45K SE +/- 8.29, N = 3 SE +/- 8.96, N = 3 SE +/- 3.92, N = 3 40847.55 40847.96 40843.85 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: MeowHash x86_64 AES-NI OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI 7600X AMD 7600X Ryzen 5 7600X 13 26 39 52 65 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 59.60 59.60 59.60 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
OpenFOAM Input: motorBike - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: motorBike - Mesh Time 7600X AMD 7600X Ryzen 5 7600X 7 14 21 28 35 30.21 30.16 30.16 1. (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
OpenFOAM Input: motorBike - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: motorBike - Execution Time 7600X AMD 7600X Ryzen 5 7600X 20 40 60 80 100 81.14 81.19 81.20 1. (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
OpenFOAM Input: drivaerFastback, Small Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time 7600X AMD 7600X Ryzen 5 7600X 8 16 24 32 40 36.12 35.20 35.78 1. (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
OpenFOAM Input: drivaerFastback, Small Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time 7600X AMD 7600X Ryzen 5 7600X 60 120 180 240 300 278.25 278.41 278.14 1. (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 Compression Level: 1 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 4K 8K 12K 16K 20K SE +/- 70.28, N = 3 SE +/- 25.14, N = 3 SE +/- 9.80, N = 3 16669.82 16745.26 16698.11 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 1 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 4K 8K 12K 16K 20K SE +/- 71.99, N = 3 SE +/- 13.87, N = 3 SE +/- 36.05, N = 3 19053.5 19170.3 19142.6 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 3 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 20 40 60 80 100 SE +/- 0.16, N = 3 SE +/- 0.28, N = 3 SE +/- 0.54, N = 3 76.20 76.80 75.59 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 4K 8K 12K 16K 20K SE +/- 66.05, N = 3 SE +/- 7.41, N = 3 SE +/- 67.19, N = 3 18251.3 18352.4 18242.2 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 9 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 20 40 60 80 100 SE +/- 0.38, N = 3 SE +/- 0.65, N = 3 SE +/- 1.01, N = 3 76.60 75.02 75.75 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 9 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 4K 8K 12K 16K 20K SE +/- 14.54, N = 3 SE +/- 9.52, N = 3 SE +/- 9.12, N = 3 18226.5 18306.8 18301.3 1. (CC) gcc options: -O3
Zstd Compression Compression Level: 3 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 3 - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 900 1800 2700 3600 4500 SE +/- 48.30, N = 3 SE +/- 18.50, N = 3 SE +/- 34.06, N = 3 4166.4 4164.2 4174.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 3 - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 1200 2400 3600 4800 6000 SE +/- 15.22, N = 3 SE +/- 69.22, N = 3 SE +/- 27.50, N = 3 5752.0 5817.5 5710.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 8 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8 - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 300 600 900 1200 1500 SE +/- 15.03, N = 4 SE +/- 11.42, N = 3 SE +/- 16.40, N = 3 1263.1 1246.9 1239.9 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 8 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8 - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 1300 2600 3900 5200 6500 SE +/- 3.44, N = 4 SE +/- 10.51, N = 3 SE +/- 80.93, N = 3 6021.1 6003.7 6085.6 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 19 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 10 20 30 40 50 SE +/- 0.20, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 43.0 42.9 42.9 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 19 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 1100 2200 3300 4400 5500 SE +/- 16.61, N = 3 SE +/- 39.22, N = 3 SE +/- 59.53, N = 3 5245.8 5289.8 5358.5 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 3, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 3, Long Mode - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 300 600 900 1200 1500 SE +/- 0.96, N = 3 SE +/- 21.26, N = 13 SE +/- 12.66, N = 4 1140.5 1172.5 1160.7 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 3, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 3, Long Mode - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 1300 2600 3900 5200 6500 SE +/- 4.35, N = 3 SE +/- 36.48, N = 13 SE +/- 64.69, N = 4 6133.2 6237.7 6182.3 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 8, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8, Long Mode - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 200 400 600 800 1000 SE +/- 6.42, N = 3 SE +/- 6.83, N = 3 SE +/- 13.01, N = 4 1153.5 1131.0 1150.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 8, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8, Long Mode - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 1400 2800 4200 5600 7000 SE +/- 9.99, N = 3 SE +/- 17.81, N = 3 SE +/- 71.53, N = 4 6648.7 6366.2 6443.5 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 19, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Compression Speed 7600X AMD 7600X Ryzen 5 7600X 8 16 24 32 40 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 35.9 36.0 35.8 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 19, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Decompression Speed 7600X AMD 7600X Ryzen 5 7600X 1100 2200 3300 4400 5500 SE +/- 58.15, N = 3 SE +/- 7.55, N = 3 SE +/- 58.08, N = 3 5356.5 5261.5 5362.0 1. (CC) gcc options: -O3 -pthread -lz -llzma
AOM AV1 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K 7600X AMD 7600X Ryzen 5 7600X 0.0428 0.0856 0.1284 0.1712 0.214 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.19 0.19 0.19 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K 7600X AMD 7600X Ryzen 5 7600X 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 6.95 6.93 7.00 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K 7600X AMD 7600X Ryzen 5 7600X 8 16 24 32 40 SE +/- 0.16, N = 3 SE +/- 0.40, N = 3 SE +/- 0.36, N = 3 35.34 34.65 35.31 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K 7600X AMD 7600X Ryzen 5 7600X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 12.34 12.27 12.40 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K 7600X AMD 7600X Ryzen 5 7600X 10 20 30 40 50 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 SE +/- 0.19, N = 3 45.69 45.21 45.76 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K 7600X AMD 7600X Ryzen 5 7600X 15 30 45 60 75 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 68.41 68.27 68.59 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K 7600X AMD 7600X Ryzen 5 7600X 16 32 48 64 80 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 70.35 70.56 70.61 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p 7600X AMD 7600X Ryzen 5 7600X 0.144 0.288 0.432 0.576 0.72 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.63 0.64 0.64 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p 7600X AMD 7600X Ryzen 5 7600X 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 16.43 16.27 16.45 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p 7600X AMD 7600X Ryzen 5 7600X 14 28 42 56 70 SE +/- 0.64, N = 5 SE +/- 0.32, N = 3 SE +/- 0.56, N = 7 61.10 60.85 61.43 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p 7600X AMD 7600X Ryzen 5 7600X 11 22 33 44 55 SE +/- 0.36, N = 3 SE +/- 0.23, N = 3 SE +/- 0.17, N = 3 46.05 45.80 46.50 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p 7600X AMD 7600X Ryzen 5 7600X 30 60 90 120 150 SE +/- 0.17, N = 3 SE +/- 0.28, N = 3 SE +/- 0.29, N = 3 147.20 146.89 148.13 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p 7600X AMD 7600X Ryzen 5 7600X 40 80 120 160 200 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.24, N = 3 199.97 200.35 203.41 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p 7600X AMD 7600X Ryzen 5 7600X 50 100 150 200 250 SE +/- 0.31, N = 3 SE +/- 0.40, N = 3 SE +/- 0.88, N = 3 213.97 213.34 215.97 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating 7600X AMD 7600X Ryzen 5 7600X 20K 40K 60K 80K 100K SE +/- 78.24, N = 3 SE +/- 321.87, N = 3 SE +/- 71.42, N = 3 87369 87445 88231 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating 7600X AMD 7600X Ryzen 5 7600X 15K 30K 45K 60K 75K SE +/- 83.76, N = 3 SE +/- 251.42, N = 3 SE +/- 153.19, N = 3 69782 69814 69286 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.18 Build: defconfig 7600X AMD 7600X Ryzen 5 7600X 16 32 48 64 80 SE +/- 0.24, N = 3 SE +/- 0.20, N = 3 SE +/- 0.22, N = 3 72.63 72.50 72.60
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.18 Build: allmodconfig 7600X AMD 7600X Ryzen 5 7600X 200 400 600 800 1000 SE +/- 0.20, N = 3 SE +/- 0.34, N = 3 SE +/- 0.34, N = 3 909.71 907.74 908.87
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 1B 7600X AMD 7600X Ryzen 5 7600X 7 14 21 28 35 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 32.18 32.12 32.20
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M 7600X AMD 7600X Ryzen 5 7600X 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 14.68 14.64 14.63
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.879 1.758 2.637 3.516 4.395 SE +/- 0.00878, N = 3 SE +/- 0.00393, N = 3 SE +/- 0.00817, N = 3 3.90686 3.90572 3.90653 MIN: 3.69 MIN: 3.68 MIN: 3.67 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 1.0189 2.0378 3.0567 4.0756 5.0945 SE +/- 0.05009, N = 3 SE +/- 0.00696, N = 3 SE +/- 0.03315, N = 3 4.52836 4.46545 4.50878 MIN: 4.42 MIN: 4.4 MIN: 4.41 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.1627 0.3254 0.4881 0.6508 0.8135 SE +/- 0.000255, N = 3 SE +/- 0.000780, N = 3 SE +/- 0.000365, N = 3 0.723073 0.718908 0.721197 MIN: 0.7 MIN: 0.7 MIN: 0.7 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.2286 0.4572 0.6858 0.9144 1.143 SE +/- 0.00075, N = 3 SE +/- 0.00359, N = 3 SE +/- 0.00042, N = 3 1.01581 1.01114 1.00858 MIN: 0.96 MIN: 0.95 MIN: 0.95 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.3396 0.6792 1.0188 1.3584 1.698 SE +/- 0.00094, N = 3 SE +/- 0.00211, N = 3 SE +/- 0.00029, N = 3 1.50933 1.50628 1.50922 MIN: 1.46 MIN: 1.45 MIN: 1.46 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.5904 1.1808 1.7712 2.3616 2.952 SE +/- 0.02442, N = 3 SE +/- 0.00322, N = 3 SE +/- 0.02702, N = 3 2.61428 2.57299 2.62419 MIN: 2.51 MIN: 2.48 MIN: 2.51 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 2 4 6 8 10 SE +/- 0.00132, N = 3 SE +/- 0.00511, N = 3 SE +/- 0.00116, N = 3 7.46634 7.45978 7.46427 MIN: 7.37 MIN: 7.36 MIN: 7.36 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 2 4 6 8 10 SE +/- 0.06891, N = 4 SE +/- 0.09872, N = 15 SE +/- 0.08132, N = 15 5.93719 6.43429 6.02164 MIN: 5.45 MIN: 5.36 MIN: 5.39 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 1.1796 2.3592 3.5388 4.7184 5.898 SE +/- 0.00050, N = 3 SE +/- 0.00054, N = 3 SE +/- 0.00215, N = 3 5.24283 5.22702 5.23302 MIN: 5.04 MIN: 5.04 MIN: 5.04 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 2 4 6 8 10 SE +/- 0.02849, N = 3 SE +/- 0.02306, N = 3 SE +/- 0.03114, N = 3 7.20343 7.19157 7.19355 MIN: 7.09 MIN: 7.09 MIN: 7.09 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.2234 0.4468 0.6702 0.8936 1.117 SE +/- 0.000625, N = 3 SE +/- 0.000533, N = 3 SE +/- 0.000616, N = 3 0.992952 0.989745 0.990265 MIN: 0.97 MIN: 0.96 MIN: 0.96 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.2885 0.577 0.8655 1.154 1.4425 SE +/- 0.00390, N = 3 SE +/- 0.00100, N = 3 SE +/- 0.00410, N = 3 1.28226 1.27765 1.27889 MIN: 1.22 MIN: 1.22 MIN: 1.22 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 600 1200 1800 2400 3000 SE +/- 1.06, N = 3 SE +/- 1.95, N = 3 SE +/- 1.16, N = 3 2792.86 2785.40 2783.28 MIN: 2783.54 MIN: 2776.94 MIN: 2776.24 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 300 600 900 1200 1500 SE +/- 1.47, N = 3 SE +/- 0.37, N = 3 SE +/- 0.50, N = 3 1397.52 1395.35 1393.35 MIN: 1390.26 MIN: 1390.04 MIN: 1388.57 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 600 1200 1800 2400 3000 SE +/- 0.63, N = 3 SE +/- 0.85, N = 3 SE +/- 0.69, N = 3 2795.60 2793.63 2785.38 MIN: 2788.22 MIN: 2785.73 MIN: 2779.26 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.735 1.47 2.205 2.94 3.675 SE +/- 0.00070, N = 3 SE +/- 0.00103, N = 3 SE +/- 0.00064, N = 3 3.26664 3.25911 3.26658 MIN: 3.21 MIN: 3.21 MIN: 3.21 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 3 6 9 12 15 SE +/- 0.00227, N = 3 SE +/- 0.01700, N = 3 SE +/- 0.00214, N = 3 10.01230 10.01586 9.98316 MIN: 9.68 MIN: 9.75 MIN: 9.73 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.7207 1.4414 2.1621 2.8828 3.6035 SE +/- 0.00090, N = 3 SE +/- 0.00303, N = 3 SE +/- 0.00136, N = 3 3.20294 3.20059 3.19601 MIN: 3.01 MIN: 3.01 MIN: 3.01 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 300 600 900 1200 1500 SE +/- 0.51, N = 3 SE +/- 0.69, N = 3 SE +/- 0.39, N = 3 1395.46 1395.82 1392.22 MIN: 1390.49 MIN: 1388.95 MIN: 1387.93 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.3276 0.6552 0.9828 1.3104 1.638 SE +/- 0.00104, N = 3 SE +/- 0.00050, N = 3 SE +/- 0.00083, N = 3 1.45413 1.45410 1.45578 MIN: 1.43 MIN: 1.43 MIN: 1.43 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 600 1200 1800 2400 3000 SE +/- 1.05, N = 3 SE +/- 0.98, N = 3 SE +/- 0.43, N = 3 2791.43 2791.42 2783.98 MIN: 2784.03 MIN: 2783.53 MIN: 2777.25 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 300 600 900 1200 1500 SE +/- 0.24, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 3 1395.92 1392.22 1392.24 MIN: 1391.06 MIN: 1388.05 MIN: 1387.79 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.0724 0.1448 0.2172 0.2896 0.362 SE +/- 0.000234, N = 3 SE +/- 0.000407, N = 3 SE +/- 0.000237, N = 3 0.321988 0.321344 0.320953 MIN: 0.31 MIN: 0.31 MIN: 0.31 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU 7600X AMD 7600X Ryzen 5 7600X 0.1213 0.2426 0.3639 0.4852 0.6065 SE +/- 0.000859, N = 3 SE +/- 0.000256, N = 3 SE +/- 0.000735, N = 3 0.538902 0.537102 0.538376 MIN: 0.52 MIN: 0.51 MIN: 0.51 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Gzip Compression Linux Source Tree Archiving To .tar.gz OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz 7600X AMD 7600X Ryzen 5 7600X 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 26.68 26.70 26.71
Phoronix Test Suite v10.8.4