Ryzen 9 7950X New

AMD Ryzen 9 7950X 16-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/2210065-PTS-RYZEN97969&grs&sro.

Ryzen 9 7950X NewProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution7950XAMD 7950XRyzen 9 7950XAMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 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 11.2.0ext43840x2160OpenBenchmarking.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: amd-pstate performance (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 9 7950X Newaom-av1: Speed 6 Realtime - Bosphorus 1080ponednn: IP Shapes 3D - u8s8f32 - CPUsmhasher: t1ha0_aes_avx2 x86_64smhasher: t1ha2_atoncesmhasher: wyhashonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUsmhasher: Spooky32smhasher: fasthash32smhasher: FarmHash128aom-av1: Speed 0 Two-Pass - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 1080ponednn: IP Shapes 3D - bf16bf16bf16 - CPUaom-av1: Speed 9 Realtime - Bosphorus 4Kopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeaom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 4Ksmhasher: MeowHash x86_64 AES-NIsmhasher: FarmHash32 x86_64 AVXsmhasher: SHA3-256aom-av1: Speed 4 Two-Pass - Bosphorus 4Konednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 1080py-cruncher: 500Maom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 1080popenfoam: drivaerFastback, Medium Mesh Size - Execution Timeaom-av1: Speed 8 Realtime - Bosphorus 4Konednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUy-cruncher: 1Bopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUopenfoam: drivaerFastback, Small Mesh Size - Execution Timeonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUsmhasher: MeowHash x86_64 AES-NIsmhasher: t1ha0_aes_avx2 x86_64smhasher: FarmHash32 x86_64 AVXsmhasher: t1ha2_atoncesmhasher: FarmHash128smhasher: fasthash32smhasher: Spooky32smhasher: SHA3-256smhasher: wyhash7950XAMD 7950XRyzen 9 7950X99.630.32075083438.0717012.4125794.070.3900901.7164216943.877004.4815046.510.44155.221.5361480.8122.701881157.0153.4743810.4429886.26171.1013.853.8672925.1181.28132.829.14374.341.3331.012186.902367.600.1414450.5760980.4156131.724863.34514581.8431134.7219.853192.588852.33902581.8690.6258185.329282.709871.413951130.900.4167070.2296151134.95165.88418581.5105.6869755.45924.87432.48224.96958.05927.78033.7412316.70817.421115.290.3319381019.6916506.8924915.870.3878141.7693116408.996961.2914983.80.44158.541.533180.8422.26458160.0254.4944610.8229423.97169.1813.813.8397124.8780.91133.649.12874.891.3330.852187.738167.620.1417560.5769340.4149631.716493.3576581.8371129.7919.918191.817892.33742581.8960.6245975.346162.701811.412061133.970.417160.2295151136.72165.97036581.9455.6852154.53525.58133.15925.83858.19527.95834.6022341.5318.05896.370.34525384485.2417145.1325561.780.3770881.7106716910.157178.8715343.540.45157.151.5049382.4222.405985157.5353.4844645.6629850.04171.2613.963.8277925.0981.67132.449.20574.311.3431.062172.983968.050.1423510.5795570.413391.717843.36044579.3151132.9919.837191.81912.33003579.6920.6236545.334752.706451.409811131.50.4174440.229911135.53166.04686581.7095.6828756.09624.80631.8724.83959.35426.98933.9152325.36517.452OpenBenchmarking.org

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p7950XAMD 7950XRyzen 9 7950X306090120150SE +/- 0.21, N = 399.63115.2996.371. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.07770.15540.23310.31080.3885SE +/- 0.003480, N = 40.3207500.3319300.345253MIN: 0.29MIN: 0.31MIN: 0.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SMHasher

Hash: t1ha0_aes_avx2 x86_64

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_647950XAMD 7950XRyzen 9 7950X20K40K60K80K100KSE +/- 167.05, N = 383438.0781019.6984485.241. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: t1ha2_atonce

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha2_atonce7950XAMD 7950XRyzen 9 7950X4K8K12K16K20KSE +/- 2.87, N = 317012.4116506.8917145.131. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: wyhash

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: wyhash7950XAMD 7950XRyzen 9 7950X6K12K18K24K30KSE +/- 81.27, N = 325794.0724915.8725561.781. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.08780.17560.26340.35120.439SE +/- 0.002441, N = 30.3900900.3878140.377088MIN: 0.36MIN: 0.36MIN: 0.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.39810.79621.19431.59241.9905SE +/- 0.00105, N = 31.716421.769311.71067MIN: 1.68MIN: 1.68MIN: 1.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SMHasher

Hash: Spooky32

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: Spooky327950XAMD 7950XRyzen 9 7950X4K8K12K16K20KSE +/- 33.88, N = 316943.8716408.9916910.151. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: fasthash32

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: fasthash327950XAMD 7950XRyzen 9 7950X15003000450060007500SE +/- 17.08, N = 37004.486961.297178.871. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: FarmHash128

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash1287950XAMD 7950XRyzen 9 7950X3K6K9K12K15KSE +/- 8.31, N = 315046.5114983.8015343.541. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

AOM AV1

Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K7950XAMD 7950XRyzen 9 7950X0.10130.20260.30390.40520.5065SE +/- 0.00, N = 30.440.440.451. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p7950XAMD 7950XRyzen 9 7950X4080120160200SE +/- 1.44, N = 3155.22158.54157.151. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.34560.69121.03681.38241.728SE +/- 0.00543, N = 31.536141.533101.50493MIN: 1.45MIN: 1.48MIN: 1.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K7950XAMD 7950XRyzen 9 7950X20406080100SE +/- 0.05, N = 380.8180.8482.421. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Time7950XAMD 7950XRyzen 9 7950X51015202522.7022.2622.411. (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

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p7950XAMD 7950XRyzen 9 7950X4080120160200SE +/- 0.39, N = 3157.01160.02157.531. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K7950XAMD 7950XRyzen 9 7950X1224364860SE +/- 0.13, N = 353.4754.4953.481. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

SMHasher

Hash: MeowHash x86_64 AES-NI

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NI7950XAMD 7950XRyzen 9 7950X10K20K30K40K50KSE +/- 409.19, N = 343810.4444610.8244645.661. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: FarmHash32 x86_64 AVX

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVX7950XAMD 7950XRyzen 9 7950X6K12K18K24K30KSE +/- 276.80, N = 329886.2629423.9729850.041. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: SHA3-256

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: SHA3-2567950XAMD 7950XRyzen 9 7950X4080120160200SE +/- 0.74, N = 3171.10169.18171.261. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K7950XAMD 7950XRyzen 9 7950X48121620SE +/- 0.05, N = 313.8513.8113.961. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.87011.74022.61033.48044.3505SE +/- 0.00754, N = 33.867293.839713.82779MIN: 3.73MIN: 3.72MIN: 3.691. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K7950XAMD 7950XRyzen 9 7950X612182430SE +/- 0.09, N = 325.1124.8725.091. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K7950XAMD 7950XRyzen 9 7950X20406080100SE +/- 0.31, N = 381.2880.9181.671. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p7950XAMD 7950XRyzen 9 7950X306090120150SE +/- 0.71, N = 3132.82133.64132.441. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500M7950XAMD 7950XRyzen 9 7950X3691215SE +/- 0.013, N = 39.1439.1289.205

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p7950XAMD 7950XRyzen 9 7950X20406080100SE +/- 0.33, N = 374.3474.8974.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p7950XAMD 7950XRyzen 9 7950X0.30150.6030.90451.2061.5075SE +/- 0.01, N = 31.331.331.341. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p7950XAMD 7950XRyzen 9 7950X714212835SE +/- 0.03, N = 331.0130.8531.061. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Time7950XAMD 7950XRyzen 9 7950X50010001500200025002186.902187.742172.981. (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

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K7950XAMD 7950XRyzen 9 7950X1530456075SE +/- 0.33, N = 367.6067.6268.051. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.0320.0640.0960.1280.16SE +/- 0.000050, N = 30.1414450.1417560.142351MIN: 0.13MIN: 0.13MIN: 0.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.13040.26080.39120.52160.652SE +/- 0.002189, N = 30.5760980.5769340.579557MIN: 0.56MIN: 0.56MIN: 0.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.09350.1870.28050.3740.4675SE +/- 0.000200, N = 30.4156130.4149630.413390MIN: 0.4MIN: 0.4MIN: 0.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.38810.77621.16431.55241.9405SE +/- 0.00708, N = 31.724861.716491.71784MIN: 1.52MIN: 1.54MIN: 1.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.75611.51222.26833.02443.7805SE +/- 0.00758, N = 33.345143.357603.36044MIN: 3.29MIN: 3.31MIN: 3.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X130260390520650SE +/- 0.94, N = 3581.84581.84579.32MIN: 576.96MIN: 578.52MIN: 576.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU7950XAMD 7950XRyzen 9 7950X2004006008001000SE +/- 0.65, N = 31134.721129.791132.99MIN: 1130.23MIN: 1127.1MIN: 1129.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1B7950XAMD 7950XRyzen 9 7950X510152025SE +/- 0.02, N = 319.8519.9219.84

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Time7950XAMD 7950XRyzen 9 7950X4080120160200192.59191.82191.821. (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

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.52631.05261.57892.10522.6315SE +/- 0.00058, N = 32.339022.337422.33003MIN: 2.31MIN: 2.29MIN: 2.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU7950XAMD 7950XRyzen 9 7950X130260390520650SE +/- 0.60, N = 3581.87581.90579.69MIN: 577.99MIN: 578.14MIN: 575.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.14080.28160.42240.56320.704SE +/- 0.000380, N = 30.6258180.6245970.623654MIN: 0.59MIN: 0.59MIN: 0.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X1.20292.40583.60874.81166.0145SE +/- 0.00998, N = 35.329285.346165.33475MIN: 5.26MIN: 5.27MIN: 5.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.60971.21941.82912.43883.0485SE +/- 0.00639, N = 32.709872.701812.70645MIN: 2.5MIN: 2.5MIN: 2.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.31810.63620.95431.27241.5905SE +/- 0.00284, N = 31.413951.412061.40981MIN: 1.36MIN: 1.39MIN: 1.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X2004006008001000SE +/- 1.82, N = 31130.901133.971131.50MIN: 1123.41MIN: 1130.41MIN: 1127.341. (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.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.09390.18780.28170.37560.4695SE +/- 0.000238, N = 30.4167070.4171600.417444MIN: 0.41MIN: 0.41MIN: 0.411. (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.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU7950XAMD 7950XRyzen 9 7950X0.05170.10340.15510.20680.2585SE +/- 0.000278, N = 30.2296150.2295150.229910MIN: 0.22MIN: 0.22MIN: 0.221. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X2004006008001000SE +/- 0.51, N = 31134.951136.721135.53MIN: 1130.38MIN: 1132.91MIN: 1132.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Time7950XAMD 7950XRyzen 9 7950X4080120160200165.88165.97166.051. (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

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X130260390520650SE +/- 0.48, N = 3581.51581.95581.71MIN: 577.55MIN: 578.78MIN: 578.711. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU7950XAMD 7950XRyzen 9 7950X1.27962.55923.83885.11846.398SE +/- 0.00171, N = 35.686975.685215.68287MIN: 5.63MIN: 5.62MIN: 5.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SMHasher

Hash: MeowHash x86_64 AES-NI

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NI7950XAMD 7950XRyzen 9 7950X1326395265SE +/- 0.47, N = 355.4654.5456.101. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: t1ha0_aes_avx2 x86_64

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_647950XAMD 7950XRyzen 9 7950X612182430SE +/- 0.00, N = 324.8725.5824.811. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: FarmHash32 x86_64 AVX

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVX7950XAMD 7950XRyzen 9 7950X816243240SE +/- 0.31, N = 332.4833.1631.871. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: t1ha2_atonce

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: t1ha2_atonce7950XAMD 7950XRyzen 9 7950X612182430SE +/- 0.00, N = 324.9725.8424.841. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: FarmHash128

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash1287950XAMD 7950XRyzen 9 7950X1326395265SE +/- 0.03, N = 358.0658.2059.351. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: fasthash32

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: fasthash327950XAMD 7950XRyzen 9 7950X714212835SE +/- 0.07, N = 327.7827.9626.991. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: Spooky32

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: Spooky327950XAMD 7950XRyzen 9 7950X816243240SE +/- 0.22, N = 333.7434.6033.921. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: SHA3-256

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: SHA3-2567950XAMD 7950XRyzen 9 7950X5001000150020002500SE +/- 6.58, N = 32316.712341.532325.371. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: wyhash

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: wyhash7950XAMD 7950XRyzen 9 7950X48121620SE +/- 0.02, N = 317.4218.0617.451. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects


Phoronix Test Suite v10.8.4