ryzen-upgrade-2024

AMD Ryzen 5 2600 Six-Core testing with a Gigabyte X470 AORUS ULTRA GAMING-CF (F50 BIOS) and ASUS NVIDIA GeForce GTX 1050 Ti 4GB on Ubuntu 23.10 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 2412181-NE-RYZENUPGR81
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AMD Ryzen 5 2600 Six-Core
December 17
  1 Hour, 46 Minutes
AMD Ryzen 5 2600 Six-Core - ASUS NVIDIA GeForce GTX
December 17
  6 Minutes
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ryzen-upgrade-2024 OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads)Gigabyte X470 AORUS ULTRA GAMING-CF (F50 BIOS)AMD 17h2 x 16GB DDR4-2933MT/s CMK32GX4M2E3200C161024GB Lexar SSD NM620 1TB + 250GB Samsung SSD 850 + 2000GB Seagate ST2000DM006-2DM1ASUS NVIDIA GeForce GTX 1050 Ti 4GBNVIDIA GP107GL HD AudioQ27B3MAIntel I211Ubuntu 23.106.5.0-44-generic (x86_64)X Server 1.21.1.7NVIDIA4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits)OpenCL 3.0 CUDA 12.2.148GCC 13.2.0 + Clang 16.0.6 + CUDA 11.2ext44480x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionRyzen-upgrade-2024 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,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x800820d- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + 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; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

ryzen-upgrade-2024 svt-av1: Preset 3 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 4Ksvt-av1: Preset 5 - Bosphorus 1080ponednn: Recurrent Neural Network Training - CPUsysbench: CPUvpxenc: Speed 0 - Bosphorus 1080ponednn: Recurrent Neural Network Inference - CPUmkl-dnn: IP Batch All - f32mkl-dnn: IP Batch All - u8s8f32compress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Recurrent Neural Network Inference - f32vpxenc: Speed 5 - Bosphorus 1080ponednn: Deconvolution Batch shapes_1d - CPUmkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32svt-av1: Preset 13 - Bosphorus 1080pmkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch 1D - u8s8f32onednn: IP Shapes 1D - CPUsysbench: RAM / Memorysvt-hevc: 7 - Bosphorus 1080ponednn: IP Shapes 3D - CPUsvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080ponednn: Convolution Batch Shapes Auto - CPUsystem-decompress-xz: onednn: Deconvolution Batch shapes_3d - CPUmkl-dnn: Deconvolution Batch deconv_3d - f32ctx-clock: Context Switch Timemkl-dnn: IP Batch 1D - bf16bf16bf16AMD Ryzen 5 2600 Six-CoreAMD Ryzen 5 2600 Six-Core - ASUS NVIDIA GeForce GTX5.9071.1120.5168921.906.884517.60139.693100.590152.216638.06564.262717.4713.9617203.01711.0828219.59516.20019.359667.825209.3207263.0513.275474.5890.3592.8024.05993.84119.298119.218511497.777986.84476OpenBenchmarking.org

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.3Encoder Mode: Preset 3 - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core1.32912.65823.98735.31646.6455SE +/- 0.004, N = 35.907

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KAMD Ryzen 5 2600 Six-Core0.24980.49960.74940.99921.249SE +/- 0.00, N = 31.111. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.3Encoder Mode: Preset 5 - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core510152025SE +/- 0.03, N = 320.52

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUAMD Ryzen 5 2600 Six-Core2K4K6K8K10KSE +/- 24.08, N = 38921.90MIN: 8807.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUAMD Ryzen 5 2600 Six-Core - ASUS NVIDIA GeForce GTX2K4K6K8K10KSE +/- 0.17, N = 311497.771. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core246810SE +/- 0.02, N = 36.881. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Inference - Engine: CPUAMD Ryzen 5 2600 Six-Core10002000300040005000SE +/- 29.42, N = 34517.60MIN: 4478.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32AMD Ryzen 5 2600 Six-Core306090120150SE +/- 0.43, N = 3139.69MIN: 136.781. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: u8s8f32AMD Ryzen 5 2600 Six-Core20406080100SE +/- 1.53, N = 3100.59MIN: 96.981. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

XZ Compression

This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9AMD Ryzen 5 2600 Six-Core1224364860SE +/- 0.07, N = 352.221. (CC) gcc options: -fvisibility=hidden -O2

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32AMD Ryzen 5 2600 Six-Core140280420560700SE +/- 0.14, N = 3638.07MIN: 633.771. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32AMD Ryzen 5 2600 Six-Core1428425670SE +/- 0.45, N = 364.26MIN: 62.431. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core48121620SE +/- 0.12, N = 317.471. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUAMD Ryzen 5 2600 Six-Core48121620SE +/- 0.06, N = 313.96MIN: 13.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32AMD Ryzen 5 2600 Six-Core4080120160200SE +/- 0.51, N = 3203.02MIN: 196.541. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32AMD Ryzen 5 2600 Six-Core3691215SE +/- 0.03, N = 311.08MIN: 10.91. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.3Encoder Mode: Preset 13 - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core50100150200250SE +/- 0.42, N = 3219.60

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32AMD Ryzen 5 2600 Six-Core48121620SE +/- 0.40, N = 1516.20MIN: 15.011. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32AMD Ryzen 5 2600 Six-Core3691215SE +/- 0.01302, N = 39.35966MIN: 9.121. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32AMD Ryzen 5 2600 Six-Core246810SE +/- 0.10169, N = 37.82520MIN: 7.621. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUAMD Ryzen 5 2600 Six-Core3691215SE +/- 0.04859, N = 39.32072MIN: 9.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / MemoryAMD Ryzen 5 2600 Six-Core - ASUS NVIDIA GeForce GTX2K4K6K8K10KSE +/- 10.71, N = 37986.841. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core1428425670SE +/- 0.95, N = 363.051. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 3D - Engine: CPUAMD Ryzen 5 2600 Six-Core3691215SE +/- 0.00, N = 313.28MIN: 13.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core20406080100SE +/- 0.20, N = 374.581. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core20406080100SE +/- 0.43, N = 390.351. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pAMD Ryzen 5 2600 Six-Core20406080100SE +/- 0.12, N = 392.801. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Convolution Batch Shapes Auto - Engine: CPUAMD Ryzen 5 2600 Six-Core612182430SE +/- 0.01, N = 324.06MIN: 23.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

System XZ Decompression

This test measures the time to decompress a Linux kernel tarball using XZ. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem XZ DecompressionAMD Ryzen 5 2600 Six-Core0.86421.72842.59263.45684.321SE +/- 0.011, N = 33.841

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_3d - Engine: CPUAMD Ryzen 5 2600 Six-Core510152025SE +/- 0.16, N = 319.30MIN: 17.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32AMD Ryzen 5 2600 Six-Core510152025SE +/- 0.17, N = 319.22MIN: 16.951. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lrt -ldl

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeAMD Ryzen 5 2600 Six-Core - ASUS NVIDIA GeForce GTX100200300400500SE +/- 0.00, N = 3476

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16

AMD Ryzen 5 2600 Six-Core: The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16

AMD Ryzen 5 2600 Six-Core: The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32

AMD Ryzen 5 2600 Six-Core: The test quit with a non-zero exit status.

Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16

AMD Ryzen 5 2600 Six-Core: The test quit with a non-zero exit status.

Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16

AMD Ryzen 5 2600 Six-Core: The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Training - Data Type: u8s8f32

AMD Ryzen 5 2600 Six-Core: The test quit with a non-zero exit status.

Harness: IP Batch All - Data Type: bf16bf16bf16

AMD Ryzen 5 2600 Six-Core: The test quit with a non-zero exit status.

Harness: IP Batch 1D - Data Type: bf16bf16bf16

AMD Ryzen 5 2600 Six-Core: The test quit with a non-zero exit status.