Arctic 4U-M Cooling Threadripper PRO 5965WX

AMD Ryzen Threadripper PRO 5965WX cooling tests by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2311246-NE-HSF13583800
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Dynatron A38
November 23 2023
  11 Hours, 13 Minutes
Arctic Freezer 4U-M
November 23 2023
  8 Hours, 23 Minutes
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  9 Hours, 48 Minutes
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Dynatron A38

Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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

Arctic Freezer 4U-M

OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Arctic 4U-M Cooling Threadripper PRO 5965WXOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads)ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS)AMD Starship/Matisse128GB2048GB SOLIDIGM SSDPFKKW020X7ASUS NVIDIA NV106 2GBAMD Starship/MatisseVA24312 x Intel X550 + Intel Wi-Fi 6 AX200Ubuntu 23.106.5.0-10-generic (x86_64)6.5.0-13-generic (x86_64)GNOME Shell 45.0X Server + Waylandnouveau4.3 Mesa 23.2.1-1ubuntu3GCC 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionArctic 4U-M Cooling Threadripper PRO 5965WX 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 schedutil (Boost: Enabled) - CPU Microcode: 0xa008205- Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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

Dynatron A38 vs. Arctic Freezer 4U-M ComparisonPhoronix Test SuiteBaseline+157.4%+157.4%+314.8%+314.8%+472.2%+472.2%629.4%422.1%326.8%298.3%85.2%46.3%30.5%29.7%28.7%24.5%22.2%20.1%17.3%16.8%13.2%11.2%10.2%9.4%6.8%5.9%5.9%4.1%4.1%3.9%3.8%3.8%3.7%3.7%3.5%3.4%3.2%3.2%3.1%3.1%3%2.9%2.6%2.4%2.1%ATPase Simulation - 327,506 Atomse.G.B.S - 1200clover_bme.G.B.S - 2400Li2_STO_aeMPI CPU - water_GMX50_bareS.F.P.R128P.P.A20k AtomsRhodopsin Protein6432Chrysler Neon 1Md.S.M.S - Execution TimeD.Rd.S.M.S - Mesh Timeclover_bm16i.i.1.C.P.DQ.7.C.E.7Q.9.C.E.7Pabellon Barcelona - CPU-OnlyFishy Cat - CPU-Onlyi.i.1.C.P.DBMW27 - CPU-OnlyallmodconfigClassroom - CPU-OnlySHA256Barbershop - CPU-OnlyRSA4096NinjaSHA512RSA4096Q.1.C.E.5Unix Makefilesdefconfigclover_bm64_shortTime To CompileNAMDeasyWaveCloverLeafeasyWaveQMCPACKGROMACSACES DGEMMlibxsmmTimed MrBayes AnalysisLAMMPS Molecular Dynamics SimulatorLAMMPS Molecular Dynamics SimulatorlibxsmmlibxsmmOpenRadiossOpenFOAM7-Zip CompressionOpenFOAMCloverLeafXcompact3d Incompact3dWebP2 Image EncodeWebP2 Image EncodeBlenderBlenderXcompact3d Incompact3dBlenderTimed Linux Kernel CompilationBlenderOpenSSLBlenderAlgebraic Multi-Grid BenchmarkOpenSSLTimed LLVM CompilationOpenSSLOpenSSLWebP2 Image EncodeTimed LLVM CompilationTimed Linux Kernel CompilationCloverLeafTimed FFmpeg CompilationDynatron A38Arctic Freezer 4U-M

Arctic 4U-M Cooling Threadripper PRO 5965WXopenssl: SHA512openssl: SHA256webp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7libxsmm: 32openssl: RSA4096webp2: Quality 100, Compression Effort 5libxsmm: 128webp2: Quality 100, Lossless Compressionopenradioss: Chrysler Neon 1Mmrbayes: Primate Phylogeny Analysiscloverleaf: clover_bmcloverleaf: clover_bm64_shortcloverleaf: clover_bm16gromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlibxsmm: 64openssl: RSA4096lammps: 20k Atomsnamd: ATPase Simulation - 327,506 Atomsmt-dgemm: Sustained Floating-Point Rateeasywave: e2Asean Grid + BengkuluSept2007 Source - 1200amg: easywave: e2Asean Grid + BengkuluSept2007 Source - 2400openfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeqmcpack: Li2_STO_aeincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionbuild-ffmpeg: Time To Compilecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-gcc: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlybuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-wasmer: Time To Compileduckdb: IMDBduckdb: TPC-H ParquetDynatron A38Arctic Freezer 4U-M130886289434038258911311.130.340.17166.1481040.49.69546.80.04626.12111.10581.60106.56958.212.36015.354322.17381.715.5754.697118.951072310.444636289833662.18428.157686104.27097225.419.2453964241.213284823.614192764200498296.037343.725897.43249.980508.42949.14128.4059.53153.69485.2515.844232.85338.435110.731132.316134996823974189460580011.000.360.18194.8496532.09.98709.30.04535.9586.34619.12104.06875.993.45218.769386.87607.119.3960.6439911.67705159.466657995233166.24525.54966292.116231121.718.6572292939.673058823.125194336222939286.927334.089905.66948.713489.86547.34123.7657.21147.70468.6515.764232.18338.421112.190132.639OpenBenchmarking.org

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. The system/openssl test profiles relies on benchmarking the system/OS-supplied openssl binary rather than the pts/openssl test profile that uses the locally-built OpenSSL for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512Arctic Freezer 4U-MDynatron A383000M6000M9000M12000M15000MSE +/- 4980377.65, N = 3SE +/- 4299469.78, N = 313499682397130886289431. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)
MinAvgMaxArctic Freezer 4U-M30.6280.6288.9Dynatron A3868.2281.8288.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSLCPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 51445 Joules per run.2. Dynatron A38: Approximate power consumption of 51568 Joules per run.
MinAvgMaxArctic Freezer 4U-M47.074.175.9Dynatron A3868.187.089.4OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSLCPU Temperature Monitor20406080100

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA256Arctic Freezer 4U-MDynatron A389000M18000M27000M36000M45000MSE +/- 64061545.90, N = 3SE +/- 25614013.35, N = 341894605800403825891131. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)
MinAvgMaxArctic Freezer 4U-M28.1280.8288.9Dynatron A3865.3281.5288.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSLCPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 51293 Joules per run.2. Dynatron A38: Approximate power consumption of 51616 Joules per run.
MinAvgMaxArctic Freezer 4U-M45.174.076.9Dynatron A3865.887.390.3OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSLCPU Temperature Monitor20406080100

Algorithm: AES-128-GCM

Dynatron A38: The test run did not produce a result. E: 4057F2ADFB7F0000:error:1C800066:Provider routines:ossl_gcm_stream_update:cipher operation failed:../providers/implementations/ciphers/ciphercommon_gcm.c:320:

Arctic Freezer 4U-M: The test run did not produce a result. E: 40D738FA8D7F0000:error:1C800066:Provider routines:ossl_gcm_stream_update:cipher operation failed:../providers/implementations/ciphers/ciphercommon_gcm.c:320:

Algorithm: ChaCha20

Dynatron A38: The test run did not produce a result.

Arctic Freezer 4U-M: The test run did not produce a result.

Algorithm: AES-256-GCM

Dynatron A38: The test run did not produce a result. E: 4047D60EBF7F0000:error:1C800066:Provider routines:ossl_gcm_stream_update:cipher operation failed:../providers/implementations/ciphers/ciphercommon_gcm.c:320:

Arctic Freezer 4U-M: The test run did not produce a result. E: 40D78F50367F0000:error:1C800066:Provider routines:ossl_gcm_stream_update:cipher operation failed:../providers/implementations/ciphers/ciphercommon_gcm.c:320:

Algorithm: ChaCha20-Poly1305

Dynatron A38: The test run did not produce a result.

Arctic Freezer 4U-M: The test run did not produce a result.

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultDynatron A38Arctic Freezer 4U-M3691215SE +/- 0.11, N = 15SE +/- 0.08, N = 1011.1311.001. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxArctic Freezer 4U-M25.788.1276.7Dynatron A3862.0113.3280.4OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 564 Joules per run.2. Dynatron A38: Approximate power consumption of 717 Joules per run.
MinAvgMaxArctic Freezer 4U-M34.652.360.5Dynatron A3852.365.170.4OpenBenchmarking.orgCelsius, Fewer Is BetterWebP2 Image Encode 20220823CPU Temperature Monitor20406080100

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7Arctic Freezer 4U-MDynatron A380.0810.1620.2430.3240.405SE +/- 0.00, N = 3SE +/- 0.00, N = 30.360.341. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxArctic Freezer 4U-M29.6246.3288.9Dynatron A3863.6249.8288.9OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 17484 Joules per run.2. Dynatron A38: Approximate power consumption of 18402 Joules per run.
MinAvgMaxArctic Freezer 4U-M35.068.777.6Dynatron A3853.882.192.5OpenBenchmarking.orgCelsius, Fewer Is BetterWebP2 Image Encode 20220823CPU Temperature Monitor20406080100

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7Arctic Freezer 4U-MDynatron A380.04050.0810.12150.1620.2025SE +/- 0.00, N = 3SE +/- 0.00, N = 30.180.171. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxArctic Freezer 4U-M29.4261.7288.9Dynatron A3863.8264.8288.9OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 36461 Joules per run.2. Dynatron A38: Approximate power consumption of 38309 Joules per run.
MinAvgMaxArctic Freezer 4U-M41.873.180.6Dynatron A3860.186.395.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP2 Image Encode 20220823CPU Temperature Monitor20406080100

libxsmm

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

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32Arctic Freezer 4U-MDynatron A384080120160200SE +/- 0.32, N = 3SE +/- 0.24, N = 3194.8166.11. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
MinAvgMaxArctic Freezer 4U-M29.9199.0230.7Dynatron A3865.9204.4225.3OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor601201802403001. Arctic Freezer 4U-M: Approximate power consumption of 6766 Joules per run.2. Dynatron A38: Approximate power consumption of 8108 Joules per run.
MinAvgMaxArctic Freezer 4U-M40.954.156.5Dynatron A3859.665.969.5OpenBenchmarking.orgCelsius, Fewer Is Betterlibxsmm 2-1.17-3645CPU Temperature Monitor20406080100

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. The system/openssl test profiles relies on benchmarking the system/OS-supplied openssl binary rather than the pts/openssl test profile that uses the locally-built OpenSSL for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096Arctic Freezer 4U-MDynatron A38110K220K330K440K550KSE +/- 840.99, N = 3SE +/- 758.27, N = 3496532.0481040.41. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)
MinAvgMaxArctic Freezer 4U-M30.0269.9288.9Dynatron A3865.0272.6288.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSLCPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 17271 Joules per run.2. Dynatron A38: Approximate power consumption of 17449 Joules per run.
MinAvgMaxArctic Freezer 4U-M36.370.974.5Dynatron A3854.483.387.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSLCPU Temperature Monitor20406080100

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5Arctic Freezer 4U-MDynatron A383691215SE +/- 0.02, N = 10SE +/- 0.02, N = 109.989.691. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxArctic Freezer 4U-M26.0117.8288.6Dynatron A3863.6143.8286.6OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 777 Joules per run.2. Dynatron A38: Approximate power consumption of 963 Joules per run.
MinAvgMaxArctic Freezer 4U-M43.460.968.3Dynatron A3862.373.177.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP2 Image Encode 20220823CPU Temperature Monitor20406080100

libxsmm

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

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128Arctic Freezer 4U-MDynatron A38150300450600750SE +/- 0.22, N = 3SE +/- 0.47, N = 3709.3546.81. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
MinAvgMaxArctic Freezer 4U-M30.9276.1288.9Dynatron A3866.5283.0289.2OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 83380 Joules per run.2. Dynatron A38: Approximate power consumption of 104885 Joules per run.
MinAvgMaxArctic Freezer 4U-M43.573.275.3Dynatron A3863.187.690.3OpenBenchmarking.orgCelsius, Fewer Is Betterlibxsmm 2-1.17-3645CPU Temperature Monitor20406080100

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionArctic Freezer 4U-MDynatron A380.0090.0180.0270.0360.045SE +/- 0.00, N = 3SE +/- 0.00, N = 30.040.041. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorArctic Freezer 4U-MDynatron A3850100150200250Min: 22.24 / Avg: 250.73 / Max: 289.16Min: 36.82 / Avg: 254.48 / Max: 289.161. Arctic Freezer 4U-M: Approximate power consumption of 166151 Joules per run.2. Dynatron A38: Approximate power consumption of 173728 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP2 Image Encode 20220823CPU Temperature MonitorArctic Freezer 4U-MDynatron A3820406080100Min: 39 / Avg: 73.23 / Max: 83.13Min: 55.75 / Avg: 85.88 / Max: 95.25

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MArctic Freezer 4U-MDynatron A38140280420560700SE +/- 10.98, N = 9SE +/- 3.73, N = 3535.95626.12
OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorArctic Freezer 4U-MDynatron A3850100150200250Min: 28.54 / Avg: 240.73 / Max: 277.89Min: 68.34 / Avg: 272.54 / Max: 286.541. Arctic Freezer 4U-M: Approximate power consumption of 146366 Joules per run.2. Dynatron A38: Approximate power consumption of 177423 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenRadioss 2023.09.15CPU Temperature MonitorArctic Freezer 4U-MDynatron A3820406080100Min: 47.5 / Avg: 67.46 / Max: 75.25Min: 61.13 / Avg: 88.9 / Max: 93.63

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisArctic Freezer 4U-MDynatron A3820406080100SE +/- 0.91, N = 3SE +/- 1.42, N = 1586.35111.111. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
OpenBenchmarking.orgWatts, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Power Consumption MonitorDynatron A38Arctic Freezer 4U-M50100150200250Min: 64.25 / Avg: 239.06 / Max: 288.87Min: 28.98 / Avg: 270.62 / Max: 288.61. Dynatron A38: Approximate power consumption of 27412 Joules per run.2. Arctic Freezer 4U-M: Approximate power consumption of 24446 Joules per run.
MinAvgMaxArctic Freezer 4U-M41.572.577.3Dynatron A3859.984.993.9OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Temperature Monitor20406080100

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bmArctic Freezer 4U-MDynatron A3820406080100SE +/- 0.04, N = 3SE +/- 0.07, N = 319.1281.601. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMaxDynatron A3865.3186.3195.7Arctic Freezer 4U-M28.1226.3272.5OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor701402102803501. Dynatron A38: Approximate power consumption of 15901 Joules per run.2. Arctic Freezer 4U-M: Approximate power consumption of 5129 Joules per run.
MinAvgMaxArctic Freezer 4U-M47.362.766.1Dynatron A3865.068.772.9OpenBenchmarking.orgCelsius, Fewer Is BetterCloverLeaf 1.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortArctic Freezer 4U-MDynatron A3820406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3104.06106.561. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMaxArctic Freezer 4U-M29.9197.0209.2Dynatron A3866.9206.2216.3OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor601201802403001. Arctic Freezer 4U-M: Approximate power consumption of 21411 Joules per run.2. Dynatron A38: Approximate power consumption of 22961 Joules per run.
MinAvgMaxArctic Freezer 4U-M44.355.656.9Dynatron A3859.966.268.4OpenBenchmarking.orgCelsius, Fewer Is BetterCloverLeaf 1.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16Arctic Freezer 4U-MDynatron A382004006008001000SE +/- 0.32, N = 3SE +/- 0.13, N = 3875.99958.211. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorArctic Freezer 4U-MDynatron A384080120160200Min: 30.36 / Avg: 203.3 / Max: 209.48Min: 65.24 / Avg: 208.14 / Max: 213.031. Arctic Freezer 4U-M: Approximate power consumption of 177818 Joules per run.2. Dynatron A38: Approximate power consumption of 199051 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterCloverLeaf 1.3CPU Temperature MonitorArctic Freezer 4U-MDynatron A381428425670Min: 40.63 / Avg: 55.73 / Max: 56.63Min: 60 / Avg: 66.5 / Max: 69.88

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareArctic Freezer 4U-MDynatron A380.77671.55342.33013.10683.8835SE +/- 0.134, N = 12SE +/- 0.191, N = 153.4522.3601. (CXX) g++ options: -O3
MinAvgMaxArctic Freezer 4U-M27.3254.2288.9Dynatron A3868.3271.9288.9OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 15254 Joules per run.2. Dynatron A38: Approximate power consumption of 22492 Joules per run.
MinAvgMaxArctic Freezer 4U-M48.573.281.1Dynatron A3869.690.294.3OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2023CPU Temperature Monitor20406080100

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinArctic Freezer 4U-MDynatron A38510152025SE +/- 0.24, N = 15SE +/- 0.11, N = 1518.7715.351. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxArctic Freezer 4U-M28.888.7286.2Dynatron A3865.1122.1288.8OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 503 Joules per run.2. Dynatron A38: Approximate power consumption of 724 Joules per run.
MinAvgMaxArctic Freezer 4U-M46.058.469.3Dynatron A3859.069.474.3OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Temperature Monitor20406080100

libxsmm

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

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64Arctic Freezer 4U-MDynatron A3880160240320400SE +/- 0.27, N = 3SE +/- 0.40, N = 3386.8322.11. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
MinAvgMaxDynatron A3866.7242.6270.6Arctic Freezer 4U-M29.5244.9281.7OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor701402102803501. Dynatron A38: Approximate power consumption of 9784 Joules per run.2. Arctic Freezer 4U-M: Approximate power consumption of 8327 Joules per run.
MinAvgMaxArctic Freezer 4U-M40.561.866.0Dynatron A3862.674.277.4OpenBenchmarking.orgCelsius, Fewer Is Betterlibxsmm 2-1.17-3645CPU Temperature Monitor20406080100

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. The system/openssl test profiles relies on benchmarking the system/OS-supplied openssl binary rather than the pts/openssl test profile that uses the locally-built OpenSSL for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096Arctic Freezer 4U-MDynatron A3816003200480064008000SE +/- 24.53, N = 3SE +/- 15.60, N = 37607.17381.71. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsArctic Freezer 4U-MDynatron A38510152025SE +/- 0.00, N = 3SE +/- 0.18, N = 919.4015.581. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorArctic Freezer 4U-MDynatron A3850100150200250Min: 24.24 / Avg: 283.82 / Max: 288.93Min: 64.3 / Avg: 284.88 / Max: 289.191. Arctic Freezer 4U-M: Approximate power consumption of 127059 Joules per run.2. Dynatron A38: Approximate power consumption of 158553 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Temperature MonitorArctic Freezer 4U-MDynatron A3820406080100Min: 38.88 / Avg: 76.64 / Max: 78.13Min: 57.13 / Avg: 91.35 / Max: 94.25

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsArctic Freezer 4U-MDynatron A381.05682.11363.17044.22725.284SE +/- 0.00037, N = 3SE +/- 0.09905, N = 120.643994.69711
MinAvgMaxArctic Freezer 4U-M31.2256.6288.9Dynatron A3868.2282.1295.5OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 9153 Joules per run.2. Dynatron A38: Approximate power consumption of 59179 Joules per run.
MinAvgMaxArctic Freezer 4U-M46.671.374.1Dynatron A3868.191.293.4OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateArctic Freezer 4U-MDynatron A383691215SE +/- 0.131480, N = 4SE +/- 0.091307, N = 311.6770518.9510721. (CC) gcc options: -O3 -march=native -fopenmp
MinAvgMaxDynatron A3867.2210.4288.9Arctic Freezer 4U-M24.5231.8289.2OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor701402102803501. Dynatron A38: Approximate power consumption of 6242 Joules per run.2. Arctic Freezer 4U-M: Approximate power consumption of 5506 Joules per run.
MinAvgMaxArctic Freezer 4U-M40.458.061.8Dynatron A3864.168.772.1OpenBenchmarking.orgCelsius, Fewer Is BetterACES DGEMM 1.0CPU Temperature Monitor20406080100

easyWave

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

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200Arctic Freezer 4U-MDynatron A3870140210280350SE +/- 0.37, N = 3SE +/- 1.26, N = 359.47310.441. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxDynatron A3865.0161.9172.8Arctic Freezer 4U-M29.8167.7188.8OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor501001502002501. Dynatron A38: Approximate power consumption of 51009 Joules per run.2. Arctic Freezer 4U-M: Approximate power consumption of 10899 Joules per run.
MinAvgMaxArctic Freezer 4U-M35.453.756.6Dynatron A3856.162.466.1OpenBenchmarking.orgCelsius, Fewer Is BettereasyWave r34CPU Temperature Monitor20406080100

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Arctic Freezer 4U-MDynatron A38140M280M420M560M700MSE +/- 347829.24, N = 3SE +/- 634632.39, N = 36579952336362898331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
MinAvgMaxArctic Freezer 4U-M29.3170.2226.7Dynatron A3866.7196.1262.3OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 4199 Joules per run.2. Dynatron A38: Approximate power consumption of 5098 Joules per run.
MinAvgMaxArctic Freezer 4U-M42.156.860.9Dynatron A3866.075.979.9OpenBenchmarking.orgCelsius, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Temperature Monitor20406080100

easyWave

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

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400Arctic Freezer 4U-MDynatron A38140280420560700SE +/- 0.78, N = 3SE +/- 2.23, N = 3166.25662.181. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption MonitorDynatron A38Arctic Freezer 4U-M4080120160200Min: 63.61 / Avg: 164.87 / Max: 173.93Min: 30.15 / Avg: 172.8 / Max: 195.891. Dynatron A38: Approximate power consumption of 109749 Joules per run.2. Arctic Freezer 4U-M: Approximate power consumption of 29721 Joules per run.
MinAvgMaxArctic Freezer 4U-M37.654.558.0Dynatron A3855.563.167.1OpenBenchmarking.orgCelsius, Fewer Is BettereasyWave r34CPU Temperature Monitor20406080100

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: drivaerFastback, Small Mesh Size - Mesh TimeArctic Freezer 4U-MDynatron A3871421283525.5528.161. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeArctic Freezer 4U-MDynatron A382040608010092.12104.271. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
MinAvgMaxArctic Freezer 4U-M29.5262.1288.0Dynatron A3862.2274.5288.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor70140210280350
MinAvgMaxArctic Freezer 4U-M38.169.273.8Dynatron A3855.683.587.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 10CPU Temperature Monitor20406080100

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeArctic Freezer 4U-MDynatron A3850100150200250SE +/- 0.48, N = 3SE +/- 2.39, N = 12121.71225.411. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
MinAvgMaxArctic Freezer 4U-M31.0277.4288.9Dynatron A3866.9282.2289.2OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 34946 Joules per run.2. Dynatron A38: Approximate power consumption of 64585 Joules per run.
MinAvgMaxArctic Freezer 4U-M42.873.775.6Dynatron A3862.690.793.0OpenBenchmarking.orgCelsius, Fewer Is BetterQMCPACK 3.17.1CPU Temperature Monitor20406080100

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionArctic Freezer 4U-MDynatron A383691215SE +/- 0.08077696, N = 7SE +/- 0.11682212, N = 158.657229299.245396421. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxArctic Freezer 4U-M28.6165.9259.1Dynatron A3865.1200.3276.1OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 2204 Joules per run.2. Dynatron A38: Approximate power consumption of 2764 Joules per run.
MinAvgMaxArctic Freezer 4U-M45.659.465.4Dynatron A3868.380.586.9OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionArctic Freezer 4U-MDynatron A38918273645SE +/- 0.17, N = 3SE +/- 0.57, N = 339.6741.211. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxArctic Freezer 4U-M29.8194.9220.8Dynatron A3864.0230.8273.9OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 8705 Joules per run.2. Dynatron A38: Approximate power consumption of 10694 Joules per run.
MinAvgMaxArctic Freezer 4U-M41.559.762.8Dynatron A3863.980.489.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature Monitor20406080100

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileArctic Freezer 4U-MDynatron A38612182430SE +/- 0.03, N = 3SE +/- 0.05, N = 323.1323.61
MinAvgMaxArctic Freezer 4U-M24.5182.2286.6Dynatron A3866.6196.0286.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 5526 Joules per run.2. Dynatron A38: Approximate power consumption of 5946 Joules per run.
MinAvgMaxArctic Freezer 4U-M50.067.476.6Dynatron A3866.479.689.1OpenBenchmarking.orgCelsius, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Temperature Monitor20406080100

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 RatingArctic Freezer 4U-MDynatron A3840K80K120K160K200KSE +/- 276.44, N = 3SE +/- 456.85, N = 31943361927641. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingArctic Freezer 4U-MDynatron A3850K100K150K200K250KSE +/- 381.24, N = 3SE +/- 1526.13, N = 32229392004981. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
MinAvgMaxArctic Freezer 4U-M27.5224.1288.9Dynatron A3866.1233.4288.9OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 6574 Joules per run.2. Dynatron A38: Approximate power consumption of 7234 Joules per run.
MinAvgMaxArctic Freezer 4U-M41.069.576.6Dynatron A3860.982.088.3OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 22.01CPU Temperature Monitor20406080100

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaArctic Freezer 4U-MDynatron A3860120180240300SE +/- 0.55, N = 3SE +/- 0.15, N = 3286.93296.04
MinAvgMaxArctic Freezer 4U-M28.3258.2288.9Dynatron A3861.2261.8288.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 78412 Joules per run.2. Dynatron A38: Approximate power consumption of 81766 Joules per run.
MinAvgMaxArctic Freezer 4U-M33.669.676.9Dynatron A3851.182.289.5OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 16.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesArctic Freezer 4U-MDynatron A3870140210280350SE +/- 4.44, N = 3SE +/- 1.17, N = 3334.09343.73
MinAvgMaxArctic Freezer 4U-M29.5235.3289.1Dynatron A3852.3241.8289.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 83692 Joules per run.2. Dynatron A38: Approximate power consumption of 88244 Joules per run.
MinAvgMaxArctic Freezer 4U-M42.169.877.0Dynatron A3856.681.288.9OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 16.0CPU Temperature Monitor20406080100

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC) open-source compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 13.2Time To CompileDynatron A38Arctic Freezer 4U-M2004006008001000SE +/- 0.74, N = 3SE +/- 0.34, N = 3897.43905.67
OpenBenchmarking.orgWatts, Fewer Is BetterTimed GCC Compilation 13.2CPU Power Consumption MonitorArctic Freezer 4U-MDynatron A3850100150200250Min: 27.94 / Avg: 125.67 / Max: 288.88Min: 45.79 / Avg: 139.36 / Max: 288.861. Arctic Freezer 4U-M: Approximate power consumption of 114909 Joules per run.2. Dynatron A38: Approximate power consumption of 126164 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GCC Compilation 13.2CPU Temperature MonitorArctic Freezer 4U-MDynatron A3820406080100Min: 36 / Avg: 55.28 / Max: 78.75Min: 51.5 / Avg: 65.94 / Max: 89.25

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigArctic Freezer 4U-MDynatron A381122334455SE +/- 0.65, N = 3SE +/- 0.53, N = 348.7149.98
MinAvgMaxArctic Freezer 4U-M28.5187.3286.6Dynatron A3865.0199.6286.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 11174 Joules per run.2. Dynatron A38: Approximate power consumption of 11979 Joules per run.
MinAvgMaxArctic Freezer 4U-M47.564.172.9Dynatron A3862.075.683.5OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigArctic Freezer 4U-MDynatron A38110220330440550SE +/- 0.03, N = 3SE +/- 0.57, N = 3489.87508.43
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorArctic Freezer 4U-MDynatron A3850100150200250Min: 29.68 / Avg: 268.09 / Max: 286.86Min: 65.18 / Avg: 270.27 / Max: 288.021. Arctic Freezer 4U-M: Approximate power consumption of 134670 Joules per run.2. Dynatron A38: Approximate power consumption of 140539 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Temperature MonitorArctic Freezer 4U-MDynatron A3820406080100Min: 40.5 / Avg: 72.11 / Max: 77Min: 57.38 / Avg: 84.26 / Max: 90.13

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyArctic Freezer 4U-MDynatron A381122334455SE +/- 0.22, N = 3SE +/- 0.02, N = 347.3449.14
MinAvgMaxArctic Freezer 4U-M29.2263.2288.9Dynatron A3861.2267.0288.9OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 13598 Joules per run.2. Dynatron A38: Approximate power consumption of 14153 Joules per run.
MinAvgMaxArctic Freezer 4U-M28.461.766.8Dynatron A3845.175.880.9OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyArctic Freezer 4U-MDynatron A38306090120150SE +/- 0.21, N = 3SE +/- 0.24, N = 3123.76128.40
MinAvgMaxArctic Freezer 4U-M30.1276.4288.9Dynatron A3865.9278.1288.9OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 35201 Joules per run.2. Dynatron A38: Approximate power consumption of 36801 Joules per run.
MinAvgMaxArctic Freezer 4U-M40.567.770.5Dynatron A3861.581.183.5OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyArctic Freezer 4U-MDynatron A381326395265SE +/- 0.17, N = 3SE +/- 0.03, N = 357.2159.53
MinAvgMaxArctic Freezer 4U-M29.1263.7289.2Dynatron A3866.9267.4288.9OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 16264 Joules per run.2. Dynatron A38: Approximate power consumption of 17114 Joules per run.
MinAvgMaxArctic Freezer 4U-M43.468.171.1Dynatron A3865.881.284.6OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyArctic Freezer 4U-MDynatron A38306090120150SE +/- 0.02, N = 3SE +/- 0.39, N = 3147.70153.69
MinAvgMaxArctic Freezer 4U-M30.2277.7289.2Dynatron A3867.4279.1288.9OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 42027 Joules per run.2. Dynatron A38: Approximate power consumption of 43912 Joules per run.
MinAvgMaxArctic Freezer 4U-M43.670.272.0Dynatron A3865.583.585.6OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyArctic Freezer 4U-MDynatron A38110220330440550SE +/- 1.02, N = 3SE +/- 0.25, N = 3468.65485.25
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorArctic Freezer 4U-MDynatron A3850100150200250Min: 23.49 / Avg: 281.37 / Max: 289.16Min: 67.72 / Avg: 282.31 / Max: 289.151. Arctic Freezer 4U-M: Approximate power consumption of 132995 Joules per run.2. Dynatron A38: Approximate power consumption of 138142 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 4.0CPU Temperature MonitorArctic Freezer 4U-MDynatron A381632486480Min: 45 / Avg: 71.89 / Max: 73.13Min: 65.63 / Avg: 84.74 / Max: 85.88

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultArctic Freezer 4U-MDynatron A384812162015.7615.84
MinAvgMaxArctic Freezer 4U-M32.082.7286.3Dynatron A3864.098.5282.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed CPython Compilation 3.10.6CPU Power Consumption Monitor70140210280350
MinAvgMaxArctic Freezer 4U-M43.852.165.0Dynatron A3857.964.372.9OpenBenchmarking.orgCelsius, Fewer Is BetterTimed CPython Compilation 3.10.6CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedArctic Freezer 4U-MDynatron A3850100150200250232.18232.85
MinAvgMaxArctic Freezer 4U-M30.777.1286.2Dynatron A3863.289.7286.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed CPython Compilation 3.10.6CPU Power Consumption Monitor70140210280350
MinAvgMaxArctic Freezer 4U-M39.952.263.4Dynatron A3854.360.771.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed CPython Compilation 3.10.6CPU Temperature Monitor20406080100

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileArctic Freezer 4U-MDynatron A38918273645SE +/- 0.03, N = 3SE +/- 0.04, N = 338.4238.441. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
MinAvgMaxArctic Freezer 4U-M30.2145.3286.2Dynatron A3863.3162.8286.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 2.3CPU Power Consumption Monitor701402102803501. Arctic Freezer 4U-M: Approximate power consumption of 6201 Joules per run.2. Dynatron A38: Approximate power consumption of 7000 Joules per run.
MinAvgMaxArctic Freezer 4U-M35.658.365.0Dynatron A3853.570.077.5OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Wasmer Compilation 2.3CPU Temperature Monitor20406080100

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBDynatron A38Arctic Freezer 4U-M306090120150SE +/- 0.32, N = 3SE +/- 0.14, N = 3110.73112.191. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxArctic Freezer 4U-M28.6139.6220.4Dynatron A3851.0150.1242.6OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor601201802403001. Arctic Freezer 4U-M: Approximate power consumption of 21598 Joules per run.2. Dynatron A38: Approximate power consumption of 27316 Joules per run.
MinAvgMaxArctic Freezer 4U-M44.561.968.1Dynatron A3854.372.680.5OpenBenchmarking.orgCelsius, Fewer Is BetterDuckDB 0.9.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetDynatron A38Arctic Freezer 4U-M306090120150SE +/- 0.46, N = 3SE +/- 0.82, N = 3132.32132.641. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxArctic Freezer 4U-M30.079.5203.1Dynatron A3861.791.4212.3OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor601201802403001. Arctic Freezer 4U-M: Approximate power consumption of 14450 Joules per run.2. Dynatron A38: Approximate power consumption of 16965 Joules per run.
MinAvgMaxArctic Freezer 4U-M37.853.160.6Dynatron A3855.961.569.3OpenBenchmarking.orgCelsius, Fewer Is BetterDuckDB 0.9.1CPU Temperature Monitor20406080100

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringArctic Freezer 4U-MDynatron A3850100150200250Min: 15.73 / Avg: 226.47 / Max: 289.17Min: 33.42 / Avg: 239.49 / Max: 295.51

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringArctic Freezer 4U-MDynatron A3820406080100Min: 28.38 / Avg: 66.62 / Max: 83.13Min: 45.13 / Avg: 81.26 / Max: 95.25

Dynatron A38

Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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

Testing initiated at 23 November 2023 01:10 by user phoronix.

Arctic Freezer 4U-M

Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 2048GB SOLIDIGM SSDPFKKW020X7, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel X550 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 23.2.1-1ubuntu3, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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

Testing initiated at 23 November 2023 19:28 by user phoronix.