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AMD Ryzen 7 7840HS testing with a Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS) and AMD Radeon 780M 512MB on Ubuntu 24.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2408129-NE-SSSS7399543
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August 11
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ssssOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 7840HS @ 5.14GHz (8 Cores / 16 Threads)Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS)AMD Device 14e82 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-B512GB Western Digital PC SN810 SDCPNRY-512GAMD Radeon 780M 512MBAMD Navi 31 HDMI/DPMEDIATEK MT7922 802.11ax PCIUbuntu 24.046.10.0-061000rc4daily20240621-generic (x86_64)GNOME Shell 46.0X Server + Wayland4.6 Mesa 24.2~git2406200600.0ac0fb~oibaf~n (git-0ac0fbc 2024-06-20 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext42560x1600ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionSsss PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/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-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: 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 Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%108%116%124%132%Mobile Neural NetworkXNNPACKLeelaChessZeroY-Crunchersimdjson

sssslczero: BLASlczero: Eigensimdjson: Kostyasimdjson: TopTweetsimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDy-cruncher: 1By-cruncher: 500Mmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3xnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV3Smallxnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV3Smallxnnpack: QU8MobileNetV2xnnpack: QU8MobileNetV3Largexnnpack: QU8MobileNetV3Smallabcd93745.218.861.558.229.0233.3815.4198.9231.1822.17411.0593.1412.2282.11921.2152001226354714141499548101198844991755.268.791.568.048.9833.20615.5199.3391.1362.14411.1723.1272.2682.15622.2122018226154514121477550101099344987705.208.831.558.228.8935.17416.22611.0351.3272.70715.3594.2072.9002.82427.86625802885738184919506561202123451087705.28.851.558.088.5835.07316.13911.2991.3862.80815.8614.3473.0172.89628.441257928827461905201266312341224516OpenBenchmarking.org

LeelaChessZero

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.31.1Backend: BLASabcd20406080100SE +/- 0.58, N = 3939187871. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.31.1Backend: Eigenabcd20406080100SE +/- 0.58, N = 3747570701. (CXX) g++ options: -flto -pthread

simdjson

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: Kostyaabcd1.18352.3673.55054.7345.9175SE +/- 0.01, N = 35.215.265.205.201. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: TopTweetabcd246810SE +/- 0.04, N = 38.868.798.838.851. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: LargeRandomabcd0.3510.7021.0531.4041.755SE +/- 0.00, N = 31.551.561.551.551. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: PartialTweetsabcd246810SE +/- 0.05, N = 38.228.048.228.081. (CXX) g++ options: -O3 -lrt

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: DistinctUserIDabcd3691215SE +/- 0.07, N = 99.028.988.898.581. (CXX) g++ options: -O3 -lrt

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 1Babcd816243240SE +/- 0.06, N = 333.3833.2135.1735.07

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 500Mabcd48121620SE +/- 0.02, N = 315.4215.5216.2316.14

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: nasnetabcd3691215SE +/- 0.030, N = 38.9239.33911.03511.299MIN: 8.41 / MAX: 36.07MIN: 8.52 / MAX: 20.37MIN: 8.95 / MAX: 23.97MIN: 9.02 / MAX: 23.31. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenetV3abcd0.31190.62380.93571.24761.5595SE +/- 0.009, N = 31.1821.1361.3271.386MIN: 1.14 / MAX: 11.45MIN: 1.11 / MAX: 8.06MIN: 1.07 / MAX: 4.99MIN: 1.07 / MAX: 3.571. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: squeezenetv1.1abcd0.63181.26361.89542.52723.159SE +/- 0.022, N = 32.1742.1442.7072.808MIN: 2.06 / MAX: 7.45MIN: 2.07 / MAX: 4.89MIN: 2 / MAX: 15.51MIN: 2.03 / MAX: 5.141. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: resnet-v2-50abcd48121620SE +/- 0.05, N = 311.0611.1715.3615.86MIN: 10.38 / MAX: 21.91MIN: 10.36 / MAX: 22.22MIN: 12.74 / MAX: 27.79MIN: 13.14 / MAX: 30.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: SqueezeNetV1.0abcd0.97811.95622.93433.91244.8905SE +/- 0.001, N = 33.1413.1274.2074.347MIN: 2.95 / MAX: 8.05MIN: 2.98 / MAX: 5.44MIN: 3.14 / MAX: 16.16MIN: 3.15 / MAX: 16.741. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: MobileNetV2_224abcd0.67881.35762.03642.71523.394SE +/- 0.018, N = 32.2282.2682.9003.017MIN: 2.13 / MAX: 6.79MIN: 2.13 / MAX: 7.52MIN: 2.21 / MAX: 16.4MIN: 2.2 / MAX: 23.331. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenet-v1-1.0abcd0.65161.30321.95482.60643.258SE +/- 0.012, N = 32.1192.1562.8242.896MIN: 2.06 / MAX: 3.49MIN: 2.05 / MAX: 18.92MIN: 2.08 / MAX: 16.25MIN: 2.07 / MAX: 5.641. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: inception-v3abcd714212835SE +/- 0.08, N = 321.2222.2127.8728.44MIN: 19.98 / MAX: 36.97MIN: 20.24 / MAX: 37.96MIN: 23.24 / MAX: 54.76MIN: 23.27 / MAX: 44.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV2abcd6001200180024003000SE +/- 12.91, N = 320012018258025791. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV3Largeabcd6001200180024003000SE +/- 12.12, N = 322632261288528821. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV3Smallabcd160320480640800SE +/- 6.89, N = 35475457387461. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV2abcd400800120016002000SE +/- 8.74, N = 314141412184919051. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV3Largeabcd400800120016002000SE +/- 5.78, N = 314991477195020121. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV3Smallabcd140280420560700SE +/- 2.73, N = 35485506566631. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV2abcd30060090012001500SE +/- 5.55, N = 310111010120212341. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV3Largeabcd30060090012001500SE +/- 3.21, N = 3988993123412241. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV3Smallabcd110220330440550SE +/- 1.67, N = 34494495105161. (CXX) g++ options: -O3 -lrt -lm