AMD Ryzen 7 7840U testing with a Framework FRANMDCP07 (03.03 BIOS) and AMD Phoenix1 512MB 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 2401082-NE-LG897017407 lg - Phoronix Test Suite lg AMD Ryzen 7 7840U testing with a Framework FRANMDCP07 (03.03 BIOS) and AMD Phoenix1 512MB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2401082-NE-LG897017407&export=pdf&sor&grw .
lg Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads) Framework FRANMDCP07 (03.03 BIOS) AMD Device 14e8 16GB 512GB Western Digital WD PC SN740 SDDPNQD-512G AMD Phoenix1 512MB (2700/2800MHz) AMD Rembrandt Radeon HD Audio MEDIATEK MT7922 802.11ax PCI Ubuntu 23.10 6.7.0-060700rc5-generic (x86_64) GNOME Shell 45.1 X Server 1.21.1.7 + Wayland 4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56) GCC 13.2.0 ext4 2256x1504 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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 Details - Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced Python Details - Python 3.11.6 Security Details - 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: 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 + srbds: Not affected + tsx_async_abort: Not affected
lg tensorflow: CPU - 1 - VGG-16 tensorflow: CPU - 1 - AlexNet tensorflow: CPU - 16 - VGG-16 tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 1 - GoogLeNet quicksilver: CORAL2 P1 tensorflow: CPU - 16 - GoogLeNet y-cruncher: 500M y-cruncher: 1B quicksilver: CORAL2 P2 tensorflow: CPU - 1 - ResNet-50 tensorflow: CPU - 16 - ResNet-50 pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l quicksilver: CTS2 pytorch: CPU - 16 - Efficientnet_v2_l a b c 3.42 11.09 7.46 89.66 42.37 11580000 65.04 16.745 37.131 21860000 11.35 21.85 49.42 20.10 28.64 12.50 11.95 10580000 8.52 3.42 11.11 7.46 88.85 41.59 11610000 65.09 16.702 37.21 21860000 11.38 21.84 47.70 19.93 27.86 12.37 11.88 10910000 8.48 3.41 11.09 7.47 89.39 42.3 11500000 65.56 16.693 37.507 20910000 11.46 21.84 50.00 19.75 29.46 12.50 11.93 10510000 8.40 OpenBenchmarking.org
TensorFlow Device: CPU - Batch Size: 1 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 b a c 0.7695 1.539 2.3085 3.078 3.8475 3.42 3.42 3.41
TensorFlow Device: CPU - Batch Size: 1 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet b c a 3 6 9 12 15 11.11 11.09 11.09
TensorFlow Device: CPU - Batch Size: 16 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 c b a 2 4 6 8 10 7.47 7.46 7.46
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet a c b 20 40 60 80 100 89.66 89.39 88.85
TensorFlow Device: CPU - Batch Size: 1 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet a c b 10 20 30 40 50 42.37 42.30 41.59
Quicksilver Input: CORAL2 P1 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P1 b a c 2M 4M 6M 8M 10M 11610000 11580000 11500000 1. (CXX) g++ options: -fopenmp -O3 -march=native
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet c b a 15 30 45 60 75 65.56 65.09 65.04
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M c b a 4 8 12 16 20 16.69 16.70 16.75
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B a b c 9 18 27 36 45 37.13 37.21 37.51
Quicksilver Input: CORAL2 P2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P2 b a c 5M 10M 15M 20M 25M 21860000 21860000 20910000 1. (CXX) g++ options: -fopenmp -O3 -march=native
TensorFlow Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 c b a 3 6 9 12 15 11.46 11.38 11.35
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 a c b 5 10 15 20 25 21.85 21.84 21.84
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 c a b 11 22 33 44 55 50.00 49.42 47.70 MIN: 42.81 / MAX: 51.34 MIN: 44.8 / MAX: 51.23 MIN: 40.33 / MAX: 49.08
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 a b c 5 10 15 20 25 20.10 19.93 19.75 MIN: 19.01 / MAX: 20.85 MIN: 18.59 / MAX: 20.22 MIN: 18.47 / MAX: 20.69
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 c a b 7 14 21 28 35 29.46 28.64 27.86 MIN: 26.85 / MAX: 29.73 MIN: 27.24 / MAX: 29.27 MIN: 25.37 / MAX: 28.2
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 c a b 3 6 9 12 15 12.50 12.50 12.37 MIN: 12.06 / MAX: 13.18 MIN: 12.18 / MAX: 13.17 MIN: 12 / MAX: 13.09
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l a c b 3 6 9 12 15 11.95 11.93 11.88 MIN: 11.49 / MAX: 12.13 MIN: 11.4 / MAX: 12.16 MIN: 11.46 / MAX: 12.01
Quicksilver Input: CTS2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CTS2 b a c 2M 4M 6M 8M 10M 10910000 10580000 10510000 1. (CXX) g++ options: -fopenmp -O3 -march=native
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l a b c 2 4 6 8 10 8.52 8.48 8.40 MIN: 7.31 / MAX: 8.87 MIN: 7.03 / MAX: 8.84 MIN: 6.7 / MAX: 8.85
Phoronix Test Suite v10.8.4