dkdka

AMD Ryzen 7 PRO 5850U testing with a LENOVO ThinkPad T14s Gen 2a 20XF004WUS (R1NET57W 1.27 BIOS) and AMD Radeon Vega / Mobile 1GB on Fedora Linux 39 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2403280-NE-DKDKA983176&grr.

dkdkaProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionAMD Ryzen 7 PRO 5850UbAMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads)LENOVO ThinkPad T14s Gen 2a 20XF004WUS (R1NET57W 1.27 BIOS)AMD Renoir/Cezanne2 x 16GB LPDDR4-4266MT/s Micron MT53E2G32D4NQ-0461024GB SAMSUNG MZVLB1T0HBLR-000L7AMD Radeon Vega / Mobile 1GBAMD Renoir Radeon HD AudioRealtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCIFedora Linux 396.5.8-300.fc39.x86_64 (x86_64)GNOME Shell 45.0X Server + Wayland4.6 Mesa 23.2.1 (LLVM 16.0.6 DRM 3.54)GCC 13.2.1 20230918btrfs3840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,m2,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-libstdcxx-zoneinfo=/usr/share/zoneinfo --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver Processor Details- Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa50000d - ACPI Profile: balanced Python Details- Python 3.12.0Security Details- SELinux + 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

dkdkablender: Barbershop - CPU-Onlytensorflow: CPU - 64 - ResNet-50blender: Pabellon Barcelona - CPU-Onlybrl-cad: VGR Performance Metricblender: Classroom - CPU-Onlytensorflow: CPU - 32 - ResNet-50pytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lblender: Junkshop - CPU-Onlyblender: Fishy Cat - CPU-Onlytensorflow: CPU - 64 - GoogLeNetblender: BMW27 - CPU-Onlypytorch: CPU - 64 - ResNet-152stockfish: Chess Benchmarkpytorch: CPU - 16 - ResNet-152pytorch: CPU - 32 - ResNet-152tensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNetpytorch: CPU - 1 - Efficientnet_v2_ltensorflow: CPU - 64 - AlexNetpytorch: CPU - 32 - ResNet-50pytorch: CPU - 64 - ResNet-50pytorch: CPU - 16 - ResNet-50pytorch: CPU - 1 - ResNet-152tensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 32 - AlexNetbuild-mesa: Time To Compilerocksdb: Update Randrocksdb: Read While Writingrocksdb: Rand Fillrocksdb: Read Rand Write Randrocksdb: Overwriterocksdb: Rand Fill Syncrocksdb: Rand Readtensorflow: CPU - 16 - AlexNetpytorch: CPU - 1 - ResNet-50tensorflow: CPU - 1 - AlexNettensorflow: CPU - 1 - ResNet-50rocksdb: Seq Filltensorflow: CPU - 1 - GoogLeNetAMD Ryzen 7 PRO 5850Ub2571.737.18861.4385972685.177.234.504.534.53352.15334.5321.26273.766.7172777836.756.757.35216.7459.0914.9915.1815.4611.2121.4651.2262.89730840613077265990529696086023369216812891274040.325.164.975.3895890412.822559.157.22863.2386032687.47.254.484.584.61353.74333.6621.4273.476.7576725646.686.727.4321.386.8059.4614.9415.1415.3911.3021.7151.5662.91131292213056205592389681406026229124482891716840.7926.835.035.4197080512.87OpenBenchmarking.org

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyAMD Ryzen 7 PRO 5850Ub60012001800240030002571.732559.15

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50AMD Ryzen 7 PRO 5850Ub2468107.187.22

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD Ryzen 7 PRO 5850Ub2004006008001000861.43863.23

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.38.2VGR Performance MetricAMD Ryzen 7 PRO 5850Ub20K40K60K80K100K85972860321. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyAMD Ryzen 7 PRO 5850Ub150300450600750685.17687.40

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: ResNet-50AMD Ryzen 7 PRO 5850Ub2468107.237.25

PyTorch

Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lAMD Ryzen 7 PRO 5850Ub1.01252.0253.03754.055.06254.504.48MIN: 4.02 / MAX: 4.84MIN: 4.19 / MAX: 4.75

PyTorch

Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lAMD Ryzen 7 PRO 5850Ub1.03052.0613.09154.1225.15254.534.58MIN: 4.36 / MAX: 4.74MIN: 4.26 / MAX: 4.76

PyTorch

Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lAMD Ryzen 7 PRO 5850Ub1.03732.07463.11194.14925.18654.534.61MIN: 4.28 / MAX: 4.73MIN: 4.5 / MAX: 4.86

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyAMD Ryzen 7 PRO 5850Ub80160240320400352.15353.74

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyAMD Ryzen 7 PRO 5850Ub70140210280350334.53333.66

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetAMD Ryzen 7 PRO 5850Ub51015202521.2621.40

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyAMD Ryzen 7 PRO 5850Ub60120180240300273.76273.47

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-152AMD Ryzen 7 PRO 5850Ub2468106.716.75MIN: 6.36 / MAX: 7.27MIN: 6.51 / MAX: 7.39

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkAMD Ryzen 7 PRO 5850Ub1.6M3.2M4.8M6.4M8M727778376725641. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: ResNet-152AMD Ryzen 7 PRO 5850Ub2468106.756.68MIN: 6.02 / MAX: 7.31MIN: 6.49 / MAX: 7.22

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: ResNet-152AMD Ryzen 7 PRO 5850Ub2468106.756.72MIN: 6.33 / MAX: 7.39MIN: 6.33 / MAX: 7.44

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: ResNet-50AMD Ryzen 7 PRO 5850Ub2468107.357.43

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: GoogLeNetAMD Ryzen 7 PRO 5850Ub51015202521.0021.38

PyTorch

Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lAMD Ryzen 7 PRO 5850Ub2468106.746.80MIN: 6.29 / MAX: 7.07MIN: 6.22 / MAX: 7.27

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: AlexNetAMD Ryzen 7 PRO 5850Ub132639526559.0959.46

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: ResNet-50AMD Ryzen 7 PRO 5850Ub4812162014.9914.94MIN: 13.78 / MAX: 15.7MIN: 14.24 / MAX: 15.75

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50AMD Ryzen 7 PRO 5850Ub4812162015.1815.14MIN: 12.84 / MAX: 15.95MIN: 12.59 / MAX: 16.41

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: ResNet-50AMD Ryzen 7 PRO 5850Ub4812162015.4615.39MIN: 14.34 / MAX: 16.56MIN: 14.06 / MAX: 16.03

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-152AMD Ryzen 7 PRO 5850Ub369121511.2111.30MIN: 10.11 / MAX: 11.68MIN: 10.44 / MAX: 11.75

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: GoogLeNetAMD Ryzen 7 PRO 5850Ub51015202521.4621.71

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: AlexNetAMD Ryzen 7 PRO 5850Ub122436486051.2251.56

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileAMD Ryzen 7 PRO 5850Ub142842567062.9062.91

RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Update RandomAMD Ryzen 7 PRO 5850Ub70K140K210K280K350K3084063129221. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While WritingAMD Ryzen 7 PRO 5850Ub300K600K900K1200K1500K130772613056201. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random FillAMD Ryzen 7 PRO 5850Ub130K260K390K520K650K5990525592381. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read Random Write RandomAMD Ryzen 7 PRO 5850Ub200K400K600K800K1000K9696089681401. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Overwrite

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: OverwriteAMD Ryzen 7 PRO 5850Ub130K260K390K520K650K6023366026221. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random Fill SyncAMD Ryzen 7 PRO 5850Ub200K400K600K800K1000K9216819124481. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadAMD Ryzen 7 PRO 5850Ub6M12M18M24M30M28912740289171681. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: AlexNetAMD Ryzen 7 PRO 5850Ub91827364540.3040.79

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-50AMD Ryzen 7 PRO 5850Ub61218243025.1626.83MIN: 22.34 / MAX: 28.23MIN: 24.34 / MAX: 28.52

TensorFlow

Device: CPU - Batch Size: 1 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetAMD Ryzen 7 PRO 5850Ub1.13182.26363.39544.52725.6594.975.03

TensorFlow

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50AMD Ryzen 7 PRO 5850Ub1.21732.43463.65194.86926.08655.385.41

RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Sequential FillAMD Ryzen 7 PRO 5850Ub200K400K600K800K1000K9589049708051. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

TensorFlow

Device: CPU - Batch Size: 1 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: GoogLeNetAMD Ryzen 7 PRO 5850Ub369121512.8212.87


Phoronix Test Suite v10.8.4