dss Tests for a future article. AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB on Pop 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2311178-NE-DSS43616200&grr&sro .
dss Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution a b AMD Ryzen 5 4500U @ 2.38GHz (6 Cores) LENOVO LNVNB161216 (EECN20WW BIOS) AMD Renoir/Cezanne 16GB 256GB SK hynix HFM256GDHTNI-87A0B AMD Renoir 512MB (1500/400MHz) AMD Renoir Radeon HD Audio Realtek RTL8822CE 802.11ac PCIe Pop 22.04 5.17.5-76051705-generic (x86_64) GNOME Shell 42.1 X Server 1.21.1.3 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44) 1.2.204 GCC 11.2.0 ext4 1920x1080 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,brig,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-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0x8600102 - ACPI Profile: balanced Java Details - OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1) Python Details - Python 3.10.6 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
dss blender: Pabellon Barcelona - CPU-Only blender: Classroom - CPU-Only pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l pytorch: CPU - 512 - Efficientnet_v2_l pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 512 - ResNet-152 blender: Fishy Cat - CPU-Only pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 16 - ResNet-152 blender: BMW27 - CPU-Only ffmpeg: libx265 - Platform ffmpeg: libx265 - Video On Demand ffmpeg: libx264 - Upload ffmpeg: libx265 - Upload ffmpeg: libx264 - Platform ffmpeg: libx264 - Video On Demand pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 1 - ResNet-152 ffmpeg: libx265 - Live build-ffmpeg: Time To Compile dacapobench: Apache Cassandra dacapobench: Apache Tomcat dacapobench: H2 Database Engine dacapobench: Eclipse pytorch: CPU - 1 - ResNet-50 ffmpeg: libx264 - Live dacapobench: Tradebeans dacapobench: Tradesoap dacapobench: Apache Lucene Search Index dacapobench: Spring Boot dacapobench: Avrora AVR Simulation Framework dacapobench: Apache Kafka dacapobench: H2O In-Memory Platform For Machine Learning dacapobench: Jython dacapobench: GraphChi dacapobench: BioJava Biological Data Framework dacapobench: Apache Lucene Search Engine dacapobench: jMonkeyEngine dacapobench: PMD Source Code Analyzer dacapobench: Zxing 1D/2D Barcode Image Processing dacapobench: Apache Xalan XSLT dacapobench: Batik SVG Toolkit dacapobench: FOP Print Formatter rabbitmq: 10 Queues, 100 Producers, 100 Consumers a b 1356.88 1022.29 1.99 2.00 1.92 1.98 1.99 4.25 498.23 5.23 5.08 2.81 5.00 4.93 355.82 24.21 24.25 10.86 11.32 40.99 41.07 11.16 11.33 11.14 11.14 11.38 8.96 57.27 111.167 13337 21376 7561 15563 20.51 167.25 12110 8433 5182 6029 9973 8108 7273 6936 5170 7848 6625 6968 3791 3189 1835 1715 963 1018.42 1.96 3.33 3.40 3.32 3.29 2.97 496.36 2.95 3.01 2.77 4.32 4.59 370.04 23.88 23.97 10.89 11.15 41.03 41.12 9.23 9.61 11.20 11.36 11.10 8.61 55.56 111.703 13439 21279 7544 15904 20.62 167.51 12680 7917 5200 5680 10073 8083 6983 7001 5192 7807 6619 6978 3602 3242 1958 1690 1000 OpenBenchmarking.org
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only a 300 600 900 1200 1500 1356.88
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Classroom - Compute: CPU-Only a b 200 400 600 800 1000 1022.29 1018.42
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 0.4478 0.8956 1.3434 1.7912 2.239 1.99 1.96 MIN: 1.64 / MAX: 2.49 MIN: 1.65 / MAX: 2.46
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l a b 0.7493 1.4986 2.2479 2.9972 3.7465 2.00 3.33 MIN: 1.64 / MAX: 2.61 MIN: 2.84 / MAX: 3.4
PyTorch Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l a b 0.765 1.53 2.295 3.06 3.825 1.92 3.40 MIN: 1.5 / MAX: 2.37 MIN: 2.78 / MAX: 3.51
PyTorch Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l a b 0.747 1.494 2.241 2.988 3.735 1.98 3.32 MIN: 1.61 / MAX: 2.5 MIN: 2.76 / MAX: 3.52
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l a b 0.7403 1.4806 2.2209 2.9612 3.7015 1.99 3.29 MIN: 1.67 / MAX: 2.52 MIN: 0.81 / MAX: 3.34
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 a b 0.9563 1.9126 2.8689 3.8252 4.7815 4.25 2.97 MIN: 2.56 / MAX: 5.28 MIN: 2.34 / MAX: 4.28
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only a b 110 220 330 440 550 498.23 496.36
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 a b 1.1768 2.3536 3.5304 4.7072 5.884 5.23 2.95 MIN: 4.09 / MAX: 5.32 MIN: 2.25 / MAX: 4.18
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 a b 1.143 2.286 3.429 4.572 5.715 5.08 3.01 MIN: 4.08 / MAX: 5.17 MIN: 2.32 / MAX: 4.96
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 b 0.6323 1.2646 1.8969 2.5292 3.1615 2.81 2.77 MIN: 2.25 / MAX: 3.6 MIN: 2.2 / MAX: 3.53
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 a b 1.125 2.25 3.375 4.5 5.625 5.00 4.32 MIN: 4.11 / MAX: 5.16 MIN: 2.56 / MAX: 5.33
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 a b 1.1093 2.2186 3.3279 4.4372 5.5465 4.93 4.59 MIN: 4.06 / MAX: 5.05 MIN: 2.94 / MAX: 5.23
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only a b 80 160 240 320 400 355.82 370.04
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform a b 6 12 18 24 30 24.21 23.88 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand a b 6 12 18 24 30 24.25 23.97 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Upload a b 3 6 9 12 15 10.86 10.89 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload a b 3 6 9 12 15 11.32 11.15 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Platform a b 9 18 27 36 45 40.99 41.03 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand a b 9 18 27 36 45 41.07 41.12 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 a b 3 6 9 12 15 11.16 9.23 MIN: 7.48 / MAX: 11.39 MIN: 5.47 / MAX: 11.57
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 a b 3 6 9 12 15 11.33 9.61 MIN: 6.93 / MAX: 11.72 MIN: 5.49 / MAX: 11.82
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b 3 6 9 12 15 11.14 11.20 MIN: 7.9 / MAX: 11.34 MIN: 7.86 / MAX: 11.45
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b 3 6 9 12 15 11.14 11.36 MIN: 6.82 / MAX: 11.36 MIN: 7.17 / MAX: 11.76
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 a b 3 6 9 12 15 11.38 11.10 MIN: 6.9 / MAX: 11.74 MIN: 6.36 / MAX: 11.44
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 3 6 9 12 15 8.96 8.61 MIN: 6.4 / MAX: 9.41 MIN: 5.53 / MAX: 8.97
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live a b 13 26 39 52 65 57.27 55.56 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.1 Time To Compile a b 30 60 90 120 150 111.17 111.70
DaCapo Benchmark Java Test: Apache Cassandra OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Cassandra a b 3K 6K 9K 12K 15K 13337 13439
DaCapo Benchmark Java Test: Apache Tomcat OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Tomcat a b 5K 10K 15K 20K 25K 21376 21279
DaCapo Benchmark Java Test: H2 Database Engine OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: H2 Database Engine a b 1600 3200 4800 6400 8000 7561 7544
DaCapo Benchmark Java Test: Eclipse OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Eclipse a b 3K 6K 9K 12K 15K 15563 15904
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 a b 5 10 15 20 25 20.51 20.62 MIN: 13.01 / MAX: 21.1 MIN: 15.81 / MAX: 21.31
FFmpeg Encoder: libx264 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Live a b 40 80 120 160 200 167.25 167.51 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
DaCapo Benchmark Java Test: Tradebeans OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Tradebeans a b 3K 6K 9K 12K 15K 12110 12680
DaCapo Benchmark Java Test: Tradesoap OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Tradesoap a b 2K 4K 6K 8K 10K 8433 7917
DaCapo Benchmark Java Test: Apache Lucene Search Index OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index a b 1100 2200 3300 4400 5500 5182 5200
DaCapo Benchmark Java Test: Spring Boot OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Spring Boot a b 1300 2600 3900 5200 6500 6029 5680
DaCapo Benchmark Java Test: Avrora AVR Simulation Framework OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework a b 2K 4K 6K 8K 10K 9973 10073
DaCapo Benchmark Java Test: Apache Kafka OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Kafka a b 2K 4K 6K 8K 10K 8108 8083
DaCapo Benchmark Java Test: H2O In-Memory Platform For Machine Learning OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning a b 1600 3200 4800 6400 8000 7273 6983
DaCapo Benchmark Java Test: Jython OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Jython a b 1500 3000 4500 6000 7500 6936 7001
DaCapo Benchmark Java Test: GraphChi OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: GraphChi a b 1100 2200 3300 4400 5500 5170 5192
DaCapo Benchmark Java Test: BioJava Biological Data Framework OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework a b 2K 4K 6K 8K 10K 7848 7807
DaCapo Benchmark Java Test: Apache Lucene Search Engine OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine a b 1400 2800 4200 5600 7000 6625 6619
DaCapo Benchmark Java Test: jMonkeyEngine OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: jMonkeyEngine a b 1500 3000 4500 6000 7500 6968 6978
DaCapo Benchmark Java Test: PMD Source Code Analyzer OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer a b 800 1600 2400 3200 4000 3791 3602
DaCapo Benchmark Java Test: Zxing 1D/2D Barcode Image Processing OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing a b 700 1400 2100 2800 3500 3189 3242
DaCapo Benchmark Java Test: Apache Xalan XSLT OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT a b 400 800 1200 1600 2000 1835 1958
DaCapo Benchmark Java Test: Batik SVG Toolkit OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit a b 400 800 1200 1600 2000 1715 1690
DaCapo Benchmark Java Test: FOP Print Formatter OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 23.11 Java Test: FOP Print Formatter a b 200 400 600 800 1000 963 1000
Phoronix Test Suite v10.8.5