5600x july

AMD Ryzen 5 5600X 6-Core testing with a ASUS TUF GAMING B550M-PLUS (WI-FI) (1804 BIOS) and XFX AMD Radeon R9 285/380 2GB on Ubuntu 20.10 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 2108011-IB-5600XJULY66
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5600x julyProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads)ASUS TUF GAMING B550M-PLUS (WI-FI) (1804 BIOS)AMD Starship/Matisse16GB1000GB Samsung SSD 980 PRO 1TBXFX AMD Radeon R9 285/380 2GB (918/1375MHz)AMD Tonga HDMI AudioG237HLRealtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200Ubuntu 20.105.8.0-50-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.94.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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 Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009 Graphics Details- GLAMORJava Details- OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.10)Python Details- Python 3.8.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.6.1100%101%102%103%RenaissanceNatronApache CassandraFacebook RocksDBPostgreSQL pgbenchGravityMarkQuantum ESPRESSONCNNMobile Neural NetworkYafaRayUnvanquishedC-BloscTNN

5600x julynatron: Spaceshipgravitymark: 1920 x 1080 - OpenGLunvanquished: 1920 x 1080 - Highunvanquished: 1920 x 1080 - Ultraunvanquished: 1920 x 1080 - Mediumblosc: blosclzcassandra: Readscassandra: Writescassandra: Mixed 1:1cassandra: Mixed 1:3rocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randpgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Writepgbench: 1 - 50 - Read Onlypgbench: 1 - 50 - Read Writepgbench: 100 - 1 - Read Onlypgbench: 100 - 1 - Read Writepgbench: 100 - 50 - Read Onlypgbench: 100 - 50 - Read Writerenaissance: Scala Dottyrenaissance: Rand Forestrenaissance: ALS Movie Lensrenaissance: Apache Spark ALSrenaissance: Apache Spark Bayesrenaissance: Savina Reactors.IOrenaissance: Apache Spark PageRankrenaissance: Finagle HTTP Requestsrenaissance: In-Memory Database Shootoutrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Genetic Algorithm Using Jenetics + Futurespgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Write - Average Latencypgbench: 100 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 50 - Read Write - Average Latencymnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mtnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1qe: AUSURF112yafaray: Total Time For Sample Scene1232.628.4252.7247.4254.722931.46931688308709446745196320052116489542449137805596618092211642045369774822799855253210846524226510127772.1532.55350.71697.31689.15067.33016.71778.72762.28581.81438.00.0272.0740.17995.2640.0312.1510.2064.9371.072.4222.5633.5461.9692.8825.23512.592.842.492.312.483.831.0411.0658.3313.751223.0119.3716.36.052585.736222.89249.012216.4361379.13150.9892.528.8247.2249.4254.422944.9769648891270434702459674415095867653295013133189531700701161259337069462277930510317414582434449944684.2528.15393.81637.71687.25260.52784.51705.82753.38715.41418.40.0272.1620.1898.0120.0322.1830.2055.0281.0692.36822.4433.5431.9692.89225.16212.592.762.482.292.473.841.0411.0157.41131222.0420.0115.946.022583.184222.89548.503216.5951380.01149.912.628.7249.2247.9253.523040.2732968988570562692529589045212230854370913580269551692405162325937024466279302496321954592426359670670.1536.35406.21676.11659.25099.82769.71733.62774.48689.81411.90.0272.1460.179100.7860.0312.1780.2065.1711.0742.39822.4623.5692.0312.91225.3912.292.762.472.342.523.931.0611.0157.4913.041222.4519.4316.016.192590.296222.71948.476216.4421378.03150.188OpenBenchmarking.org

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4Input: Spaceship1230.5851.171.7552.342.9252.62.52.6

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 1920 x 1080 - Renderer: OpenGL12371421283528.428.828.7

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: High12360120180240300SE +/- 0.43, N = 3252.7247.2249.2
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: High12350100150200250Min: 252.1 / Avg: 252.67 / Max: 253.5

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Ultra12350100150200250SE +/- 0.24, N = 3247.4249.4247.9
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Ultra12350100150200250Min: 246.9 / Avg: 247.37 / Max: 247.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Medium12360120180240300SE +/- 0.32, N = 3254.7254.4253.5
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Medium12350100150200250Min: 254.1 / Avg: 254.7 / Max: 255.2

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0Compressor: blosclz1235K10K15K20K25K22931.422944.923040.21. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Reads12316K32K48K64K80K693167696473296

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes12320K40K60K80K100K883088891289885

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:112315K30K45K60K75K709447043470562

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:312315K30K45K60K75K674517024569252

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill123200K400K600K800K1000K9632009674419589041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read12311M22M33M44M55M5211648950958676521223081. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random123120K240K360K480K600K5424495329505437091. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill123300K600K900K1200K1500K1378055131331813580261. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill Sync12320040060080010009669539551. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Read While Writing123400K800K1200K1600K2000K1809221170070116924051. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Read Random Write Random123400K800K1200K1600K2000K1642045161259316232591. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only1238K16K24K32K40K3697737069370241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write1231002003004005004824624661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only12360K120K180K240K300K2799852779302793021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write1231102203304405505255104961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only1237K14K21K28K35K3210831741321951. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write1231002003004005004654584591. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only12350K100K150K200K250K2422652434442426351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write1232K4K6K8K10K10127994496701. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty123170340510680850772.1684.2670.1MIN: 546.36 / MAX: 1246.55MIN: 557.81 / MAX: 1243.2MIN: 534.08 / MAX: 1258.65

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest123120240360480600532.5528.1536.3MIN: 484.96 / MAX: 636.5MIN: 483.18 / MAX: 707.43MIN: 494.52 / MAX: 626.88

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens123120024003600480060005350.75393.85406.2MAX: 5992.6MIN: 5393.76 / MAX: 6003.21MAX: 5976.95

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS1234008001200160020001697.31637.71676.1MIN: 1608.25 / MAX: 1864.51MIN: 1549.88 / MAX: 1813.6MIN: 1581.01 / MAX: 1842.58

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes1234008001200160020001689.11687.21659.2MIN: 1283.14MIN: 1279.26MIN: 1244.74

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO123110022003300440055005067.35260.55099.8MAX: 7746.2MAX: 7568.96MAX: 8271.1

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank12360012001800240030003016.72784.52769.7MIN: 2720.42 / MAX: 3244.82MIN: 2496.99 / MAX: 3105.02MIN: 2495.98 / MAX: 2940.34

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests1234008001200160020001778.71705.81733.6MIN: 1631.66 / MAX: 1880.19MIN: 1579.05 / MAX: 1723.36MIN: 1585.51 / MAX: 1755.61

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout12360012001800240030002762.22753.32774.4MIN: 2594.56 / MAX: 2825.79MIN: 2587.84 / MAX: 2879.18MIN: 2573.72 / MAX: 2805.23

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree1232K4K6K8K10K8581.88715.48689.8MIN: 6698.45MIN: 6796.97 / MAX: 8715.41MIN: 6692.47 / MAX: 8689.83

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures123300600900120015001438.01418.41411.9MIN: 1421.1 / MAX: 1461.5MIN: 1400.09 / MAX: 1433.91MIN: 1391.9 / MAX: 1428.99

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency1230.00610.01220.01830.02440.03050.0270.0270.0271. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency1230.48650.9731.45951.9462.43252.0742.1622.1461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency1230.04050.0810.12150.1620.20250.1790.1800.1791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency1232040608010095.2698.01100.791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency1230.00720.01440.02160.02880.0360.0310.0320.0311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency1230.49120.98241.47361.96482.4562.1512.1832.1781. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency1230.04640.09280.13920.18560.2320.2060.2050.2061. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency1231.16352.3273.49054.6545.81754.9375.0285.1711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV31230.24170.48340.72510.96681.20851.0701.0691.074MIN: 1.06 / MAX: 1.32MIN: 1.06 / MAX: 1.08MIN: 1.06 / MAX: 1.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.11230.54451.0891.63352.1782.72252.4202.3682.398MIN: 2.36 / MAX: 11.04MIN: 2.34 / MAX: 2.45MIN: 2.36 / MAX: 2.821. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-5012351015202522.5622.4422.46MIN: 22.21 / MAX: 30.59MIN: 22.1 / MAX: 24.28MIN: 22.08 / MAX: 31.051. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.01230.8031.6062.4093.2124.0153.5463.5433.569MIN: 3.46 / MAX: 3.81MIN: 3.45 / MAX: 4.13MIN: 3.49 / 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 -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_2241230.4570.9141.3711.8282.2851.9691.9692.031MIN: 1.95 / MAX: 2.2MIN: 1.95 / MAX: 2.01MIN: 2 / MAX: 11.041. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.01230.65521.31041.96562.62083.2762.8802.8922.912MIN: 2.84 / MAX: 4.22MIN: 2.84 / MAX: 2.94MIN: 2.87 / MAX: 4.51. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v312361218243025.2425.1625.39MIN: 24.83 / MAX: 32.95MIN: 24.91 / MAX: 33.07MIN: 25.13 / MAX: 33.751. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet123369121512.5912.5912.29MIN: 12.2 / MAX: 23.46MIN: 12.48 / MAX: 13.83MIN: 12.15 / MAX: 13.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v21230.6391.2781.9172.5563.1952.842.762.76MIN: 2.75 / MAX: 6.35MIN: 2.69 / MAX: 3.96MIN: 2.69 / MAX: 3.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v31230.56031.12061.68092.24122.80152.492.482.47MIN: 2.45 / MAX: 2.79MIN: 2.43 / MAX: 3.99MIN: 2.44 / MAX: 3.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v21230.52651.0531.57952.1062.63252.312.292.34MIN: 2.28 / MAX: 2.36MIN: 2.27 / MAX: 3.11MIN: 2.27 / MAX: 13.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet1230.5671.1341.7012.2682.8352.482.472.52MIN: 2.44 / MAX: 2.6MIN: 2.43 / MAX: 3.43MIN: 2.47 / MAX: 3.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b01230.88431.76862.65293.53724.42153.833.843.93MIN: 3.8 / MAX: 4.09MIN: 3.77 / MAX: 7.32MIN: 3.88 / MAX: 5.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface1230.23850.4770.71550.9541.19251.041.041.06MIN: 1.03 / MAX: 1.1MIN: 1.03 / MAX: 1.09MIN: 1.05 / MAX: 1.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet123369121511.0611.0111.01MIN: 10.85 / MAX: 23.47MIN: 10.82 / MAX: 11.53MIN: 10.87 / MAX: 12.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16123132639526558.3357.4157.49MIN: 57.6 / MAX: 71.36MIN: 57.06 / MAX: 66.22MIN: 57.2 / MAX: 58.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet181234812162013.7513.0013.04MIN: 13.63 / MAX: 14MIN: 12.81 / MAX: 14.49MIN: 12.93 / MAX: 24.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet1233691215121212MIN: 11.9 / MAX: 12.07MIN: 11.86 / MAX: 12.18MIN: 11.9 / MAX: 12.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet5012361218243023.0122.0422.45MIN: 22.6 / MAX: 25.8MIN: 21.79 / MAX: 23.67MIN: 21.73 / MAX: 31.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny12351015202519.3720.0119.43MIN: 19.19 / MAX: 19.59MIN: 19.73 / MAX: 21.51MIN: 19.27 / MAX: 19.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd1234812162016.3015.9416.01MIN: 15.99 / MAX: 27.13MIN: 15.6 / MAX: 20.07MIN: 15.71 / MAX: 17.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400m1232468106.056.026.19MIN: 6.01 / MAX: 6.1MIN: 5.97 / MAX: 7.7MIN: 6.12 / MAX: 7.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet12360012001800240030002585.742583.182590.30MIN: 2567.7 / MAX: 2603.27MIN: 2567.54 / MAX: 2600.39MIN: 2574.19 / MAX: 2613.681. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212350100150200250222.89222.90222.72MIN: 222.33 / MAX: 223.92MIN: 222.26 / MAX: 223.93MIN: 222.17 / MAX: 225.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2123112233445549.0148.5048.48MIN: 48.82 / MAX: 49.09MIN: 48.41 / MAX: 48.62MIN: 48.38 / MAX: 48.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.112350100150200250216.44216.60216.44MIN: 216.32 / MAX: 216.61MIN: 216.5 / MAX: 216.74MIN: 216.32 / MAX: 216.651. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.8Input: AUSURF112123300600900120015001379.131380.011378.031. (F9X) gfortran options: -ldevXlib -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.5.1Total Time For Sample Scene123306090120150150.99149.91150.191. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype