3700x july

AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB on Ubuntu 20.04 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 2107315-IB-3700XJULY72
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July 30 2021
  4 Hours, 50 Minutes
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July 30 2021
  10 Hours, 52 Minutes
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July 31 2021
  8 Hours, 15 Minutes
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1

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)
Python Notes: Python 3.8.5
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

2

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)
Python Notes: Python 3.8.5
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

3

Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: Gigabyte A320M-S2H-CF (F52a BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 240GB TOSHIBA RC100, Graphics: HIS AMD Radeon HD 7750/8740 / R7 250E 1GB, Audio: AMD Oland/Hainan/Cape, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

3700x julyProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Gigabyte A320M-S2H-CF (F52a BIOS)AMD Starship/Matisse8GB240GB TOSHIBA RC100HIS AMD Radeon HD 7750/8740 / R7 250E 1GBAMD Oland/Hainan/CapeDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.045.8.1-050801-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.94.5 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080OpenBenchmarking.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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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: 0x8701021 Graphics Details- 1: GLAMORJava Details- OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)Python Details- Python 3.8.5Security 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%105%109%114%Facebook RocksDBPostgreSQL pgbenchNatronApache CassandraC-BloscYafaRayNCNNMobile Neural NetworkTNNRenaissance

3700x julyunvanquished: 1920 x 1080 - Highblosc: blosclzrenaissance: 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 + Futuresyafaray: Total Time For Sample Scenepgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 50 - Read Write - Average Latencypgbench: 100 - 1 - Read Onlypgbench: 100 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Writepgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 50 - Read Onlypgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 50 - Read Writepgbench: 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 v1.1cassandra: 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 Randnatron: Spaceship123177.617957.6828.4711.47306.22128.44687.68674.43774.02032.13730.311986.11639.4143.174351490.0287341.3623101400.16186357.953308800.0327431.3452553560.19691015.4942.8264.72727.9787.2663.9743.36837.79518.875.845.024.684.77.731.9116.3866.7717.814.3730.3728.3323.2810.943010.559268.48966.181238.263917869235674099687158250354864065645571710019983874178369415331202.517990.4722.3702.07331.52216.94806.88606.43813.82027.03728.012210.91633.6144.507348700.0298291.2073109530.16188256.678307530.0327241.3852526150.198453412.6802.8334.71727.5547.2734.0093.40737.37118.685.855.064.694.747.751.9416.6066.9917.9714.5230.3428.5323.5811.023014.297268.29266.540238.80475171907176948867948380131477446804405509836102677180268515450992.317723.6788.6705.47357.82183.54718.28356.93715.82030.93795.212259.61647.5143.765348200.0297441.3443223410.15571569.918308350.0326591.5282539470.197319216.5032.8174.65827.5597.2284.0103.38337.70118.835.845.074.684.727.741.9016.4667.8617.9314.4830.1928.3523.4211.032991.020266.97666.405238.540758288689870552715587686774847089645106310054022812180084815476902.3OpenBenchmarking.org

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: High14080120160200177.6

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: blosclz3124K8K12K16K20KSE +/- 66.76, N = 3SE +/- 109.18, N = 317723.617957.617990.41. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0Compressor: blosclz3123K6K9K12K15KMin: 17590.7 / Avg: 17723.63 / Max: 17800.9Min: 17772.2 / Avg: 17990.4 / Max: 18106.91. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -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 Dotty1322004006008001000SE +/- 13.07, N = 15SE +/- 2.50, N = 3828.4788.6722.3MIN: 606.99 / MAX: 1579.39MIN: 597.64 / MAX: 1617.74MIN: 594.33 / MAX: 1489.74
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty132150300450600750Min: 720.23 / Avg: 788.55 / Max: 853.53Min: 717.87 / Avg: 722.31 / Max: 726.52

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest132150300450600750SE +/- 5.16, N = 3SE +/- 5.70, N = 3711.4705.4702.0MIN: 655.36 / MAX: 843.12MIN: 639.16 / MAX: 844.61MIN: 638.56 / MAX: 871.4
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest132130260390520650Min: 699.25 / Avg: 705.38 / Max: 715.63Min: 695.89 / Avg: 701.97 / Max: 713.37

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens32116003200480064008000SE +/- 39.22, N = 3SE +/- 18.63, N = 37357.87331.57306.2MIN: 7288.01 / MAX: 8111.36MIN: 7310.64 / MAX: 8104.37MAX: 8075.84
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens32113002600390052006500Min: 7288.01 / Avg: 7357.84 / Max: 7423.71Min: 7310.64 / Avg: 7331.49 / Max: 7368.65

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS2315001000150020002500SE +/- 10.97, N = 3SE +/- 22.42, N = 32216.92183.52128.4MIN: 1995.13 / MAX: 2451.28MIN: 1991.82 / MAX: 2360.21MIN: 1974.74 / MAX: 2242.4
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS231400800120016002000Min: 2203.77 / Avg: 2216.89 / Max: 2238.67Min: 2150.91 / Avg: 2183.53 / Max: 2226.49

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes23110002000300040005000SE +/- 41.77, N = 3SE +/- 22.98, N = 34806.84718.24687.6MIN: 3540.75 / MAX: 4856.42MIN: 3523.76 / MAX: 4761.93MIN: 3572.37
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes2318001600240032004000Min: 4723.81 / Avg: 4806.82 / Max: 4856.42Min: 4684.13 / Avg: 4718.19 / Max: 4761.93

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO1232K4K6K8K10KSE +/- 82.02, N = 3SE +/- 126.38, N = 38674.48606.48356.9MAX: 12644.52MIN: 8466.31 / MAX: 12483.39MIN: 8122.38 / MAX: 13055.45
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO12315003000450060007500Min: 8466.31 / Avg: 8606.43 / Max: 8750.35Min: 8122.38 / Avg: 8356.86 / Max: 8555.82

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank2138001600240032004000SE +/- 38.92, N = 3SE +/- 37.59, N = 83813.83774.03715.8MIN: 3463.87 / MAX: 3935.74MIN: 3508.42 / MAX: 3861.72MIN: 3192.15 / MAX: 3971.89
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank2137001400210028003500Min: 3752.09 / Avg: 3813.85 / Max: 3885.76Min: 3454.47 / Avg: 3715.8 / Max: 3772.01

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests132400800120016002000SE +/- 14.42, N = 3SE +/- 10.78, N = 32032.12030.92027.0MIN: 1843.36 / MAX: 2170.98MIN: 1847.71 / MAX: 2176.61MIN: 1851.58 / MAX: 2096.17
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests132400800120016002000Min: 2016.47 / Avg: 2030.93 / Max: 2059.77Min: 2010.56 / Avg: 2026.96 / Max: 2047.27

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout3128001600240032004000SE +/- 58.47, N = 3SE +/- 21.56, N = 33795.23730.33728.0MIN: 3360.53 / MAX: 4214.52MIN: 3419.27 / MAX: 4020.27MIN: 3280.97 / MAX: 4079.91
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout3127001400210028003500Min: 3716.25 / Avg: 3795.25 / Max: 3909.41Min: 3703.03 / Avg: 3728.05 / Max: 3770.98

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree3213K6K9K12K15KSE +/- 83.51, N = 3SE +/- 65.57, N = 312259.612210.911986.1MIN: 9507.71 / MAX: 12423.57MIN: 9467.33 / MAX: 12328.78MIN: 9462.1 / MAX: 11986.14
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree3212K4K6K8K10KMin: 12150.13 / Avg: 12259.57 / Max: 12423.57Min: 12102.21 / Avg: 12210.89 / Max: 12328.78

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures312400800120016002000SE +/- 6.92, N = 3SE +/- 5.10, N = 31647.51639.41633.6MIN: 1598.71 / MAX: 1684.09MIN: 1623.82 / MAX: 1654.41MIN: 1609.47 / MAX: 1659.15
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures31230060090012001500Min: 1639.93 / Avg: 1647.47 / Max: 1661.29Min: 1625.15 / Avg: 1633.58 / Max: 1642.78

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 Scene231306090120150SE +/- 0.43, N = 3SE +/- 0.74, N = 3144.51143.77143.171. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.5.1Total Time For Sample Scene231306090120150Min: 143.67 / Avg: 144.51 / Max: 145.07Min: 142.4 / Avg: 143.77 / Max: 144.941. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype

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 Only3218K16K24K32K40KSE +/- 173.07, N = 3SE +/- 504.18, N = 33482034870351491. (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 Only3216K12K18K24K30KMin: 34504.21 / Avg: 34819.58 / Max: 35100.83Min: 33994.69 / Avg: 34870.35 / Max: 35741.21. (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 Only - Average Latency3210.00650.0130.01950.0260.0325SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0290.0290.0281. (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 Only - Average Latency32112345Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.031. (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 Write1322004006008001000SE +/- 7.92, N = 3SE +/- 5.43, N = 37347448291. (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 Write132150300450600750Min: 729.01 / Avg: 744.15 / Max: 755.73Min: 823.1 / Avg: 828.82 / Max: 839.671. (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 Latency1320.30650.6130.91951.2261.5325SE +/- 0.015, N = 3SE +/- 0.008, N = 31.3621.3441.2071. (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 Latency132246810Min: 1.32 / Avg: 1.34 / Max: 1.37Min: 1.19 / Avg: 1.21 / Max: 1.221. (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 Only12370K140K210K280K350KSE +/- 1252.21, N = 3SE +/- 4311.72, N = 33101403109533223411. (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 Only12360K120K180K240K300KMin: 309014.28 / Avg: 310953.19 / Max: 313295.42Min: 313887.96 / Avg: 322341.31 / Max: 328043.881. (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 Latency2130.03620.07240.10860.14480.181SE +/- 0.001, N = 3SE +/- 0.002, N = 30.1610.1610.1551. (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 Latency21312345Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.15 / Avg: 0.16 / Max: 0.161. (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 Write3122004006008001000SE +/- 9.18, N = 3SE +/- 6.45, N = 37158638821. (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 Write312150300450600750Min: 704.89 / Avg: 715.38 / Max: 733.67Min: 872.66 / Avg: 882.29 / Max: 894.541. (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 Latency3121632486480SE +/- 0.89, N = 3SE +/- 0.41, N = 369.9257.9556.681. (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 Latency3121428425670Min: 68.15 / Avg: 69.92 / Max: 70.94Min: 55.9 / Avg: 56.68 / Max: 57.31. (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 Only2317K14K21K28K35KSE +/- 140.44, N = 3SE +/- 104.61, N = 33075330835308801. (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 Only2315K10K15K20K25KMin: 30492.1 / Avg: 30752.57 / Max: 30973.86Min: 30654.22 / Avg: 30835.34 / Max: 31016.591. (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 Latency3210.00720.01440.02160.02880.036SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0320.0320.0321. (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 Latency32112345Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.031. (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 Write321160320480640800SE +/- 15.80, N = 12SE +/- 11.31, N = 156597247431. (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 Write321130260390520650Min: 555.06 / Avg: 658.74 / Max: 736.95Min: 648.25 / Avg: 724.45 / Max: 786.831. (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 Latency3210.34380.68761.03141.37521.719SE +/- 0.038, N = 12SE +/- 0.022, N = 151.5281.3851.3451. (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 Latency321246810Min: 1.36 / Avg: 1.53 / Max: 1.8Min: 1.27 / Avg: 1.39 / Max: 1.541. (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 Only23150K100K150K200K250KSE +/- 1030.91, N = 3SE +/- 1152.42, N = 32526152539472553561. (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 Only23140K80K120K160K200KMin: 251365.66 / Avg: 252615.34 / Max: 254660.4Min: 252606.13 / Avg: 253947.05 / Max: 256240.981. (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 Latency2310.04460.08920.13380.17840.223SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1980.1970.1961. (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 Latency23112345Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.2 / Avg: 0.2 / Max: 0.21. (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 Write3212K4K6K8K10KSE +/- 232.58, N = 12SE +/- 636.40, N = 93192453491011. (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 Write32116003200480064008000Min: 2344.59 / Avg: 3191.88 / Max: 4801.28Min: 2902.27 / Avg: 4534.45 / Max: 7387.061. (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 Latency32148121620SE +/- 1.072, N = 12SE +/- 1.494, N = 916.50312.6805.4941. (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 Latency32148121620Min: 10.41 / Avg: 16.5 / Max: 21.33Min: 6.77 / Avg: 12.68 / Max: 17.231. (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: mobilenetV32130.63741.27481.91222.54963.187SE +/- 0.026, N = 15SE +/- 0.025, N = 32.8332.8262.817MIN: 2.53 / MAX: 15.16MIN: 2.79 / MAX: 3.27MIN: 2.75 / MAX: 3.551. (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: mobilenetV3213246810Min: 2.57 / Avg: 2.83 / Max: 2.97Min: 2.77 / Avg: 2.82 / Max: 2.861. (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: squeezenetv1.11231.06362.12723.19084.25445.318SE +/- 0.033, N = 15SE +/- 0.041, N = 34.7274.7174.658MIN: 4.64 / MAX: 5.71MIN: 4.33 / MAX: 7.05MIN: 4.52 / MAX: 5.861. (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: squeezenetv1.1123246810Min: 4.41 / Avg: 4.72 / Max: 4.86Min: 4.59 / Avg: 4.66 / Max: 4.731. (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-v2-50132714212835SE +/- 0.04, N = 3SE +/- 0.15, N = 1527.9827.5627.55MIN: 27.59 / MAX: 38.1MIN: 27.19 / MAX: 28.8MIN: 25.59 / MAX: 38.821. (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-v2-50132612182430Min: 27.52 / Avg: 27.56 / Max: 27.63Min: 26.84 / Avg: 27.55 / Max: 28.961. (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: SqueezeNetV1.0213246810SE +/- 0.052, N = 15SE +/- 0.092, N = 37.2737.2667.228MIN: 6.65 / MAX: 20.01MIN: 7.18 / MAX: 8.08MIN: 7 / MAX: 8.431. (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: SqueezeNetV1.02133691215Min: 6.76 / Avg: 7.27 / Max: 7.5Min: 7.09 / Avg: 7.23 / Max: 7.41. (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_2243210.90231.80462.70693.60924.5115SE +/- 0.037, N = 3SE +/- 0.026, N = 154.0104.0093.974MIN: 3.88 / MAX: 4.31MIN: 3.82 / MAX: 6.44MIN: 3.9 / MAX: 4.761. (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_224321246810Min: 3.94 / Avg: 4.01 / Max: 4.05Min: 3.87 / Avg: 4.01 / Max: 4.151. (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-v1-1.02310.76661.53322.29983.06643.833SE +/- 0.018, N = 15SE +/- 0.030, N = 33.4073.3833.368MIN: 3.24 / MAX: 12.43MIN: 3.29 / MAX: 3.84MIN: 3.34 / MAX: 4.071. (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-v1-1.0231246810Min: 3.31 / Avg: 3.41 / Max: 3.53Min: 3.34 / Avg: 3.38 / Max: 3.441. (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-v3132918273645SE +/- 0.31, N = 3SE +/- 0.19, N = 1537.8037.7037.37MIN: 37.29 / MAX: 47.7MIN: 36.88 / MAX: 49.9MIN: 34.52 / MAX: 49.071. (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-v3132816243240Min: 37.11 / Avg: 37.7 / Max: 38.17Min: 35.58 / Avg: 37.37 / Max: 38.531. (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: mobilenet132510152025SE +/- 0.02, N = 3SE +/- 0.20, N = 318.8718.8318.68MIN: 18.16 / MAX: 20.54MIN: 18.2 / MAX: 20.27MIN: 17.92 / MAX: 33.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet132510152025Min: 18.8 / Avg: 18.83 / Max: 18.87Min: 18.29 / Avg: 18.68 / Max: 18.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v22311.31632.63263.94895.26526.5815SE +/- 0.02, N = 3SE +/- 0.01, N = 35.855.845.84MIN: 5.73 / MAX: 9.76MIN: 5.74 / MAX: 7.17MIN: 5.77 / MAX: 6.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2231246810Min: 5.82 / Avg: 5.85 / Max: 5.88Min: 5.82 / Avg: 5.84 / Max: 5.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v33211.14082.28163.42244.56325.704SE +/- 0.01, N = 3SE +/- 0.04, N = 35.075.065.02MIN: 4.96 / MAX: 6.43MIN: 4.89 / MAX: 6.66MIN: 4.95 / MAX: 5.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3321246810Min: 5.06 / Avg: 5.07 / Max: 5.08Min: 4.99 / Avg: 5.06 / Max: 5.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v22311.05532.11063.16594.22125.2765SE +/- 0.01, N = 3SE +/- 0.01, N = 34.694.684.68MIN: 4.62 / MAX: 5.73MIN: 4.59 / MAX: 5.88MIN: 4.62 / MAX: 5.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2231246810Min: 4.67 / Avg: 4.69 / Max: 4.7Min: 4.67 / Avg: 4.68 / Max: 4.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet2311.06652.1333.19954.2665.3325SE +/- 0.00, N = 3SE +/- 0.01, N = 34.744.724.70MIN: 4.67 / MAX: 5.6MIN: 4.63 / MAX: 8.67MIN: 4.65 / MAX: 4.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet231246810Min: 4.73 / Avg: 4.74 / Max: 4.74Min: 4.71 / Avg: 4.72 / Max: 4.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0231246810SE +/- 0.05, N = 3SE +/- 0.01, N = 37.757.747.73MIN: 7.55 / MAX: 18.19MIN: 7.64 / MAX: 8.16MIN: 7.65 / MAX: 8.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b02313691215Min: 7.65 / Avg: 7.75 / Max: 7.83Min: 7.71 / Avg: 7.74 / Max: 7.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface2130.43650.8731.30951.7462.1825SE +/- 0.01, N = 3SE +/- 0.00, N = 31.941.911.90MIN: 1.89 / MAX: 2.05MIN: 1.88 / MAX: 2MIN: 1.87 / MAX: 1.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface213246810Min: 1.92 / Avg: 1.94 / Max: 1.96Min: 1.9 / Avg: 1.9 / Max: 1.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet23148121620SE +/- 0.14, N = 3SE +/- 0.02, N = 316.6016.4616.38MIN: 16.27 / MAX: 18.9MIN: 16.26 / MAX: 20.42MIN: 16.24 / MAX: 16.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet23148121620Min: 16.43 / Avg: 16.6 / Max: 16.87Min: 16.43 / Avg: 16.46 / Max: 16.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg163211530456075SE +/- 0.03, N = 3SE +/- 0.10, N = 367.8666.9966.77MIN: 67.19 / MAX: 85.29MIN: 66.57 / MAX: 88.13MIN: 66.38 / MAX: 80.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg163211326395265Min: 67.81 / Avg: 67.86 / Max: 67.9Min: 66.82 / Avg: 66.99 / Max: 67.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet1823148121620SE +/- 0.10, N = 3SE +/- 0.01, N = 317.9717.9317.80MIN: 17.76 / MAX: 19MIN: 17.8 / MAX: 22.68MIN: 17.68 / MAX: 18.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18231510152025Min: 17.84 / Avg: 17.97 / Max: 18.18Min: 17.91 / Avg: 17.93 / Max: 17.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet23148121620SE +/- 0.10, N = 3SE +/- 0.01, N = 314.5214.4814.37MIN: 14.24 / MAX: 14.89MIN: 14.29 / MAX: 14.88MIN: 14.24 / MAX: 14.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet23148121620Min: 14.4 / Avg: 14.52 / Max: 14.72Min: 14.47 / Avg: 14.48 / Max: 14.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50123714212835SE +/- 0.02, N = 3SE +/- 0.09, N = 330.3730.3430.19MIN: 30.15 / MAX: 35.21MIN: 30.1 / MAX: 32.55MIN: 29.87 / MAX: 32.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50123714212835Min: 30.3 / Avg: 30.34 / Max: 30.37Min: 30.02 / Avg: 30.19 / Max: 30.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny231714212835SE +/- 0.07, N = 3SE +/- 0.08, N = 328.5328.3528.33MIN: 28.23 / MAX: 32.03MIN: 27.13 / MAX: 41.62MIN: 28.16 / MAX: 32.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny231612182430Min: 28.4 / Avg: 28.53 / Max: 28.64Min: 28.25 / Avg: 28.35 / Max: 28.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd231612182430SE +/- 0.07, N = 3SE +/- 0.08, N = 323.5823.4223.28MIN: 23.19 / MAX: 25.05MIN: 23.02 / MAX: 23.92MIN: 23.04 / MAX: 23.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd231612182430Min: 23.47 / Avg: 23.58 / Max: 23.72Min: 23.28 / Avg: 23.42 / Max: 23.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400m3213691215SE +/- 0.02, N = 3SE +/- 0.06, N = 311.0311.0210.94MIN: 10.89 / MAX: 26.58MIN: 10.82 / MAX: 11.24MIN: 10.82 / MAX: 11.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400m3213691215Min: 10.98 / Avg: 11.03 / Max: 11.05Min: 10.9 / Avg: 11.02 / Max: 11.11. (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: DenseNet2136001200180024003000SE +/- 0.40, N = 3SE +/- 2.38, N = 33014.303010.562991.02MIN: 2883.42 / MAX: 3103.37MIN: 2901.06 / MAX: 3101.58MIN: 2874.87 / MAX: 3095.331. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet2135001000150020002500Min: 3013.77 / Avg: 3014.3 / Max: 3015.09Min: 2986.25 / Avg: 2991.02 / Max: 2993.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212360120180240300SE +/- 0.66, N = 3SE +/- 0.42, N = 3268.49268.29266.98MIN: 266.34 / MAX: 274.64MIN: 265.36 / MAX: 273.01MIN: 263.22 / MAX: 279.441. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212350100150200250Min: 267.38 / Avg: 268.29 / Max: 269.57Min: 266.16 / Avg: 266.98 / Max: 267.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v22311530456075SE +/- 0.49, N = 3SE +/- 0.60, N = 366.5466.4166.18MIN: 65.28 / MAX: 78.14MIN: 64.75 / MAX: 79.18MIN: 65.45 / MAX: 66.771. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v22311326395265Min: 66.05 / Avg: 66.54 / Max: 67.52Min: 65.21 / Avg: 66.41 / Max: 67.041. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.123150100150200250SE +/- 1.12, N = 3SE +/- 0.09, N = 3238.80238.54238.26MIN: 236.32 / MAX: 242.8MIN: 235.47 / MAX: 240.41MIN: 237.62 / MAX: 241.321. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.12314080120160200Min: 236.98 / Avg: 238.8 / Max: 240.85Min: 238.41 / Avg: 238.54 / Max: 238.711. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

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: Reads23120K40K60K80K100KSE +/- 2051.30, N = 12SE +/- 2013.85, N = 12751717582891786
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Reads23116K32K48K64K80KMin: 65716 / Avg: 75170.58 / Max: 87536Min: 67214 / Avg: 75828 / Max: 87195

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes32120K40K60K80K100KSE +/- 856.28, N = 3SE +/- 719.26, N = 3868989071792356
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes32116K32K48K64K80KMin: 85707 / Avg: 86897.67 / Max: 88559Min: 89781 / Avg: 90717 / Max: 92131

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:123116K32K48K64K80KSE +/- 772.57, N = 3SE +/- 602.05, N = 3694887055274099
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:123113K26K39K52K65KMin: 68021 / Avg: 69487.67 / Max: 70642Min: 69452 / Avg: 70552.33 / Max: 71526

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:321315K30K45K60K75KSE +/- 1314.49, N = 9SE +/- 1156.19, N = 3679486871571558
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:321312K24K36K48K60KMin: 62431 / Avg: 67947.89 / Max: 73319Min: 69545 / Avg: 71558.33 / Max: 73550

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 Fill231200K400K600K800K1000KSE +/- 24109.98, N = 12SE +/- 9449.78, N = 33801317686778250351. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill231140K280K420K560K700KMin: 308571 / Avg: 380131 / Max: 538091Min: 755586 / Avg: 768677.33 / Max: 7870281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read23110M20M30M40M50MSE +/- 172505.65, N = 3SE +/- 442537.60, N = 34774468048470896486406561. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read2318M16M24M32M40MMin: 47417458 / Avg: 47744680.33 / Max: 48002995Min: 47724189 / Avg: 48470896 / Max: 492557591. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random231100K200K300K400K500KSE +/- 4795.05, N = 3SE +/- 1514.18, N = 34405504510634557171. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random23180K160K240K320K400KMin: 435194 / Avg: 440549.67 / Max: 450117Min: 448307 / Avg: 451063 / Max: 4535281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill213200K400K600K800K1000KSE +/- 7713.25, N = 14SE +/- 8045.71, N = 3983610100199810054021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill213200K400K600K800K1000KMin: 893394 / Avg: 983609.86 / Max: 1016635Min: 993169 / Avg: 1005402 / Max: 10205721. (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 Sync2318001600240032004000SE +/- 79.68, N = 15SE +/- 63.53, N = 152677281238741. (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 Sync2317001400210028003500Min: 2275 / Avg: 2677.2 / Max: 3525Min: 2490 / Avg: 2811.67 / Max: 33561. (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 Writing132400K800K1200K1600K2000KSE +/- 7464.13, N = 3SE +/- 21409.11, N = 31783694180084818026851. (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 Writing132300K600K900K1200K1500KMin: 1787347 / Avg: 1800848 / Max: 1813115Min: 1774743 / Avg: 1802685.33 / Max: 18447541. (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 Random123300K600K900K1200K1500KSE +/- 4612.62, N = 3SE +/- 1726.17, N = 31533120154509915476901. (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 Random123300K600K900K1200K1500KMin: 1539250 / Avg: 1545099.33 / Max: 1554202Min: 1545320 / Avg: 1547690 / Max: 15510491. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: Spaceship2310.56251.1251.68752.252.8125SE +/- 0.08, N = 15SE +/- 0.06, N = 152.32.32.5
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4Input: Spaceship231246810Min: 1.7 / Avg: 2.32 / Max: 2.6Min: 1.8 / Avg: 2.29 / Max: 2.5

68 Results Shown

Unvanquished
C-Blosc
Renaissance:
  Scala Dotty
  Rand Forest
  ALS Movie Lens
  Apache Spark ALS
  Apache Spark Bayes
  Savina Reactors.IO
  Apache Spark PageRank
  Finagle HTTP Requests
  In-Memory Database Shootout
  Akka Unbalanced Cobwebbed Tree
  Genetic Algorithm Using Jenetics + Futures
YafaRay
PostgreSQL pgbench:
  1 - 1 - Read Only
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 50 - Read Only
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Write
  1 - 50 - Read Write - Average Latency
  100 - 1 - Read Only
  100 - 1 - Read Only - Average Latency
  100 - 1 - Read Write
  100 - 1 - Read Write - Average Latency
  100 - 50 - Read Only
  100 - 50 - Read Only - Average Latency
  100 - 50 - Read Write
  100 - 50 - Read Write - Average Latency
Mobile Neural Network:
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v2
  CPU - SqueezeNet v1.1
Apache Cassandra:
  Reads
  Writes
  Mixed 1:1
  Mixed 1:3
Facebook RocksDB:
  Rand Fill
  Rand Read
  Update Rand
  Seq Fill
  Rand Fill Sync
  Read While Writing
  Read Rand Write Rand
Natron

1

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)
Python Notes: Python 3.8.5
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 30 July 2021 16:15 by user phoronix.

2

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)
Python Notes: Python 3.8.5
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 30 July 2021 20:36 by user phoronix.

3

Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: Gigabyte A320M-S2H-CF (F52a BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 240GB TOSHIBA RC100, Graphics: HIS AMD Radeon HD 7750/8740 / R7 250E 1GB, Audio: AMD Oland/Hainan/Cape, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)
Python Notes: Python 3.8.5
Security Notes: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 31 July 2021 05:47 by user phoronix.