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 julypgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 1 - Read Writepgbench: 1 - 1 - Read Write - Average Latencycassandra: Mixed 1:1cassandra: Writescassandra: Mixed 1:3renaissance: Apache Spark ALSpgbench: 1 - 50 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencyrenaissance: Savina Reactors.IOpgbench: 1 - 1 - Read Only - Average Latencyrocksdb: Update Randrenaissance: Apache Spark PageRankrenaissance: Apache Spark Bayesrenaissance: Akka Unbalanced Cobwebbed Treerocksdb: Seq Fillncnn: CPU - blazefacerocksdb: Rand Readrenaissance: In-Memory Database Shootoutncnn: CPU - vgg16mnn: resnet-v2-50blosc: blosclzmnn: squeezenetv1.1ncnn: CPU - googlenetrenaissance: Rand Forestncnn: CPU - squeezenet_ssdmnn: mobilenet-v1-1.0mnn: inception-v3pgbench: 100 - 50 - Read Onlyrocksdb: Read While Writingncnn: CPU - alexnetpgbench: 100 - 50 - Read Only - Average Latencyncnn: CPU - mobilenetncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - resnet18rocksdb: Read Rand Write Randpgbench: 1 - 1 - Read Onlyyafaray: Total Time For Sample Scenemnn: MobileNetV2_224ncnn: CPU - mnasnetrenaissance: Genetic Algorithm Using Jenetics + Futuresncnn: CPU - regnety_400mtnn: CPU - DenseNetrenaissance: ALS Movie Lensncnn: CPU - yolov4-tinymnn: SqueezeNetV1.0ncnn: CPU - resnet50mnn: mobilenetV3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2pgbench: 100 - 1 - Read Onlyncnn: CPU - efficientnet-b0renaissance: Finagle HTTP Requeststnn: CPU - SqueezeNet v1.1ncnn: CPU - shufflenet-v2ncnn: CPU-v2-v2 - mobilenet-v2pgbench: 100 - 1 - Read Only - Average Latencyunvanquished: 1920 x 1080 - Highnatron: Spaceshiprocksdb: Rand Fill Syncrocksdb: Rand Fillcassandra: Readspgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 50 - Read Writepgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 1 - Read Writerenaissance: Scala Dotty12357.9538637341.3627409992356687152128.43101400.1618674.40.0284557173774.04687.611986.110019981.91486406563730.366.7727.97817957.64.72716.38711.423.283.36837.795255356178369414.370.19618.875.0217.8153312035149143.1743.9744.71639.410.943010.5597306.228.337.26630.372.826268.48966.181308807.732032.1238.2634.685.840.032177.62.53874825035917865.49491011.345743828.456.6788828291.2076948890717679482216.93109530.1618606.40.0294405503813.84806.812210.99836101.94477446803728.066.9927.55417990.44.71716.60702.023.583.40737.371252615180268514.520.19818.685.0617.97154509934870144.5074.0094.741633.611.023014.2977331.528.537.27330.342.833268.29266.540307537.752027.0238.8044.695.850.0322.326773801317517112.68045341.385724722.369.9187157441.3447055286898715582183.53223410.1558356.90.0294510633715.84718.212259.610054021.90484708963795.267.8627.55917723.64.65816.46705.423.423.38337.701253947180084814.480.19718.835.0717.93154769034820143.7654.0104.721647.511.032991.0207357.828.357.22830.192.817266.97666.405308357.742030.9238.5404.685.840.0322.328127686777582816.50331921.528659788.6OpenBenchmarking.org

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: 50 - Mode: Read Write - Average Latency1231632486480SE +/- 0.41, N = 3SE +/- 0.89, N = 357.9556.6869.921. (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 Latency1231428425670Min: 55.9 / Avg: 56.68 / Max: 57.3Min: 68.15 / Avg: 69.92 / Max: 70.941. (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 Write1232004006008001000SE +/- 6.45, N = 3SE +/- 9.18, N = 38638827151. (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 Write123150300450600750Min: 872.66 / Avg: 882.29 / Max: 894.54Min: 704.89 / Avg: 715.38 / Max: 733.671. (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 Write1232004006008001000SE +/- 5.43, N = 3SE +/- 7.92, N = 37348297441. (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 Write123150300450600750Min: 823.1 / Avg: 828.82 / Max: 839.67Min: 729.01 / Avg: 744.15 / Max: 755.731. (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 Latency1230.30650.6130.91951.2261.5325SE +/- 0.008, N = 3SE +/- 0.015, N = 31.3621.2071.3441. (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 Latency123246810Min: 1.19 / Avg: 1.21 / Max: 1.22Min: 1.32 / Avg: 1.34 / Max: 1.371. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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: Mixed 1:112316K32K48K64K80KSE +/- 772.57, N = 3SE +/- 602.05, N = 3740996948870552
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:112313K26K39K52K65KMin: 68021 / Avg: 69487.67 / Max: 70642Min: 69452 / Avg: 70552.33 / Max: 71526

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes12320K40K60K80K100KSE +/- 719.26, N = 3SE +/- 856.28, N = 3923569071786898
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes12316K32K48K64K80KMin: 89781 / Avg: 90717 / Max: 92131Min: 85707 / Avg: 86897.67 / Max: 88559

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:312315K30K45K60K75KSE +/- 1314.49, N = 9SE +/- 1156.19, N = 3687156794871558
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:312312K24K36K48K60KMin: 62431 / Avg: 67947.89 / Max: 73319Min: 69545 / Avg: 71558.33 / Max: 73550

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: Apache Spark ALS1235001000150020002500SE +/- 10.97, N = 3SE +/- 22.42, N = 32128.42216.92183.5MIN: 1974.74 / MAX: 2242.4MIN: 1995.13 / MAX: 2451.28MIN: 1991.82 / MAX: 2360.21
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS123400800120016002000Min: 2203.77 / Avg: 2216.89 / Max: 2238.67Min: 2150.91 / Avg: 2183.53 / Max: 2226.49

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: 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 Latency1230.03620.07240.10860.14480.181SE +/- 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 Latency12312345Min: 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

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: 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

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 Latency1230.00650.0130.01950.0260.0325SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0280.0290.0291. (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 Latency12312345Min: 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

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: Update Random123100K200K300K400K500KSE +/- 4795.05, N = 3SE +/- 1514.18, N = 34557174405504510631. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random12380K160K240K320K400KMin: 435194 / Avg: 440549.67 / Max: 450117Min: 448307 / Avg: 451063 / Max: 4535281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: Apache Spark PageRank1238001600240032004000SE +/- 38.92, N = 3SE +/- 37.59, N = 83774.03813.83715.8MIN: 3508.42 / MAX: 3861.72MIN: 3463.87 / MAX: 3935.74MIN: 3192.15 / MAX: 3971.89
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank1237001400210028003500Min: 3752.09 / Avg: 3813.85 / Max: 3885.76Min: 3454.47 / Avg: 3715.8 / Max: 3772.01

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes12310002000300040005000SE +/- 41.77, N = 3SE +/- 22.98, N = 34687.64806.84718.2MIN: 3572.37MIN: 3540.75 / MAX: 4856.42MIN: 3523.76 / MAX: 4761.93
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes1238001600240032004000Min: 4723.81 / Avg: 4806.82 / Max: 4856.42Min: 4684.13 / Avg: 4718.19 / Max: 4761.93

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree1233K6K9K12K15KSE +/- 65.57, N = 3SE +/- 83.51, N = 311986.112210.912259.6MIN: 9462.1 / MAX: 11986.14MIN: 9467.33 / MAX: 12328.78MIN: 9507.71 / MAX: 12423.57
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree1232K4K6K8K10KMin: 12102.21 / Avg: 12210.89 / Max: 12328.78Min: 12150.13 / Avg: 12259.57 / Max: 12423.57

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: Sequential Fill123200K400K600K800K1000KSE +/- 7713.25, N = 14SE +/- 8045.71, N = 3100199898361010054021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill123200K400K600K800K1000KMin: 893394 / Avg: 983609.86 / Max: 1016635Min: 993169 / Avg: 1005402 / Max: 10205721. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: blazeface1230.43650.8731.30951.7462.1825SE +/- 0.01, N = 3SE +/- 0.00, N = 31.911.941.90MIN: 1.88 / MAX: 2MIN: 1.89 / MAX: 2.05MIN: 1.87 / MAX: 1.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface123246810Min: 1.92 / Avg: 1.94 / Max: 1.96Min: 1.9 / Avg: 1.9 / Max: 1.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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 Read12310M20M30M40M50MSE +/- 172505.65, N = 3SE +/- 442537.60, N = 34864065647744680484708961. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read1238M16M24M32M40MMin: 47417458 / Avg: 47744680.33 / Max: 48002995Min: 47724189 / Avg: 48470896 / Max: 492557591. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: In-Memory Database Shootout1238001600240032004000SE +/- 21.56, N = 3SE +/- 58.47, N = 33730.33728.03795.2MIN: 3419.27 / MAX: 4020.27MIN: 3280.97 / MAX: 4079.91MIN: 3360.53 / MAX: 4214.52
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout1237001400210028003500Min: 3703.03 / Avg: 3728.05 / Max: 3770.98Min: 3716.25 / Avg: 3795.25 / Max: 3909.41

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: vgg161231530456075SE +/- 0.10, N = 3SE +/- 0.03, N = 366.7766.9967.86MIN: 66.38 / MAX: 80.33MIN: 66.57 / MAX: 88.13MIN: 67.19 / MAX: 85.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg161231326395265Min: 66.82 / Avg: 66.99 / Max: 67.16Min: 67.81 / Avg: 67.86 / Max: 67.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: resnet-v2-50123714212835SE +/- 0.15, N = 15SE +/- 0.04, N = 327.9827.5527.56MIN: 27.59 / MAX: 38.1MIN: 25.59 / MAX: 38.82MIN: 27.19 / MAX: 28.81. (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-v2-50123612182430Min: 26.84 / Avg: 27.55 / Max: 28.96Min: 27.52 / Avg: 27.56 / Max: 27.631. (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

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: blosclz1234K8K12K16K20KSE +/- 109.18, N = 3SE +/- 66.76, N = 317957.617990.417723.61. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0Compressor: blosclz1233K6K9K12K15KMin: 17772.2 / Avg: 17990.4 / Max: 18106.9Min: 17590.7 / Avg: 17723.63 / Max: 17800.91. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -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: 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

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: googlenet12348121620SE +/- 0.14, N = 3SE +/- 0.02, N = 316.3816.6016.46MIN: 16.24 / MAX: 16.77MIN: 16.27 / MAX: 18.9MIN: 16.26 / MAX: 20.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet12348121620Min: 16.43 / Avg: 16.6 / Max: 16.87Min: 16.43 / Avg: 16.46 / Max: 16.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: Random Forest123150300450600750SE +/- 5.70, N = 3SE +/- 5.16, N = 3711.4702.0705.4MIN: 655.36 / MAX: 843.12MIN: 638.56 / MAX: 871.4MIN: 639.16 / MAX: 844.61
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest123130260390520650Min: 695.89 / Avg: 701.97 / Max: 713.37Min: 699.25 / Avg: 705.38 / Max: 715.63

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: squeezenet_ssd123612182430SE +/- 0.07, N = 3SE +/- 0.08, N = 323.2823.5823.42MIN: 23.04 / MAX: 23.66MIN: 23.19 / MAX: 25.05MIN: 23.02 / MAX: 23.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd123612182430Min: 23.47 / Avg: 23.58 / Max: 23.72Min: 23.28 / Avg: 23.42 / Max: 23.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: mobilenet-v1-1.01230.76661.53322.29983.06643.833SE +/- 0.018, N = 15SE +/- 0.030, N = 33.3683.4073.383MIN: 3.34 / MAX: 4.07MIN: 3.24 / MAX: 12.43MIN: 3.29 / MAX: 3.841. (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-v1-1.0123246810Min: 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-v3123918273645SE +/- 0.19, N = 15SE +/- 0.31, N = 337.8037.3737.70MIN: 37.29 / MAX: 47.7MIN: 34.52 / MAX: 49.07MIN: 36.88 / MAX: 49.91. (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-v3123816243240Min: 35.58 / Avg: 37.37 / Max: 38.53Min: 37.11 / Avg: 37.7 / Max: 38.171. (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

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: 100 - Clients: 50 - Mode: Read Only12350K100K150K200K250KSE +/- 1030.91, N = 3SE +/- 1152.42, N = 32553562526152539471. (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 Only12340K80K120K160K200KMin: 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

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: Read While Writing123400K800K1200K1600K2000KSE +/- 21409.11, N = 3SE +/- 7464.13, N = 31783694180268518008481. (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 Writing123300K600K900K1200K1500KMin: 1774743 / Avg: 1802685.33 / Max: 1844754Min: 1787347 / Avg: 1800848 / Max: 18131151. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: alexnet12348121620SE +/- 0.10, N = 3SE +/- 0.01, N = 314.3714.5214.48MIN: 14.24 / MAX: 14.51MIN: 14.24 / MAX: 14.89MIN: 14.29 / MAX: 14.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet12348121620Min: 14.4 / Avg: 14.52 / Max: 14.72Min: 14.47 / Avg: 14.48 / Max: 14.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 100 - Clients: 50 - Mode: Read Only - Average Latency1230.04460.08920.13380.17840.223SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1960.1980.1971. (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 Latency12312345Min: 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

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: mobilenet123510152025SE +/- 0.20, N = 3SE +/- 0.02, N = 318.8718.6818.83MIN: 18.16 / MAX: 20.54MIN: 17.92 / MAX: 33.71MIN: 18.2 / MAX: 20.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet123510152025Min: 18.29 / Avg: 18.68 / Max: 18.88Min: 18.8 / Avg: 18.83 / Max: 18.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v31231.14082.28163.42244.56325.704SE +/- 0.04, N = 3SE +/- 0.01, N = 35.025.065.07MIN: 4.95 / MAX: 5.14MIN: 4.89 / MAX: 6.66MIN: 4.96 / MAX: 6.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 4.99 / Avg: 5.06 / Max: 5.1Min: 5.06 / Avg: 5.07 / Max: 5.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet1812348121620SE +/- 0.10, N = 3SE +/- 0.01, N = 317.8017.9717.93MIN: 17.68 / MAX: 18.51MIN: 17.76 / MAX: 19MIN: 17.8 / MAX: 22.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18123510152025Min: 17.84 / Avg: 17.97 / Max: 18.18Min: 17.91 / Avg: 17.93 / Max: 17.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 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

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 Only1238K16K24K32K40KSE +/- 504.18, N = 3SE +/- 173.07, N = 33514934870348201. (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 Only1236K12K18K24K30KMin: 33994.69 / Avg: 34870.35 / Max: 35741.2Min: 34504.21 / Avg: 34819.58 / Max: 35100.831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 Scene123306090120150SE +/- 0.43, N = 3SE +/- 0.74, N = 3143.17144.51143.771. (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 Scene123306090120150Min: 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

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: MobileNetV2_2241230.90231.80462.70693.60924.5115SE +/- 0.026, N = 15SE +/- 0.037, N = 33.9744.0094.010MIN: 3.9 / MAX: 4.76MIN: 3.82 / MAX: 6.44MIN: 3.88 / MAX: 4.311. (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_224123246810Min: 3.87 / Avg: 4.01 / Max: 4.15Min: 3.94 / Avg: 4.01 / Max: 4.051. (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

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: mnasnet1231.06652.1333.19954.2665.3325SE +/- 0.00, N = 3SE +/- 0.01, N = 34.704.744.72MIN: 4.65 / MAX: 4.82MIN: 4.67 / MAX: 5.6MIN: 4.63 / MAX: 8.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet123246810Min: 4.73 / Avg: 4.74 / Max: 4.74Min: 4.71 / Avg: 4.72 / Max: 4.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: Genetic Algorithm Using Jenetics + Futures123400800120016002000SE +/- 5.10, N = 3SE +/- 6.92, N = 31639.41633.61647.5MIN: 1623.82 / MAX: 1654.41MIN: 1609.47 / MAX: 1659.15MIN: 1598.71 / MAX: 1684.09
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures12330060090012001500Min: 1625.15 / Avg: 1633.58 / Max: 1642.78Min: 1639.93 / Avg: 1647.47 / Max: 1661.29

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: regnety_400m1233691215SE +/- 0.06, N = 3SE +/- 0.02, N = 310.9411.0211.03MIN: 10.82 / MAX: 11.56MIN: 10.82 / MAX: 11.24MIN: 10.89 / MAX: 26.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400m1233691215Min: 10.9 / Avg: 11.02 / Max: 11.1Min: 10.98 / Avg: 11.03 / Max: 11.051. (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: DenseNet1236001200180024003000SE +/- 0.40, N = 3SE +/- 2.38, N = 33010.563014.302991.02MIN: 2901.06 / MAX: 3101.58MIN: 2883.42 / MAX: 3103.37MIN: 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: DenseNet1235001000150020002500Min: 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

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: ALS Movie Lens12316003200480064008000SE +/- 18.63, N = 3SE +/- 39.22, N = 37306.27331.57357.8MAX: 8075.84MIN: 7310.64 / MAX: 8104.37MIN: 7288.01 / MAX: 8111.36
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens12313002600390052006500Min: 7310.64 / Avg: 7331.49 / Max: 7368.65Min: 7288.01 / Avg: 7357.84 / Max: 7423.71

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: yolov4-tiny123714212835SE +/- 0.07, N = 3SE +/- 0.08, N = 328.3328.5328.35MIN: 28.16 / MAX: 32.35MIN: 28.23 / MAX: 32.03MIN: 27.13 / MAX: 41.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny123612182430Min: 28.4 / Avg: 28.53 / Max: 28.64Min: 28.25 / Avg: 28.35 / Max: 28.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: SqueezeNetV1.0123246810SE +/- 0.052, N = 15SE +/- 0.092, N = 37.2667.2737.228MIN: 7.18 / MAX: 8.08MIN: 6.65 / MAX: 20.01MIN: 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: SqueezeNetV1.01233691215Min: 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

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: 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

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: mobilenetV31230.63741.27481.91222.54963.187SE +/- 0.026, N = 15SE +/- 0.025, N = 32.8262.8332.817MIN: 2.79 / MAX: 3.27MIN: 2.53 / MAX: 15.16MIN: 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: mobilenetV3123246810Min: 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

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: 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 v21231530456075SE +/- 0.49, N = 3SE +/- 0.60, N = 366.1866.5466.41MIN: 65.45 / MAX: 66.77MIN: 65.28 / MAX: 78.14MIN: 64.75 / MAX: 79.181. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v21231326395265Min: 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

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: 100 - Clients: 1 - Mode: Read Only1237K14K21K28K35KSE +/- 140.44, N = 3SE +/- 104.61, N = 33088030753308351. (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 Only1235K10K15K20K25KMin: 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

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: efficientnet-b0123246810SE +/- 0.05, N = 3SE +/- 0.01, N = 37.737.757.74MIN: 7.65 / MAX: 8.12MIN: 7.55 / MAX: 18.19MIN: 7.64 / MAX: 8.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b01233691215Min: 7.65 / Avg: 7.75 / Max: 7.83Min: 7.71 / Avg: 7.74 / Max: 7.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: Finagle HTTP Requests123400800120016002000SE +/- 10.78, N = 3SE +/- 14.42, N = 32032.12027.02030.9MIN: 1843.36 / MAX: 2170.98MIN: 1851.58 / MAX: 2096.17MIN: 1847.71 / MAX: 2176.61
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests123400800120016002000Min: 2010.56 / Avg: 2026.96 / Max: 2047.27Min: 2016.47 / Avg: 2030.93 / Max: 2059.77

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: SqueezeNet v1.112350100150200250SE +/- 1.12, N = 3SE +/- 0.09, N = 3238.26238.80238.54MIN: 237.62 / MAX: 241.32MIN: 236.32 / MAX: 242.8MIN: 235.47 / MAX: 240.411. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.11234080120160200Min: 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

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: shufflenet-v21231.05532.11063.16594.22125.2765SE +/- 0.01, N = 3SE +/- 0.01, N = 34.684.694.68MIN: 4.62 / MAX: 5.25MIN: 4.62 / MAX: 5.73MIN: 4.59 / MAX: 5.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2123246810Min: 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-v2-v2 - Model: mobilenet-v21231.31632.63263.94895.26526.5815SE +/- 0.02, N = 3SE +/- 0.01, N = 35.845.855.84MIN: 5.77 / MAX: 6.01MIN: 5.73 / MAX: 9.76MIN: 5.74 / MAX: 7.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.82 / Avg: 5.85 / Max: 5.88Min: 5.82 / Avg: 5.84 / Max: 5.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 100 - Clients: 1 - Mode: Read Only - Average Latency1230.00720.01440.02160.02880.036SE +/- 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 Latency12312345Min: 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

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

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: Spaceship1230.56251.1251.68752.252.8125SE +/- 0.08, N = 15SE +/- 0.06, N = 152.52.32.3
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4Input: Spaceship123246810Min: 1.7 / Avg: 2.32 / Max: 2.6Min: 1.8 / Avg: 2.29 / Max: 2.5

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 Fill Sync1238001600240032004000SE +/- 79.68, N = 15SE +/- 63.53, N = 153874267728121. (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 Sync1237001400210028003500Min: 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: Random Fill123200K400K600K800K1000KSE +/- 24109.98, N = 12SE +/- 9449.78, N = 38250353801317686771. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill123140K280K420K560K700KMin: 308571 / Avg: 380131 / Max: 538091Min: 755586 / Avg: 768677.33 / Max: 7870281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: Reads12320K40K60K80K100KSE +/- 2051.30, N = 12SE +/- 2013.85, N = 12917867517175828
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Reads12316K32K48K64K80KMin: 65716 / Avg: 75170.58 / Max: 87536Min: 67214 / Avg: 75828 / Max: 87195

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: 100 - Clients: 50 - Mode: Read Write - Average Latency12348121620SE +/- 1.494, N = 9SE +/- 1.072, N = 125.49412.68016.5031. (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 Latency12348121620Min: 6.77 / Avg: 12.68 / Max: 17.23Min: 10.41 / Avg: 16.5 / Max: 21.331. (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 Write1232K4K6K8K10KSE +/- 636.40, N = 9SE +/- 232.58, N = 129101453431921. (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 Write12316003200480064008000Min: 2902.27 / Avg: 4534.45 / Max: 7387.06Min: 2344.59 / Avg: 3191.88 / Max: 4801.281. (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 Latency1230.34380.68761.03141.37521.719SE +/- 0.022, N = 15SE +/- 0.038, N = 121.3451.3851.5281. (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 Latency123246810Min: 1.27 / Avg: 1.39 / Max: 1.54Min: 1.36 / Avg: 1.53 / Max: 1.81. (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 Write123160320480640800SE +/- 11.31, N = 15SE +/- 15.80, N = 127437246591. (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 Write123130260390520650Min: 648.25 / Avg: 724.45 / Max: 786.83Min: 555.06 / Avg: 658.74 / Max: 736.951. (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 Dotty1232004006008001000SE +/- 2.50, N = 3SE +/- 13.07, N = 15828.4722.3788.6MIN: 606.99 / MAX: 1579.39MIN: 594.33 / MAX: 1489.74MIN: 597.64 / MAX: 1617.74
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty123150300450600750Min: 717.87 / Avg: 722.31 / Max: 726.52Min: 720.23 / Avg: 788.55 / Max: 853.53

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.