3800xt nn

AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2107097-IB-3800XTNN098.

3800xt nnProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerCompilerFile-SystemScreen Resolution123AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS)AMD Starship/Matisse16GB128GB INTEL SSDPEKKW128G7Sapphire AMD Radeon HD 4650AMD RV710/730Intel I211Debian 104.19.0-17-amd64 (x86_64)X Server 1.20.4GCC 8.3.0ext41024x768OpenBenchmarking.orgKernel Details- Transparent Huge Pages: alwaysCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 Java Details- OpenJDK Runtime Environment (build 11.0.11+9-post-Debian-1deb10u1)Security 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

3800xt nnrenaissance: 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 + Futuresmnn: 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 v1.1123694.4680.27176.62052.51925.68181.23623.61729.83582.910511.51670.42.8614.30824.4096.7213.8223.19732.80717.205.414.594.314.297.241.8615.4865.3517.1013.5628.1126.9622.3210.542877.780247.98861.046219.772766.7683.97141.82027.51941.58109.33492.31742.23640.510514.21692.62.8614.34324.4146.7913.8983.22632.92417.135.404.594.324.267.221.8315.4366.6717.0813.4927.6427.1822.1910.192881.720248.41161.596217.468750.9672.27153.21977.41937.68110.23421.71736.43472.010574.61659.32.8564.29824.6886.7254.0653.19632.79517.395.424.594.304.277.231.8315.4565.8217.1014.0127.5726.9522.2910.182888.970249.55060.903225.877OpenBenchmarking.org

Renaissance

Test: Scala Dotty

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty123170340510680850SE +/- 4.26, N = 3SE +/- 5.65, N = 3SE +/- 10.32, N = 15694.4766.7750.9MIN: 568.04 / MAX: 1528.4MIN: 563.93 / MAX: 1477.46MIN: 559.99 / MAX: 2958.83

Renaissance

Test: Random Forest

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest123150300450600750SE +/- 9.40, N = 3SE +/- 5.88, N = 3SE +/- 2.20, N = 3680.2683.9672.2MIN: 608.7 / MAX: 840.54MIN: 626.53 / MAX: 816.13MIN: 616.75 / MAX: 830.59

Renaissance

Test: ALS Movie Lens

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens12315003000450060007500SE +/- 16.48, N = 3SE +/- 23.24, N = 3SE +/- 7.01, N = 37176.67141.87153.2MIN: 7154.04 / MAX: 7879.66MIN: 7102.96 / MAX: 7924.37MIN: 7139.38 / MAX: 7831.25

Renaissance

Test: Apache Spark ALS

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS123400800120016002000SE +/- 5.11, N = 3SE +/- 6.47, N = 3SE +/- 23.56, N = 32052.52027.51977.4MIN: 1946.3 / MAX: 2244.61MIN: 1949.54 / MAX: 2258.66MIN: 1850.21 / MAX: 2122.46

Renaissance

Test: Apache Spark Bayes

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes123400800120016002000SE +/- 5.21, N = 3SE +/- 8.42, N = 3SE +/- 2.43, N = 31925.61941.51937.6MIN: 1469.38 / MAX: 1935.6MIN: 1474.04 / MAX: 1957.52MIN: 1469.32 / MAX: 1940.02

Renaissance

Test: Savina Reactors.IO

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO1232K4K6K8K10KSE +/- 90.50, N = 15SE +/- 107.95, N = 15SE +/- 113.52, N = 158181.28109.38110.2MIN: 7515.49 / MAX: 13584.35MIN: 7362.22 / MAX: 14764.62MIN: 7457.43 / MAX: 13392.01

Renaissance

Test: Apache Spark PageRank

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank1238001600240032004000SE +/- 42.32, N = 3SE +/- 50.56, N = 3SE +/- 43.92, N = 153623.63492.33421.7MIN: 3204.77 / MAX: 3716.12MIN: 3104.55 / MAX: 3638.26MIN: 2764.62 / MAX: 3771.68

Renaissance

Test: Finagle HTTP Requests

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests123400800120016002000SE +/- 3.61, N = 3SE +/- 4.82, N = 3SE +/- 11.72, N = 31729.81742.21736.4MIN: 1579.93 / MAX: 1789.42MIN: 1568.53 / MAX: 1823.17MIN: 1555.2 / MAX: 1904.32

Renaissance

Test: In-Memory Database Shootout

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout1238001600240032004000SE +/- 28.02, N = 13SE +/- 45.53, N = 5SE +/- 43.56, N = 43582.93640.53472.0MIN: 3224.53 / MAX: 3897.38MIN: 3267.72 / MAX: 4627.58MIN: 3137.95 / MAX: 3858.73

Renaissance

Test: Akka Unbalanced Cobwebbed Tree

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree1232K4K6K8K10KSE +/- 95.45, N = 3SE +/- 22.31, N = 3SE +/- 97.37, N = 310511.510514.210574.6MIN: 8095.7 / MAX: 10698.04MIN: 8025.58 / MAX: 10557.75MIN: 8116.36 / MAX: 10766.94

Renaissance

Test: Genetic Algorithm Using Jenetics + Futures

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures123400800120016002000SE +/- 4.28, N = 3SE +/- 18.80, N = 3SE +/- 9.92, N = 31670.41692.61659.3MIN: 1627.7 / MAX: 1711.42MIN: 1624.36 / MAX: 1753.6MIN: 1612.96 / MAX: 1705.59

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV31230.64371.28741.93112.57483.2185SE +/- 0.044, N = 15SE +/- 0.031, N = 15SE +/- 0.005, N = 32.8612.8612.856MIN: 2.61 / MAX: 13.16MIN: 2.62 / MAX: 13.43MIN: 2.82 / MAX: 3.041. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.11230.97721.95442.93163.90884.886SE +/- 0.030, N = 15SE +/- 0.057, N = 15SE +/- 0.020, N = 34.3084.3434.298MIN: 4.07 / MAX: 14.99MIN: 4.03 / MAX: 14.8MIN: 4.22 / MAX: 6.351. (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

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50123612182430SE +/- 0.13, N = 15SE +/- 0.10, N = 15SE +/- 0.51, N = 324.4124.4124.69MIN: 23.21 / MAX: 41.39MIN: 23.28 / MAX: 41.55MIN: 23.73 / MAX: 71.671. (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

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0123246810SE +/- 0.059, N = 15SE +/- 0.072, N = 15SE +/- 0.081, N = 36.7216.7916.725MIN: 6.32 / MAX: 17.35MIN: 6.39 / MAX: 19.92MIN: 6.52 / MAX: 8.791. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_2241230.91461.82922.74383.65844.573SE +/- 0.028, N = 15SE +/- 0.038, N = 15SE +/- 0.173, N = 33.8223.8984.065MIN: 3.57 / MAX: 4.34MIN: 3.65 / MAX: 14.74MIN: 3.82 / MAX: 13.81. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.01230.72591.45182.17772.90363.6295SE +/- 0.029, N = 15SE +/- 0.057, N = 14SE +/- 0.005, N = 33.1973.2263.196MIN: 2.98 / MAX: 13.17MIN: 3.03 / MAX: 13.31MIN: 3.16 / MAX: 3.61. (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

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3123816243240SE +/- 0.14, N = 15SE +/- 0.10, N = 15SE +/- 0.26, N = 332.8132.9232.80MIN: 31.66 / MAX: 55.39MIN: 31.72 / MAX: 54.26MIN: 32.33 / MAX: 541. (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

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mobilenet12348121620SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 317.2017.1317.39MIN: 16.61 / MAX: 18.04MIN: 15.97 / MAX: 21.27MIN: 16.67 / MAX: 22.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v2-v2 - Model: mobilenet-v21231.21952.4393.65854.8786.0975SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.415.405.42MIN: 5.32 / MAX: 5.53MIN: 5.34 / MAX: 5.59MIN: 5.36 / MAX: 5.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v3-v3 - Model: mobilenet-v31231.03282.06563.09844.13125.164SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.594.594.59MIN: 4.52 / MAX: 7.44MIN: 4.53 / MAX: 4.94MIN: 4.52 / MAX: 7.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v21230.9721.9442.9163.8884.86SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 34.314.324.30MIN: 4.25 / MAX: 4.42MIN: 4.24 / MAX: 4.46MIN: 4.24 / MAX: 4.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet1230.96531.93062.89593.86124.8265SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.294.264.27MIN: 4.22 / MAX: 4.53MIN: 4.21 / MAX: 4.42MIN: 4.22 / MAX: 4.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b0123246810SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.247.227.23MIN: 7.14 / MAX: 12.02MIN: 7.13 / MAX: 7.51MIN: 7.13 / MAX: 7.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface1230.41850.8371.25551.6742.0925SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.861.831.83MIN: 1.81 / MAX: 4.44MIN: 1.81 / MAX: 1.89MIN: 1.8 / MAX: 2.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet12348121620SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.4815.4315.45MIN: 15.24 / MAX: 15.96MIN: 15.28 / MAX: 17.42MIN: 15.3 / MAX: 15.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg161231530456075SE +/- 0.69, N = 3SE +/- 0.10, N = 3SE +/- 0.63, N = 365.3566.6765.82MIN: 64.12 / MAX: 85.11MIN: 63.99 / MAX: 88.7MIN: 64.27 / MAX: 85.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet1812348121620SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 317.1017.0817.10MIN: 16.98 / MAX: 17.38MIN: 16.84 / MAX: 17.5MIN: 16.86 / MAX: 22.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet12348121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.38, N = 313.5613.4914.01MIN: 13.39 / MAX: 13.79MIN: 13.31 / MAX: 13.73MIN: 13.5 / MAX: 25.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet50123714212835SE +/- 0.58, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 328.1127.6427.57MIN: 27.3 / MAX: 61.91MIN: 27.42 / MAX: 27.99MIN: 27.29 / MAX: 30.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny123612182430SE +/- 0.05, N = 3SE +/- 0.41, N = 3SE +/- 0.03, N = 326.9627.1826.95MIN: 26.7 / MAX: 29.67MIN: 26.55 / MAX: 40.87MIN: 26.74 / MAX: 27.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd123510152025SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 322.3222.1922.29MIN: 22.02 / MAX: 26.98MIN: 21.93 / MAX: 23.3MIN: 21.96 / MAX: 22.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m1233691215SE +/- 0.37, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.5410.1910.18MIN: 10.08 / MAX: 33.92MIN: 10.1 / MAX: 10.46MIN: 10.1 / MAX: 10.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

Target: CPU - Model: DenseNet

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet1236001200180024003000SE +/- 8.10, N = 3SE +/- 8.27, N = 3SE +/- 3.19, N = 32877.782881.722888.97MIN: 2766.93 / MAX: 2988.44MIN: 2773.43 / MAX: 2985.5MIN: 2783.25 / MAX: 2990.511. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212350100150200250SE +/- 0.73, N = 3SE +/- 1.15, N = 3SE +/- 1.57, N = 3247.99248.41249.55MIN: 240.12 / MAX: 277.2MIN: 241.17 / MAX: 260.2MIN: 241.36 / MAX: 2751. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v21231428425670SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.42, N = 361.0561.6060.90MIN: 60.42 / MAX: 61.71MIN: 60.92 / MAX: 62.71MIN: 59.77 / MAX: 61.851. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3219.77217.47225.88MIN: 218.71 / MAX: 229.87MIN: 216.8 / MAX: 226.51MIN: 224.92 / MAX: 233.11. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl


Phoronix Test Suite v10.8.4