1231 nn

Intel Xeon E3-1231 v3 testing with a Gigabyte H81M-S1 (FF BIOS) and Sapphire AMD Radeon HD 4550 on Debian 10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2107095-IB-1231NN91667.

1231 nnProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerCompilerFile-SystemScreen Resolution123Intel Xeon E3-1231 v3 @ 3.80GHz (4 Cores / 8 Threads)Gigabyte H81M-S1 (FF BIOS)Intel Xeon E3-1200 v3 DRAM16GB120GB Samsung SSD 850Sapphire AMD Radeon HD 4550Realtek ALC887-VDRealtek RTL8111/8168/8411Debian 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: intel_pstate powersave - CPU Microcode: 0x12Java Details- OpenJDK Runtime Environment (build 11.0.11+9-post-Debian-1deb10u1)Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline STIBP: disabled RSB filling + srbds: Vulnerable: No microcode + tsx_async_abort: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable

1231 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 v1.11231208.4811.79155.14005.43063.111642.34158.52479.34367.811509.22464.62.3524.44841.2126.9554.7615.07653.02930.918.706.976.356.9311.422.3124.55108.5226.5423.4051.0342.9938.7413.864071.481312.38577.637285.8271187.2820.09131.14042.63016.011149.04479.72460.94329.411439.02443.82.3605.02040.7397.1354.8015.47653.80331.238.646.975.736.9311.512.3124.93107.5627.0823.7752.0645.1539.0213.944079.514312.64577.649286.3201189.7814.69194.44087.83425.711500.44370.42547.34504.211627.62443.52.4424.55040.9217.0394.9365.35154.73131.748.246.935.786.7711.672.3925.03107.4627.0923.9751.5543.9538.6714.034063.925311.98377.359285.798OpenBenchmarking.org

Renaissance

Test: Scala Dotty

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty12330060090012001500SE +/- 16.68, N = 15SE +/- 18.24, N = 15SE +/- 16.07, N = 151208.41187.21189.7MIN: 827.87 / MAX: 2450.06MIN: 814.74 / MAX: 2582.91MIN: 825.86 / MAX: 2437.1

Renaissance

Test: Random Forest

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest1232004006008001000SE +/- 7.69, N = 3SE +/- 1.26, N = 3SE +/- 3.95, N = 3811.7820.0814.6MIN: 698.91 / MAX: 1284.12MIN: 715.55 / MAX: 1219.03MIN: 717.25 / MAX: 1208.22

Renaissance

Test: ALS Movie Lens

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens1232K4K6K8K10KSE +/- 54.54, N = 3SE +/- 10.57, N = 3SE +/- 8.90, N = 39155.19131.19194.4MIN: 9005.89 / MAX: 11245.63MIN: 9026.08 / MAX: 11090.14MIN: 9114.45 / MAX: 11344.36

Renaissance

Test: Apache Spark ALS

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS1239001800270036004500SE +/- 15.33, N = 3SE +/- 24.92, N = 3SE +/- 29.77, N = 34005.44042.64087.8MIN: 3719.34 / MAX: 4385.79MIN: 3756.1 / MAX: 4625.02MIN: 3784.8 / MAX: 4633.12

Renaissance

Test: Apache Spark Bayes

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes1237001400210028003500SE +/- 58.64, N = 15SE +/- 20.39, N = 3SE +/- 126.24, N = 153063.13016.03425.7MIN: 2167.75 / MAX: 3791.48MIN: 2284.91 / MAX: 3056.36MIN: 2251.36 / MAX: 4669.24

Renaissance

Test: Savina Reactors.IO

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO1232K4K6K8K10KSE +/- 78.33, N = 3SE +/- 156.09, N = 12SE +/- 153.74, N = 311642.311149.011500.4MIN: 11516.23 / MAX: 16372.36MIN: 9365.3 / MAX: 16894.79MIN: 9998 / MAX: 16699.36

Renaissance

Test: Apache Spark PageRank

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank12310002000300040005000SE +/- 79.10, N = 12SE +/- 56.06, N = 3SE +/- 58.28, N = 34158.54479.74370.4MIN: 3517.06 / MAX: 4678.17MIN: 4101.03 / MAX: 4814.87MIN: 3941.05 / MAX: 4581.79

Renaissance

Test: Finagle HTTP Requests

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests1235001000150020002500SE +/- 15.84, N = 3SE +/- 8.91, N = 3SE +/- 10.96, N = 32479.32460.92547.3MIN: 2247.68 / MAX: 2685.39MIN: 2226.93 / MAX: 2677.55MIN: 2286.84 / MAX: 2774.85

Renaissance

Test: In-Memory Database Shootout

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout12310002000300040005000SE +/- 53.65, N = 3SE +/- 2.55, N = 3SE +/- 66.26, N = 34367.84329.44504.2MIN: 3829.47 / MAX: 4855.9MIN: 3847.55 / MAX: 5240.28MIN: 3810.73 / MAX: 5212.38

Renaissance

Test: Akka Unbalanced Cobwebbed Tree

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree1232K4K6K8K10KSE +/- 33.15, N = 3SE +/- 34.05, N = 3SE +/- 143.43, N = 311509.211439.011627.6MIN: 8610.85 / MAX: 11570.61MIN: 8680.68 / MAX: 11491.3MIN: 8691.24 / MAX: 11774.44

Renaissance

Test: Genetic Algorithm Using Jenetics + Futures

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures1235001000150020002500SE +/- 21.43, N = 3SE +/- 12.04, N = 3SE +/- 35.87, N = 32464.62443.82443.5MIN: 2185.26 / MAX: 2570.53MIN: 2165.3 / MAX: 2543.88MIN: 2181.79 / MAX: 2553.73

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV31230.54951.0991.64852.1982.7475SE +/- 0.017, N = 3SE +/- 0.010, N = 3SE +/- 0.038, N = 32.3522.3602.442MIN: 2.31 / MAX: 4.65MIN: 2.32 / MAX: 2.81MIN: 2.34 / MAX: 8.261. (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: squeezenetv1.11231.12952.2593.38854.5185.6475SE +/- 0.054, N = 3SE +/- 0.334, N = 3SE +/- 0.083, N = 34.4485.0204.550MIN: 4.27 / MAX: 4.84MIN: 4.34 / MAX: 17.47MIN: 4.34 / MAX: 18.131. (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-v2-50123918273645SE +/- 0.40, N = 3SE +/- 0.27, N = 3SE +/- 0.37, N = 341.2140.7440.92MIN: 39.73 / MAX: 71.78MIN: 39.97 / MAX: 71.08MIN: 39.84 / MAX: 70.971. (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 +/- 0.078, N = 3SE +/- 0.028, N = 3SE +/- 0.108, N = 36.9557.1357.039MIN: 6.67 / MAX: 7.55MIN: 6.88 / MAX: 7.75MIN: 6.72 / MAX: 14.41. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_2241231.11062.22123.33184.44245.553SE +/- 0.048, N = 3SE +/- 0.081, N = 3SE +/- 0.093, N = 34.7614.8014.936MIN: 4.67 / MAX: 5.11MIN: 4.62 / MAX: 5.17MIN: 4.61 / MAX: 16.731. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.01231.23212.46423.69634.92846.1605SE +/- 0.050, N = 3SE +/- 0.104, N = 3SE +/- 0.191, N = 35.0765.4765.351MIN: 4.91 / MAX: 5.77MIN: 4.96 / MAX: 20.1MIN: 4.98 / MAX: 24.341. (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-v31231224364860SE +/- 0.93, N = 3SE +/- 1.10, N = 3SE +/- 1.50, N = 353.0353.8054.73MIN: 50.13 / MAX: 92MIN: 50.36 / MAX: 100.8MIN: 50.15 / MAX: 126.161. (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: mobilenet123714212835SE +/- 0.39, N = 3SE +/- 0.08, N = 3SE +/- 0.29, N = 1430.9131.2331.74MIN: 29.9 / MAX: 31.56MIN: 30.94 / MAX: 31.86MIN: 30.22 / MAX: 85.941. (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-v2123246810SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 148.708.648.24MIN: 8.55 / MAX: 9.22MIN: 8.3 / MAX: 8.87MIN: 7.83 / MAX: 89.61. (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-v3123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 146.976.976.93MIN: 6.92 / MAX: 7.27MIN: 6.91 / MAX: 7.04MIN: 6.78 / MAX: 10.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v2123246810SE +/- 0.61, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 146.355.735.78MIN: 5.63 / MAX: 109.79MIN: 5.68 / MAX: 5.95MIN: 5.7 / MAX: 8.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 146.936.936.77MIN: 6.88 / MAX: 7.04MIN: 6.89 / MAX: 7.16MIN: 6.57 / MAX: 9.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b01233691215SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 1411.4211.5111.67MIN: 11.22 / MAX: 11.8MIN: 11.42 / MAX: 11.83MIN: 11.25 / MAX: 146.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface1230.53781.07561.61342.15122.689SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 142.312.312.39MIN: 2.24 / MAX: 2.48MIN: 2.24 / MAX: 2.5MIN: 2.19 / MAX: 75.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet123612182430SE +/- 0.19, N = 3SE +/- 0.85, N = 3SE +/- 0.17, N = 1424.5524.9325.03MIN: 23.97 / MAX: 25.25MIN: 23.77 / MAX: 95.34MIN: 24 / MAX: 85.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg1612320406080100SE +/- 1.72, N = 3SE +/- 0.68, N = 3SE +/- 0.46, N = 14108.52107.56107.46MIN: 105.01 / MAX: 176.49MIN: 104.9 / MAX: 153.6MIN: 105.06 / MAX: 182.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet18123612182430SE +/- 0.46, N = 3SE +/- 0.34, N = 3SE +/- 0.45, N = 1426.5427.0827.09MIN: 25.62 / MAX: 27.55MIN: 26.2 / MAX: 27.77MIN: 25.63 / MAX: 160.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet123612182430SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.25, N = 1423.4023.7723.97MIN: 22.98 / MAX: 24.34MIN: 23.52 / MAX: 24.21MIN: 22.89 / MAX: 73.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet501231224364860SE +/- 2.03, N = 3SE +/- 1.31, N = 3SE +/- 0.57, N = 1451.0352.0651.55MIN: 48.84 / MAX: 264.27MIN: 48.28 / MAX: 171.59MIN: 48.76 / MAX: 233.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny1231020304050SE +/- 0.54, N = 3SE +/- 1.27, N = 3SE +/- 0.36, N = 1442.9945.1543.95MIN: 41.85 / MAX: 44.37MIN: 43.34 / MAX: 106.12MIN: 41.79 / MAX: 84.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd123918273645SE +/- 1.21, N = 3SE +/- 1.98, N = 3SE +/- 0.51, N = 1438.7439.0238.67MIN: 37.25 / MAX: 87.87MIN: 36.73 / MAX: 177.89MIN: 36.68 / MAX: 104.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m12348121620SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 1413.8613.9414.03MIN: 13.7 / MAX: 14.13MIN: 13.89 / MAX: 14.4MIN: 13.61 / MAX: 117.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

Target: CPU - Model: DenseNet

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet1239001800270036004500SE +/- 6.57, N = 3SE +/- 13.74, N = 3SE +/- 12.37, N = 34071.484079.514063.93MIN: 4014.7 / MAX: 4261.74MIN: 4020.92 / MAX: 4284.93MIN: 4015.22 / MAX: 4221.71. (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 v212370140210280350SE +/- 0.99, N = 3SE +/- 1.63, N = 3SE +/- 0.42, N = 3312.39312.65311.98MIN: 309.99 / MAX: 357.58MIN: 309.82 / MAX: 318.31MIN: 310.75 / MAX: 342.591. (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 v212320406080100SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 377.6477.6577.36MIN: 77.29 / MAX: 78.21MIN: 77.32 / MAX: 83.4MIN: 77.2 / MAX: 77.571. (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 v1.112360120180240300SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.44, N = 3285.83286.32285.80MIN: 285.47 / MAX: 300.65MIN: 285.64 / MAX: 317.87MIN: 285.18 / MAX: 317.821. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Phoronix Test Suite v10.8.4