gtx-titan-x

Intel Core i9-7980XE testing with a ASUS PRIME X299-A (1704 BIOS) and NVIDIA GeForce GTX TITAN X 12GB on Ubuntu 19.04 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 1909272-AS-GTXTITANX02
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GeForce GTX TITAN X
September 26 2019
  11 Minutes
Intel Core i9-7980XE
September 26 2019
  11 Hours, 46 Minutes
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gtx-titan-x OpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-7980XE @ 4.20GHz (18 Cores / 36 Threads)ASUS PRIME X299-A (1704 BIOS)Intel Sky Lake-E DMI3 Registers16384MBSamsung SSD 970 EVO 500GBNVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz)Realtek ALC1220ASUS PB278Intel I219-VUbuntu 19.045.0.0-29-generic (x86_64)GNOME Shell 3.32.0X Server 1.20.4NVIDIA 418.564.6.0OpenCL 1.2 CUDA 10.1.133GCC 8.3.0ext42560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionGtx-titan-x BenchmarksSystem Logs- --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 - Scaling Governor: intel_pstate powersave- GPU Compute Cores: 3072- Python 2.7.16 + Python 3.7.3- l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

gtx-titan-x octanebench: Total Scorelczero: BLASlczero: Randsvt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 8 - 1080pplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG19 - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - ResNet 50 - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLplaidml: No - Inference - NASNer Large - OpenCLGeForce GTX TITAN XIntel Core i9-7980XE155.5841.881090120.065.2846.551.671.342.0134.625.842.480.60OpenBenchmarking.org

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00cTotal ScoreGeForce GTX TITAN X306090120150155.58

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.22.0Backend: BLASGeForce GTX TITAN X1020304050SE +/- 0.94, N = 1541.881. (CXX) g++ options: -lpthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.22.0Backend: RandomGeForce GTX TITAN X20K40K60K80K100KSE +/- 450.43, N = 31090121. (CXX) g++ options: -lpthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 0 - Input: 1080pIntel Core i9-7980XE0.01350.0270.04050.0540.0675SE +/- 0.00, N = 60.061. (CXX) g++ options: -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 4 - Input: 1080pIntel Core i9-7980XE1.1882.3763.5644.7525.94SE +/- 0.01, N = 35.281. (CXX) g++ options: -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.7Encoder Mode: Enc Mode 8 - Input: 1080pIntel Core i9-7980XE1122334455SE +/- 0.16, N = 346.551. (CXX) g++ options: -fPIE -fPIC -pie

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLIntel Core i9-7980XE0.37580.75161.12741.50321.879SE +/- 0.09, N = 91.67

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLIntel Core i9-7980XE0.30150.6030.90451.2061.5075SE +/- 0.08, N = 91.34

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLIntel Core i9-7980XE0.45230.90461.35691.80922.2615SE +/- 0.00, N = 32.01

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLIntel Core i9-7980XE816243240SE +/- 0.08, N = 334.62

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLIntel Core i9-7980XE1.3142.6283.9425.2566.57SE +/- 0.06, N = 85.84

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLIntel Core i9-7980XE0.5581.1161.6742.2322.79SE +/- 0.00, N = 32.48

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCLIntel Core i9-7980XE0.1350.270.4050.540.675SE +/- 0.00, N = 30.60