test_002

AMD Ryzen 9 7900X3D 12-Core testing with a ASUS ProArt B650-CREATOR (2007 BIOS) and ASUS NVIDIA GeForce RTX 3070 8GB on Ubuntu 24.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2410181-NE-TEST0022402&grw.

test_002ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolutiontest_002AMD Ryzen 9 7900X3D 12-Core @ 5.66GHz (12 Cores / 24 Threads)ASUS ProArt B650-CREATOR (2007 BIOS)AMD Device 14d82 x 32 GB DDR5-4800MT/s Kingston KF556C36-322000GB Samsung SSD 990 PRO 2TBASUS NVIDIA GeForce RTX 3070 8GBNVIDIA GA104 HD AudioHP E242Realtek RTL8111/8168/8211/8411 + Realtek RTL8125 2.5GbEUbuntu 24.046.8.0-47-generic (x86_64)GNOME Shell 46.0X Server 1.21.1.11NVIDIA 560.35.03GCC 13.2.0 + CUDA 12.6ext41920x1200OpenBenchmarking.org- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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 - Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601206 - GLAMOR - BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.3a.40.2d- GPU Compute Cores: 5888- Python 3.12.3- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

test_002betsy: ETC1 - Highestbetsy: ETC2 RGB - Highestncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetgromacs: NVIDIA CUDA GPU - water_GMX50_bareblender: BMW27 - NVIDIA OptiXblender: Junkshop - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - NVIDIA OptiXneatbench: GPUindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUfahbench: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSmixbench: NVIDIA CUDA - Integermixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Single Precisionnamd-cuda: ATPase Simulation - 327,506 Atomsoctanebench: Total Scoreviennacl: CPU BLAS - sCOPYviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-TTrealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yestest_002166.577165.42211.974.584.594.844.275.972.0011.7235.817.465.7415.1511.9718.609.8011.4854.225.5015.11210.4417.8626.2818.0189.6929.06307013.17536.8498.485.898.407.4723.13269.6185410672000001257613333365530018694666674839679956.8722007.25301.6121228.420.09577399.09468226138124581.6125119.113215459.556.963.460.78.99348.7814.661OpenBenchmarking.org

Betsy GPU Compressor

Codec: ETC1 - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highesttest_0024080120160200SE +/- 1.14, N = 3166.58

Betsy GPU Compressor

Codec: ETC2 RGB - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: Highesttest_0024080120160200SE +/- 0.04, N = 3165.42

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenettest_0023691215SE +/- 0.13, N = 1511.97MIN: 8.76 / MAX: 160.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2test_0021.03052.0613.09154.1225.1525SE +/- 0.11, N = 154.58MIN: 3.39 / MAX: 181.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3test_0021.03282.06563.09844.13125.164SE +/- 0.16, N = 154.59MIN: 3.43 / MAX: 129.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2test_0021.0892.1783.2674.3565.445SE +/- 0.06, N = 154.84MIN: 3.5 / MAX: 147.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnettest_0020.96081.92162.88243.84324.804SE +/- 0.07, N = 154.27MIN: 3.16 / MAX: 133.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0test_0021.34332.68664.02995.37326.7165SE +/- 0.24, N = 155.97MIN: 4.13 / MAX: 180.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefacetest_0020.450.91.351.82.25SE +/- 0.10, N = 152.00MIN: 1.04 / MAX: 76.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenettest_0023691215SE +/- 0.17, N = 1511.72MIN: 8 / MAX: 244.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16test_002816243240SE +/- 0.59, N = 1535.81MIN: 25.17 / MAX: 344.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18test_002246810SE +/- 0.20, N = 157.46MIN: 5.16 / MAX: 294.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnettest_0021.29152.5833.87455.1666.4575SE +/- 0.18, N = 155.74MIN: 3.82 / MAX: 213.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50test_00248121620SE +/- 0.19, N = 1515.15MIN: 10.79 / MAX: 156.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3test_0023691215SE +/- 0.13, N = 1511.97MIN: 8.76 / MAX: 160.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinytest_002510152025SE +/- 0.19, N = 1518.60MIN: 13.38 / MAX: 316.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdtest_0023691215SE +/- 0.16, N = 159.80MIN: 6.81 / MAX: 182.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mtest_0023691215SE +/- 0.16, N = 1511.48MIN: 7.77 / MAX: 272.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformertest_0021224364860SE +/- 0.28, N = 1554.22MIN: 40.42 / MAX: 312.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDettest_0021.23752.4753.71254.956.1875SE +/- 0.15, N = 155.50MIN: 3.02 / MAX: 153.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GROMACS

Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: NVIDIA CUDA GPU - Input: water_GMX50_baretest_00248121620SE +/- 0.02, N = 315.111. (CXX) g++ options: -O3 -lm

Blender

Blend File: BMW27 - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: BMW27 - Compute: NVIDIA OptiXtest_0023691215SE +/- 0.07, N = 1310.44

Blender

Blend File: Junkshop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Junkshop - Compute: NVIDIA OptiXtest_00248121620SE +/- 0.17, N = 617.86

Blender

Blend File: Classroom - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Classroom - Compute: NVIDIA OptiXtest_002612182430SE +/- 0.04, N = 326.28

Blender

Blend File: Fishy Cat - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Fishy Cat - Compute: NVIDIA OptiXtest_00248121620SE +/- 0.07, N = 318.01

Blender

Blend File: Barbershop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Barbershop - Compute: NVIDIA OptiXtest_00220406080100SE +/- 0.05, N = 389.69

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXtest_002714212835SE +/- 0.01, N = 329.06

NeatBench

Acceleration: GPU

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUtest_0027001400210028003500SE +/- 0.00, N = 33070

IndigoBench

Acceleration: OpenCL GPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: Bedroomtest_0023691215SE +/- 0.00, N = 313.18

IndigoBench

Acceleration: OpenCL GPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: Supercartest_002816243240SE +/- 0.05, N = 336.85

LuxCoreRender

Scene: DLSC - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPUtest_002246810SE +/- 0.00, N = 38.48MIN: 8.35 / MAX: 8.66

LuxCoreRender

Scene: Danish Mood - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPUtest_0021.32532.65063.97595.30126.6265SE +/- 0.05, N = 35.89MIN: 2.03 / MAX: 7.03

LuxCoreRender

Scene: Orange Juice - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPUtest_002246810SE +/- 0.05, N = 38.40MIN: 6.8 / MAX: 10.5

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPUtest_002246810SE +/- 0.02, N = 37.47MIN: 2.84 / MAX: 8.69

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPUtest_002612182430SE +/- 0.02, N = 323.13MIN: 21.09 / MAX: 24.5

FAHBench

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2test_00260120180240300SE +/- 0.08, N = 3269.62

Hashcat

Benchmark: MD5

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5test_0029000M18000M27000M36000M45000MSE +/- 44800334.82, N = 341067200000

Hashcat

Benchmark: SHA1

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1test_0023000M6000M9000M12000M15000MSE +/- 138456013.87, N = 312576133333

Hashcat

Benchmark: 7-Zip

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-Ziptest_002140K280K420K560K700KSE +/- 1307.67, N = 3655300

Hashcat

Benchmark: SHA-512

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512test_002400M800M1200M1600M2000MSE +/- 1041366.62, N = 31869466667

Hashcat

Benchmark: TrueCrypt RIPEMD160 + XTS

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTStest_002100K200K300K400K500KSE +/- 617.34, N = 3483967

Mixbench

Backend: NVIDIA CUDA - Benchmark: Integer

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Integertest_0022K4K6K8K10KSE +/- 7.01, N = 39956.871. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Mixbench

Backend: NVIDIA CUDA - Benchmark: Half Precision

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half Precisiontest_0025K10K15K20K25KSE +/- 4.65, N = 322007.251. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Mixbench

Backend: NVIDIA CUDA - Benchmark: Double Precision

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double Precisiontest_00270140210280350SE +/- 1.01, N = 3301.611. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Mixbench

Backend: NVIDIA CUDA - Benchmark: Single Precision

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single Precisiontest_0025K10K15K20K25KSE +/- 125.04, N = 321228.421. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

NAMD CUDA

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 Atomstest_0020.02150.0430.06450.0860.1075SE +/- 0.00092, N = 30.09577

OctaneBench

Total Score

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total Scoretest_00290180270360450399.09

ViennaCL

Test: CPU BLAS - sCOPY

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYtest_00260120180240300SE +/- 5.00, N = 152611. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - sAXPY

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYtest_00280160240320400SE +/- 7.10, N = 153811. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - sDOT

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTtest_00250100150200250SE +/- 4.92, N = 152451. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dCOPY

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYtest_00220406080100SE +/- 1.23, N = 1581.61. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dAXPY

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYtest_002306090120150SE +/- 1.26, N = 151251. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dDOT

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTtest_002306090120150SE +/- 2.04, N = 15119.11. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dGEMV-N

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Ntest_002306090120150SE +/- 2.64, N = 151321. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dGEMV-T

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Ttest_002306090120150SE +/- 3.34, N = 151541. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dGEMM-NN

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNtest_0021326395265SE +/- 0.19, N = 1559.51. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dGEMM-NT

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTtest_0021326395265SE +/- 0.13, N = 1556.91. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dGEMM-TN

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNtest_0021428425670SE +/- 0.35, N = 1563.41. (CXX) g++ options: -fopenmp -O3 -rdynamic

ViennaCL

Test: CPU BLAS - dGEMM-TT

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTtest_0021428425670SE +/- 0.27, N = 1560.71. (CXX) g++ options: -fopenmp -O3 -rdynamic

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Notest_0023691215SE +/- 0.007, N = 38.993

RealSR-NCNN

Scale: 4x - TAA: Yes

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yestest_0021122334455SE +/- 0.09, N = 348.78

Waifu2x-NCNN Vulkan

Scale: 2x - Denoise: 3 - TAA: Yes

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yestest_0021.04872.09743.14614.19485.2435SE +/- 0.004, N = 34.661


Phoronix Test Suite v10.8.5