dsdfds Tests for a future article. Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1662 BIOS) and ASUS Intel RPL-S 16GB on Ubuntu 24.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2410198-PTS-DSDFDS0587&grs&sor .
dsdfds Processor Motherboard Chipset Memory Disk Graphics Audio Monitor OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads) ASUS PRIME Z790-P WIFI (1662 BIOS) Intel Raptor Lake-S PCH 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36 Western Digital WD_BLACK SN850X 2000GB ASUS Intel RPL-S 16GB Realtek ALC897 ASUS VP28U Ubuntu 24.04 6.10.0-061000rc6daily20240706-generic (x86_64) GNOME Shell 46.0 X Server 1.21.1.11 + Wayland 4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) GCC 13.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --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 Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x129 - Thermald 2.5.6 Java Details - OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1) Security Details - 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: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + 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; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected
dsdfds litert: NASNet Mobile litert: DeepLab V3 xnnpack: FP32MobileNetV1 xnnpack: FP16MobileNetV1 mnn: squeezenetv1.1 litert: Mobilenet Quant mnn: mobilenetV3 litert: Inception ResNet V2 mnn: MobileNetV2_224 xnnpack: FP16MobileNetV3Large namd: ATPase with 327,506 Atoms litert: Quantized COCO SSD MobileNet v1 cassandra: Writes byte: Whetstone Double onednn: Recurrent Neural Network Inference - CPU xnnpack: FP32MobileNetV3Large xnnpack: FP32MobileNetV2 xnnpack: FP32MobileNetV3Small xnnpack: FP16MobileNetV3Small mnn: resnet-v2-50 litert: Inception V4 xnnpack: QS8MobileNetV2 build2: Time To Compile byte: Dhrystone 2 mnn: SqueezeNetV1.0 litert: SqueezeNet mnn: nasnet litert: Mobilenet Float namd: STMV with 1,066,628 Atoms byte: Pipe onednn: IP Shapes 1D - CPU onednn: Deconvolution Batch shapes_3d - CPU mnn: inception-v3 onednn: Deconvolution Batch shapes_1d - CPU byte: System Call onednn: IP Shapes 3D - CPU xnnpack: FP16MobileNetV2 onednn: Convolution Batch Shapes Auto - CPU mnn: mobilenet-v1-1.0 onednn: Recurrent Neural Network Training - CPU a b 19510.7 4619.23 1052 1667 1.818 3256.23 0.973 28238.6 1.815 1574 1.52846 3200.84 306186 307795.5 1116.11 1285 1035 728 841 12.629 17993.1 786 88.383 1899605032.6 2.72 1382.17 6.746 986.147 0.45061 72384778.6 1.99276 4.03162 15.832 3.68079 65518076.8 6.67614 1361 6.18577 2.061 2118.22 13872.3 5977.32 1293 1957 1.594 2963.55 0.887 30330.4 1.93 1496 1.45419 3059.11 293824 319189.9 1085.07 1321 1016 716 828 12.44 17757.9 776 87.528 1917381047.3 2.697 1371.34 6.698 992.639 0.44767 71939326.6 1.98251 4.01431 15.887 3.67048 65688838.3 6.65975 1358 6.19464 2.063 2116.9 OpenBenchmarking.org
LiteRT Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: NASNet Mobile b a 4K 8K 12K 16K 20K 13872.3 19510.7
LiteRT Model: DeepLab V3 OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: DeepLab V3 a b 1300 2600 3900 5200 6500 4619.23 5977.32
XNNPACK Model: FP32MobileNetV1 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP32MobileNetV1 a b 300 600 900 1200 1500 1052 1293 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV1 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP16MobileNetV1 a b 400 800 1200 1600 2000 1667 1957 1. (CXX) g++ options: -O3 -lrt -lm
Mobile Neural Network Model: squeezenetv1.1 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 b a 0.4091 0.8182 1.2273 1.6364 2.0455 1.594 1.818 MIN: 1.57 / MAX: 1.9 MIN: 1.61 / MAX: 3.77 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
LiteRT Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Mobilenet Quant b a 700 1400 2100 2800 3500 2963.55 3256.23
Mobile Neural Network Model: mobilenetV3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 b a 0.2189 0.4378 0.6567 0.8756 1.0945 0.887 0.973 MIN: 0.86 / MAX: 1.12 MIN: 0.88 / MAX: 1.68 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
LiteRT Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Inception ResNet V2 a b 6K 12K 18K 24K 30K 28238.6 30330.4
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 a b 0.4343 0.8686 1.3029 1.7372 2.1715 1.815 1.930 MIN: 1.71 / MAX: 2.73 MIN: 1.71 / MAX: 2.92 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
XNNPACK Model: FP16MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP16MobileNetV3Large b a 300 600 900 1200 1500 1496 1574 1. (CXX) g++ options: -O3 -lrt -lm
NAMD Input: ATPase with 327,506 Atoms OpenBenchmarking.org ns/day, More Is Better NAMD 3.0 Input: ATPase with 327,506 Atoms a b 0.3439 0.6878 1.0317 1.3756 1.7195 1.52846 1.45419
LiteRT Model: Quantized COCO SSD MobileNet v1 OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 b a 700 1400 2100 2800 3500 3059.11 3200.84
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 5.0 Test: Writes a b 70K 140K 210K 280K 350K 306186 293824
BYTE Unix Benchmark Computational Test: Whetstone Double OpenBenchmarking.org MWIPS, More Is Better BYTE Unix Benchmark 5.1.3-git Computational Test: Whetstone Double b a 70K 140K 210K 280K 350K 319189.9 307795.5 1. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm
oneDNN Harness: Recurrent Neural Network Inference - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU b a 200 400 600 800 1000 1085.07 1116.11 MIN: 1043.53 MIN: 1040.59 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
XNNPACK Model: FP32MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP32MobileNetV3Large a b 300 600 900 1200 1500 1285 1321 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP32MobileNetV2 b a 200 400 600 800 1000 1016 1035 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP32MobileNetV3Small b a 160 320 480 640 800 716 728 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP16MobileNetV3Small b a 200 400 600 800 1000 828 841 1. (CXX) g++ options: -O3 -lrt -lm
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 b a 3 6 9 12 15 12.44 12.63 MIN: 11.71 / MAX: 25.47 MIN: 11.96 / MAX: 24.59 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
LiteRT Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Inception V4 b a 4K 8K 12K 16K 20K 17757.9 17993.1
XNNPACK Model: QS8MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: QS8MobileNetV2 b a 200 400 600 800 1000 776 786 1. (CXX) g++ options: -O3 -lrt -lm
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.17 Time To Compile b a 20 40 60 80 100 87.53 88.38
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 5.1.3-git Computational Test: Dhrystone 2 b a 400M 800M 1200M 1600M 2000M 1917381047.3 1899605032.6 1. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 b a 0.612 1.224 1.836 2.448 3.06 2.697 2.720 MIN: 2.49 / MAX: 4.3 MIN: 2.5 / MAX: 4.26 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
LiteRT Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: SqueezeNet b a 300 600 900 1200 1500 1371.34 1382.17
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: nasnet b a 2 4 6 8 10 6.698 6.746 MIN: 6.26 / MAX: 13.37 MIN: 6.27 / MAX: 14.18 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
LiteRT Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Mobilenet Float a b 200 400 600 800 1000 986.15 992.64
NAMD Input: STMV with 1,066,628 Atoms OpenBenchmarking.org ns/day, More Is Better NAMD 3.0 Input: STMV with 1,066,628 Atoms a b 0.1014 0.2028 0.3042 0.4056 0.507 0.45061 0.44767
BYTE Unix Benchmark Computational Test: Pipe OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 5.1.3-git Computational Test: Pipe a b 16M 32M 48M 64M 80M 72384778.6 71939326.6 1. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm
oneDNN Harness: IP Shapes 1D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU b a 0.4484 0.8968 1.3452 1.7936 2.242 1.98251 1.99276 MIN: 1.8 MIN: 1.81 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU b a 0.9071 1.8142 2.7213 3.6284 4.5355 4.01431 4.03162 MIN: 3.75 MIN: 3.78 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: inception-v3 a b 4 8 12 16 20 15.83 15.89 MIN: 14.78 / MAX: 27.51 MIN: 14.84 / MAX: 27.53 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU b a 0.8282 1.6564 2.4846 3.3128 4.141 3.67048 3.68079 MIN: 3.38 MIN: 3.37 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
BYTE Unix Benchmark Computational Test: System Call OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 5.1.3-git Computational Test: System Call b a 14M 28M 42M 56M 70M 65688838.3 65518076.8 1. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm
oneDNN Harness: IP Shapes 3D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU b a 2 4 6 8 10 6.65975 6.67614 MIN: 6.25 MIN: 6.22 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
XNNPACK Model: FP16MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP16MobileNetV2 b a 300 600 900 1200 1500 1358 1361 1. (CXX) g++ options: -O3 -lrt -lm
oneDNN Harness: Convolution Batch Shapes Auto - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU a b 2 4 6 8 10 6.18577 6.19464 MIN: 5.97 MIN: 5.96 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 a b 0.4642 0.9284 1.3926 1.8568 2.321 2.061 2.063 MIN: 1.8 / MAX: 5.06 MIN: 1.81 / MAX: 5.01 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
oneDNN Harness: Recurrent Neural Network Training - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU b a 500 1000 1500 2000 2500 2116.90 2118.22 MIN: 2049.88 MIN: 2050.34 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
Phoronix Test Suite v10.8.5