new stuff Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1662 BIOS) and XFX AMD Radeon RX 7900 XTX 24GB on Ubuntu 24.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2408118-PTS-NEWSTUFF04&gru .
new stuff Processor Motherboard Chipset Memory Disk Graphics Audio Monitor OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c d 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 XFX AMD Radeon RX 7900 XTX 24GB 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) (LLVM 17.0.6 DRM 3.57) 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 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
new stuff simdjson: Kostya simdjson: TopTweet simdjson: LargeRand simdjson: PartialTweets simdjson: DistinctUserID lczero: BLAS lczero: Eigen mnn: nasnet mnn: mobilenetV3 mnn: squeezenetv1.1 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 y-cruncher: 1B y-cruncher: 500M xnnpack: FP32MobileNetV2 xnnpack: FP32MobileNetV3Large xnnpack: FP32MobileNetV3Small xnnpack: FP16MobileNetV2 xnnpack: FP16MobileNetV3Large xnnpack: FP16MobileNetV3Small xnnpack: QU8MobileNetV2 xnnpack: QU8MobileNetV3Large xnnpack: QU8MobileNetV3Small a b c d 5.36 7.10 1.99 8.18 8.37 201 182 6.873 0.888 1.756 12.647 2.742 1.895 2.038 15.983 21.576 9.822 1122 1599 698 1309 1463 781 949 1167 719 5.36 8.51 1.99 8.18 7.22 201 175 6.656 0.887 1.804 12.48 2.808 1.934 1.99 16.011 21.368 9.777 1107 1492 676 1285 1462 976 974 1195 740 5.36 8.52 1.99 8.19 8.67 206 173 6.695 0.969 1.729 12.782 2.835 1.936 1.985 15.858 21.048 9.474 1183 1500 689 1311 1447 790 944 1160 717 5.36 8.52 1.98 8.18 7.21 195 183 6.574 0.901 1.657 12.434 2.839 1.831 2.026 15.821 21.284 9.847 1411 1648 686 1282 1446 765 932 1164 1192 OpenBenchmarking.org
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: Kostya a b c d 1.206 2.412 3.618 4.824 6.03 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 5.36 5.36 5.36 5.36 1. (CXX) g++ options: -O3 -lrt
simdjson Throughput Test: TopTweet OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: TopTweet a b c d 2 4 6 8 10 SE +/- 0.00, N = 3 7.10 8.51 8.52 8.52 1. (CXX) g++ options: -O3 -lrt
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: LargeRandom a b c d 0.4478 0.8956 1.3434 1.7912 2.239 SE +/- 0.00, N = 3 1.99 1.99 1.99 1.98 1. (CXX) g++ options: -O3 -lrt
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: PartialTweets a b c d 2 4 6 8 10 SE +/- 0.00, N = 3 8.18 8.18 8.19 8.18 1. (CXX) g++ options: -O3 -lrt
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: DistinctUserID a b c d 2 4 6 8 10 SE +/- 0.15, N = 15 8.37 7.22 8.67 7.21 1. (CXX) g++ options: -O3 -lrt
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.31.1 Backend: BLAS a b c d 50 100 150 200 250 SE +/- 2.65, N = 3 SE +/- 1.00, N = 3 201 201 206 195 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.31.1 Backend: Eigen a b c d 40 80 120 160 200 SE +/- 1.67, N = 3 SE +/- 1.20, N = 3 182 175 173 183 1. (CXX) g++ options: -flto -pthread
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: nasnet a b c d 2 4 6 8 10 SE +/- 0.086, N = 3 6.873 6.656 6.695 6.574 MIN: 6.27 / MAX: 17.19 MIN: 6.26 / MAX: 13.26 MIN: 6.3 / MAX: 13.41 MIN: 6.25 / MAX: 12.43 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
Mobile Neural Network Model: mobilenetV3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 a b c d 0.218 0.436 0.654 0.872 1.09 SE +/- 0.001, N = 3 0.888 0.887 0.969 0.901 MIN: 0.86 / MAX: 1.26 MIN: 0.86 / MAX: 1.16 MIN: 0.87 / MAX: 1.99 MIN: 0.88 / MAX: 1.25 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
Mobile Neural Network Model: squeezenetv1.1 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 a b c d 0.4059 0.8118 1.2177 1.6236 2.0295 SE +/- 0.044, N = 3 1.756 1.804 1.729 1.657 MIN: 1.56 / MAX: 3.64 MIN: 1.61 / MAX: 3.68 MIN: 1.61 / MAX: 2.89 MIN: 1.55 / MAX: 3.68 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
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 a b c d 3 6 9 12 15 SE +/- 0.04, N = 3 12.65 12.48 12.78 12.43 MIN: 11.77 / MAX: 24.63 MIN: 11.78 / MAX: 24.73 MIN: 12.04 / MAX: 24.51 MIN: 11.91 / MAX: 23.8 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
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 a b c d 0.6388 1.2776 1.9164 2.5552 3.194 SE +/- 0.027, N = 3 2.742 2.808 2.835 2.839 MIN: 2.51 / MAX: 6.32 MIN: 2.51 / MAX: 5.35 MIN: 2.61 / MAX: 4.48 MIN: 2.53 / MAX: 4.59 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
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 a b c d 0.4356 0.8712 1.3068 1.7424 2.178 SE +/- 0.067, N = 3 1.895 1.934 1.936 1.831 MIN: 1.72 / MAX: 3.17 MIN: 1.73 / MAX: 3.11 MIN: 1.71 / MAX: 2.97 MIN: 1.78 / MAX: 2.14 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
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 c d 0.4586 0.9172 1.3758 1.8344 2.293 SE +/- 0.030, N = 3 2.038 1.990 1.985 2.026 MIN: 1.79 / MAX: 5.04 MIN: 1.79 / MAX: 2.23 MIN: 1.79 / MAX: 2.54 MIN: 1.79 / MAX: 2.99 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
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: inception-v3 a b c d 4 8 12 16 20 SE +/- 0.05, N = 3 15.98 16.01 15.86 15.82 MIN: 14.76 / MAX: 31.12 MIN: 14.85 / MAX: 31.93 MIN: 14.73 / MAX: 30.32 MIN: 14.77 / MAX: 31.16 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
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B a b c d 5 10 15 20 25 SE +/- 0.25, N = 3 21.58 21.37 21.05 21.28
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M a b c d 3 6 9 12 15 SE +/- 0.131, N = 3 9.822 9.777 9.474 9.847
XNNPACK Model: FP32MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP32MobileNetV2 a b c d 300 600 900 1200 1500 SE +/- 11.92, N = 3 1122 1107 1183 1411 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP32MobileNetV3Large a b c d 400 800 1200 1600 2000 SE +/- 32.04, N = 3 1599 1492 1500 1648 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP32MobileNetV3Small a b c d 150 300 450 600 750 SE +/- 0.67, N = 3 698 676 689 686 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP16MobileNetV2 a b c d 300 600 900 1200 1500 SE +/- 11.05, N = 3 1309 1285 1311 1282 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP16MobileNetV3Large a b c d 300 600 900 1200 1500 SE +/- 9.49, N = 3 1463 1462 1447 1446 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP16MobileNetV3Small a b c d 200 400 600 800 1000 SE +/- 6.39, N = 3 781 976 790 765 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: QU8MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: QU8MobileNetV2 a b c d 200 400 600 800 1000 SE +/- 7.17, N = 3 949 974 944 932 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: QU8MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: QU8MobileNetV3Large a b c d 300 600 900 1200 1500 SE +/- 9.33, N = 3 1167 1195 1160 1164 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: QU8MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: QU8MobileNetV3Small a b c d 300 600 900 1200 1500 SE +/- 4.84, N = 3 719 740 717 1192 1. (CXX) g++ options: -O3 -lrt -lm
Phoronix Test Suite v10.8.5