rrrr AMD Ryzen 7 PRO 5850U testing with a LENOVO ThinkPad T14s Gen 2a 20XF004WUS (R1NET57W 1.27 BIOS) and AMD Radeon Vega / Mobile 1GB on Ubuntu 24.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2411158-NE-RRRR1408761&grt .
rrrr Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c AMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads) LENOVO ThinkPad T14s Gen 2a 20XF004WUS (R1NET57W 1.27 BIOS) AMD Renoir/Cezanne 2 x 16GB LPDDR4-4266MT/s Micron MT53E2G32D4NQ-046 1024GB SAMSUNG MZVLB1T0HBLR-000L7 AMD Radeon Vega / Mobile 1GB AMD Renoir Radeon HD Audio Realtek RTL8111/8168/8211/8411 + MEDIATEK MT7921 802.11ax PCI Ubuntu 24.04 6.10.0-061000rc4daily20240621-generic (x86_64) GNOME Shell 46.0 X Server + Wayland 4.6 Mesa 24.2~git2407150600.d94a40~oibaf~n (git-d94a40f 2024-07-15 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57) GCC 13.2.0 ext4 1920x1080 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: amd-pstate-epp powersave (EPP: balance_performance) - Platform Profile: balanced - CPU Microcode: 0xa50000d - ACPI Profile: balanced Graphics Details - BAR1 / Visible vRAM Size: 1024 MB Java Details - OpenJDK Runtime Environment (build 21.0.4+7-Ubuntu-1ubuntu224.04) 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: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
rrrr cassandra: Writes build2: Time To Compile byte: Pipe byte: Dhrystone 2 byte: System Call byte: Whetstone Double lczero: BLAS lczero: Eigen litert: DeepLab V3 litert: SqueezeNet litert: Inception V4 litert: NASNet Mobile litert: Mobilenet Float litert: Mobilenet Quant litert: Inception ResNet V2 litert: Quantized COCO SSD MobileNet v1 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 namd: ATPase with 327,506 Atoms namd: STMV with 1,066,628 Atoms onednn: IP Shapes 1D - CPU onednn: IP Shapes 3D - CPU onednn: Convolution Batch Shapes Auto - CPU onednn: Deconvolution Batch shapes_1d - CPU onednn: Deconvolution Batch shapes_3d - CPU onednn: Recurrent Neural Network Training - CPU onednn: Recurrent Neural Network Inference - CPU encode-opus: WAV To Opus Encode primesieve: 1e12 simdjson: Kostya simdjson: TopTweet simdjson: LargeRand simdjson: PartialTweets simdjson: DistinctUserID stockfish: Chess Benchmark supertuxkart: 1920 x 1080 - Low - OpenGL - Steady FPS supertuxkart: 1920 x 1080 - Low - OpenGL - Mostly Stable FPS supertuxkart: 1920 x 1080 - Low - Vulkan - Steady FPS supertuxkart: 1920 x 1080 - Low - Vulkan - Mostly Stable FPS supertuxkart: 1920 x 1080 - High - OpenGL - Steady FPS supertuxkart: 1920 x 1080 - High - OpenGL - Mostly Stable FPS supertuxkart: 1920 x 1080 - High - Vulkan - Steady FPS supertuxkart: 1920 x 1080 - High - Vulkan - Mostly Stable FPS supertuxkart: 1920 x 1080 - Medium - OpenGL - Steady FPS supertuxkart: 1920 x 1080 - Medium - OpenGL - Mostly Stable FPS supertuxkart: 1920 x 1080 - Medium - Vulkan - Steady FPS supertuxkart: 1920 x 1080 - Medium - Vulkan - Mostly Stable FPS supertuxkart: 1920 x 1080 - Ultimate - OpenGL - Steady FPS supertuxkart: 1920 x 1080 - Ultimate - OpenGL - Mostly Stable FPS supertuxkart: 1920 x 1080 - Ultimate - Vulkan - Steady FPS supertuxkart: 1920 x 1080 - Ultimate - Vulkan - Mostly Stable FPS svt-av1: Preset 3 - Bosphorus 4K svt-av1: Preset 5 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 3 - Bosphorus 1080p svt-av1: Preset 5 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p unvanquished: 1920 x 1080 - High unvanquished: 1920 x 1080 - Ultra unvanquished: 1920 x 1080 - Medium xnnpack: FP32MobileNetV1 xnnpack: FP32MobileNetV2 xnnpack: FP32MobileNetV3Large xnnpack: FP32MobileNetV3Small xnnpack: FP16MobileNetV1 xnnpack: FP16MobileNetV2 xnnpack: FP16MobileNetV3Large xnnpack: FP16MobileNetV3Small xnnpack: QS8MobileNetV2 y-cruncher: 1B y-cruncher: 500M a b c 49136 395.659 10780325.1 377235756.9 10866109.8 87134.3 30 21 4393.4 4178.46 62377.3 9669.64 3246.51 3202.9 54850.7 4397.58 13.459 1.75 2.529 23.273 6.317 3.223 3.467 35.283 0.32485 0.09783 6.84795 15.5469 25.1871 12.3237 9.82819 6026.26 3215.97 25.044 36.046 3.39 5.24 1.17 5.05 5.13 9792734 44 85 168 218 22 36 164 214 40 48 166 221 19 33 163 211 1.898 7.299 25.523 62.181 6.926 24.609 84.381 284.955 219.3 186.6 253.8 4000 2514 2485 873 4354 2810 2662 1003 1940 71.187 31.604 52044 394.909 10821318.1 379271069.5 11001447.5 86879 30 22 4683.2 4155.12 66766.2 10973.3 3414.14 3234.5 54226.7 4481.05 13.361 1.734 2.548 23.295 6.3 3.168 3.478 35.247 0.32571 0.09837 7.17336 15.5919 25.2218 13.1584 10.3179 6081.35 3219.18 27.25 38.821 3.44 5.32 1.18 4.89 5.36 11073840 66 86 166 219 20 36 165 215 27 48 169 220 19 33 164 214 1.902 7.281 25.667 63.254 6.95 24.545 84.037 286.745 224.2 184.3 255.2 4015 2520 2497 879 4367 2819 2625 1004 1941 71.584 33.722 49549 395.188 10990973.6 380536445.3 11069234.4 88780 29 21 4360.66 4135.54 62374.1 10976.5 3224.89 3166.49 54696.6 4382.42 13.319 1.726 2.535 23.256 6.254 3.15 3.473 35.208 0.32305 0.09831 6.76829 15.5017 25.1455 12.3512 9.85467 6011.76 3214.48 25.103 36.157 3.43 5.43 1.18 5 5.39 10043617 57 87 166 221 21 36 166 214 28 47 167 218 19 33 165 218 1.833 7.346 25.717 63.203 6.937 24.53 84.278 285.687 223.4 186.9 254.2 4024 2513 2489 876 4353 2809 2597 1003 1936 71.132 31.564 OpenBenchmarking.org
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 5.0 Test: Writes a b c 11K 22K 33K 44K 55K 49136 52044 49549
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.17 Time To Compile a b c 90 180 270 360 450 395.66 394.91 395.19
BYTE Unix Benchmark Computational Test: Pipe OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 5.1.3-git Computational Test: Pipe a b c 2M 4M 6M 8M 10M 10780325.1 10821318.1 10990973.6 1. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 5.1.3-git Computational Test: Dhrystone 2 a b c 80M 160M 240M 320M 400M 377235756.9 379271069.5 380536445.3 1. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm
BYTE Unix Benchmark Computational Test: System Call OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 5.1.3-git Computational Test: System Call a b c 2M 4M 6M 8M 10M 10866109.8 11001447.5 11069234.4 1. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm
BYTE Unix Benchmark Computational Test: Whetstone Double OpenBenchmarking.org MWIPS, More Is Better BYTE Unix Benchmark 5.1.3-git Computational Test: Whetstone Double a b c 20K 40K 60K 80K 100K 87134.3 86879.0 88780.0 1. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.31.1 Backend: BLAS a b c 7 14 21 28 35 30 30 29 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 5 10 15 20 25 21 22 21 1. (CXX) g++ options: -flto -pthread
LiteRT Model: DeepLab V3 OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: DeepLab V3 a b c 1000 2000 3000 4000 5000 4393.40 4683.20 4360.66
LiteRT Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: SqueezeNet a b c 900 1800 2700 3600 4500 4178.46 4155.12 4135.54
LiteRT Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Inception V4 a b c 14K 28K 42K 56K 70K 62377.3 66766.2 62374.1
LiteRT Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: NASNet Mobile a b c 2K 4K 6K 8K 10K 9669.64 10973.30 10976.50
LiteRT Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Mobilenet Float a b c 700 1400 2100 2800 3500 3246.51 3414.14 3224.89
LiteRT Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Mobilenet Quant a b c 700 1400 2100 2800 3500 3202.90 3234.50 3166.49
LiteRT Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Inception ResNet V2 a b c 12K 24K 36K 48K 60K 54850.7 54226.7 54696.6
LiteRT Model: Quantized COCO SSD MobileNet v1 OpenBenchmarking.org Microseconds, Fewer Is Better LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 a b c 1000 2000 3000 4000 5000 4397.58 4481.05 4382.42
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: nasnet a b c 3 6 9 12 15 13.46 13.36 13.32 MIN: 12.63 / MAX: 28.9 MIN: 12.61 / MAX: 27.32 MIN: 12.38 / MAX: 35.04 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 0.3938 0.7876 1.1814 1.5752 1.969 1.750 1.734 1.726 MIN: 1.64 / MAX: 12.96 MIN: 1.66 / MAX: 7.07 MIN: 1.65 / MAX: 3.94 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 0.5733 1.1466 1.7199 2.2932 2.8665 2.529 2.548 2.535 MIN: 2.23 / MAX: 21 MIN: 2.25 / MAX: 19.74 MIN: 2.27 / MAX: 5.43 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: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 a b c 6 12 18 24 30 23.27 23.30 23.26 MIN: 22.02 / MAX: 43.73 MIN: 22.13 / MAX: 42.61 MIN: 21.64 / MAX: 46.7 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 2 4 6 8 10 6.317 6.300 6.254 MIN: 5.9 / MAX: 47.08 MIN: 5.9 / MAX: 11.23 MIN: 5.73 / MAX: 11.97 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 0.7252 1.4504 2.1756 2.9008 3.626 3.223 3.168 3.150 MIN: 3.04 / MAX: 22.88 MIN: 2.94 / MAX: 8.76 MIN: 2.94 / MAX: 6.51 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 0.7826 1.5652 2.3478 3.1304 3.913 3.467 3.478 3.473 MIN: 3.29 / MAX: 6.66 MIN: 3.3 / MAX: 6.74 MIN: 3.32 / MAX: 6.97 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 8 16 24 32 40 35.28 35.25 35.21 MIN: 33.75 / MAX: 54.41 MIN: 33.56 / MAX: 56.19 MIN: 34.01 / MAX: 56.68 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
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 c 0.0733 0.1466 0.2199 0.2932 0.3665 0.32485 0.32571 0.32305
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 c 0.0221 0.0442 0.0663 0.0884 0.1105 0.09783 0.09837 0.09831
oneDNN Harness: IP Shapes 1D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU a b c 2 4 6 8 10 6.84795 7.17336 6.76829 MIN: 6.02 MIN: 6.21 MIN: 5.97 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
oneDNN Harness: IP Shapes 3D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU a b c 4 8 12 16 20 15.55 15.59 15.50 MIN: 15.4 MIN: 15.42 MIN: 15.39 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
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 c 6 12 18 24 30 25.19 25.22 25.15 MIN: 24.88 MIN: 24.89 MIN: 24.84 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -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 a b c 3 6 9 12 15 12.32 13.16 12.35 MIN: 8.18 MIN: 9.19 MIN: 8.48 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 a b c 3 6 9 12 15 9.82819 10.31790 9.85467 MIN: 9.49 MIN: 9.92 MIN: 9.55 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -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 a b c 1300 2600 3900 5200 6500 6026.26 6081.35 6011.76 MIN: 5974.85 MIN: 6033.98 MIN: 5967.98 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU a b c 700 1400 2100 2800 3500 3215.97 3219.18 3214.48 MIN: 3159.31 MIN: 3173.45 MIN: 3174.76 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl
Opus Codec Encoding WAV To Opus Encode OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.5.2 WAV To Opus Encode a b c 6 12 18 24 30 25.04 27.25 25.10 1. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
Primesieve Length: 1e12 OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 12.5 Length: 1e12 a b c 9 18 27 36 45 36.05 38.82 36.16 1. (CXX) g++ options: -O3
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: Kostya a b c 0.774 1.548 2.322 3.096 3.87 3.39 3.44 3.43 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 1.2218 2.4436 3.6654 4.8872 6.109 5.24 5.32 5.43 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 0.2655 0.531 0.7965 1.062 1.3275 1.17 1.18 1.18 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 1.1363 2.2726 3.4089 4.5452 5.6815 5.05 4.89 5.00 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 1.2128 2.4256 3.6384 4.8512 6.064 5.13 5.36 5.39 1. (CXX) g++ options: -O3 -lrt
Stockfish Chess Benchmark OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 17 Chess Benchmark a b c 2M 4M 6M 8M 10M 9792734 11073840 10043617 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: OpenGL - Steady FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: OpenGL - Steady FPS a b c 15 30 45 60 75 44 66 57
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: OpenGL - Mostly Stable FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: OpenGL - Mostly Stable FPS a b c 20 40 60 80 100 85 86 87
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: Vulkan - Steady FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: Vulkan - Steady FPS a b c 40 80 120 160 200 168 166 166
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: Vulkan - Mostly Stable FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: Vulkan - Mostly Stable FPS a b c 50 100 150 200 250 218 219 221
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: OpenGL - Steady FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: OpenGL - Steady FPS a b c 5 10 15 20 25 22 20 21
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: OpenGL - Mostly Stable FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: OpenGL - Mostly Stable FPS a b c 8 16 24 32 40 36 36 36
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: Vulkan - Steady FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: Vulkan - Steady FPS a b c 40 80 120 160 200 164 165 166
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: Vulkan - Mostly Stable FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: Vulkan - Mostly Stable FPS a b c 50 100 150 200 250 214 215 214
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: OpenGL - Steady FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: OpenGL - Steady FPS a b c 9 18 27 36 45 40 27 28
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: OpenGL - Mostly Stable FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: OpenGL - Mostly Stable FPS a b c 11 22 33 44 55 48 48 47
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: Vulkan - Steady FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: Vulkan - Steady FPS a b c 40 80 120 160 200 166 169 167
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: Vulkan - Mostly Stable FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: Vulkan - Mostly Stable FPS a b c 50 100 150 200 250 221 220 218
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: OpenGL - Steady FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: OpenGL - Steady FPS a b c 5 10 15 20 25 19 19 19
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: OpenGL - Mostly Stable FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: OpenGL - Mostly Stable FPS a b c 8 16 24 32 40 33 33 33
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: Vulkan - Steady FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: Vulkan - Steady FPS a b c 40 80 120 160 200 163 164 165
SuperTuxKart Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: Vulkan - Mostly Stable FPS OpenBenchmarking.org Frames Per Second, More Is Better SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: Vulkan - Mostly Stable FPS a b c 50 100 150 200 250 211 214 218
SVT-AV1 Encoder Mode: Preset 3 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 4K a b c 0.428 0.856 1.284 1.712 2.14 1.898 1.902 1.833 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 5 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 4K a b c 2 4 6 8 10 7.299 7.281 7.346 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 4K a b c 6 12 18 24 30 25.52 25.67 25.72 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 4K a b c 14 28 42 56 70 62.18 63.25 63.20 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 3 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 1080p a b c 2 4 6 8 10 6.926 6.950 6.937 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 5 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 1080p a b c 6 12 18 24 30 24.61 24.55 24.53 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 1080p a b c 20 40 60 80 100 84.38 84.04 84.28 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 1080p a b c 60 120 180 240 300 284.96 286.75 285.69 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Unvanquished Resolution: 1920 x 1080 - Effects Quality: High OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: High a b c 50 100 150 200 250 219.3 224.2 223.4
Unvanquished Resolution: 1920 x 1080 - Effects Quality: Ultra OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: Ultra a b c 40 80 120 160 200 186.6 184.3 186.9
Unvanquished Resolution: 1920 x 1080 - Effects Quality: Medium OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: Medium a b c 60 120 180 240 300 253.8 255.2 254.2
XNNPACK Model: FP32MobileNetV1 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP32MobileNetV1 a b c 900 1800 2700 3600 4500 4000 4015 4024 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP32MobileNetV2 a b c 500 1000 1500 2000 2500 2514 2520 2513 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP32MobileNetV3Large a b c 500 1000 1500 2000 2500 2485 2497 2489 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP32MobileNetV3Small a b c 200 400 600 800 1000 873 879 876 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV1 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP16MobileNetV1 a b c 900 1800 2700 3600 4500 4354 4367 4353 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP16MobileNetV2 a b c 600 1200 1800 2400 3000 2810 2819 2809 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP16MobileNetV3Large a b c 600 1200 1800 2400 3000 2662 2625 2597 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: FP16MobileNetV3Small a b c 200 400 600 800 1000 1003 1004 1003 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: QS8MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK b7b048 Model: QS8MobileNetV2 a b c 400 800 1200 1600 2000 1940 1941 1936 1. (CXX) g++ options: -O3 -lrt -lm
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 16 32 48 64 80 71.19 71.58 71.13
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 8 16 24 32 40 31.60 33.72 31.56
Phoronix Test Suite v10.8.5