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&sro&grs .
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 supertuxkart: 1920 x 1080 - Low - OpenGL - Steady FPS supertuxkart: 1920 x 1080 - Medium - OpenGL - Steady FPS litert: NASNet Mobile stockfish: Chess Benchmark supertuxkart: 1920 x 1080 - High - OpenGL - Steady FPS encode-opus: WAV To Opus Encode primesieve: 1e12 litert: DeepLab V3 litert: Inception V4 y-cruncher: 500M onednn: Deconvolution Batch shapes_1d - CPU onednn: IP Shapes 1D - CPU cassandra: Writes litert: Mobilenet Float simdjson: DistinctUserID onednn: Deconvolution Batch shapes_3d - CPU lczero: Eigen svt-av1: Preset 3 - Bosphorus 4K simdjson: TopTweet lczero: BLAS supertuxkart: 1920 x 1080 - Ultimate - Vulkan - Mostly Stable FPS simdjson: PartialTweets xnnpack: FP16MobileNetV3Large supertuxkart: 1920 x 1080 - Low - OpenGL - Mostly Stable FPS mnn: MobileNetV2_224 litert: Quantized COCO SSD MobileNet v1 unvanquished: 1920 x 1080 - High byte: Whetstone Double litert: Mobilenet Quant supertuxkart: 1920 x 1080 - Medium - OpenGL - Mostly Stable FPS byte: Pipe byte: System Call supertuxkart: 1920 x 1080 - Medium - Vulkan - Steady FPS svt-av1: Preset 13 - Bosphorus 4K simdjson: Kostya unvanquished: 1920 x 1080 - Ultra mnn: mobilenetV3 supertuxkart: 1920 x 1080 - Medium - Vulkan - Mostly Stable FPS supertuxkart: 1920 x 1080 - Low - Vulkan - Mostly Stable FPS supertuxkart: 1920 x 1080 - Ultimate - Vulkan - Steady FPS supertuxkart: 1920 x 1080 - High - Vulkan - Steady FPS supertuxkart: 1920 x 1080 - Low - Vulkan - Steady FPS onednn: Recurrent Neural Network Training - CPU litert: Inception ResNet V2 mnn: nasnet litert: SqueezeNet mnn: SqueezeNetV1.0 svt-av1: Preset 5 - Bosphorus 4K byte: Dhrystone 2 simdjson: LargeRand namd: ATPase with 327,506 Atoms svt-av1: Preset 8 - Bosphorus 4K mnn: squeezenetv1.1 xnnpack: FP32MobileNetV3Small y-cruncher: 1B svt-av1: Preset 13 - Bosphorus 1080p xnnpack: FP32MobileNetV1 onednn: IP Shapes 3D - CPU namd: STMV with 1,066,628 Atoms unvanquished: 1920 x 1080 - Medium xnnpack: FP32MobileNetV3Large supertuxkart: 1920 x 1080 - High - Vulkan - Mostly Stable FPS svt-av1: Preset 8 - Bosphorus 1080p xnnpack: FP16MobileNetV2 svt-av1: Preset 3 - Bosphorus 1080p svt-av1: Preset 5 - Bosphorus 1080p xnnpack: FP16MobileNetV1 mnn: mobilenet-v1-1.0 onednn: Convolution Batch Shapes Auto - CPU xnnpack: FP32MobileNetV2 xnnpack: QS8MobileNetV2 mnn: inception-v3 build2: Time To Compile mnn: resnet-v2-50 onednn: Recurrent Neural Network Inference - CPU xnnpack: FP16MobileNetV3Small supertuxkart: 1920 x 1080 - Ultimate - OpenGL - Mostly Stable FPS supertuxkart: 1920 x 1080 - Ultimate - OpenGL - Steady FPS supertuxkart: 1920 x 1080 - High - OpenGL - Mostly Stable FPS a b c 44 40 9669.64 9792734 22 25.044 36.046 4393.4 62377.3 31.604 12.3237 6.84795 49136 3246.51 5.13 9.82819 21 1.898 5.24 30 211 5.05 2662 85 3.223 4397.58 219.3 87134.3 3202.9 48 10780325.1 10866109.8 166 62.181 3.39 186.6 1.75 221 218 163 164 168 6026.26 54850.7 13.459 4178.46 6.317 7.299 377235756.9 1.17 0.32485 25.523 2.529 873 71.187 284.955 4000 15.5469 0.09783 253.8 2485 214 84.381 2810 6.926 24.609 4354 3.467 25.1871 2514 1940 35.283 395.659 23.273 3215.97 1003 33 19 36 66 27 10973.3 11073840 20 27.25 38.821 4683.2 66766.2 33.722 13.1584 7.17336 52044 3414.14 5.36 10.3179 22 1.902 5.32 30 214 4.89 2625 86 3.168 4481.05 224.2 86879 3234.5 48 10821318.1 11001447.5 169 63.254 3.44 184.3 1.734 220 219 164 165 166 6081.35 54226.7 13.361 4155.12 6.3 7.281 379271069.5 1.18 0.32571 25.667 2.548 879 71.584 286.745 4015 15.5919 0.09837 255.2 2497 215 84.037 2819 6.95 24.545 4367 3.478 25.2218 2520 1941 35.247 394.909 23.295 3219.18 1004 33 19 36 57 28 10976.5 10043617 21 25.103 36.157 4360.66 62374.1 31.564 12.3512 6.76829 49549 3224.89 5.39 9.85467 21 1.833 5.43 29 218 5 2597 87 3.15 4382.42 223.4 88780 3166.49 47 10990973.6 11069234.4 167 63.203 3.43 186.9 1.726 218 221 165 166 166 6011.76 54696.6 13.319 4135.54 6.254 7.346 380536445.3 1.18 0.32305 25.717 2.535 876 71.132 285.687 4024 15.5017 0.09831 254.2 2489 214 84.278 2809 6.937 24.53 4353 3.473 25.1455 2513 1936 35.208 395.188 23.256 3214.48 1003 33 19 36 OpenBenchmarking.org
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: 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
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
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: 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
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
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: 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
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
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: 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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: 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
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
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
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
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
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
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: 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: 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: 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: 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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: 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
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
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
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
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
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
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
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
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: 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
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
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
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
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
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
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: 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: 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
Phoronix Test Suite v10.8.5