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Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2308049-NE-NEWNEW95665
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August 03 2023
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newnewOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (3.15.0 BIOS)Intel Tiger Lake-LP16GBKioxia KBG40ZNS256G NVMe 256GBIntel Xe TGL GT2 15GB (1300MHz)Realtek ALC289Intel Wi-Fi 6 AX201Ubuntu 23.046.2.0-24-generic (x86_64)GNOME Shell 44.0X Server + Wayland4.6 Mesa 23.0.2GCC 12.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionNewnew BenchmarksSystem Logs- 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-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-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.5.2 - OpenJDK Runtime Environment (build 11.0.19+7-post-Ubuntu-0ubuntu123.04) - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%102%104%107%NCNNVVenCApache CassandraDragonflydbApache IoTDBVkFFTBRL-CADvkpeakVkResampleTimed GCC Compilation

newnewvkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4vkfft: FFT + iFFT R2C / C2Rvkfft: FFT + iFFT C2C 1D batched in half precisionvkfft: FFT + iFFT C2C Bluestein in single precisionvkfft: FFT + iFFT C2C 1D batched in single precisionvkfft: FFT + iFFT C2C multidimensional in single precisionvkfft: FFT + iFFT C2C 1D batched in single precision, no reshufflingvkresample: 2x - Singlevvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fasterbuild-gcc: Time To Compileapache-iotdb: 100 - 1 - 200apache-iotdb: 100 - 1 - 200apache-iotdb: 100 - 1 - 500apache-iotdb: 100 - 1 - 500apache-iotdb: 200 - 1 - 200apache-iotdb: 200 - 1 - 200apache-iotdb: 200 - 1 - 500apache-iotdb: 200 - 1 - 500apache-iotdb: 100 - 100 - 200apache-iotdb: 100 - 100 - 200apache-iotdb: 100 - 100 - 500apache-iotdb: 100 - 100 - 500apache-iotdb: 200 - 100 - 200apache-iotdb: 200 - 100 - 200apache-iotdb: 200 - 100 - 500apache-iotdb: 200 - 100 - 500dragonflydb: 10 - 1:5dragonflydb: 20 - 1:5dragonflydb: 50 - 1:5dragonflydb: 10 - 1:10dragonflydb: 20 - 1:10dragonflydb: 50 - 1:10dragonflydb: 10 - 1:100dragonflydb: 20 - 1:100dragonflydb: 50 - 1:100ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: 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 GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetcassandra: Writesbrl-cad: VGR Performance Metricabc934.741478.582309.293182.23474.88493.63907.91979.255585142461033748649448176100.0091.6543.6805.1412.7962404.774640563.2216.781265418.9124.981035973.61121696504.0222.0822588608.6768.4821059562.6211.9617866468.2691.6716383690.96284.411331051.901620397.171509161.501283252.401553942.491559408.511267626.251504800.261590238.4320.744.603.584.034.558.851.3215.8259.0911.178.6128.7429.4412.9511.76189.403.9721.074.663.603.503.936.991.2615.8659.0311.188.6828.8429.6013.0511.19207.463.973986452008935.021478.502309.193182.01474.86493.63907.82979.35589142321034748249378176100.0101.6503.7815.12412.6372404.32064483316.41124779625.141007122.6212.521651562.3623.121253793.5374.0821812047.21200.9718637109.8385.6410851137.82370.361310891.481572424.891546553.321275557.391532531.221545294.471305698.481532061.631538729.6120.744.603.593.473.866.920.9412.7854.259.257.4326.5729.0312.238.61204.363.9120.654.633.593.493.896.980.9914.0957.8810.228.0828.7129.2313.018.57193.903.944082351967934.811479.042309.283182.29474.89493.65907.87979.235688142411035747850878183100.0091.6773.8535.24913.8022394.139655887.0316.031266283.9424.73995398.4312.781659495.2922.6317612257.1376.878804114.19499.989365385.68164.995724897.6757.341394989.581561730.491559859.231325104.131620928.161574780.451297415.251655250.861548401.5420.744.533.513.473.836.640.9612.4254.139.197.3026.5729.2512.058.39200.233.8920.694.603.543.493.876.811.0814.0158.2810.408.1528.7829.1113.009.62188.794.033953651880OpenBenchmarking.org

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-scalarabc2004006008001000SE +/- 0.27, N = 2SE +/- 0.00, N = 2SE +/- 0.29, N = 2934.74935.02934.81

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-vec4abc30060090012001500SE +/- 0.52, N = 2SE +/- 0.51, N = 2SE +/- 0.00, N = 21478.581478.501479.04

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-scalarabc5001000150020002500SE +/- 0.07, N = 2SE +/- 0.02, N = 2SE +/- 0.04, N = 22309.292309.192309.28

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-vec4abc7001400210028003500SE +/- 0.11, N = 2SE +/- 0.04, N = 2SE +/- 0.12, N = 23182.233182.013182.29

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-scalarabc100200300400500SE +/- 0.03, N = 2SE +/- 0.00, N = 2SE +/- 0.00, N = 2474.88474.86474.89

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-vec4abc110220330440550SE +/- 0.02, N = 2SE +/- 0.00, N = 2SE +/- 0.00, N = 2493.63493.63493.65

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-scalarabc2004006008001000SE +/- 0.10, N = 2SE +/- 0.01, N = 2SE +/- 0.03, N = 2907.91907.82907.87

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-vec4abc2004006008001000SE +/- 0.08, N = 2SE +/- 0.05, N = 2SE +/- 0.00, N = 2979.25979.30979.23

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT R2C / C2Rabc12002400360048006000SE +/- 3.50, N = 2SE +/- 30.50, N = 2SE +/- 69.00, N = 25585558956881. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in half precisionabc3K6K9K12K15KSE +/- 5.00, N = 2SE +/- 1.50, N = 2SE +/- 4.00, N = 21424614232142411. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C Bluestein in single precisionabc2004006008001000SE +/- 0.50, N = 2SE +/- 1.00, N = 2SE +/- 1.00, N = 21033103410351. (CXX) g++ options: -O3

Test: FFT + iFFT C2C 1D batched in double precision

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in single precisionabc16003200480064008000SE +/- 14.00, N = 2SE +/- 4.00, N = 2SE +/- 3.50, N = 27486748274781. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C multidimensional in single precisionabc11002200330044005500SE +/- 17.50, N = 2SE +/- 6.50, N = 2SE +/- 9.00, N = 24944493750871. (CXX) g++ options: -O3

Test: FFT + iFFT C2C Bluestein benchmark in double precision

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in single precision, no reshufflingabc2K4K6K8K10KSE +/- 4.00, N = 2SE +/- 0.50, N = 2SE +/- 5.00, N = 28176817681831. (CXX) g++ options: -O3

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Singleabc20406080100SE +/- 0.00, N = 2SE +/- 0.00, N = 2SE +/- 0.00, N = 2100.01100.01100.011. (CXX) g++ options: -O3

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fastabc0.37730.75461.13191.50921.8865SE +/- 0.037, N = 2SE +/- 0.028, N = 2SE +/- 0.036, N = 21.6541.6501.6771. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterabc0.86691.73382.60073.46764.3345SE +/- 0.014, N = 2SE +/- 0.014, N = 2SE +/- 0.081, N = 23.6803.7813.8531. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fastabc1.1812.3623.5434.7245.905SE +/- 0.000, N = 2SE +/- 0.008, N = 2SE +/- 0.115, N = 25.1405.1245.2491. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fasterabc48121620SE +/- 0.08, N = 2SE +/- 0.11, N = 2SE +/- 0.79, N = 212.8012.6413.801. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC) open-source compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 13.2Time To Compileabc5001000150020002500SE +/- 0.32, N = 2SE +/- 2.12, N = 2SE +/- 1.40, N = 22404.772404.322394.14

Apache IoTDB

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200abc140K280K420K560K700K640563.22644833.00655887.03

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200abc4812162016.7816.4116.03MAX: 906.87MAX: 1017.33MAX: 1027.73

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500abc300K600K900K1200K1500K1265418.911247796.001266283.94

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500abc61218243024.9825.1424.73MAX: 1064.56MAX: 1026.24MAX: 998.23

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200abc200K400K600K800K1000K1035973.611007122.62995398.43

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200abc369121512.0012.5212.78MAX: 771.24MAX: 794.23MAX: 800.68

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500abc400K800K1200K1600K2000K1696504.021651562.361659495.29

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500abc61218243022.0823.1022.63MAX: 863.43MAX: 906.47MAX: 909.27

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200abc5M10M15M20M25M22588608.6721253793.5317612257.13

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200abc2040608010068.4874.0876.87MAX: 1696.56MAX: 1547.17MAX: 9168.34

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500abc5M10M15M20M25M21059562.6021812047.218804114.19

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500abc110220330440550211.96200.97499.98MAX: 1593.95MAX: 1387.04MAX: 7223.32

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200abc4M8M12M16M20M17866468.2618637109.839365385.68

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200abc408012016020091.6785.64164.99MAX: 7883.93MAX: 1651.27MAX: 11718.16

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500abc4M8M12M16M20M16383690.9610851137.825724897.60

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500abc160320480640800284.41370.36757.34MAX: 2551.38MAX: 7948.19MAX: 21117.8

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 10 - Set To Get Ratio: 1:5abc300K600K900K1200K1500KSE +/- 124523.27, N = 2SE +/- 115490.54, N = 2SE +/- 156954.29, N = 21331051.901310891.481394989.581. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 20 - Set To Get Ratio: 1:5abc300K600K900K1200K1500KSE +/- 138897.05, N = 2SE +/- 146499.45, N = 2SE +/- 157442.25, N = 21620397.171572424.891561730.491. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 50 - Set To Get Ratio: 1:5abc300K600K900K1200K1500KSE +/- 35029.57, N = 2SE +/- 81765.99, N = 2SE +/- 148775.44, N = 21509161.501546553.321559859.231. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 10 - Set To Get Ratio: 1:10abc300K600K900K1200K1500KSE +/- 119195.59, N = 2SE +/- 90004.70, N = 2SE +/- 143882.01, N = 21283252.401275557.391325104.131. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 20 - Set To Get Ratio: 1:10abc300K600K900K1200K1500KSE +/- 93795.63, N = 2SE +/- 144264.17, N = 2SE +/- 153108.99, N = 21553942.491532531.221620928.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 50 - Set To Get Ratio: 1:10abc300K600K900K1200K1500KSE +/- 99951.62, N = 2SE +/- 111709.66, N = 2SE +/- 128692.32, N = 21559408.511545294.471574780.451. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 10 - Set To Get Ratio: 1:100abc300K600K900K1200K1500KSE +/- 117619.34, N = 2SE +/- 95110.31, N = 2SE +/- 141978.48, N = 21267626.251305698.481297415.251. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 20 - Set To Get Ratio: 1:100abc400K800K1200K1600K2000KSE +/- 66621.90, N = 2SE +/- 71249.46, N = 2SE +/- 168860.22, N = 21504800.261532061.631655250.861. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 1.6.2Clients Per Thread: 50 - Set To Get Ratio: 1:100abc300K600K900K1200K1500KSE +/- 113274.82, N = 2SE +/- 98659.37, N = 2SE +/- 65233.84, N = 21590238.431538729.611548401.541. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetabc510152025SE +/- 0.05, N = 2SE +/- 0.04, N = 2SE +/- 0.07, N = 220.7420.7420.74MIN: 20.17 / MAX: 31.42MIN: 20.23 / MAX: 31.9MIN: 20.26 / MAX: 32.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2abc1.0352.073.1054.145.175SE +/- 0.04, N = 2SE +/- 0.02, N = 2SE +/- 0.02, N = 24.604.604.53MIN: 4.38 / MAX: 12.37MIN: 4.34 / MAX: 14.83MIN: 4.3 / MAX: 15.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3abc0.80781.61562.42343.23124.039SE +/- 0.03, N = 2SE +/- 0.04, N = 2SE +/- 0.00, N = 23.583.593.51MIN: 3.35 / MAX: 13.78MIN: 3.37 / MAX: 14.17MIN: 3.32 / MAX: 11.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2abc0.90681.81362.72043.62724.534SE +/- 0.57, N = 2SE +/- 0.01, N = 2SE +/- 0.02, N = 24.033.473.47MIN: 3.35 / MAX: 10.89MIN: 3.32 / MAX: 12.41MIN: 3.36 / MAX: 13.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetabc1.02382.04763.07144.09525.119SE +/- 0.63, N = 2SE +/- 0.07, N = 2SE +/- 0.01, N = 24.553.863.83MIN: 3.81 / MAX: 15.97MIN: 3.69 / MAX: 12.48MIN: 3.68 / MAX: 12.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0abc246810SE +/- 0.29, N = 2SE +/- 0.04, N = 2SE +/- 0.05, N = 28.856.926.64MIN: 6.6 / MAX: 21.28MIN: 6.5 / MAX: 16.04MIN: 6.38 / MAX: 17.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceabc0.2970.5940.8911.1881.485SE +/- 0.03, N = 2SE +/- 0.02, N = 2SE +/- 0.03, N = 21.320.940.96MIN: 1.2 / MAX: 4.08MIN: 0.9 / MAX: 1.09MIN: 0.9 / MAX: 5.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetabc48121620SE +/- 0.07, N = 2SE +/- 0.20, N = 2SE +/- 0.27, N = 215.8212.7812.42MIN: 15.12 / MAX: 28.62MIN: 11.9 / MAX: 22.46MIN: 11.68 / MAX: 23.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16abc1326395265SE +/- 0.11, N = 2SE +/- 1.96, N = 2SE +/- 2.37, N = 259.0954.2554.13MIN: 57.54 / MAX: 76.29MIN: 50.32 / MAX: 71.7MIN: 48.55 / MAX: 72.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18abc3691215SE +/- 0.04, N = 2SE +/- 0.11, N = 2SE +/- 0.50, N = 211.179.259.19MIN: 10.66 / MAX: 21.33MIN: 8.51 / MAX: 24.74MIN: 8.38 / MAX: 20.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetabc246810SE +/- 0.04, N = 2SE +/- 0.09, N = 2SE +/- 0.25, N = 28.617.437.30MIN: 8.27 / MAX: 20.05MIN: 6.9 / MAX: 16.46MIN: 6.79 / MAX: 17.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50abc714212835SE +/- 0.18, N = 2SE +/- 2.23, N = 2SE +/- 2.20, N = 228.7426.5726.57MIN: 27.89 / MAX: 40MIN: 23.28 / MAX: 38.91MIN: 23.37 / MAX: 38.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyabc714212835SE +/- 0.42, N = 2SE +/- 0.03, N = 2SE +/- 0.03, N = 229.4429.0329.25MIN: 28.43 / MAX: 46.03MIN: 28.45 / MAX: 40.14MIN: 28.42 / MAX: 40.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdabc3691215SE +/- 0.03, N = 2SE +/- 0.86, N = 2SE +/- 0.97, N = 212.9512.2312.05MIN: 12.67 / MAX: 23.3MIN: 10.77 / MAX: 31.43MIN: 10.72 / MAX: 23.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mabc3691215SE +/- 0.10, N = 2SE +/- 0.03, N = 2SE +/- 0.01, N = 211.768.618.39MIN: 11.26 / MAX: 22.16MIN: 8.21 / MAX: 17.64MIN: 8.14 / MAX: 18.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerabc4080120160200SE +/- 4.42, N = 2SE +/- 3.85, N = 2SE +/- 5.48, N = 2189.40204.36200.23MIN: 169.61 / MAX: 225.69MIN: 168.8 / MAX: 231.88MIN: 169.16 / MAX: 234.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetabc0.89331.78662.67993.57324.4665SE +/- 0.00, N = 2SE +/- 0.00, N = 2SE +/- 0.03, N = 23.973.913.89MIN: 3.76 / MAX: 14.59MIN: 3.71 / MAX: 13.7MIN: 3.67 / MAX: 13.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetabc510152025SE +/- 0.19, N = 2SE +/- 0.03, N = 2SE +/- 0.03, N = 221.0720.6520.69MIN: 20.27 / MAX: 31.83MIN: 20.22 / MAX: 31.66MIN: 20.24 / MAX: 31.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2abc1.04852.0973.14554.1945.2425SE +/- 0.00, N = 2SE +/- 0.03, N = 2SE +/- 0.04, N = 24.664.634.60MIN: 4.46 / MAX: 14.54MIN: 4.44 / MAX: 14.09MIN: 4.38 / MAX: 141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3abc0.811.622.433.244.05SE +/- 0.03, N = 2SE +/- 0.02, N = 2SE +/- 0.01, N = 23.603.593.54MIN: 3.38 / MAX: 12.52MIN: 3.4 / MAX: 12.21MIN: 3.33 / MAX: 11.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2abc0.78751.5752.36253.153.9375SE +/- 0.01, N = 2SE +/- 0.01, N = 2SE +/- 0.02, N = 23.503.493.49MIN: 3.35 / MAX: 12.33MIN: 3.33 / MAX: 13.62MIN: 3.35 / MAX: 11.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetabc0.88431.76862.65293.53724.4215SE +/- 0.01, N = 2SE +/- 0.03, N = 2SE +/- 0.04, N = 23.933.893.87MIN: 3.73 / MAX: 14.41MIN: 3.74 / MAX: 12.97MIN: 3.71 / MAX: 12.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0abc246810SE +/- 0.02, N = 2SE +/- 0.02, N = 2SE +/- 0.15, N = 26.996.986.81MIN: 6.55 / MAX: 16.31MIN: 6.57 / MAX: 17.79MIN: 6.42 / MAX: 17.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceabc0.28350.5670.85051.1341.4175SE +/- 0.02, N = 2SE +/- 0.05, N = 2SE +/- 0.14, N = 21.260.991.08MIN: 1.16 / MAX: 4.12MIN: 0.91 / MAX: 3.77MIN: 0.91 / MAX: 3.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetabc48121620SE +/- 0.02, N = 2SE +/- 1.53, N = 2SE +/- 1.79, N = 215.8614.0914.01MIN: 15.16 / MAX: 26.57MIN: 12.03 / MAX: 25.74MIN: 11.83 / MAX: 25.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16abc1326395265SE +/- 0.15, N = 2SE +/- 1.40, N = 2SE +/- 0.65, N = 259.0357.8858.28MIN: 57.6 / MAX: 79.49MIN: 52 / MAX: 70.84MIN: 52.14 / MAX: 69.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18abc3691215SE +/- 0.02, N = 2SE +/- 1.05, N = 2SE +/- 0.82, N = 211.1810.2210.40MIN: 10.62 / MAX: 21.34MIN: 8.49 / MAX: 20.91MIN: 8.57 / MAX: 21.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetabc246810SE +/- 0.04, N = 2SE +/- 0.52, N = 2SE +/- 0.55, N = 28.688.088.15MIN: 8.25 / MAX: 19.5MIN: 7.01 / MAX: 17.55MIN: 7.01 / MAX: 17.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50abc714212835SE +/- 0.19, N = 2SE +/- 0.12, N = 2SE +/- 0.15, N = 228.8428.7128.78MIN: 27.92 / MAX: 41.94MIN: 27.9 / MAX: 39.22MIN: 27.96 / MAX: 39.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyabc714212835SE +/- 0.26, N = 2SE +/- 0.15, N = 2SE +/- 0.05, N = 229.6029.2329.11MIN: 28.6 / MAX: 44.5MIN: 28.34 / MAX: 41.02MIN: 28.38 / MAX: 40.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdabc3691215SE +/- 0.04, N = 2SE +/- 0.01, N = 2SE +/- 0.03, N = 213.0513.0113.00MIN: 12.7 / MAX: 23.56MIN: 12.67 / MAX: 27.85MIN: 12.68 / MAX: 23.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mabc3691215SE +/- 0.30, N = 2SE +/- 0.01, N = 2SE +/- 1.13, N = 211.198.579.62MIN: 10.38 / MAX: 21.88MIN: 8.18 / MAX: 21.08MIN: 8.23 / MAX: 23.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerabc50100150200250SE +/- 8.01, N = 2SE +/- 0.73, N = 2SE +/- 0.68, N = 2207.46193.90188.79MIN: 169.78 / MAX: 244.36MIN: 167.64 / MAX: 231.56MIN: 169.1 / MAX: 243.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetabc0.90681.81362.72043.62724.534SE +/- 0.09, N = 2SE +/- 0.00, N = 2SE +/- 0.10, N = 23.973.944.03MIN: 3.7 / MAX: 15.04MIN: 3.73 / MAX: 12.78MIN: 3.74 / MAX: 10.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesabc9K18K27K36K45KSE +/- 2472.50, N = 2SE +/- 1520.50, N = 2SE +/- 2294.50, N = 2398644082339536

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.36VGR Performance Metricabc11K22K33K44K55KSE +/- 16.50, N = 2SE +/- 147.00, N = 2SE +/- 34.00, N = 25200851967518801. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

81 Results Shown

vkpeak:
  fp32-scalar
  fp32-vec4
  fp16-scalar
  fp16-vec4
  int32-scalar
  int32-vec4
  int16-scalar
  int16-vec4
VkFFT:
  FFT + iFFT R2C / C2R
  FFT + iFFT C2C 1D batched in half precision
  FFT + iFFT C2C Bluestein in single precision
  FFT + iFFT C2C 1D batched in single precision
  FFT + iFFT C2C multidimensional in single precision
  FFT + iFFT C2C 1D batched in single precision, no reshuffling
VkResample
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
  Bosphorus 1080p - Fast
  Bosphorus 1080p - Faster
Timed GCC Compilation
Apache IoTDB:
  100 - 1 - 200:
    point/sec
    Average Latency
  100 - 1 - 500:
    point/sec
    Average Latency
  200 - 1 - 200:
    point/sec
    Average Latency
  200 - 1 - 500:
    point/sec
    Average Latency
  100 - 100 - 200:
    point/sec
    Average Latency
  100 - 100 - 500:
    point/sec
    Average Latency
  200 - 100 - 200:
    point/sec
    Average Latency
  200 - 100 - 500:
    point/sec
    Average Latency
Dragonflydb:
  10 - 1:5
  20 - 1:5
  50 - 1:5
  10 - 1:10
  20 - 1:10
  50 - 1:10
  10 - 1:100
  20 - 1:100
  50 - 1:100
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
  Vulkan GPU - vision_transformer
  Vulkan GPU - FastestDet
Apache Cassandra
BRL-CAD