Intel Core i5 12400, Core i5 13400 Linux benchmarks new cpus

Benchmarks for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2301154-PTS-EO2022BE79
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Core i5 12400
January 12 2023
  5 Hours, 15 Minutes
12400
January 13 2023
  5 Hours, 13 Minutes
13400
January 14 2023
  11 Hours, 43 Minutes
Core i5 13400
January 15 2023
  4 Hours, 54 Minutes
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  6 Hours, 46 Minutes

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Intel Core i5 12400, Core i5 13400 Linux benchmarks new cpusProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i5 124001240013400Core i5 13400Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads)ASUS PRIME Z790-P WIFI (0602 BIOS)Intel Device 7a2732GB2000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6700 XT 12GB (2855/1000MHz)Realtek ALC897ASUS VP28UIntel Device 7a70Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160Intel Core i5-13400 @ 3.40GHz (10 Cores / 16 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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-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-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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- Core i5 12400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25 - Thermald 2.4.9- 12400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25 - Thermald 2.4.9- 13400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25- Core i5 13400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25Python Details- Python 3.10.4Security Details- 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

Core i5 124001240013400Core i5 13400Result OverviewPhoronix Test Suite100%116%132%149%165%QuadRayStargate Digital Audio WorkstationminiBUDEBRL-CADOpenRadiossnekRSBlenderTimed Linux Kernel Compilationuvg266libavif avifencKvazaarOpenVKLspaCyEnCodecSVT-AV1ClickHouseXmrigCockroachDBJPEG XL Decoding libjxlNeural Magic DeepSparseJPEG XL libjxlTensorFlowY-CruncherOpenVINO

Intel Core i5 12400, Core i5 13400 Linux benchmarks new cpusbrl-cad: VGR Performance Metricstargate: 44100 - 512stargate: 96000 - 512stargate: 192000 - 512stargate: 44100 - 1024y-cruncher: 1By-cruncher: 500Mstargate: 480000 - 512stargate: 96000 - 1024stargate: 192000 - 1024stargate: 480000 - 1024jpegxl-decode: 1jpegxl-decode: Alljpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100xmrig: Monero - 1Mxmrig: Wownero - 1Mminibude: OpenMP - BM1minibude: OpenMP - BM1nekrs: TurboPipe Periodicopenradioss: Bumper Beamopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containertensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamspacy: en_core_web_lgspacy: en_core_web_trfopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyuvg266: Bosphorus 1080p - Slowuvg266: Bosphorus 1080p - Mediumuvg266: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 1080p - Ultra Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessopenvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalarquadray: 1 - 4Kquadray: 2 - 4Kquadray: 3 - 4Kquadray: 5 - 4Kquadray: 1 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 5 - 1080pencodec: 24 kbpsencodec: 1.5 kbpsencodec: 6 kbpsencodec: 3 kbpsclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runcockroach: MoVR - 128cockroach: MoVR - 256cockroach: MoVR - 512cockroach: MoVR - 1024cockroach: KV, 10% Reads - 128cockroach: KV, 10% Reads - 256cockroach: KV, 10% Reads - 512cockroach: KV, 50% Reads - 128cockroach: KV, 50% Reads - 256cockroach: KV, 50% Reads - 512cockroach: KV, 60% Reads - 128cockroach: KV, 60% Reads - 256cockroach: KV, 60% Reads - 512cockroach: KV, 95% Reads - 128cockroach: KV, 95% Reads - 256cockroach: KV, 95% Reads - 512cockroach: KV, 10% Reads - 1024cockroach: KV, 50% Reads - 1024cockroach: KV, 60% Reads - 1024cockroach: KV, 95% Reads - 1024Core i5 124001240013400Core i5 134001495982.5900081.8162991.1681832.72804842.6619.5932.5118931.9426771.2826592.64176255.74269.989.148.938.878.680.840.834585.36231.7255.43510.21756926800000178.37112.09333.39195.38644.8390.31102.4109.5747.9918.749.2919.2849.9419.716.0338497.15345.7894172.726426.8398111.749223.601142.364138.706577.417834.759828.761778.752438.083767.906914.721949.746260.296645.132822.153825.0525119.729722.80643.84486.0336497.20025.7776173.07751590715351.92098.291.323016.231.323026.39205.5219.457.93503.59390.0210.25207.4928.9125.49156.75788.777.6318.6312.556329.920.946963.170.86122.0391597.04533.1234.4775.4594.93127.536.937.1317.7922.2230.72.40531.611117.296123.3387.89987.111453.392497.712154.16445.12217.841728.2536.6622.4125.1464.1768.682.414.485.0614.4415.4918.93180.89682.8349.12713.1665.841146757.452.171.70.5527.928.216.92.1831.17926.04727.19527.083180.38200.59202.90125.3124.9125.4125.86631.213343.230654.111841.823659.641073.514590.129557.243959.359000.657642.856455.536820.541950.844079.655187.61495512.5895811.8114171.1786182.7216842.76619.6452.5034361.9454861.2846952.65036756.88271.979.259.089.098.920.840.8345906201.5255.53410.22156538300000178.13111.92333.43195.67644.889.96102.84109.3548.0918.7349.1719.3249.9719.726.0197498.31225.7346174.377326.7489112.128323.351642.816639.250976.373334.762728.757878.563638.173768.093514.681648.823161.436743.808922.823324.685121.512621.927945.60085.9666501.93945.7122175.05971588515571.92094.061.333012.861.333010.56205.7919.437.95503.11390.0310.25209.0228.725.57156.31790.357.58316.1312.656317.970.946960.140.86121.3581592.6333.234.4375.6395.03127.366.947.1217.8422.2630.662.40831.553116.983123.7347.91586.714447.691497.217154.3444.9216.931726.29535.4722.425.1364.1568.582.384.495.0614.4715.518.92180.65282.4249.0513.1015.747147757.412.181.70.5527.658.216.722.1829.90125.01326.20626.143185.39194.52196.91125.3124.9124.9124.8662213478.130683.911716.523631.140974.914628.729540.24398159140.65747056109.536894.841862.444239.555093.52050783.7119772.5455321.6426013.98343843.36820.4553.5796662.8216041.8585523.86892757.99304.229.889.719.759.590.880.865168.47122.9185.2937.41243549200000242.52165.13387.78292.59796.7594.05108.31117.4354.7418.9456.0018.9257.5119.476.5068764.80446.1932161.464228.6697173.503622.705144.036642.0760118.513035.054828.520786.357257.802868.484214.597754.512991.479146.687521.416026.9302184.542823.223243.05726.4779765.89516.1961161.38881645910402.521583.071.72328.11.72330.87249.83169.26429.89460.228.68181.1955.132.08124.62684.8914.5337710.65970.931.666606.331.5195.9321243.63843.3745.0292.71119.27165.298.678.922.2127.9338.312.87337.998134.946141.4119.098103.929502.961537.886119.20348.77171.621359.5418.1829.5532.9381.6388.33107.575.586.318.2919.5323.94140.71565.7236.97010.1204.906175934.571.311.080.3117.985.164.211.2334.69129.12731.03630.305212.37228.27225.55124.2124.3124.4124.46690.813657.034012.012043.823946.245770.214829.229512.350477.069633.968318.567125.842546.149206.751715.565255.62047333.6753622.5248471.6202423.97340443.6120.4293.5639792.8142641.8500663.8586557.91304.239.879.729.779.610.880.865164.37156.9185.8487.43443478200000239.47164.84388.7291.76785.4494.38107.89117.1454.7218.9755.9518.9457.519.436.4929765.83086.1844161.693128.7042173.132922.746643.955842.745116.534235.043428.5386.878657.509168.449914.605354.575191.495947.303521.137126.8142185.088723.172643.15126.5295761.82696.1829161.73371663210342.511584.911.72334.051.72341.39249.2116.049.17432.13458.388.72179.6955.6132124.93694.5514.34376.1810.626046.321.656605.861.5196.7781245.07143.6745.1392.56119.64164.98.678.8822.1127.7438.182.88937.934134.252142.9419.012103.774500.426533.941119.15348.54171.281365.21419.629.3732.8681.7288.26107.55.576.2918.2519.4423.77140.47465.4257.01110.0784.983176934.551.311.080.3117.955.164.211.2335.27829.31830.82230.425209.34222.15224.48124.8124.9124.6124.66770.51370434253.812118.224114.245816.514961.329664.750413.569900.268289.166905.64255149201.151692.865146.2OpenBenchmarking.org

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

Hash: wyhash

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: SHA3-256

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: Spooky32

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: fasthash32

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: FarmHash128

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: t1ha2_atonce

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: FarmHash32 x86_64 AVX

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: t1ha0_aes_avx2 x86_64

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: MeowHash x86_64 AES-NI

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

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 7.34VGR Performance MetricCore i5 124001240013400Core i5 1340040K80K120K160K200K1495981495512050782047331. (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

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Core i5 124001240013400Core i5 134000.83521.67042.50563.34084.176SE +/- 0.000973, N = 32.5900082.5895813.7119773.6753621. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Core i5 124001240013400Core i5 134000.57271.14541.71812.29082.8635SE +/- 0.001647, N = 31.8162991.8114172.5455322.5248471. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Core i5 124001240013400Core i5 134000.36960.73921.10881.47841.848SE +/- 0.000398, N = 31.1681831.1786181.6426011.6202421. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Core i5 124001240013400Core i5 134000.89631.79262.68893.58524.4815SE +/- 0.002717, N = 32.7280482.7216803.9834383.9734041. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BCore i5 124001240013400Core i5 134001020304050SE +/- 0.13, N = 342.6642.7743.3743.61

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MCore i5 124001240013400Core i5 13400510152025SE +/- 0.06, N = 319.5919.6520.4620.43

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Core i5 124001240013400Core i5 134000.80541.61082.41623.22164.027SE +/- 0.001049, N = 32.5118932.5034363.5796663.5639791. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Core i5 124001240013400Core i5 134000.63491.26981.90472.53963.1745SE +/- 0.000675, N = 31.9426771.9454862.8216042.8142641. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Core i5 124001240013400Core i5 134000.41820.83641.25461.67282.091SE +/- 0.000775, N = 31.2826591.2846951.8585521.8500661. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Core i5 124001240013400Core i5 134000.87051.7412.61153.4824.3525SE +/- 0.003281, N = 32.6417622.6503673.8689273.8586501. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 1Core i5 124001240013400Core i5 134001326395265SE +/- 0.12, N = 355.7456.8857.9957.91

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllCore i5 124001240013400Core i5 1340070140210280350SE +/- 0.38, N = 3269.98271.97304.22304.23

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 80Core i5 124001240013400Core i5 134003691215SE +/- 0.01, N = 39.149.259.889.871. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 90Core i5 124001240013400Core i5 134003691215SE +/- 0.01, N = 38.939.089.719.721. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 80Core i5 124001240013400Core i5 134003691215SE +/- 0.00, N = 38.879.099.759.771. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 90Core i5 124001240013400Core i5 134003691215SE +/- 0.01, N = 38.688.929.599.611. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100Core i5 124001240013400Core i5 134000.1980.3960.5940.7920.99SE +/- 0.00, N = 30.840.840.880.881. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 100Core i5 124001240013400Core i5 134000.19350.3870.58050.7740.9675SE +/- 0.00, N = 30.830.830.860.861. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MCore i5 124001240013400Core i5 1340011002200330044005500SE +/- 5.44, N = 34585.34590.05168.45164.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MCore i5 124001240013400Core i5 1340015003000450060007500SE +/- 15.59, N = 36231.76201.57122.97156.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Core i5 124001240013400Core i5 1340060120180240300SE +/- 0.67, N = 3255.44255.53185.29185.851. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Core i5 124001240013400Core i5 134003691215SE +/- 0.027, N = 310.21710.2217.4127.4341. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe PeriodicCore i5 124001240013400Core i5 1340012000M24000M36000M48000M60000MSE +/- 42366535.54, N = 3569268000005653830000043549200000434782000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamCore i5 124001240013400Core i5 1340050100150200250SE +/- 2.21, N = 3178.37178.13242.52239.47

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestCore i5 124001240013400Core i5 134004080120160200SE +/- 1.12, N = 3112.09111.92165.13164.84

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldCore i5 124001240013400Core i5 1340080160240320400SE +/- 1.87, N = 3333.39333.43387.78388.70

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationCore i5 124001240013400Core i5 1340060120180240300SE +/- 0.41, N = 3195.38195.67292.59291.76

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerCore i5 124001240013400Core i5 134002004006008001000SE +/- 3.17, N = 3644.83644.80796.75785.44

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetCore i5 124001240013400Core i5 1340020406080100SE +/- 0.07, N = 390.3189.9694.0594.38

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetCore i5 124001240013400Core i5 1340020406080100SE +/- 0.40, N = 3102.40102.84108.31107.89

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetCore i5 124001240013400Core i5 13400306090120150SE +/- 0.25, N = 3109.57109.35117.43117.14

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetCore i5 124001240013400Core i5 134001224364860SE +/- 0.11, N = 347.9948.0954.7454.72

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50Core i5 124001240013400Core i5 13400510152025SE +/- 0.01, N = 318.7018.7318.9418.97

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetCore i5 124001240013400Core i5 134001326395265SE +/- 0.07, N = 349.2949.1756.0055.95

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50Core i5 124001240013400Core i5 13400510152025SE +/- 0.02, N = 319.2819.3218.9218.94

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetCore i5 124001240013400Core i5 134001326395265SE +/- 0.13, N = 349.9449.9757.5157.50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50Core i5 124001240013400Core i5 13400510152025SE +/- 0.02, N = 319.7119.7219.4719.43

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 13400246810SE +/- 0.0278, N = 36.03386.01976.50686.4929

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 13400170340510680850SE +/- 2.15, N = 3497.15498.31764.80765.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 13400246810SE +/- 0.0006, N = 35.78945.73466.19326.1844

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 134004080120160200SE +/- 0.02, N = 3172.73174.38161.46161.69

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 13400714212835SE +/- 0.10, N = 326.8426.7528.6728.70

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 134004080120160200SE +/- 0.65, N = 3111.75112.13173.50173.13

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 13400612182430SE +/- 0.06, N = 323.6023.3522.7122.75

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 134001020304050SE +/- 0.11, N = 342.3642.8244.0443.96

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 134001020304050SE +/- 0.17, N = 338.7139.2542.0842.75

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 13400306090120150SE +/- 0.50, N = 377.4276.37118.51116.53

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 13400816243240SE +/- 0.06, N = 334.7634.7635.0535.04

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 13400714212835SE +/- 0.05, N = 328.7628.7628.5228.53

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 1340020406080100SE +/- 0.33, N = 378.7578.5686.3686.88

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 134001326395265SE +/- 0.22, N = 338.0838.1757.8057.51

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 134001530456075SE +/- 0.04, N = 367.9168.0968.4868.45

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 1340048121620SE +/- 0.01, N = 314.7214.6814.6014.61

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 134001224364860SE +/- 0.05, N = 349.7548.8254.5154.58

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 1340020406080100SE +/- 0.08, N = 360.3061.4491.4891.50

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 134001122334455SE +/- 0.09, N = 345.1343.8146.6947.30

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 13400510152025SE +/- 0.04, N = 322.1522.8221.4221.14

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 13400612182430SE +/- 0.07, N = 325.0524.6926.9326.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 134004080120160200SE +/- 0.37, N = 3119.73121.51184.54185.09

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 13400612182430SE +/- 0.02, N = 322.8121.9323.2223.17

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 134001020304050SE +/- 0.05, N = 343.8445.6043.0643.15

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 13400246810SE +/- 0.0214, N = 36.03365.96666.47796.5295

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamCore i5 124001240013400Core i5 13400170340510680850SE +/- 1.42, N = 3497.20501.94765.90761.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 13400246810SE +/- 0.0097, N = 35.77765.71226.19616.1829

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamCore i5 124001240013400Core i5 134004080120160200SE +/- 0.25, N = 3173.08175.06161.39161.73

spaCy

The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgCore i5 124001240013400Core i5 134004K8K12K16K20KSE +/- 53.42, N = 315907158851645916632

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfCore i5 124001240013400Core i5 1340030060090012001500SE +/- 2.60, N = 31535155710401034

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

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Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

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Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

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Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

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Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

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Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

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Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

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Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

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Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

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Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

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Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

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Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

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Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

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Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

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Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

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Core i5 13400: The test quit with a non-zero exit status.

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUCore i5 124001240013400Core i5 134000.5671.1341.7012.2682.8351.901.902.522.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUCore i5 124001240013400Core i5 1340050010001500200025002098.292094.061583.071584.91MIN: 2052.06 / MAX: 2136.02MIN: 2054 / MAX: 2144.08MIN: 1477.42 / MAX: 1887.76MIN: 1427.31 / MAX: 1889.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUCore i5 124001240013400Core i5 134000.38250.7651.14751.531.91251.321.331.701.701. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUCore i5 124001240013400Core i5 1340060012001800240030003016.233012.862328.102334.05MIN: 2973.48 / MAX: 3071.33MIN: 2985.99 / MAX: 3074.98MIN: 2104.47 / MAX: 2986.35MIN: 2135.53 / MAX: 3065.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUCore i5 124001240013400Core i5 134000.38250.7651.14751.531.91251.321.331.701.701. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUCore i5 124001240013400Core i5 1340060012001800240030003026.393010.562330.872341.39MIN: 2963.75 / MAX: 3245.44MIN: 2966.05 / MAX: 3058.2MIN: 2130.11 / MAX: 3008.71MIN: 2163.53 / MAX: 3007.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUCore i5 124001240013400Core i5 1340050100150200250205.52205.79249.83249.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUCore i5 124001240013400Core i5 1340051015202519.4519.4316.0016.04MIN: 18.39 / MAX: 25.47MIN: 18.46 / MAX: 26.18MIN: 14.09 / MAX: 25.84MIN: 13.66 / MAX: 25.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUCore i5 124001240013400Core i5 1340036912157.937.959.269.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUCore i5 124001240013400Core i5 13400110220330440550503.59503.11429.89432.13MIN: 492.41 / MAX: 512.07MIN: 498.88 / MAX: 511.99MIN: 339.29 / MAX: 913.71MIN: 360.39 / MAX: 940.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUCore i5 124001240013400Core i5 13400100200300400500390.02390.03460.22458.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUCore i5 124001240013400Core i5 13400369121510.2510.258.688.72MIN: 10.08 / MAX: 16.3MIN: 10.11 / MAX: 17.66MIN: 7.54 / MAX: 17.41MIN: 7.54 / MAX: 22.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUCore i5 124001240013400Core i5 1340050100150200250207.49209.02181.19179.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUCore i5 124001240013400Core i5 13400122436486028.9128.7055.1055.61MIN: 28.13 / MAX: 34.69MIN: 28.15 / MAX: 35.06MIN: 43.43 / MAX: 57.02MIN: 41.77 / MAX: 68.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUCore i5 124001240013400Core i5 1340071421283525.4925.5732.0832.001. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUCore i5 124001240013400Core i5 13400306090120150156.75156.31124.62124.93MIN: 149.92 / MAX: 175.47MIN: 149.83 / MAX: 167MIN: 111.98 / MAX: 178.7MIN: 111.3 / MAX: 183.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUCore i5 124001240013400Core i5 134002004006008001000788.77790.35684.89694.551. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUCore i5 124001240013400Core i5 13400481216207.607.5814.5314.34MIN: 7.46 / MAX: 12.65MIN: 7.47 / MAX: 33.92MIN: 8.16 / MAX: 18.15MIN: 11.11 / MAX: 15.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUCore i5 124001240013400Core i5 1340080160240320400318.63316.13377.00376.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUCore i5 124001240013400Core i5 13400369121512.5512.6510.6010.62MIN: 12.23 / MAX: 20.14MIN: 12.01 / MAX: 18.99MIN: 9.52 / MAX: 16.08MIN: 9.14 / MAX: 16.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 124001240013400Core i5 13400140028004200560070006329.926317.975970.936046.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 124001240013400Core i5 134000.37350.7471.12051.4941.86750.940.941.661.65MIN: 0.9 / MAX: 6.47MIN: 0.91 / MAX: 6.48MIN: 0.97 / MAX: 2.79MIN: 1.27 / MAX: 2.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i5 124001240013400Core i5 13400150030004500600075006963.176960.146606.336605.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i5 124001240013400Core i5 134000.33980.67961.01941.35921.6990.860.861.511.51MIN: 0.84 / MAX: 6.54MIN: 0.83 / MAX: 6.58MIN: 1.14 / MAX: 2.14MIN: 1.11 / MAX: 1.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigCore i5 124001240013400Core i5 13400306090120150SE +/- 0.34, N = 3122.04121.3695.9396.78

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigCore i5 124001240013400Core i5 1340030060090012001500SE +/- 0.19, N = 31597.051592.631243.641245.07

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowCore i5 124001240013400Core i5 13400102030405033.1233.2043.3743.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumCore i5 124001240013400Core i5 13400102030405034.4734.4345.0245.131. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastCore i5 124001240013400Core i5 134002040608010075.4575.6392.7192.561. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastCore i5 124001240013400Core i5 1340030609012015094.9395.03119.27119.641. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i5 124001240013400Core i5 134004080120160200127.53127.36165.29164.901. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowCore i5 124001240013400Core i5 134002468106.936.948.678.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumCore i5 124001240013400Core i5 134002468107.137.128.908.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastCore i5 124001240013400Core i5 1340051015202517.7917.8422.2122.111. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastCore i5 124001240013400Core i5 1340071421283522.2222.2627.9327.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i5 124001240013400Core i5 1340091827364530.7030.6638.3138.181. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KCore i5 124001240013400Core i5 134000.651.31.952.63.25SE +/- 0.004, N = 32.4052.4082.8732.8891. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KCore i5 124001240013400Core i5 13400918273645SE +/- 0.10, N = 331.6131.5538.0037.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KCore i5 124001240013400Core i5 13400306090120150SE +/- 0.26, N = 3117.30116.98134.95134.251. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KCore i5 124001240013400Core i5 13400306090120150SE +/- 0.71, N = 3123.34123.73141.41142.941. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pCore i5 124001240013400Core i5 134003691215SE +/- 0.055, N = 37.8997.9159.0989.0121. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pCore i5 124001240013400Core i5 1340020406080100SE +/- 0.36, N = 387.1186.71103.93103.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pCore i5 124001240013400Core i5 13400110220330440550SE +/- 3.43, N = 3453.39447.69502.96500.431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pCore i5 124001240013400Core i5 13400120240360480600SE +/- 2.55, N = 3497.71497.22537.89533.941. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyCore i5 124001240013400Core i5 13400306090120150SE +/- 0.02, N = 3154.16154.30119.20119.15

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyCore i5 124001240013400Core i5 13400100200300400500SE +/- 0.14, N = 3445.12444.90348.77348.54

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyCore i5 124001240013400Core i5 1340050100150200250SE +/- 0.17, N = 3217.84216.93171.62171.28

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyCore i5 124001240013400Core i5 134004008001200160020001728.201726.291359.501365.21

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i5 124001240013400Core i5 13400120240360480600536.66535.47418.18419.60

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: SlowCore i5 124001240013400Core i5 1340071421283522.4122.4029.5529.37

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: MediumCore i5 124001240013400Core i5 1340081624324025.1425.1332.9332.86

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastCore i5 124001240013400Core i5 134002040608010064.1764.1581.6381.72

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastCore i5 124001240013400Core i5 134002040608010068.6068.5088.3388.26

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i5 124001240013400Core i5 134002040608010082.4182.38107.57107.50

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowCore i5 124001240013400Core i5 134001.25552.5113.76655.0226.27754.484.495.585.57

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumCore i5 124001240013400Core i5 134002468105.065.066.306.29

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastCore i5 124001240013400Core i5 1340051015202514.4414.4718.2918.25

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastCore i5 124001240013400Core i5 1340051015202515.4915.5019.5319.44

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i5 124001240013400Core i5 1340061218243018.9318.9223.9423.77

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0Core i5 124001240013400Core i5 134004080120160200SE +/- 0.36, N = 3180.90180.65140.72140.471. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2Core i5 124001240013400Core i5 1340020406080100SE +/- 0.04, N = 382.8382.4265.7265.431. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Core i5 124001240013400Core i5 134003691215SE +/- 0.012, N = 39.1279.0506.9707.0111. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessCore i5 124001240013400Core i5 134003691215SE +/- 0.02, N = 313.1713.1010.1210.081. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessCore i5 124001240013400Core i5 134001.31422.62843.94265.25686.571SE +/- 0.021, N = 35.8415.7474.9064.9831. (CXX) g++ options: -O3 -fPIC -lm

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCCore i5 124001240013400Core i5 134004080120160200SE +/- 0.58, N = 3146147175176MIN: 15 / MAX: 2301MIN: 15 / MAX: 2299MIN: 18 / MAX: 2713MIN: 19 / MAX: 2712

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarCore i5 124001240013400Core i5 1340020406080100SE +/- 0.00, N = 375759393MIN: 7 / MAX: 1382MIN: 7 / MAX: 1385MIN: 9 / MAX: 1775MIN: 9 / MAX: 1779

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 4KCore i5 124001240013400Core i5 13400246810SE +/- 0.00, N = 37.457.414.574.551. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 4KCore i5 124001240013400Core i5 134000.49050.9811.47151.9622.4525SE +/- 0.00, N = 32.172.181.311.311. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 4KCore i5 124001240013400Core i5 134000.38250.7651.14751.531.9125SE +/- 0.00, N = 31.701.701.081.081. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 4KCore i5 124001240013400Core i5 134000.12380.24760.37140.49520.619SE +/- 0.00, N = 30.550.550.310.311. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 1080pCore i5 124001240013400Core i5 13400714212835SE +/- 0.03, N = 327.9227.6517.9817.951. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 1080pCore i5 124001240013400Core i5 13400246810SE +/- 0.00, N = 38.218.215.165.161. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 1080pCore i5 124001240013400Core i5 13400246810SE +/- 0.00, N = 36.906.724.214.211. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 1080pCore i5 124001240013400Core i5 134000.49050.9811.47151.9622.4525SE +/- 0.00, N = 32.182.181.231.231. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

Connections: 1

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

Connections: 20

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Connections: 100

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Connections: 200

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 24 kbpsCore i5 124001240013400Core i5 1340081624324031.1829.9034.6935.28

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 1.5 kbpsCore i5 124001240013400Core i5 1340071421283526.0525.0129.1329.32

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 6 kbpsCore i5 124001240013400Core i5 1340071421283527.2026.2131.0430.82

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 3 kbpsCore i5 124001240013400Core i5 1340071421283527.0826.1430.3130.43

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

Connections: 500

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Connections: 1000

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Connections: 4000

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheCore i5 124001240013400Core i5 1340050100150200250180.38185.00212.37209.34MIN: 6.59 / MAX: 6666.67MIN: 6.4 / MAX: 6666.67MIN: 9.19 / MAX: 7500MIN: 9.46 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunCore i5 124001240013400Core i5 1340050100150200250200.59199.01228.27222.15MIN: 6.72 / MAX: 7500MIN: 6.76 / MAX: 6666.67MIN: 9.34 / MAX: 8571.43MIN: 9.54 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunCore i5 124001240013400Core i5 1340050100150200250202.90201.10225.55224.48MIN: 6.79 / MAX: 8571.43MIN: 6.78 / MAX: 7500MIN: 9.32 / MAX: 7500MIN: 9.15 / MAX: 7500

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 128Core i5 124001240013400Core i5 13400306090120150SE +/- 0.07, N = 3125.3125.3124.2124.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 256Core i5 124001240013400Core i5 13400306090120150SE +/- 0.00, N = 3124.9124.9124.3124.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 512Core i5 124001240013400Core i5 13400306090120150SE +/- 0.10, N = 3125.4124.9124.4124.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 1024Core i5 124001240013400Core i5 13400306090120150SE +/- 0.07, N = 3125.8124.8124.4124.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 128Core i5 124001240013400Core i5 1340015003000450060007500SE +/- 28.90, N = 36631.26622.06690.86770.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 256Core i5 124001240013400Core i5 134003K6K9K12K15KSE +/- 57.49, N = 313343.213478.113657.013704.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512Core i5 124001240013400Core i5 134007K14K21K28K35KSE +/- 56.87, N = 330654.130683.934012.034253.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128Core i5 124001240013400Core i5 134003K6K9K12K15KSE +/- 141.12, N = 311841.811716.512043.812118.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 256Core i5 124001240013400Core i5 134005K10K15K20K25KSE +/- 42.71, N = 323659.623631.123946.224114.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 512Core i5 124001240013400Core i5 1340010K20K30K40K50KSE +/- 45.17, N = 341073.540974.945770.245816.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128Core i5 124001240013400Core i5 134003K6K9K12K15KSE +/- 39.43, N = 314590.114628.714829.214961.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 256Core i5 124001240013400Core i5 134006K12K18K24K30KSE +/- 213.65, N = 329557.229540.229512.329664.7

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 512Core i5 124001240013400Core i5 1340011K22K33K44K55KSE +/- 42.65, N = 343959.343981.050477.050413.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 128Core i5 124001240013400Core i5 1340015K30K45K60K75KSE +/- 104.96, N = 359000.659140.669633.969900.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 256Core i5 124001240013400Core i5 1340015K30K45K60K75KSE +/- 126.38, N = 357642.857470.068318.568289.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512Core i5 124001240013400Core i5 1340014K28K42K56K70KSE +/- 241.43, N = 356455.556109.567125.866905.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 1024Core i5 124001240013400Core i5 134009K18K27K36K45KSE +/- 24.23, N = 336820.536894.842546.142551.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 1024Core i5 124001240013400Core i5 1340011K22K33K44K55KSE +/- 93.19, N = 341950.841862.449206.749201.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 1024Core i5 124001240013400Core i5 1340011K22K33K44K55KSE +/- 106.59, N = 344079.644239.551715.551692.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 1024Core i5 124001240013400Core i5 1340014K28K42K56K70KSE +/- 72.44, N = 355187.655093.565255.665146.2

169 Results Shown

BRL-CAD
Stargate Digital Audio Workstation:
  44100 - 512
  96000 - 512
  192000 - 512
  44100 - 1024
Y-Cruncher:
  1B
  500M
Stargate Digital Audio Workstation:
  480000 - 512
  96000 - 1024
  192000 - 1024
  480000 - 1024
JPEG XL Decoding libjxl:
  1
  All
JPEG XL libjxl:
  PNG - 80
  PNG - 90
  JPEG - 80
  JPEG - 90
  PNG - 100
  JPEG - 100
Xmrig:
  Monero - 1M
  Wownero - 1M
miniBUDE:
  OpenMP - BM1:
    GFInst/s
    Billion Interactions/s
nekRS
OpenRadioss:
  Bumper Beam
  Cell Phone Drop Test
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  INIVOL and Fluid Structure Interaction Drop Container
TensorFlow:
  CPU - 16 - AlexNet
  CPU - 32 - AlexNet
  CPU - 64 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 16 - ResNet-50
  CPU - 32 - GoogLeNet
  CPU - 32 - ResNet-50
  CPU - 64 - GoogLeNet
  CPU - 64 - ResNet-50
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    items/sec
    ms/batch
spaCy:
  en_core_web_lg
  en_core_web_trf
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
uvg266:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
OpenVKL:
  vklBenchmark ISPC
  vklBenchmark Scalar
QuadRay:
  1 - 4K
  2 - 4K
  3 - 4K
  5 - 4K
  1 - 1080p
  2 - 1080p
  3 - 1080p
  5 - 1080p
EnCodec:
  24 kbps
  1.5 kbps
  6 kbps
  3 kbps
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
CockroachDB:
  MoVR - 128
  MoVR - 256
  MoVR - 512
  MoVR - 1024
  KV, 10% Reads - 128
  KV, 10% Reads - 256
  KV, 10% Reads - 512
  KV, 50% Reads - 128
  KV, 50% Reads - 256
  KV, 50% Reads - 512
  KV, 60% Reads - 128
  KV, 60% Reads - 256
  KV, 60% Reads - 512
  KV, 95% Reads - 128
  KV, 95% Reads - 256
  KV, 95% Reads - 512
  KV, 10% Reads - 1024
  KV, 50% Reads - 1024
  KV, 60% Reads - 1024
  KV, 95% Reads - 1024