Core i5 8400 April

Intel Core i5-8400 testing with a MSI Z370M MORTAR (MS-7B54) v1.0 (1.50 BIOS) and MSI Intel UHD 630 3GB on Ubuntu 19.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2004119-NI-COREI584078.

Core i5 8400 AprilProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionIntel Core i5-8400Intel Core i5-8400 @ 4.00GHz (6 Cores)MSI Z370M MORTAR (MS-7B54) v1.0 (1.50 BIOS)Intel 8th Gen Core8GB512GB INTEL SSDPEKNW512G8MSI Intel UHD 630 3GB (1050MHz)Realtek ALC892VA2431Intel I219-VUbuntu 19.045.0.0-38-generic (x86_64)GNOME Shell 3.32.1X Server 1.20.4modesetting 1.20.44.5 Mesa 19.0.2GCC 10.0.1 20200409ext41920x1080OpenBenchmarking.org- --disable-multilib --enable-checking=release --enable-languages=c,c++,fortran - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xca- OpenJDK Runtime Environment (build 11.0.5+10-post-Ubuntu-0ubuntu1.119.04) - Python 2.7.16 + Python 3.7.3- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + tsx_async_abort: Not affected

Core i5 8400 Aprilarrayfire: BLAS CPUarrayfire: Conjugate Gradient CPUmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8f32mkl-dnn: IP Batch All - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Recurrent Neural Network Inference - f32dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objoidn: Memorialluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismbuild-gcc: Time To Compilebuild-llvm: Time To Compileyafaray: Total Time For Sample Sceneleveldb: Hot Readleveldb: Fill Syncleveldb: Fill Syncleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillleveldb: Rand Readleveldb: Seek Randleveldb: Rand Deleteleveldb: Seq Fillleveldb: Seq Fillintel-mpi: IMB-P2P PingPongintel-mpi: IMB-MPI1 Exchangeintel-mpi: IMB-MPI1 Exchangeintel-mpi: IMB-MPI1 PingPongintel-mpi: IMB-MPI1 Sendrecvintel-mpi: IMB-MPI1 Sendrecvtensorflow: Cifar10rawtherapee: Total Benchmark Timecassandra: Readscassandra: Writescassandra: Mixed 1:1cassandra: Mixed 1:3Intel Core i5-8400598.59618.425.3436580.64163.6024148.23646.776809.05623288.2677.09739311.06682.6716328.0296.49310.9686.414.95175.68856.06235.62317.25866.53155.760.840.951485.5661188.053270.6162.5080.32211.60629.322.69029.722.3542.4783.07221.04232.320.5686240532.10144932475.88300.161571.471877.39202.0485.6978.27518894211441833018450OpenBenchmarking.org

ArrayFire

Test: BLAS CPU

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUIntel Core i5-8400130260390520650SE +/- 0.17, N = 3598.601. (CXX) g++ options: -rdynamic

ArrayFire

Test: Conjugate Gradient CPU

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUIntel Core i5-8400510152025SE +/- 0.05, N = 318.421. (CXX) g++ options: -rdynamic

oneDNN MKL-DNN

Harness: IP Batch 1D - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32Intel Core i5-84001.20232.40463.60694.80926.0115SE +/- 0.01008, N = 35.34365MIN: 5.271. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: IP Batch All - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32Intel Core i5-840020406080100SE +/- 0.11, N = 380.64MIN: 79.61. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: IP Batch 1D - Data Type: u8s8f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32Intel Core i5-84000.81051.6212.43153.2424.0525SE +/- 0.00275, N = 33.60241MIN: 3.581. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: IP Batch All - Data Type: u8s8f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: u8s8f32Intel Core i5-84001122334455SE +/- 0.02, N = 348.24MIN: 47.871. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: Deconvolution Batch deconv_1d - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32Intel Core i5-8400246810SE +/- 0.00150, N = 36.77680MIN: 6.731. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: Deconvolution Batch deconv_3d - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32Intel Core i5-84003691215SE +/- 0.00391, N = 39.05623MIN: 8.991. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32Intel Core i5-840060120180240300SE +/- 3.78, N = 3288.27MIN: 284.021. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32Intel Core i5-8400246810SE +/- 0.00135, N = 37.09739MIN: 7.061. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: Recurrent Neural Network Training - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32Intel Core i5-840070140210280350SE +/- 4.70, N = 3311.07MIN: 299.741. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

oneDNN MKL-DNN

Harness: Recurrent Neural Network Inference - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32Intel Core i5-840020406080100SE +/- 1.15, N = 382.67MIN: 79.731. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.6.0Video Input: Chimera 1080pIntel Core i5-840070140210280350SE +/- 0.28, N = 3328.02MIN: 249.22 / MAX: 486.971. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.6.0Video Input: Summer Nature 4KIntel Core i5-840020406080100SE +/- 0.12, N = 396.49MIN: 90.33 / MAX: 109.41. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.6.0Video Input: Summer Nature 1080pIntel Core i5-840070140210280350SE +/- 0.78, N = 3310.96MIN: 277.26 / MAX: 340.61. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.6.0Video Input: Chimera 1080p 10-bitIntel Core i5-840020406080100SE +/- 0.04, N = 386.41MIN: 60.32 / MAX: 181.571. (CC) gcc options: -pthread

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownIntel Core i5-84001.11412.22823.34234.45645.5705SE +/- 0.0535, N = 34.9517MIN: 4.81 / MAX: 5.08

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownIntel Core i5-84001.27992.55983.83975.11966.3995SE +/- 0.0093, N = 35.6885MIN: 5.65 / MAX: 5.77

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonIntel Core i5-8400246810SE +/- 0.0107, N = 36.0623MIN: 6.01 / MAX: 6.15

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjIntel Core i5-84001.26522.53043.79565.06086.326SE +/- 0.0143, N = 35.6231MIN: 5.58 / MAX: 5.68

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonIntel Core i5-8400246810SE +/- 0.0391, N = 37.2586MIN: 7.16 / MAX: 7.43

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjIntel Core i5-8400246810SE +/- 0.0027, N = 36.5315MIN: 6.51 / MAX: 6.59

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialIntel Core i5-84001.2962.5923.8885.1846.48SE +/- 0.04, N = 35.76

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCIntel Core i5-84000.1890.3780.5670.7560.945SE +/- 0.00, N = 30.84MIN: 0.81 / MAX: 0.85

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismIntel Core i5-84000.21380.42760.64140.85521.069SE +/- 0.01, N = 30.95MIN: 0.93 / MAX: 1.01

Timed GCC Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileIntel Core i5-840030060090012001500SE +/- 0.70, N = 31485.57

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileIntel Core i5-840030060090012001500SE +/- 0.41, N = 31188.05

YafaRay

Total Time For Sample Scene

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneIntel Core i5-840060120180240300SE +/- 0.39, N = 3270.621. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale

LevelDB

Benchmark: Hot Read

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadIntel Core i5-84000.56431.12861.69292.25722.8215SE +/- 0.038, N = 32.5081. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Fill Sync

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncIntel Core i5-84000.06750.1350.20250.270.3375SE +/- 0.00, N = 30.31. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Fill Sync

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncIntel Core i5-84005001000150020002500SE +/- 5.99, N = 32211.611. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Overwrite

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteIntel Core i5-8400714212835SE +/- 0.34, N = 629.31. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Overwrite

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteIntel Core i5-8400510152025SE +/- 0.26, N = 622.691. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Random Fill

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillIntel Core i5-8400714212835SE +/- 0.39, N = 1529.71. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Random Fill

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillIntel Core i5-8400510152025SE +/- 0.30, N = 1522.351. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Random Read

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadIntel Core i5-84000.55761.11521.67282.23042.788SE +/- 0.007, N = 32.4781. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Seek Random

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomIntel Core i5-84000.69121.38242.07362.76483.456SE +/- 0.021, N = 33.0721. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Random Delete

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteIntel Core i5-8400510152025SE +/- 0.18, N = 321.041. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Sequential Fill

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillIntel Core i5-8400816243240SE +/- 0.20, N = 332.31. (CXX) g++ options: -O3 -lsnappy -lpthread

LevelDB

Benchmark: Sequential Fill

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillIntel Core i5-8400510152025SE +/- 0.13, N = 320.571. (CXX) g++ options: -O3 -lsnappy -lpthread

Intel MPI Benchmarks

Test: IMB-P2P PingPong

OpenBenchmarking.orgAverage Msg/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-P2P PingPongIntel Core i5-84001.3M2.6M3.9M5.2M6.5MSE +/- 30652.72, N = 36240532.10MIN: 1651 / MAX: 151408461. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

Intel MPI Benchmarks

Test: IMB-MPI1 Exchange

OpenBenchmarking.orgAverage Mbytes/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 ExchangeIntel Core i5-84005001000150020002500SE +/- 4.42, N = 32475.88MAX: 8228.631. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

Intel MPI Benchmarks

Test: IMB-MPI1 Exchange

OpenBenchmarking.orgAverage usec, Fewer Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 ExchangeIntel Core i5-840070140210280350SE +/- 0.75, N = 3300.16MIN: 0.37 / MAX: 4505.511. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

Intel MPI Benchmarks

Test: IMB-MPI1 PingPong

OpenBenchmarking.orgAverage Mbytes/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 PingPongIntel Core i5-840030060090012001500SE +/- 5.18, N = 31571.47MIN: 9.54 / MAX: 42051. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

Intel MPI Benchmarks

Test: IMB-MPI1 Sendrecv

OpenBenchmarking.orgAverage Mbytes/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 SendrecvIntel Core i5-8400400800120016002000SE +/- 5.34, N = 31877.39MAX: 8111.791. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

Intel MPI Benchmarks

Test: IMB-MPI1 Sendrecv

OpenBenchmarking.orgAverage usec, Fewer Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 SendrecvIntel Core i5-84004080120160200SE +/- 0.57, N = 3202.04MIN: 0.25 / MAX: 3537.311. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

Tensorflow

Build: Cifar10

OpenBenchmarking.orgSeconds, Fewer Is BetterTensorflowBuild: Cifar10Intel Core i5-840020406080100SE +/- 0.26, N = 385.69

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeIntel Core i5-840020406080100SE +/- 0.02, N = 378.281. RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line.

Apache Cassandra

Test: Reads

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: ReadsIntel Core i5-84004K8K12K16K20KSE +/- 166.62, N = 1218894

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesIntel Core i5-84005K10K15K20K25KSE +/- 337.98, N = 321144

Apache Cassandra

Test: Mixed 1:1

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:1Intel Core i5-84004K8K12K16K20KSE +/- 259.90, N = 418330

Apache Cassandra

Test: Mixed 1:3

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:3Intel Core i5-84004K8K12K16K20KSE +/- 246.62, N = 418450

Phoronix Test Suite v10.8.4