new-sat

2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2311059-NE-NEWSAT27963
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
October 28 2023
  1 Hour, 15 Minutes
b
October 28 2023
  49 Minutes
c
October 29 2023
  6 Minutes
d
October 29 2023
  2 Hours, 26 Minutes
e
November 01 2023
  1 Hour, 17 Minutes
f
November 01 2023
  24 Minutes
g
November 02 2023
  1 Hour, 15 Minutes
h
November 02 2023
  1 Hour, 15 Minutes
i
November 02 2023
  1 Minute
j
November 02 2023
  1 Hour, 43 Minutes
k
November 02 2023
  1 Hour, 49 Minutes
l
November 05 2023
  1 Hour, 30 Minutes
m
November 05 2023
  1 Hour, 30 Minutes
n
November 06 2023
  2 Hours, 8 Minutes
Invert Behavior (Only Show Selected Data)
  1 Hour, 15 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


new-sat ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen Resolutionabcdefghijklmn2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads)Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS)Intel Device 1bce1008GB3201GB Micron_7450_MTFDKCC3T2TFSASPEED2 x Intel X710 for 10GBASE-TUbuntu 23.106.6.0-rc5-phx-patched (x86_64)GNOME Shell 45.0X Server 1.21.1.7GCC 13.2.0ext41920x1200Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads)512GBIntel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads)2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads)1008GB2 x Intel X710 for 10GBASE-T2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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- a: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x2b0004b1- b: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x2b0004b1- c: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x2b0004b1- d: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x2b0004b1- e: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1- f: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1- g: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271- h: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271- i: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271- j: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271- k: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271- l: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1- m: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1- n: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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 / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected Python Details- e, f, g, h, i, j, k, l, m, n: Python 3.11.6

new-sat cloverleaf: clover_bm16cloverleaf: clover_bmcloverleaf: clover_bm64_shortopenvino: Face Detection FP16 - CPUheffte: c2c - FFTW - double-long - 128cpuminer-opt: Ringcoinopenvino: Weld Porosity Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUcpuminer-opt: LBC, LBRY Creditsopenvino: Face Detection FP16 - CPUcpuminer-opt: Skeincoincpuminer-opt: Blake-2 Scpuminer-opt: Magiheffte: r2c - FFTW - double - 128cpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Deepcoincpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Myriad-Groestlcpuminer-opt: scryptospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 2 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUospray-studio: 3 - 1080p - 16 - Path Tracer - CPUospray-studio: 1 - 1080p - 32 - Path Tracer - CPUospray-studio: 3 - 1080p - 32 - Path Tracer - CPUospray-studio: 1 - 1080p - 16 - Path Tracer - CPUopenvino: Road Segmentation ADAS FP16 - CPUospray-studio: 2 - 1080p - 32 - Path Tracer - CPUospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUospray-studio: 3 - 1080p - 1 - Path Tracer - CPUospray-studio: 2 - 4K - 1 - Path Tracer - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUospray-studio: 2 - 1080p - 1 - Path Tracer - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 2 - 4K - 32 - Path Tracer - CPUcpuminer-opt: Garlicoinopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUheffte: r2c - FFTW - double-long - 128openvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUheffte: c2c - FFTW - double - 128build-gem5: Time To Compileopenvino: Face Detection Retail FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUheffte: c2c - Stock - float - 128heffte: r2c - Stock - float - 256heffte: c2c - Stock - float - 256heffte: c2c - Stock - float - 512heffte: r2c - Stock - double - 128heffte: c2c - FFTW - float - 256heffte: c2c - FFTW - float-long - 128heffte: r2c - FFTW - float-long - 256heffte: c2c - FFTW - double - 512blosc: blosclz bitshuffle - 128MBheffte: r2c - FFTW - double - 256heffte: r2c - FFTW - float-long - 128heffte: c2c - FFTW - double-long - 256heffte: c2c - FFTW - float-long - 256heffte: c2c - FFTW - float - 512heffte: r2c - FFTW - float - 256blosc: blosclz bitshuffle - 256MBheffte: r2c - Stock - float-long - 128heffte: c2c - FFTW - float - 128heffte: r2c - Stock - double-long - 128heffte: r2c - FFTW - float-long - 512heffte: c2c - FFTW - double - 256heffte: r2c - FFTW - double-long - 256qmcpack: O_ae_pyscf_UHFheffte: c2c - Stock - double-long - 256heffte: c2c - Stock - double-long - 128heffte: r2c - Stock - double-long - 512heffte: r2c - FFTW - float - 512heffte: c2c - Stock - float-long - 256blosc: blosclz shuffle - 16MBheffte: c2c - FFTW - double - 1024heffte: r2c - Stock - double - 256blosc: blosclz shuffle - 64MBheffte: c2c - Stock - double - 256blosc: blosclz shuffle - 8MBblosc: blosclz shuffle - 32MBheffte: r2c - Stock - double - 512qmcpack: Li2_STO_aeblosc: blosclz shuffle - 128MBblosc: blosclz noshuffle - 128MBblosc: blosclz noshuffle - 256MBblosc: blosclz bitshuffle - 16MBheffte: r2c - Stock - float-long - 256blosc: blosclz noshuffle - 16MBqmcpack: H4_aeheffte: c2c - FFTW - double-long - 512heffte: c2c - Stock - float-long - 512blosc: blosclz noshuffle - 32MBheffte: r2c - FFTW - double-long - 1024heffte: r2c - Stock - float-long - 512heffte: r2c - Stock - float - 512heffte: r2c - FFTW - double-long - 512heffte: c2c - Stock - double - 128blosc: blosclz shuffle - 256MBheffte: c2c - FFTW - double-long - 1024heffte: c2c - Stock - double - 512blosc: blosclz noshuffle - 8MBblosc: blosclz bitshuffle - 32MBblosc: blosclz noshuffle - 64MBblosc: blosclz bitshuffle - 64MBheffte: c2c - FFTW - float-long - 1024heffte: r2c - FFTW - double - 512heffte: r2c - FFTW - float - 128heffte: r2c - Stock - float-long - 1024heffte: r2c - Stock - double-long - 256heffte: c2c - FFTW - float - 1024qmcpack: simple-H2Oduckdb: TPC-H Parquetheffte: c2c - Stock - float-long - 1024heffte: c2c - Stock - double-long - 512blosc: blosclz bitshuffle - 8MBqmcpack: FeCO6_b3lyp_gmsheffte: c2c - FFTW - float-long - 512qmcpack: LiH_ae_MSDheffte: r2c - Stock - float - 128heffte: c2c - Stock - float - 1024heffte: c2c - Stock - double - 1024heffte: r2c - FFTW - float - 1024heffte: r2c - Stock - float - 1024heffte: c2c - Stock - float-long - 128heffte: r2c - Stock - double-long - 1024heffte: c2c - Stock - double-long - 1024duckdb: IMDBheffte: r2c - Stock - double - 1024heffte: r2c - FFTW - float-long - 1024heffte: r2c - FFTW - double - 1024abcdefghijklmn224.9814.0324.3429.77655799.03589601338605352402683.5689.763926796032300384930479501220.9114067142231677042397076845935397192889362010662252699072303857333358346083725.5171.957471.4774125.363360.023172.186119.576115.201159.217143.402323.07869.6908130.153165.32467.4501166.056136.085345.601164.817140.098120.195246.41764.8474127.35367.431387.9144135.652242.8162.01882.0966149.77765.75133.759322.71567.0103128.23138.026244.606242.763124.49489.018882.817772.0271152.251123.786175.042299.635156.736151.717178.042153.3271.7427134.078161.815152.49482.6559261.576298.194123.364154.93982.7248259.420154.89262.189137.37214.0813.6924.9792.7315933.75596901336005354302681.4441.555626986032320384820462801194.313991142481678642137113842935427193889359410642262689082303855433490335673727.5538.496466.6381126.182323.206157.025129.547125.701173.449132.641348.22965.4142138.926175.73763.5861158.009133.271331.454158.419145.298124.546238.17563.6836131.68965.546190.2338132.365238.309158.11580.4689146.83966.9959131.436327.71866.1912129.794136.462241.839245.522123.11290.010781.965271.3098153.363122.949176.183297.937157.55152.472153.98571.4551133.67161.364152.91682.8318262.003297.888123.259155.04482.771154.81262.087137.378218.6714.0524.12115.39792.6394108.631159.458118.43160.51165.1177130.463341.133144.14262.712236.917175.272152.035303.8619.2832.195770.26586201341405338802672.6826745032317384423476231189.1014042143381676542587142849335587245894363610642272709102313902933652338174200.71178.825259.283323.538.7438.96385.455867.899078.33103.21103.0116489.331545.362955077.69670002677601370.861367001634019498025310618.593087631373360281224.11165.8215.866106.919344.4364.6639.86789213272157876633751.14133931644671119624164961663290.36290.884213566.26672911101.871878.875713058032115403221.62462.6686847.050.480.6138.546.44360.89106187.718.433.51197.5459.6616.7248.7754.36.28323.388.6838.943095131194361091323166281647671119624164971661422673375757258436183.7110.0020.86114.95520510978.5835.3535.3919358.981979.5621190104.3150420191940968.45978901173013954017860472.763683336770425921200.82196.216.356581.718871.4627.5317.55942415955188777939682.77161511984800923525005951990339.17338.845053685.7880104923.911884.4668562685062256.383319.81433.990384.310.30.5124.234.36244.29131083.0614.442.47206.0797.281339.9551.915.4182.639.8720.99115.135300.2111783.3635.3535.4119208.931988.321180104.1248010191940986.33979601214014017018010456.463657536787424121192.76196.286.346566.248855.9527.7517.58948715942189457952681.9161141975801023455005951989339.22338.615053678.9779992925.431889.0268355685932332.323314430.2388444.430.30.5224.124.06244.11131445.2614.462.49216.8787.313.0340.2251.845.419.941584.3778.70117.20124.171556021815.7137.9337.9835303.473910.9442230193.11956703826801946.41957102339027814035700939.583158722407307362375.2370.56.8712561.5916935.6529.6318.686496108521331953491283.22118011366565916913564201535632.07631.313616992.06609051712.713484.185159351940204606234.26806.26115992.720.310.4124.524.38258.62114581.5115.332.68195.4897.6213.6840.39565.651812.1763.3273.01125.391577021635.4738.2638.2334620.993918.1942230191.2959903826101946.341961002385027815035610900.682100022062344592377.19365.916.912534.6316935.0329.7518.827011105811304957711273.73116521361581216723444501381626.67627.123707049.72596891709.383465.574839352535205506196.74803.87103901.050.310.4124.484.42261.89119756.1615.432.74197.9487.6413.5940.3656.115.65137.3427232.9147.0747.147357.414387.28218.223004.85415.387.6914938.8321075.2640.6119.581530.63636.9636.487617.421914.913893.775831.93733.98144299.060.290.3727.34.35288.36151691.7320.512.52168.5828.0215.6639.9162.615.688697.65615.4214.6516680.212239.314338.216111.499.8168707.48089.45409.41689515231.912.5214712.65519.312794.515811.911321.911927.729.28814873.2128.7394.265137.2327109.546.9846.8747468.224379.43218.393004.85415.537.6914932.721071.0940.0419.571531.37638.13639.587626.391915.983895.495825.24744.86142293.670.290.3827.354.35288.29150804.0120.532.51162.3858.0215.6339.9162.565.688864.55389.3207.8416762.612161.814241.216050.998.17586408059.25333.416810.415269.212.6814746.75580.312855.315827.91131511905.529.18614846.5129.294.023222.0114.0724.90137.617748.2927112.8546.9447.1447369.394433.6959060217.791338405348402694.6127157032400385290464301201.631401714289166722991.51414.397.6914888.4921033.0440.919.5842067076842835451530.84719488936051057225268903638.56635.922307650.29389791912.823895.013308533789260005799.67729.58142499.690.290.3827.044.35289.07146682.3120.622.52165.8098.0515.5940.0962.675.698289.65455.4208.6216392.91200814082.415827.999.2618564.37960.25324.316633.415041.612.714569.95520.612742.31569111238.111839.729.14614815.4129.2394.301OpenBenchmarking.org

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16nkjhgfedcba400800120016002000SE +/- 0.98, N = 3222.011812.171584.37182.63183.71323.38323.53303.86218.67214.08224.981. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bmnkjihgfedcba20406080100SE +/- 0.11, N = 314.0763.3278.709.949.8710.008.688.7419.2814.0513.6914.031. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortnkjhgfedcba306090120150SE +/- 0.19, N = 324.9073.01117.2020.9920.8638.9438.9632.1924.1224.9724.341. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUnmlkjhge80160240320400137.61137.23137.34125.39124.17115.13114.95385.45MIN: 109.14 / MAX: 177.75MIN: 105.45 / MAX: 172.87MIN: 107.88 / MAX: 226.99MIN: 100.15 / MAX: 195.42MIN: 94.99 / MAX: 281.08MIN: 92.5 / MAX: 159.18MIN: 101.98 / MAX: 211.99MIN: 237.16 / MAX: 411.931. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128ba2040608010092.7329.781. (CXX) g++ options: -O3

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Ringcoinnkjhgedba3K6K9K12K15KSE +/- 117.64, N = 127748.2915770.0015560.005300.215205.005867.895770.265933.755799.031. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUnmlkjhge6K12K18K24K30K27112.8527109.5027232.9121635.4721815.7111783.3610978.589078.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUnmlkjhge2040608010046.9446.9847.0738.2637.9335.3535.35103.21MIN: 35.97 / MAX: 111.06MIN: 35.9 / MAX: 87.78MIN: 39.06 / MAX: 99.76MIN: 31.97 / MAX: 99.85MIN: 33.58 / MAX: 128.85MIN: 32.55 / MAX: 55.19MIN: 29.67 / MAX: 62.19MIN: 57.77 / MAX: 142.161. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUnmlkjhge2040608010047.1446.8747.1038.2337.9835.4135.39103.01MIN: 38.01 / MAX: 97.48MIN: 34.63 / MAX: 89.14MIN: 35.94 / MAX: 89.59MIN: 34.05 / MAX: 82MIN: 33.57 / MAX: 87.62MIN: 32.93 / MAX: 61.75MIN: 32.69 / MAX: 62.18MIN: 35.6 / MAX: 143.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUnmlkjhge10K20K30K40K50K47369.3947468.2247357.4134620.9935303.4719208.9319358.9816489.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUnmlkjhge100020003000400050004433.694379.434387.283918.193910.941988.301979.561545.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: LBC, LBRY Creditsnkjhgedba13K26K39K52K65KSE +/- 30.55, N = 35906042230422302118021190295505862059690589601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 2023.2.devModel: Face Detection FP16 - Device: CPUnmlkjhge50100150200250217.79218.39218.22191.20193.11104.12104.3177.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Skeincoinnkjhgedba30K60K90K120K150KSE +/- 922.19, N = 313384095990956704801050420670001341401336001338601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Blake-2 Snkjhgedba110K220K330K440K550KSE +/- 611.34, N = 35348403826103826801919401919402677605338805354305352401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Maginkjhgedba6001200180024003000SE +/- 3.06, N = 32694.611946.341946.40986.33968.451370.862672.682681.442683.561. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128cba306090120150115.4041.5689.761. (CXX) g++ options: -O3

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Quad SHA-256, Pyritenkjhgedba60K120K180K240K300KSE +/- 616.52, N = 327157019610019571097960978901367002674502698602679601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Deepcoinnkjhgedba7K14K21K28K35KSE +/- 38.44, N = 33240023850233901214011730163403231732320323001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Triple SHA-256, Onecoinnkjhgedba80K160K240K320K400KSE +/- 1685.56, N = 33852902781502781401401701395401949803844233848203849301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Myriad-Groestlnkjhgedba10K20K30K40K50KSE +/- 226.96, N = 34643035610357001801017860253104762346280479501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: scryptnkjhgedba30060090012001500SE +/- 0.70, N = 31201.63900.68939.58456.46472.76618.591189.101194.301220.911. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba8K16K24K32K40KSE +/- 11.26, N = 314017210003158736575368333095130876140421399114067

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba8K16K24K32K40KSE +/- 34.26, N = 314289220622240736787367703119431373143381424814223

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba9K18K27K36K45KSE +/- 30.39, N = 316672344593073642412425923610936028167651678616770

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 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUnmlkjhge60012001800240030002991.513004.853004.852377.192375.201192.761200.821224.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUnmlkjhge90180270360450414.39415.53415.38365.91370.50196.28196.21165.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUnmlkjhge481216207.697.697.696.906.876.346.3515.86MIN: 6.75 / MAX: 23.64MIN: 6.78 / MAX: 23.97MIN: 6.84 / MAX: 22.74MIN: 6.08 / MAX: 44.64MIN: 6.09 / MAX: 26.57MIN: 5.9 / MAX: 14.06MIN: 5.9 / MAX: 14.78MIN: 11.52 / MAX: 32.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUnmlkjhge3K6K9K12K15K14888.4914932.7014938.8312534.6312561.596566.246581.716106.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUnmlkjhge5K10K15K20K25K21033.0421071.0921075.2616935.0316935.658855.958871.469344.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUnmlkjhge142842567040.9040.0440.6129.7529.6327.7527.5364.66MIN: 23.54 / MAX: 269.54MIN: 22.98 / MAX: 252.16MIN: 28.19 / MAX: 258.26MIN: 23.81 / MAX: 291.46MIN: 23.86 / MAX: 333.15MIN: 23.59 / MAX: 217.1MIN: 23.27 / MAX: 212.35MIN: 49.3 / MAX: 84.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUnmlkjhge91827364519.5819.5719.5818.8218.6817.5817.5539.86MIN: 17.93 / MAX: 45.71MIN: 17.99 / MAX: 38.79MIN: 17.86 / MAX: 41.74MIN: 16.8 / MAX: 96.74MIN: 16.75 / MAX: 79.48MIN: 16.23 / MAX: 27.09MIN: 16.33 / MAX: 25.28MIN: 30.89 / MAX: 59.231. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUnkjhgedba2K4K6K8K10KSE +/- 2.33, N = 3420670116496948794247892425842134239

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba3K6K9K12K15KSE +/- 20.95, N = 37076105811085215942159551323113272714271137076

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUnkjhgedba4K8K12K16K20KSE +/- 14.44, N = 384281304913319189451887715787849384298459

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba2K4K6K8K10KSE +/- 3.71, N = 33545577153497952793966286633355835423539

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 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUnmlkjhge300600900120015001530.841531.371530.631273.731283.22681.90682.77751.141. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUnkjhgedba3K6K9K12K15KSE +/- 6.36, N = 371941165211801161141615113393724571937192

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba400800120016002000SE +/- 1.15, N = 3889136113661975198416471644894889889

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba2K4K6K8K10KSE +/- 5.36, N = 33605581256598010800967116711363635943620

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba5001000150020002500SE +/- 2.03, N = 31057167216912345235219621962106410641066

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba110220330440550SE +/- 0.00, N = 3225344356500500416416227226225

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba130260390520650SE +/- 0.00, N = 3268450420595595497496270268269

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba400800120016002000SE +/- 0.88, N = 3903138115351989199016611663910908907

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 2023.2.devModel: Person Detection FP16 - Device: CPUnmlkjhge140280420560700638.56638.13636.90626.67632.07339.22339.17290.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUnmlkjhge140280420560700635.92639.58636.48627.12631.31338.61338.84290.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba110220330440550SE +/- 0.00, N = 3230370361505505422421231230230

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 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUnmlkjhge160032004800640080007650.297626.397617.427049.726992.063678.973685.783566.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba20K40K60K80K100KSE +/- 299.89, N = 338979596896090579992801046733767291390293855438573

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 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUnmlkjhge4008001200160020001912.821915.981914.911709.381712.71925.43923.911101.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUnmlkjhge80016002400320040003895.013895.493893.773465.573484.181889.021884.461878.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba15K30K45K60K75KSE +/- 63.66, N = 333085483935159368355685625757257130336523349033358

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUnkjhgfedba15K30K45K60K75KSE +/- 21.94, N = 333789525355194068593685065843658032338173356734608

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Garlicoinnkjhgedba6K12K18K24K30KSE +/- 466.61, N = 1226000.0020550.0020460.002332.322256.3811540.004200.713727.553725.511. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUnmlkjhge130026003900520065005799.675825.245831.936196.746234.263314.003319.813221.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUnmlkjhge2004006008001000729.58744.86733.98803.87806.26430.23433.90462.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128ba163248648038.5071.961. (CXX) g++ options: -O3

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 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUnmlkjhge30K60K90K120K150K142499.69142293.67144299.06103901.05115992.7288444.4390384.3186847.051. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUnmlkjhge0.1080.2160.3240.4320.540.290.290.290.310.310.300.300.48MIN: 0.23 / MAX: 39.74MIN: 0.26 / MAX: 40.41MIN: 0.24 / MAX: 41.51MIN: 0.27 / MAX: 17.64MIN: 0.26 / MAX: 16.56MIN: 0.25 / MAX: 21.33MIN: 0.25 / MAX: 20.77MIN: 0.23 / MAX: 17.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUnmlkjhge0.13730.27460.41190.54920.68650.380.380.370.410.410.520.510.61MIN: 0.3 / MAX: 43.5MIN: 0.29 / MAX: 38.89MIN: 0.34 / MAX: 39.96MIN: 0.33 / MAX: 43.64MIN: 0.34 / MAX: 35.61MIN: 0.35 / MAX: 25.08MIN: 0.35 / MAX: 25.07MIN: 0.26 / MAX: 17.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUnmlkjhge91827364527.0427.3527.3024.4824.5224.1224.2338.54MIN: 24.72 / MAX: 50.96MIN: 21.13 / MAX: 51.46MIN: 24.8 / MAX: 50.96MIN: 23.23 / MAX: 49.9MIN: 23.19 / MAX: 54.56MIN: 22.95 / MAX: 31.04MIN: 23.13 / MAX: 32.82MIN: 23.05 / MAX: 52.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUnmlkjhge2468104.354.354.354.424.384.064.366.44MIN: 3.76 / MAX: 33.39MIN: 3.73 / MAX: 16.96MIN: 3.72 / MAX: 18.63MIN: 3.73 / MAX: 38.36MIN: 3.7 / MAX: 39.28MIN: 3.62 / MAX: 12.04MIN: 3.58 / MAX: 23MIN: 2.24 / MAX: 17.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUnmlkjhge80160240320400289.07288.29288.36261.89258.62244.11244.29360.89MIN: 215.04 / MAX: 341.97MIN: 214.96 / MAX: 344.63MIN: 214.15 / MAX: 340.62MIN: 205.93 / MAX: 306.15MIN: 201.42 / MAX: 286.91MIN: 188.68 / MAX: 273.96MIN: 209.59 / MAX: 272.46MIN: 130.24 / MAX: 396.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUnmlkjhge30K60K90K120K150K146682.31150804.01151691.73119756.16114581.51131445.26131083.06106187.701. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUnmlkjhge51015202520.6220.5320.5115.4315.3314.4614.4418.43MIN: 14.04 / MAX: 37.86MIN: 14.84 / MAX: 38.04MIN: 12.93 / MAX: 38.6MIN: 12.64 / MAX: 42.13MIN: 13.52 / MAX: 43.56MIN: 13.16 / MAX: 25.98MIN: 12.83 / MAX: 23.01MIN: 8.82 / MAX: 34.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUnmlkjhge0.78981.57962.36943.15923.9492.522.512.522.742.682.492.473.51MIN: 2.3 / MAX: 15.72MIN: 2.29 / MAX: 14.64MIN: 2.28 / MAX: 15.14MIN: 2.35 / MAX: 26.63MIN: 2.36 / MAX: 31.84MIN: 2.24 / MAX: 10.47MIN: 2.24 / MAX: 9.11MIN: 1.45 / MAX: 17.741. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128cba2040608010092.6466.6471.481. (CXX) g++ options: -O3

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To Compilenmlkjhge50100150200250165.81162.39168.58197.95195.49216.88206.08197.55

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.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUnmlkjhge36912158.058.028.027.647.627.307.289.66MIN: 7.01 / MAX: 22.43MIN: 7.06 / MAX: 19.79MIN: 7.02 / MAX: 20.74MIN: 6.82 / MAX: 24.32MIN: 6.81 / MAX: 24.56MIN: 6.66 / MAX: 16.96MIN: 6.68 / MAX: 15.94MIN: 5.23 / MAX: 20.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUnmlkjhge4812162015.5915.6315.6613.5913.6813.0313.0016.72MIN: 13.17 / MAX: 34.41MIN: 12.45 / MAX: 32.59MIN: 13.15 / MAX: 33.2MIN: 11.93 / MAX: 41.34MIN: 11.91 / MAX: 28.69MIN: 11.65 / MAX: 22.06MIN: 11.57 / MAX: 20.67MIN: 9.44 / MAX: 29.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUnmlkjhge112233445540.0939.9139.9140.3640.3940.2239.9548.77MIN: 38.11 / MAX: 59.9MIN: 37.95 / MAX: 57.96MIN: 37.94 / MAX: 58.88MIN: 39.01 / MAX: 73.27MIN: 39.1 / MAX: 63.97MIN: 39.04 / MAX: 47.11MIN: 38.59 / MAX: 46.29MIN: 29.81 / MAX: 58.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUnmlkjhge142842567062.6762.5662.6156.1156.0051.8451.9154.30MIN: 51.78 / MAX: 114.18MIN: 49.16 / MAX: 109.26MIN: 52.19 / MAX: 111.48MIN: 49.26 / MAX: 169.49MIN: 49.06 / MAX: 176.61MIN: 49.58 / MAX: 74.45MIN: 44.4 / MAX: 72.89MIN: 27.95 / MAX: 73.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUnmlkjhge2468105.695.685.685.655.655.415.406.28MIN: 5.2 / MAX: 16.43MIN: 5.25 / MAX: 14.86MIN: 4.97 / MAX: 15.4MIN: 5.13 / MAX: 21.07MIN: 5.22 / MAX: 20.27MIN: 5 / MAX: 13.32MIN: 5 / MAX: 12.46MIN: 3.85 / MAX: 24.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float - X Y Z: 128cba306090120150108.63126.18125.361. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float - X Y Z: 256ba80160240320400323.21360.021. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float - X Y Z: 256cba4080120160200159.46157.03172.191. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float - X Y Z: 512cba306090120150118.43129.55119.581. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double - X Y Z: 128ba306090120150125.70115.201. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256cba4080120160200160.51173.45159.221. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128ba306090120150132.64143.401. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256ba80160240320400348.23323.081. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512cba163248648065.1265.4169.691. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 128MBnml2K4K6K8K10K8289.68864.58697.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256ba306090120150138.93130.151. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128ba4080120160200175.74165.321. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256ba153045607563.5967.451. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256ba4080120160200158.01166.061. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512cba306090120150130.46133.27136.091. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256cba80160240320400341.13331.45345.601. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 256MBnml120024003600480060005455.45389.35615.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128ba4080120160200158.42164.821. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128cba306090120150144.14145.30140.101. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128ba306090120150124.55120.201. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512ba50100150200250238.18246.421. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256cba142842567062.7163.6864.851. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256ba306090120150131.69127.351. (CXX) g++ options: -O3

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFnml50100150200250208.62207.84214.651. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256ba153045607565.5567.431. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128ba2040608010090.2387.911. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512ba306090120150132.37135.651. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512cba50100150200250236.92238.31242.801. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256ba4080120160200158.12162.021. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 16MBnml4K8K12K16K20K16392.916762.616680.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double - X Y Z: 1024ba2040608010080.4782.101. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double - X Y Z: 256ba306090120150146.84149.781. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 64MBnml3K6K9K12K15K12008.012161.812239.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double - X Y Z: 256ba153045607567.0065.751. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 8MBnml3K6K9K12K15K14082.414241.214338.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 32MBnml3K6K9K12K15K15827.916050.916111.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double - X Y Z: 512ba306090120150131.44133.761. (CXX) g++ options: -O3

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aenml2040608010099.2698.1899.821. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 128MBnml2K4K6K8K10K8564.38640.08707.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 128MBnml2K4K6K8K10K7960.28059.28089.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 256MBnml120024003600480060005324.35333.45409.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 16MBnml4K8K12K16K20K16633.416810.416895.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256ba70140210280350327.72322.721. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 16MBnml3K6K9K12K15K15041.615269.215231.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aenml369121512.7012.6812.521. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512ba153045607566.1967.011. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512ba306090120150129.79128.231. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 32MBnml3K6K9K12K15K14569.914746.714712.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 1024ba306090120150136.46138.031. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512ba50100150200250241.84244.611. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float - X Y Z: 512ba50100150200250245.52242.761. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512ba306090120150123.11124.491. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double - X Y Z: 128ba2040608010090.0189.021. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 256MBnml120024003600480060005520.65580.35519.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 1024ba2040608010081.9782.821. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double - X Y Z: 512ba163248648071.3172.031. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 8MBnml3K6K9K12K15K12742.312855.312794.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 32MBnml3K6K9K12K15K15691.015827.915811.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 64MBnml2K4K6K8K10K11238.111315.011321.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 64MBnml3K6K9K12K15K11839.711905.511927.71. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 1024ba306090120150153.36152.251. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512ba306090120150122.95123.791. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128cba4080120160200175.27176.18175.041. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 1024ba70140210280350297.94299.641. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256ba306090120150157.55156.741. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 1024cba306090120150152.04152.47151.721. (CXX) g++ options: -O3

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2Onml71421283529.1529.1929.291. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H Parquetda4080120160200SE +/- 2.06, N = 3SE +/- 1.27, N = 3178.83178.041. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

Benchmark: TPC-H Parquet

b: The test run did not produce a result.

e: The test run did not produce a result.

g: The test run did not produce a result.

h: The test run did not produce a result.

j: The test run did not produce a result.

k: The test run did not produce a result.

n: The test run did not produce a result.

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 1024ba306090120150153.99153.321. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512ba163248648071.4671.741. (CXX) g++ options: -O3

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 8MBnml3K6K9K12K15K14815.414846.514873.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmsnml306090120150129.23129.20128.731. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512ba306090120150133.67134.081. (CXX) g++ options: -O3

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDnml2040608010094.3094.0294.271. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float - X Y Z: 128ba4080120160200161.36161.821. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float - X Y Z: 1024ba306090120150152.92152.491. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double - X Y Z: 1024ba2040608010082.8382.661. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 1024ba60120180240300262.00261.581. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float - X Y Z: 1024ba60120180240300297.89298.191. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128ba306090120150123.26123.361. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 1024ba306090120150155.04154.941. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 1024ba2040608010082.7782.721. (CXX) g++ options: -O3

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBda60120180240300SE +/- 3.23, N = 4SE +/- 1.33, N = 3259.28259.421. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

Benchmark: IMDB

b: The test run did not produce a result.

e: The test run did not produce a result.

g: The test run did not produce a result.

h: The test run did not produce a result.

j: The test run did not produce a result.

k: The test run did not produce a result.

n: The test run did not produce a result.

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double - X Y Z: 1024ba306090120150154.81154.891. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 1024ba60120180240300262.09262.191. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 1024ba306090120150137.38137.371. (CXX) g++ options: -O3

159 Results Shown

CloverLeaf:
  clover_bm16
  clover_bm
  clover_bm64_short
OpenVINO
HeFFTe - Highly Efficient FFT for Exascale
Cpuminer-Opt
OpenVINO:
  Weld Porosity Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Handwritten English Recognition FP16 - CPU
Cpuminer-Opt
OpenVINO
Cpuminer-Opt:
  Skeincoin
  Blake-2 S
  Magi
HeFFTe - Highly Efficient FFT for Exascale
Cpuminer-Opt:
  Quad SHA-256, Pyrite
  Deepcoin
  Triple SHA-256, Onecoin
  Myriad-Groestl
  scrypt
OSPRay Studio:
  1 - 4K - 16 - Path Tracer - CPU
  2 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
OpenVINO:
  Handwritten English Recognition FP16-INT8 - CPU
  Face Detection FP16-INT8 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection Retail FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
OSPRay Studio:
  3 - 1080p - 16 - Path Tracer - CPU
  1 - 1080p - 32 - Path Tracer - CPU
  3 - 1080p - 32 - Path Tracer - CPU
  1 - 1080p - 16 - Path Tracer - CPU
OpenVINO
OSPRay Studio:
  2 - 1080p - 32 - Path Tracer - CPU
  1 - 4K - 1 - Path Tracer - CPU
  2 - 1080p - 16 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
  1 - 1080p - 1 - Path Tracer - CPU
  3 - 1080p - 1 - Path Tracer - CPU
  2 - 4K - 1 - Path Tracer - CPU
OpenVINO:
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
OSPRay Studio
OpenVINO
OSPRay Studio
OpenVINO:
  Road Segmentation ADAS FP16-INT8 - CPU
  Vehicle Detection FP16 - CPU
OSPRay Studio:
  1 - 4K - 32 - Path Tracer - CPU
  2 - 4K - 32 - Path Tracer - CPU
Cpuminer-Opt
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
HeFFTe - Highly Efficient FFT for Exascale
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
HeFFTe - Highly Efficient FFT for Exascale
Timed Gem5 Compilation
OpenVINO:
  Face Detection Retail FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Face Detection Retail FP16-INT8 - CPU
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - Stock - float - 128
  r2c - Stock - float - 256
  c2c - Stock - float - 256
  c2c - Stock - float - 512
  r2c - Stock - double - 128
  c2c - FFTW - float - 256
  c2c - FFTW - float-long - 128
  r2c - FFTW - float-long - 256
  c2c - FFTW - double - 512
C-Blosc
HeFFTe - Highly Efficient FFT for Exascale:
  r2c - FFTW - double - 256
  r2c - FFTW - float-long - 128
  c2c - FFTW - double-long - 256
  c2c - FFTW - float-long - 256
  c2c - FFTW - float - 512
  r2c - FFTW - float - 256
C-Blosc
HeFFTe - Highly Efficient FFT for Exascale:
  r2c - Stock - float-long - 128
  c2c - FFTW - float - 128
  r2c - Stock - double-long - 128
  r2c - FFTW - float-long - 512
  c2c - FFTW - double - 256
  r2c - FFTW - double-long - 256
QMCPACK
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - Stock - double-long - 256
  c2c - Stock - double-long - 128
  r2c - Stock - double-long - 512
  r2c - FFTW - float - 512
  c2c - Stock - float-long - 256
C-Blosc
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - FFTW - double - 1024
  r2c - Stock - double - 256
C-Blosc
HeFFTe - Highly Efficient FFT for Exascale
C-Blosc:
  blosclz shuffle - 8MB
  blosclz shuffle - 32MB
HeFFTe - Highly Efficient FFT for Exascale
QMCPACK
C-Blosc:
  blosclz shuffle - 128MB
  blosclz noshuffle - 128MB
  blosclz noshuffle - 256MB
  blosclz bitshuffle - 16MB
HeFFTe - Highly Efficient FFT for Exascale
C-Blosc
QMCPACK
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - FFTW - double-long - 512
  c2c - Stock - float-long - 512
C-Blosc
HeFFTe - Highly Efficient FFT for Exascale:
  r2c - FFTW - double-long - 1024
  r2c - Stock - float-long - 512
  r2c - Stock - float - 512
  r2c - FFTW - double-long - 512
  c2c - Stock - double - 128
C-Blosc
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - FFTW - double-long - 1024
  c2c - Stock - double - 512
C-Blosc:
  blosclz noshuffle - 8MB
  blosclz bitshuffle - 32MB
  blosclz noshuffle - 64MB
  blosclz bitshuffle - 64MB
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - FFTW - float-long - 1024
  r2c - FFTW - double - 512
  r2c - FFTW - float - 128
  r2c - Stock - float-long - 1024
  r2c - Stock - double-long - 256
  c2c - FFTW - float - 1024
QMCPACK
DuckDB
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - Stock - float-long - 1024
  c2c - Stock - double-long - 512
C-Blosc
QMCPACK
HeFFTe - Highly Efficient FFT for Exascale
QMCPACK
HeFFTe - Highly Efficient FFT for Exascale:
  r2c - Stock - float - 128
  c2c - Stock - float - 1024
  c2c - Stock - double - 1024
  r2c - FFTW - float - 1024
  r2c - Stock - float - 1024
  c2c - Stock - float-long - 128
  r2c - Stock - double-long - 1024
  c2c - Stock - double-long - 1024
DuckDB
HeFFTe - Highly Efficient FFT for Exascale:
  r2c - Stock - double - 1024
  r2c - FFTW - float-long - 1024
  r2c - FFTW - double - 1024