GCE c3d-standard-60

amazon testing on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2310055-NE-2310039NE76&rdt&grr.

GCE c3d-standard-60ProcessorMotherboardChipsetMemoryDiskNetworkOSKernelVulkanCompilerFile-SystemSystem Layerc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlargeAMD EPYC 9B14 (30 Cores / 60 Threads)Google Compute Engine c3d-standard-60Intel 440FX 82441FX PMC240GB215GB nvme_card-pdGoogle Compute Engine VirtualUbuntu 22.046.2.0-1014-gcp (x86_64)1.3.238GCC 11.4.0ext4KVMAMD EPYC 7B13 (60 Cores)Google Compute Engine t2d-standard-60215GB PersistentDiskRed Hat Virtio deviceARMv8 Neoverse-N1 (64 Cores)Amazon EC2 c6g.16xlarge (1.0 BIOS)Amazon Device 0200128GB215GB Amazon Elastic Block StoreAmazon Elastic5.19.0-1025-aws (aarch64)amazonOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- c3d-standard-60 AMD Genoa: --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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 - t2d-standard-60 AMD Milan: --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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 - c6g.16xlarge: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --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-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v Processor Details- c3d-standard-60 AMD Genoa, t2d-standard-60 AMD Milan: CPU Microcode: 0xffffffffJava Details- OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.12Security Details- c3d-standard-60 AMD Genoa: 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_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - t2d-standard-60 AMD Milan: 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_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - c6g.16xlarge: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected

GCE c3d-standard-60pgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 800 - Read Writenekrs: Kershawlammps: 20k Atomsopenradioss: Chrysler Neon 1Mapache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400blender: Barbershop - CPU-Onlynekrs: TurboPipe Periodicopenradioss: Bird Strike on Windshieldpgbench: 100 - 1000 - Read Writeopenradioss: Bumper Beamrodinia: OpenMP HotSpot3Dcassandra: Writesbuild-linux-kernel: allmodconfigstockfish: Total Timeapache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400build-nodejs: Time To Compileopenradioss: Rubber O-Ring Seal Installationopenradioss: Cell Phone Drop Testbrl-cad: VGR Performance Metricbuild-gem5: Time To Compileopenssl: AES-256-GCMopenssl: AES-128-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305openssl: SHA512openssl: SHA256openvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400pgbench: 100 - 800 - Read Only - Average Latencytensorflow: CPU - 64 - ResNet-50pgbench: 100 - 1000 - Read Only - Average Latencyopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUavifenc: 0blender: Pabellon Barcelona - CPU-Onlypgbench: 100 - 800 - Read Onlypgbench: 100 - 1000 - Read Onlylaghos: Sedov Blast Wave, ube_922_hex.meshnginx: 1000nginx: 500blender: Classroom - CPU-Onlynpb: IS.Davifenc: 2npb: LU.Copenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUtensorflow: CPU - 32 - ResNet-50npb: SP.Copenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenssl: RSA4096openssl: RSA4096rodinia: OpenMP LavaMDnpb: BT.Claghos: Triple Point Problemgromacs: MPI CPU - water_GMX50_barebuild-linux-kernel: defconfigincompact3d: input.i3d 193 Cells Per Directionnpb: EP.Dtensorflow: CPU - 16 - ResNet-50blender: Fishy Cat - CPU-Onlyblender: BMW27 - CPU-Onlyamg: rodinia: OpenMP Leukocytecompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingnpb: FT.Cnpb: CG.Cremhos: Sample Remap Examplelibxsmm: 32libxsmm: 64coremark: CoreMark Size 666 - Iterations Per Secondrodinia: OpenMP Streamclusteravifenc: 6, Losslessrodinia: OpenMP CFD Solverincompact3d: input.i3d 129 Cells Per Directionnpb: MG.Cavifenc: 6lammps: Rhodopsin Proteinheffte: c2c - FFTW - double - 128heffte: r2c - FFTW - double - 128heffte: r2c - FFTW - float - 128heffte: c2c - FFTW - float - 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge428985833319.776337.70682.12353598844723940000147.3192.8784.166228640105894457447.683433223734762565623.89198.39489.6538.82510819176.76729332804849734309528444017398094989312390930477314702270573462118213135.862043.05418.593326815869.6883.99142.7583.91142.9078.068259.55180537.84187350.442422.4041.53873563.13340.2935.1962.7439919.71648.8118.3918.56645.744.536605.1264.70185.296.791764.2120.77576.9439.38761.1431.08964.468.621389.698.203650.5715.981875.282.874166.390.454971.260.5243607.04493077.620079.564.86296257.48209.004.39128.01968773783.6050.9996288983345.49822621127179539647.4719597.8633.362255.4489.71445843.5215526.4486.88910.0255.8715788542701.833.25017.42357.311693.6005148.57588.6301140.916172.7175682368193583326.734327.88709.4635068557351.582730620000123.61579375.6888.535187169333.351112958788433.963412381034925899633.58191.70672.0630.12629363170.93021602596764023460408261018024914577011964772033722244804183508849971039.901512.57415.08334668040.39920.900.498208.4773.74193.4578.9678.350112.6420037842008186364.64155609.04162957.7589.351752.6241.98994247.77568.7726.2820.3643228.111393.5610.7326.50565.343.524239.52155.1496.5823.64633.7666.46225.4876.72390.7281.00370.0340.67368.3911.322646.5814.761014.7011.651285.470.6144049.150.9929668.12860844.612973.050.974122720.61222.305.28933.39924.57211814935.6818.2945.2234.2792042776742.01024725527897354846.1816649.3716.326289.2554.21730658.4494406.4237.6397.3685.6305732747291.963.20527.82860.0343106.029196.948109.676168.191210.6084784175886000025.05922217100004776217355409.09781807706286.201224.414129198197600158788510970673247783604671512648714384917863422885139736990.100.140.7671.026947.591.06947.861.06270.0681043267975031321.29158700.36162553.85915.80167.94618807.7522391.860.049716.999996.560.16773.310.152186.810.46735.581.36135.877.36382.472.61423.952.36394.942.53153.126.53181.945.50119.178.3948.0820.797.33136.165.58178.82215683.22640.062.30124229.14179.522.766102.21625.87483282213.76103289366723404623973521386.3713343.3520.816312.7589.51259870.71690214.2128.8795.9835.6181168625661.044.46726.04132.357579.0156202.445129.172OpenBenchmarking.org

PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyt2d-standard-60 AMD Milanc6g.16xlarge4080120160200SE +/- 1.23, N = 12SE +/- 3.85, N = 12140.92168.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencyt2d-standard-60 AMD Milanc6g.16xlarge50100150200250SE +/- 1.44, N = 8SE +/- 6.00, N = 9172.72210.611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Writet2d-standard-60 AMD Milanc6g.16xlarge12002400360048006000SE +/- 49.28, N = 12SE +/- 109.40, N = 12568247841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

nekRS

Input: Kershaw

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge900M1800M2700M3600M4500MSE +/- 57202190.49, N = 12SE +/- 84802173.02, N = 12SE +/- 2970005.61, N = 34289858333368193583317588600001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atomsc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge612182430SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 319.7826.7325.06-lm-lm1. (CXX) g++ options: -O3 -ldl

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan70140210280350SE +/- 2.03, N = 3SE +/- 1.48, N = 3337.70327.88

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan150300450600750SE +/- 7.53, N = 3SE +/- 25.87, N = 3682.12709.46MAX: 98294.84MAX: 113264.06

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan8M16M24M32M40MSE +/- 267152.12, N = 3SE +/- 354923.23, N = 33535988435068557

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlyt2d-standard-60 AMD Milan80160240320400SE +/- 0.60, N = 3351.58

nekRS

Input: TurboPipe Periodic

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1000M2000M3000M4000M5000MSE +/- 201939132.13, N = 12SE +/- 481352.26, N = 3SE +/- 1790009.31, N = 34723940000273062000022217100001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenRadioss

Model: Bird Strike on Windshield

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshieldc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan306090120150SE +/- 3.26, N = 9SE +/- 0.13, N = 3147.31123.61

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Writet2d-standard-60 AMD Milanc6g.16xlarge12002400360048006000SE +/- 49.93, N = 8SE +/- 124.50, N = 9579347761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenRadioss

Model: Bumper Beam

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 1.56, N = 15SE +/- 0.10, N = 392.8775.68

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3Dc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 0.86, N = 15SE +/- 1.83, N = 1284.1788.541. (CXX) g++ options: -O2 -lOpenCL

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge50K100K150K200K250KSE +/- 1129.40, N = 3SE +/- 681.76, N = 3SE +/- 3249.94, N = 12228640187169217355

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigt2d-standard-60 AMD Milanc6g.16xlarge90180270360450SE +/- 1.20, N = 3SE +/- 2.41, N = 3333.35409.10

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge20M40M60M80M100MSE +/- 1450871.09, N = 3SE +/- 1618403.29, N = 14SE +/- 1645401.81, N = 1510589445711295878881807706-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi21. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan100200300400500SE +/- 27.08, N = 3SE +/- 35.57, N = 3447.68433.96MAX: 95136.87MAX: 103381.73

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan7M14M21M28M35MSE +/- 66565.66, N = 3SE +/- 130588.20, N = 33433223734123810

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan7M14M21M28M35MSE +/- 188621.29, N = 3SE +/- 221111.93, N = 33476256534925899

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan140280420560700SE +/- 3.18, N = 3SE +/- 12.58, N = 3623.89633.58MAX: 41831.2MAX: 54749.7

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge60120180240300SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3198.39191.71286.20

OpenRadioss

Model: Rubber O-Ring Seal Installation

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan20406080100SE +/- 4.01, N = 12SE +/- 0.22, N = 389.6572.06

OpenRadioss

Model: Cell Phone Drop Test

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan918273645SE +/- 1.27, N = 15SE +/- 0.39, N = 1538.8230.12

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.36VGR Performance Metricc3d-standard-60 AMD Genoat2d-standard-60 AMD Milan130K260K390K520K650K5108196293631. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To Compilec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge50100150200250SE +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.03, N = 3176.77170.93224.41

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge60000M120000M180000M240000M300000MSE +/- 71241287.97, N = 3SE +/- 178290221.71, N = 3SE +/- 2100313.05, N = 3293328048497216025967640129198197600-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge70000M140000M210000M280000M350000MSE +/- 342949201.09, N = 3SE +/- 376720190.05, N = 3SE +/- 5537993.15, N = 3343095284440234604082610158788510970-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge40000M80000M120000M160000M200000MSE +/- 12326205.97, N = 3SE +/- 47698640.87, N = 3SE +/- 372419.81, N = 317398094989318024914577067324778360-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge30000M60000M90000M120000M150000MSE +/- 3664727.47, N = 3SE +/- 198663058.81, N = 3SE +/- 2259404.37, N = 312390930477311964772033746715126487-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge5000M10000M15000M20000M25000MSE +/- 4399663.13, N = 3SE +/- 108274834.92, N = 3SE +/- 6214593.12, N = 3147022705732224480418314384917863-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge11000M22000M33000M44000M55000MSE +/- 9562123.40, N = 3SE +/- 20491615.60, N = 3SE +/- 192235444.29, N = 3462118213135088499710342288513973-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge15003000450060007500SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 27.09, N = 155.869.906990.10-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6842.82 / MAX: 7088.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge400800120016002000SE +/- 3.16, N = 3SE +/- 1.12, N = 3SE +/- 0.00, N = 152043.051512.570.14-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan90180270360450SE +/- 2.14, N = 3SE +/- 4.08, N = 3418.59415.08MAX: 31920.67MAX: 28810.4

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan7M14M21M28M35MSE +/- 154587.14, N = 3SE +/- 303573.79, N = 33326815833466804

PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyt2d-standard-60 AMD Milanc6g.16xlarge0.17260.34520.51780.69040.863SE +/- 0.004, N = 3SE +/- 0.009, N = 30.3990.7671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1632486480SE +/- 0.07, N = 3SE +/- 0.03, N = 369.6820.90

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencyt2d-standard-60 AMD Milanc6g.16xlarge0.23090.46180.69270.92361.1545SE +/- 0.006, N = 3SE +/- 0.013, N = 30.4981.0261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2004006008001000SE +/- 0.13, N = 3SE +/- 9.17, N = 15SE +/- 0.37, N = 383.99208.47947.59-pie - MIN: 119.65 / MAX: 316.01-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.23, N = 3SE +/- 3.12, N = 15SE +/- 0.00, N = 3142.7573.741.06-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2004006008001000SE +/- 0.29, N = 3SE +/- 7.79, N = 15SE +/- 0.55, N = 383.91193.45947.86-pie - MIN: 113.44 / MAX: 315.54-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.48, N = 3SE +/- 2.74, N = 15SE +/- 0.00, N = 3142.9078.961.06-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge60120180240300SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.34, N = 378.0778.35270.071. (CXX) g++ options: -O3 -fPIC -lm

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlyt2d-standard-60 AMD Milan306090120150SE +/- 0.03, N = 3112.64

PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Onlyt2d-standard-60 AMD Milanc6g.16xlarge400K800K1200K1600K2000KSE +/- 20558.90, N = 3SE +/- 12058.27, N = 3200378410432671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyt2d-standard-60 AMD Milanc6g.16xlarge400K800K1200K1600K2000KSE +/- 22497.42, N = 3SE +/- 12606.16, N = 320081869750311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Laghos

Test: Sedov Blast Wave, ube_922_hex.mesh

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge80160240320400SE +/- 0.31, N = 3SE +/- 0.62, N = 3SE +/- 0.79, N = 3259.55364.64321.291. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge40K80K120K160K200KSE +/- 688.79, N = 3SE +/- 156.32, N = 3SE +/- 132.24, N = 3180537.84155609.04158700.361. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge40K80K120K160K200KSE +/- 126.15, N = 3SE +/- 394.72, N = 3SE +/- 249.05, N = 3187350.44162957.75162553.851. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlyt2d-standard-60 AMD Milan20406080100SE +/- 0.07, N = 389.35

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.Dc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge5001000150020002500SE +/- 36.45, N = 15SE +/- 142.62, N = 12SE +/- 0.58, N = 32422.401752.62915.801. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4080120160200SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 341.5441.99167.951. (CXX) g++ options: -O3 -fPIC -lm

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge20K40K60K80K100KSE +/- 293.57, N = 3SE +/- 1463.52, N = 15SE +/- 7.52, N = 373563.1394247.7718807.751. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge5K10K15K20K25KSE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 15.60, N = 3340.29568.7722391.86-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 22364.17 / MAX: 22423.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 335.1926.280.04-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1428425670SE +/- 0.10, N = 3SE +/- 0.06, N = 362.7420.36

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge9K18K27K36K45KSE +/- 45.01, N = 3SE +/- 555.92, N = 3SE +/- 0.76, N = 339919.7143228.119716.991. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2K4K6K8K10KSE +/- 0.17, N = 3SE +/- 1.32, N = 3SE +/- 1.02, N = 3648.811393.569996.56-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 9993.58 / MAX: 10001.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 318.3910.730.10-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge15003000450060007500SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 76.95, N = 318.5626.506773.31-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6616.83 / MAX: 6859.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge140280420560700SE +/- 0.79, N = 3SE +/- 0.37, N = 3SE +/- 0.00, N = 3645.74565.340.15-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge5001000150020002500SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 27.29, N = 34.533.522186.81-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 2135.06 / MAX: 2233.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge14002800420056007000SE +/- 6.52, N = 3SE +/- 2.08, N = 3SE +/- 0.01, N = 36605.124239.520.46-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge160320480640800SE +/- 0.09, N = 3SE +/- 0.58, N = 3SE +/- 0.26, N = 364.70155.14735.58-pie - MIN: 114.75 / MAX: 224.64-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.231. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4080120160200SE +/- 0.25, N = 3SE +/- 0.37, N = 3SE +/- 0.00, N = 3185.2996.581.36-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 36.7923.64135.87-pie - MIN: 9.57 / MAX: 42.22-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge400800120016002000SE +/- 4.38, N = 3SE +/- 3.66, N = 3SE +/- 0.01, N = 31764.21633.767.36-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge80160240320400SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 320.7766.46382.47-pie - MIN: 25.85 / MAX: 122.2-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge120240360480600SE +/- 1.04, N = 3SE +/- 0.93, N = 3SE +/- 0.00, N = 3576.94225.482.61-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge90180270360450SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.26, N = 339.3876.72423.95-pie - MIN: 58.8 / MAX: 121.69-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 411.17 / MAX: 440.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge160320480640800SE +/- 1.75, N = 3SE +/- 1.37, N = 3SE +/- 0.00, N = 3761.14390.722.36-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge90180270360450SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 2.18, N = 331.0881.00394.94-pie - MIN: 64.65 / MAX: 134.64-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge2004006008001000SE +/- 0.60, N = 3SE +/- 0.96, N = 3SE +/- 0.02, N = 3964.46370.032.53-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 38.6240.67153.12-pie - MIN: 12.07 / MAX: 59.44-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge30060090012001500SE +/- 6.33, N = 3SE +/- 1.55, N = 3SE +/- 0.01, N = 31389.69368.396.53-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4080120160200SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.24, N = 38.2011.32181.94-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 180.71 / MAX: 184.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge8001600240032004000SE +/- 3.28, N = 3SE +/- 3.26, N = 3SE +/- 0.01, N = 33650.572646.585.50-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 315.9814.76119.17-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 118.73 / MAX: 120.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge400800120016002000SE +/- 0.47, N = 3SE +/- 0.56, N = 3SE +/- 0.01, N = 31875.281014.708.39-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1122334455SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 32.8711.6548.08-pie - MIN: 3.76 / MAX: 29.1-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge9001800270036004500SE +/- 8.74, N = 3SE +/- 15.96, N = 3SE +/- 0.01, N = 34166.391285.4720.79-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 30.400.617.33-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6.54 / MAX: 9.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge12K24K36K48K60KSE +/- 45.46, N = 3SE +/- 332.93, N = 3SE +/- 0.48, N = 354971.2644049.15136.16-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1.25552.5113.76655.0226.2775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.520.995.58-pie - MIN: 0.8 / MAX: 13.76-isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 5.45 / MAX: 6.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge9K18K27K36K45KSE +/- 18.42, N = 3SE +/- 14.46, N = 3SE +/- 0.39, N = 343607.0429668.12178.82-pie-pie1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge200K400K600K800K1000KSE +/- 50.91, N = 3SE +/- 644.45, N = 3SE +/- 6.55, N = 3493077.6860844.6215683.2-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4K8K12K16K20KSE +/- 14.62, N = 3SE +/- 11.58, N = 3SE +/- 0.09, N = 320079.512973.02640.0-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1428425670SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 364.8650.9762.301. (CXX) g++ options: -O2 -lOpenCL

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge30K60K90K120K150KSE +/- 122.23, N = 3SE +/- 42.77, N = 3SE +/- 7.69, N = 396257.48122720.6124229.141. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Laghos

Test: Triple Point Problem

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge50100150200250SE +/- 0.22, N = 3SE +/- 1.77, N = 3SE +/- 0.50, N = 3209.00222.30179.521. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_barec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1.192.383.574.765.95SE +/- 0.011, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 34.3915.2892.7661. (CXX) g++ options: -O3

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigt2d-standard-60 AMD Milanc6g.16xlarge20406080100SE +/- 0.37, N = 5SE +/- 0.82, N = 333.40102.22

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Directionc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge714212835SE +/- 0.25, N = 3SE +/- 0.31, N = 12SE +/- 0.01, N = 328.0224.5725.871. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge11002200330044005500SE +/- 30.67, N = 3SE +/- 51.21, N = 5SE +/- 7.28, N = 33783.604935.682213.761. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50c3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1224364860SE +/- 0.04, N = 3SE +/- 0.05, N = 350.9918.29

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlyt2d-standard-60 AMD Milan1020304050SE +/- 0.13, N = 345.22

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlyt2d-standard-60 AMD Milan816243240SE +/- 0.06, N = 334.27

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge200M400M600M800M1000MSE +/- 2060519.90, N = 3SE +/- 1088162.98, N = 3SE +/- 176147.98, N = 396288983392042776710328936671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocytec3d-standard-60 AMD Genoat2d-standard-60 AMD Milan1020304050SE +/- 0.17, N = 3SE +/- 0.02, N = 345.5042.011. (CXX) g++ options: -O2 -lOpenCL

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge50K100K150K200K250KSE +/- 519.21, N = 3SE +/- 347.74, N = 3SE +/- 57.33, N = 32262112472552340461. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge60K120K180K240K300KSE +/- 346.51, N = 3SE +/- 388.74, N = 3SE +/- 359.95, N = 32717952789732397351. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge12K24K36K48K60KSE +/- 600.19, N = 15SE +/- 137.77, N = 3SE +/- 2.85, N = 339647.4754846.1821386.371. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4K8K12K16K20KSE +/- 77.92, N = 3SE +/- 1215.82, N = 15SE +/- 23.52, N = 319597.8616649.3713343.351. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Remhos

Test: Sample Remap Example

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Examplec3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge816243240SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 333.3616.3320.821. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

libxsmm

M N K: 32

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge70140210280350SE +/- 0.19, N = 3SE +/- 3.60, N = 4SE +/- 0.47, N = 3255.4289.2312.7-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden

libxsmm

M N K: 64

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge130260390520650SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.96, N = 3489.7554.2589.5-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Secondc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge400K800K1200K1600K2000KSE +/- 1295.68, N = 3SE +/- 9191.61, N = 3SE +/- 635.29, N = 31445843.521730658.451259870.721. (CC) gcc options: -O2 -lrt" -lrt

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamclusterc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge48121620SE +/- 0.104, N = 15SE +/- 0.009, N = 3SE +/- 0.017, N = 36.4486.42314.2121. (CXX) g++ options: -O2 -lOpenCL

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge246810SE +/- 0.099, N = 3SE +/- 0.031, N = 3SE +/- 0.032, N = 36.8897.6398.8791. (CXX) g++ options: -O3 -fPIC -lm

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge3691215SE +/- 0.013, N = 3SE +/- 0.034, N = 3SE +/- 0.001, N = 310.0257.3685.9831. (CXX) g++ options: -O2 -lOpenCL

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Directionc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1.32112.64223.96335.28446.6055SE +/- 0.04970425, N = 3SE +/- 0.02210564, N = 3SE +/- 0.01888616, N = 35.871578855.630573275.618116861. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge10K20K30K40K50KSE +/- 29.69, N = 3SE +/- 145.06, N = 3SE +/- 10.99, N = 342701.8347291.9625661.041. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

libavif avifenc

Encoder Speed: 6

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1.00512.01023.01534.02045.0255SE +/- 0.007, N = 3SE +/- 0.013, N = 3SE +/- 0.014, N = 33.2503.2054.4671. (CXX) g++ options: -O3 -fPIC -lm

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Proteinc3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge714212835SE +/- 0.54, N = 12SE +/- 0.17, N = 3SE +/- 0.04, N = 317.4227.8326.04-lm-lm1. (CXX) g++ options: -O3 -ldl

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge1326395265SE +/- 1.29, N = 15SE +/- 0.66, N = 3SE +/- 0.10, N = 357.3160.0332.361. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge20406080100SE +/- 1.78, N = 12SE +/- 0.91, N = 3SE +/- 0.71, N = 393.60106.0379.021. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge4080120160200SE +/- 2.19, N = 12SE +/- 0.82, N = 3SE +/- 0.57, N = 3148.58196.95202.451. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128c3d-standard-60 AMD Genoat2d-standard-60 AMD Milanc6g.16xlarge306090120150SE +/- 0.52, N = 3SE +/- 0.78, N = 3SE +/- 0.11, N = 388.63109.68129.171. (CXX) g++ options: -O3

Phoronix Test Suite v10.8.5