amazon testing on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2310065-NE-2310055NE35 GCE c3d-standard-60 - Phoronix Test Suite GCE c3d-standard-60 amazon testing on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310065-NE-2310055NE35&export=txt&sor .
GCE c3d-standard-60 Processor Motherboard Chipset Memory Disk Network OS Kernel Vulkan Compiler File-System System Layer c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge AMD EPYC 9B14 (30 Cores / 60 Threads) Google Compute Engine c3d-standard-60 Intel 440FX 82441FX PMC 240GB 215GB nvme_card-pd Google Compute Engine Virtual Ubuntu 22.04 6.2.0-1014-gcp (x86_64) 1.3.238 GCC 11.4.0 ext4 KVM AMD EPYC 7B13 (60 Cores) Google Compute Engine t2d-standard-60 215GB PersistentDisk Red Hat Virtio device ARMv8 Neoverse-N1 (64 Cores) Amazon EC2 c6g.16xlarge (1.0 BIOS) Amazon Device 0200 128GB 215GB Amazon Elastic Block Store Amazon Elastic 5.19.0-1025-aws (aarch64) amazon AMD EPYC 9R14 (64 Cores) Amazon EC2 m7a.16xlarge (1.0 BIOS) Intel 440FX 82441FX PMC 256GB 5.19.0-1025-aws (x86_64) OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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 - m7a.16xlarge: --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 Processor Details - c3d-standard-60 AMD Genoa: CPU Microcode: 0xffffffff - t2d-standard-60 AMD Milan: CPU Microcode: 0xffffffff - m7a.16xlarge: CPU Microcode: 0xa10113e Java Details - OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04) Python Details - Python 3.10.12 Security 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 - m7a.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 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
GCE c3d-standard-60 npb: BT.C npb: CG.C npb: EP.D npb: FT.C npb: IS.D npb: LU.C npb: MG.C npb: SP.C rodinia: OpenMP LavaMD rodinia: OpenMP HotSpot3D rodinia: OpenMP Leukocyte rodinia: OpenMP CFD Solver rodinia: OpenMP Streamcluster amg: libxsmm: 32 libxsmm: 64 laghos: Triple Point Problem laghos: Sedov Blast Wave, ube_922_hex.mesh heffte: c2c - FFTW - float - 128 heffte: r2c - FFTW - float - 128 heffte: c2c - FFTW - double - 128 heffte: r2c - FFTW - double - 128 incompact3d: input.i3d 129 Cells Per Direction incompact3d: input.i3d 193 Cells Per Direction openradioss: Bumper Beam openradioss: Chrysler Neon 1M openradioss: Cell Phone Drop Test openradioss: Bird Strike on Windshield openradioss: Rubber O-Ring Seal Installation remhos: Sample Remap Example nekrs: Kershaw nekrs: TurboPipe Periodic lammps: 20k Atoms lammps: Rhodopsin Protein coremark: CoreMark Size 666 - Iterations Per Second compress-7zip: Compression Rating compress-7zip: Decompression Rating stockfish: Total Time avifenc: 0 avifenc: 2 avifenc: 6 avifenc: 6, Lossless build-gem5: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-nodejs: Time To Compile openssl: SHA256 openssl: SHA512 openssl: RSA4096 openssl: RSA4096 openssl: ChaCha20 openssl: AES-128-GCM openssl: AES-256-GCM openssl: ChaCha20-Poly1305 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 800 - 400 gromacs: MPI CPU - water_GMX50_bare pgbench: 100 - 800 - Read Only pgbench: 100 - 1000 - Read Only pgbench: 100 - 800 - Read Write pgbench: 100 - 1000 - Read Write tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 64 - ResNet-50 blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU cassandra: Writes nginx: 500 nginx: 1000 brl-cad: VGR Performance Metric pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 800 - Read Write - Average Latency pgbench: 100 - 1000 - Read Write - Average Latency c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge m7a.16xlarge 96257.48 19597.86 3783.60 39647.47 2422.40 73563.13 42701.83 39919.71 64.862 84.166 45.498 10.025 6.448 962889833 255.4 489.7 209.00 259.55 88.6301 148.575 57.3116 93.6005 5.87157885 28.0196877 92.87 337.70 38.82 147.31 89.65 33.362 4289858333 4723940000 19.776 17.423 1445843.521552 271795 226211 105894457 78.068 41.538 3.250 6.889 176.767 198.394 46211821313 14702270573 20079.5 493077.6 173980949893 343095284440 293328048497 123909304773 33268158 418.59 34762565 623.89 34332237 447.68 35359884 682.12 4.391 50.99 62.74 69.68 18.39 648.81 142.75 83.99 142.90 83.91 1389.69 8.62 35.19 340.29 4166.39 2.87 576.94 20.77 2043.05 5.86 1875.28 15.98 6605.12 4.53 645.74 18.56 185.29 64.70 3650.57 8.20 1764.21 6.79 964.46 31.08 43607.04 0.52 761.14 39.38 54971.26 0.4 228640 187350.44 180537.84 510819 122720.61 16649.37 4935.68 54846.18 1752.62 94247.77 47291.96 43228.11 50.974 88.535 42.010 7.368 6.423 920427767 289.2 554.2 222.30 364.64 109.676 196.948 60.0343 106.029 5.63057327 24.5721181 75.68 327.88 30.12 123.61 72.06 16.326 3681935833 2730620000 26.734 27.828 1730658.449440 278973 247255 112958788 78.350 41.989 3.205 7.639 170.930 33.399 333.351 191.706 50884997103 22244804183 12973.0 860844.6 180249145770 234604082610 216025967640 119647720337 33466804 415.08 34925899 633.58 34123810 433.96 35068557 709.46 5.289 2003784 2008186 5682 5793 18.29 20.36 20.90 34.27 89.35 45.22 351.58 112.64 10.73 1393.56 73.74 208.47 78.96 193.45 368.39 40.67 26.28 568.77 1285.47 11.65 225.48 66.46 1512.57 9.90 1014.70 14.76 4239.52 3.52 565.34 26.50 96.58 155.14 2646.58 11.32 633.76 23.64 370.03 81.00 29668.12 0.99 390.72 76.72 44049.15 0.61 187169 162957.75 155609.04 629363 0.399 0.498 140.916 172.717 24229.14 13343.35 2213.76 21386.37 915.80 18807.75 25661.04 9716.99 62.301 5.983 14.212 1032893667 312.7 589.5 179.52 321.29 129.172 202.445 32.3575 79.0156 5.61811686 25.8748328 20.816 1758860000 2221710000 25.059 26.041 1259870.716902 239735 234046 81807706 270.068 167.946 4.467 8.879 224.414 102.216 409.097 286.201 42288513973 14384917863 2640.0 215683.2 67324778360 158788510970 129198197600 46715126487 2.766 1043267 975031 4784 4776 0.1 9996.56 1.06 947.59 1.06 947.86 6.53 153.12 0.04 22391.86 20.79 48.08 2.61 382.47 0.14 6990.10 8.39 119.17 0.46 2186.81 0.15 6773.31 1.36 735.58 5.50 181.94 7.36 135.87 2.53 394.94 178.82 5.58 2.36 423.95 136.16 7.33 217355 162553.85 158700.36 0.767 1.026 168.191 210.608 193219.12 42007.57 7501.76 103413.02 4085.20 210544.87 121293.80 102392.40 43.286 74.778 34.661 6.480 5.930 1843444333 643.4 1201.8 218.86 409.73 121.505 190.602 71.1095 124.363 2.89602661 11.5913086 66.27 190.79 26.14 115.96 59.18 13.867 7667846667 4774796667 31.471 32.785 2158639.274883 330633 282593 135419169 65.447 35.805 2.649 5.678 153.800 27.709 267.965 154.441 62253861197 26481506820 31583.8 996017.5 308308045083 592545362740 522113080527 216773475533 40899210 340.11 44502333 521.98 42643903 355.13 44699315 598.49 7.655 2923009 2880940 5312 5300 69.55 87.19 100.15 27.74 71.51 37.12 276.23 91.88 31.72 503.38 284.42 56.21 283.40 56.41 2417.34 6.60 61.19 261.11 7222.10 2.21 1049.66 15.22 3666.89 4.35 3132.48 10.19 10382.22 3.07 1222.99 13.07 315.14 50.72 6177.94 5.16 3146.04 5.07 1419.11 22.53 81996.81 0.38 1158.43 27.60 92100.80 0.27 278585 233014.72 224859.09 788704 0.274 0.347 150.601 188.676 OpenBenchmarking.org
NAS Parallel Benchmarks Test / Class: BT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 40K 80K 120K 160K 200K SE +/- 560.75, N = 3 SE +/- 42.77, N = 3 SE +/- 122.23, N = 3 SE +/- 7.69, N = 3 193219.12 122720.61 96257.48 24229.14 1. (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.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 9K 18K 27K 36K 45K SE +/- 178.46, N = 3 SE +/- 77.92, N = 3 SE +/- 1215.82, N = 15 SE +/- 23.52, N = 3 42007.57 19597.86 16649.37 13343.35 1. (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: EP.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 1600 3200 4800 6400 8000 SE +/- 8.54, N = 3 SE +/- 51.21, N = 5 SE +/- 30.67, N = 3 SE +/- 7.28, N = 3 7501.76 4935.68 3783.60 2213.76 1. (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: FT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 446.85, N = 3 SE +/- 137.77, N = 3 SE +/- 600.19, N = 15 SE +/- 2.85, N = 3 103413.02 54846.18 39647.47 21386.37 1. (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: IS.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 900 1800 2700 3600 4500 SE +/- 3.14, N = 3 SE +/- 36.45, N = 15 SE +/- 142.62, N = 12 SE +/- 0.58, N = 3 4085.20 2422.40 1752.62 915.80 1. (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: LU.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 50K 100K 150K 200K 250K SE +/- 661.61, N = 3 SE +/- 1463.52, N = 15 SE +/- 293.57, N = 3 SE +/- 7.52, N = 3 210544.87 94247.77 73563.13 18807.75 1. (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: MG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 30K 60K 90K 120K 150K SE +/- 526.14, N = 3 SE +/- 145.06, N = 3 SE +/- 29.69, N = 3 SE +/- 10.99, N = 3 121293.80 47291.96 42701.83 25661.04 1. (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: SP.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 91.17, N = 3 SE +/- 555.92, N = 3 SE +/- 45.01, N = 3 SE +/- 0.76, N = 3 102392.40 43228.11 39919.71 9716.99 1. (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
Rodinia Test: OpenMP LavaMD OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa 14 28 42 56 70 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 43.29 50.97 62.30 64.86 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP HotSpot3D OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.74, N = 15 SE +/- 0.86, N = 15 SE +/- 1.83, N = 12 74.78 84.17 88.54 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP Leukocyte OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 10 20 30 40 50 SE +/- 0.32, N = 3 SE +/- 0.02, N = 3 SE +/- 0.17, N = 3 34.66 42.01 45.50 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP CFD Solver OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver c6g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 3 6 9 12 15 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.034, N = 3 SE +/- 0.013, N = 3 5.983 6.480 7.368 10.025 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP Streamcluster OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 4 8 12 16 20 SE +/- 0.049, N = 3 SE +/- 0.009, N = 3 SE +/- 0.104, N = 15 SE +/- 0.017, N = 3 5.930 6.423 6.448 14.212 1. (CXX) g++ options: -O2 -lOpenCL
Algebraic Multi-Grid Benchmark OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 m7a.16xlarge c6g.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 400M 800M 1200M 1600M 2000M SE +/- 1428129.35, N = 3 SE +/- 176147.98, N = 3 SE +/- 2060519.90, N = 3 SE +/- 1088162.98, N = 3 1843444333 1032893667 962889833 920427767 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
libxsmm M N K: 32 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 m7a.16xlarge c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 140 280 420 560 700 SE +/- 0.40, N = 3 SE +/- 0.47, N = 3 SE +/- 3.60, N = 4 SE +/- 0.19, N = 3 643.4 312.7 289.2 255.4 -lquadmath -msse4.2 -march=armv8.1-a -lquadmath -msse4.2 -lquadmath -msse4.2 1. (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.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 m7a.16xlarge c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 300 600 900 1200 1500 SE +/- 0.52, N = 3 SE +/- 0.96, N = 3 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 1201.8 589.5 554.2 489.7 -lquadmath -msse4.2 -march=armv8.1-a -lquadmath -msse4.2 -lquadmath -msse4.2 1. (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
Laghos Test: Triple Point Problem OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Triple Point Problem t2d-standard-60 AMD Milan m7a.16xlarge c3d-standard-60 AMD Genoa c6g.16xlarge 50 100 150 200 250 SE +/- 1.77, N = 3 SE +/- 1.67, N = 3 SE +/- 0.22, N = 3 SE +/- 0.50, N = 3 222.30 218.86 209.00 179.52 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
Laghos Test: Sedov Blast Wave, ube_922_hex.mesh OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa 90 180 270 360 450 SE +/- 1.29, N = 3 SE +/- 0.62, N = 3 SE +/- 0.79, N = 3 SE +/- 0.31, N = 3 409.73 364.64 321.29 259.55 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 c6g.16xlarge m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 1.44, N = 15 SE +/- 0.78, N = 3 SE +/- 0.52, N = 3 129.17 121.51 109.68 88.63 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 c6g.16xlarge t2d-standard-60 AMD Milan m7a.16xlarge c3d-standard-60 AMD Genoa 40 80 120 160 200 SE +/- 0.57, N = 3 SE +/- 0.82, N = 3 SE +/- 2.16, N = 15 SE +/- 2.19, N = 12 202.45 196.95 190.60 148.58 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 16 32 48 64 80 SE +/- 0.63, N = 15 SE +/- 0.66, N = 3 SE +/- 1.29, N = 15 SE +/- 0.10, N = 3 71.11 60.03 57.31 32.36 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 30 60 90 120 150 SE +/- 1.18, N = 15 SE +/- 0.91, N = 3 SE +/- 1.78, N = 12 SE +/- 0.71, N = 3 124.36 106.03 93.60 79.02 1. (CXX) g++ options: -O3
Xcompact3d Incompact3d Input: input.i3d 129 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction m7a.16xlarge c6g.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 1.3211 2.6422 3.9633 5.2844 6.6055 SE +/- 0.03993251, N = 3 SE +/- 0.01888616, N = 3 SE +/- 0.02210564, N = 3 SE +/- 0.04970425, N = 3 2.89602661 5.61811686 5.63057327 5.87157885 1. (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
Xcompact3d Incompact3d Input: input.i3d 193 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.31, N = 12 SE +/- 0.01, N = 3 SE +/- 0.25, N = 3 11.59 24.57 25.87 28.02 1. (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
OpenRadioss Model: Bumper Beam OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bumper Beam m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 1.56, N = 15 66.27 75.68 92.87
OpenRadioss Model: Chrysler Neon 1M OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 70 140 210 280 350 SE +/- 0.61, N = 3 SE +/- 1.48, N = 3 SE +/- 2.03, N = 3 190.79 327.88 337.70
OpenRadioss Model: Cell Phone Drop Test OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.39, N = 15 SE +/- 1.27, N = 15 26.14 30.12 38.82
OpenRadioss Model: Bird Strike on Windshield OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 30 60 90 120 150 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 SE +/- 3.26, N = 9 115.96 123.61 147.31
OpenRadioss Model: Rubber O-Ring Seal Installation OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 20 40 60 80 100 SE +/- 0.73, N = 3 SE +/- 0.22, N = 3 SE +/- 4.01, N = 12 59.18 72.06 89.65
Remhos Test: Sample Remap Example OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 13.87 16.33 20.82 33.36 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
nekRS Input: Kershaw OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: Kershaw m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1600M 3200M 4800M 6400M 8000M SE +/- 49077561.86, N = 3 SE +/- 57202190.49, N = 12 SE +/- 84802173.02, N = 12 SE +/- 2970005.61, N = 3 7667846667 4289858333 3681935833 1758860000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
nekRS Input: TurboPipe Periodic OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: TurboPipe Periodic m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1000M 2000M 3000M 4000M 5000M SE +/- 6657808.28, N = 3 SE +/- 201939132.13, N = 12 SE +/- 481352.26, N = 3 SE +/- 1790009.31, N = 3 4774796667 4723940000 2730620000 2221710000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 31.47 26.73 25.06 19.78 -lm -lm -lm 1. (CXX) g++ options: -O3 -ldl
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.54, N = 12 32.79 27.83 26.04 17.42 -lm -lm -lm 1. (CXX) g++ options: -O3 -ldl
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 500K 1000K 1500K 2000K 2500K SE +/- 1437.63, N = 3 SE +/- 9191.61, N = 3 SE +/- 1295.68, N = 3 SE +/- 635.29, N = 3 2158639.27 1730658.45 1445843.52 1259870.72 1. (CC) gcc options: -O2 -lrt" -lrt
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 70K 140K 210K 280K 350K SE +/- 400.99, N = 3 SE +/- 388.74, N = 3 SE +/- 346.51, N = 3 SE +/- 359.95, N = 3 330633 278973 271795 239735 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge c3d-standard-60 AMD Genoa 60K 120K 180K 240K 300K SE +/- 342.37, N = 3 SE +/- 347.74, N = 3 SE +/- 57.33, N = 3 SE +/- 519.21, N = 3 282593 247255 234046 226211 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 15 Total Time m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 30M 60M 90M 120M 150M SE +/- 1001447.21, N = 3 SE +/- 1618403.29, N = 14 SE +/- 1450871.09, N = 3 SE +/- 1645401.81, N = 15 135419169 112958788 105894457 81807706 -m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -m64 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 1. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver
libavif avifenc Encoder Speed: 0 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 0 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 60 120 180 240 300 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.34, N = 3 65.45 78.07 78.35 270.07 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 2 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40 80 120 160 200 SE +/- 0.22, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 35.81 41.54 41.99 167.95 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 6 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 1.0051 2.0102 3.0153 4.0204 5.0255 SE +/- 0.015, N = 3 SE +/- 0.013, N = 3 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 2.649 3.205 3.250 4.467 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 6, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 1.0 Encoder Speed: 6, Lossless m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 2 4 6 8 10 SE +/- 0.008, N = 3 SE +/- 0.099, N = 3 SE +/- 0.031, N = 3 SE +/- 0.032, N = 3 5.678 6.889 7.639 8.879 1. (CXX) g++ options: -O3 -fPIC -lm
Timed Gem5 Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 21.2 Time To Compile m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 50 100 150 200 250 SE +/- 0.39, N = 3 SE +/- 0.27, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 153.80 170.93 176.77 224.41
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 20 40 60 80 100 SE +/- 0.29, N = 5 SE +/- 0.37, N = 5 SE +/- 0.82, N = 3 27.71 33.40 102.22
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 90 180 270 360 450 SE +/- 0.37, N = 3 SE +/- 1.20, N = 3 SE +/- 2.41, N = 3 267.97 333.35 409.10
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.29, N = 3 SE +/- 0.11, N = 3 154.44 191.71 198.39 286.20
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 13000M 26000M 39000M 52000M 65000M SE +/- 161718701.08, N = 3 SE +/- 20491615.60, N = 3 SE +/- 9562123.40, N = 3 SE +/- 192235444.29, N = 3 62253861197 50884997103 46211821313 42288513973 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 6000M 12000M 18000M 24000M 30000M SE +/- 29763937.73, N = 3 SE +/- 108274834.92, N = 3 SE +/- 4399663.13, N = 3 SE +/- 6214593.12, N = 3 26481506820 22244804183 14702270573 14384917863 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 7K 14K 21K 28K 35K SE +/- 24.57, N = 3 SE +/- 14.62, N = 3 SE +/- 11.58, N = 3 SE +/- 0.09, N = 3 31583.8 20079.5 12973.0 2640.0 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 200K 400K 600K 800K 1000K SE +/- 367.82, N = 3 SE +/- 644.45, N = 3 SE +/- 50.91, N = 3 SE +/- 6.55, N = 3 996017.5 860844.6 493077.6 215683.2 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: ChaCha20 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 70000M 140000M 210000M 280000M 350000M SE +/- 280681661.27, N = 3 SE +/- 47698640.87, N = 3 SE +/- 12326205.97, N = 3 SE +/- 372419.81, N = 3 308308045083 180249145770 173980949893 67324778360 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: AES-128-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 130000M 260000M 390000M 520000M 650000M SE +/- 1818538727.73, N = 3 SE +/- 342949201.09, N = 3 SE +/- 376720190.05, N = 3 SE +/- 5537993.15, N = 3 592545362740 343095284440 234604082610 158788510970 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 110000M 220000M 330000M 440000M 550000M SE +/- 1691817104.57, N = 3 SE +/- 71241287.97, N = 3 SE +/- 178290221.71, N = 3 SE +/- 2100313.05, N = 3 522113080527 293328048497 216025967640 129198197600 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: ChaCha20-Poly1305 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 50000M 100000M 150000M 200000M 250000M SE +/- 85099636.22, N = 3 SE +/- 3664727.47, N = 3 SE +/- 198663058.81, N = 3 SE +/- 2259404.37, N = 3 216773475533 123909304773 119647720337 46715126487 -m64 -m64 -m64 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 9M 18M 27M 36M 45M SE +/- 457186.43, N = 3 SE +/- 303573.79, N = 3 SE +/- 154587.14, N = 3 40899210 33466804 33268158
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 90 180 270 360 450 SE +/- 4.92, N = 3 SE +/- 4.08, N = 3 SE +/- 2.14, N = 3 340.11 415.08 418.59 MAX: 37899.66 MAX: 28810.4 MAX: 31920.67
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 10M 20M 30M 40M 50M SE +/- 224779.59, N = 3 SE +/- 221111.93, N = 3 SE +/- 188621.29, N = 3 44502333 34925899 34762565
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 140 280 420 560 700 SE +/- 0.65, N = 3 SE +/- 3.18, N = 3 SE +/- 12.58, N = 3 521.98 623.89 633.58 MAX: 34235.44 MAX: 41831.2 MAX: 54749.7
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 9M 18M 27M 36M 45M SE +/- 111073.27, N = 3 SE +/- 66565.66, N = 3 SE +/- 130588.20, N = 3 42643903 34332237 34123810
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 100 200 300 400 500 SE +/- 7.15, N = 3 SE +/- 35.57, N = 3 SE +/- 27.08, N = 3 355.13 433.96 447.68 MAX: 67149.77 MAX: 103381.73 MAX: 95136.87
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 10M 20M 30M 40M 50M SE +/- 99649.31, N = 3 SE +/- 267152.12, N = 3 SE +/- 354923.23, N = 3 44699315 35359884 35068557
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 150 300 450 600 750 SE +/- 4.86, N = 3 SE +/- 7.53, N = 3 SE +/- 25.87, N = 3 598.49 682.12 709.46 MAX: 62432.53 MAX: 98294.84 MAX: 113264.06
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 2 4 6 8 10 SE +/- 0.035, N = 3 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 SE +/- 0.001, N = 3 7.655 5.289 4.391 2.766 1. (CXX) g++ options: -O3
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 600K 1200K 1800K 2400K 3000K SE +/- 13309.30, N = 3 SE +/- 20558.90, N = 3 SE +/- 12058.27, N = 3 2923009 2003784 1043267 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 600K 1200K 1800K 2400K 3000K SE +/- 2874.04, N = 3 SE +/- 22497.42, N = 3 SE +/- 12606.16, N = 3 2880940 2008186 975031 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write t2d-standard-60 AMD Milan m7a.16xlarge c6g.16xlarge 1200 2400 3600 4800 6000 SE +/- 49.28, N = 12 SE +/- 13.63, N = 3 SE +/- 109.40, N = 12 5682 5312 4784 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write t2d-standard-60 AMD Milan m7a.16xlarge c6g.16xlarge 1200 2400 3600 4800 6000 SE +/- 49.93, N = 8 SE +/- 16.57, N = 3 SE +/- 124.50, N = 9 5793 5300 4776 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 15 30 45 60 75 SE +/- 0.20, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 69.55 50.99 18.29
TensorFlow Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 87.19 62.74 20.36
TensorFlow Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 100.15 69.68 20.90
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 27.74 34.27
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 71.51 89.35
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan 10 20 30 40 50 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 37.12 45.22
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan 80 160 240 320 400 SE +/- 0.49, N = 3 SE +/- 0.60, N = 3 276.23 351.58
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only m7a.16xlarge t2d-standard-60 AMD Milan 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 91.88 112.64
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 31.72 18.39 10.73 0.10 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 2K 4K 6K 8K 10K SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 1.32, N = 3 SE +/- 1.02, N = 3 503.38 648.81 1393.56 9996.56 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 9993.58 / MAX: 10001.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 60 120 180 240 300 SE +/- 0.53, N = 3 SE +/- 0.23, N = 3 SE +/- 3.12, N = 15 SE +/- 0.00, N = 3 284.42 142.75 73.74 1.06 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200 400 600 800 1000 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 9.17, N = 15 SE +/- 0.37, N = 3 56.21 83.99 208.47 947.59 -pie - MIN: 119.65 / MAX: 316.01 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 943.57 / MAX: 951.68 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 60 120 180 240 300 SE +/- 0.29, N = 3 SE +/- 0.48, N = 3 SE +/- 2.74, N = 15 SE +/- 0.00, N = 3 283.40 142.90 78.96 1.06 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200 400 600 800 1000 SE +/- 0.06, N = 3 SE +/- 0.29, N = 3 SE +/- 7.79, N = 15 SE +/- 0.55, N = 3 56.41 83.91 193.45 947.86 -pie - MIN: 113.44 / MAX: 315.54 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 944.57 / MAX: 958.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 500 1000 1500 2000 2500 SE +/- 1.65, N = 3 SE +/- 6.33, N = 3 SE +/- 1.55, N = 3 SE +/- 0.01, N = 3 2417.34 1389.69 368.39 6.53 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 6.60 8.62 40.67 153.12 -pie - MIN: 12.07 / MAX: 59.44 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 152.69 / MAX: 153.75 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 14 28 42 56 70 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 61.19 35.19 26.28 0.04 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 5K 10K 15K 20K 25K SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 15.60, N = 3 261.11 340.29 568.77 22391.86 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 22364.17 / MAX: 22423.42 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1500 3000 4500 6000 7500 SE +/- 4.07, N = 3 SE +/- 8.74, N = 3 SE +/- 15.96, N = 3 SE +/- 0.01, N = 3 7222.10 4166.39 1285.47 20.79 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 11 22 33 44 55 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 2.21 2.87 11.65 48.08 -pie - MIN: 3.76 / MAX: 29.1 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 47.55 / MAX: 50.49 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200 400 600 800 1000 SE +/- 0.11, N = 3 SE +/- 1.04, N = 3 SE +/- 0.93, N = 3 SE +/- 0.00, N = 3 1049.66 576.94 225.48 2.61 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 80 160 240 320 400 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.27, N = 3 SE +/- 0.20, N = 3 15.22 20.77 66.46 382.47 -pie - MIN: 25.85 / MAX: 122.2 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 381.67 / MAX: 383.43 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 800 1600 2400 3200 4000 SE +/- 1.69, N = 3 SE +/- 3.16, N = 3 SE +/- 1.12, N = 3 SE +/- 0.00, N = 15 3666.89 2043.05 1512.57 0.14 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1500 3000 4500 6000 7500 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 27.09, N = 15 4.35 5.86 9.90 6990.10 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6842.82 / MAX: 7088.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 700 1400 2100 2800 3500 SE +/- 0.31, N = 3 SE +/- 0.47, N = 3 SE +/- 0.56, N = 3 SE +/- 0.01, N = 3 3132.48 1875.28 1014.70 8.39 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 10.19 14.76 15.98 119.17 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 118.73 / MAX: 120.21 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 2K 4K 6K 8K 10K SE +/- 3.60, N = 3 SE +/- 6.52, N = 3 SE +/- 2.08, N = 3 SE +/- 0.01, N = 3 10382.22 6605.12 4239.52 0.46 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa c6g.16xlarge 500 1000 1500 2000 2500 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 27.29, N = 3 3.07 3.52 4.53 2186.81 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 2135.06 / MAX: 2233.34 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 300 600 900 1200 1500 SE +/- 0.51, N = 3 SE +/- 0.79, N = 3 SE +/- 0.37, N = 3 SE +/- 0.00, N = 3 1222.99 645.74 565.34 0.15 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1500 3000 4500 6000 7500 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 76.95, N = 3 13.07 18.56 26.50 6773.31 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6616.83 / MAX: 6859.99 1. (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.org FPS, More Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 70 140 210 280 350 SE +/- 0.11, N = 3 SE +/- 0.25, N = 3 SE +/- 0.37, N = 3 SE +/- 0.00, N = 3 315.14 185.29 96.58 1.36 -pie -pie -pie 1. (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.org ms, Fewer Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 160 320 480 640 800 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.58, N = 3 SE +/- 0.26, N = 3 50.72 64.70 155.14 735.58 -pie - MIN: 114.75 / MAX: 224.64 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 734.34 / MAX: 738.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1300 2600 3900 5200 6500 SE +/- 4.43, N = 3 SE +/- 3.28, N = 3 SE +/- 3.26, N = 3 SE +/- 0.01, N = 3 6177.94 3650.57 2646.58 5.50 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.24, N = 3 5.16 8.20 11.32 181.94 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 180.71 / MAX: 184.11 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 700 1400 2100 2800 3500 SE +/- 1.10, N = 3 SE +/- 4.38, N = 3 SE +/- 3.66, N = 3 SE +/- 0.01, N = 3 3146.04 1764.21 633.76 7.36 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 5.07 6.79 23.64 135.87 -pie - MIN: 9.57 / MAX: 42.22 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 132.35 / MAX: 148.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 300 600 900 1200 1500 SE +/- 0.70, N = 3 SE +/- 0.60, N = 3 SE +/- 0.96, N = 3 SE +/- 0.02, N = 3 1419.11 964.46 370.03 2.53 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 90 180 270 360 450 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 2.18, N = 3 22.53 31.08 81.00 394.94 -pie - MIN: 64.65 / MAX: 134.64 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 380.82 / MAX: 408.15 1. (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.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 31.79, N = 3 SE +/- 18.42, N = 3 SE +/- 14.46, N = 3 SE +/- 0.39, N = 3 81996.81 43607.04 29668.12 178.82 -pie -pie -pie 1. (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.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 1.2555 2.511 3.7665 5.022 6.2775 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 0.38 0.52 0.99 5.58 -pie - MIN: 0.8 / MAX: 13.76 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 5.45 / MAX: 6.48 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 200 400 600 800 1000 SE +/- 0.18, N = 3 SE +/- 1.75, N = 3 SE +/- 1.37, N = 3 SE +/- 0.00, N = 3 1158.43 761.14 390.72 2.36 -pie -pie -pie 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 90 180 270 360 450 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.26, N = 3 27.60 39.38 76.72 423.95 -pie - MIN: 58.8 / MAX: 121.69 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 411.17 / MAX: 440.57 1. (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.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 20K 40K 60K 80K 100K SE +/- 453.62, N = 3 SE +/- 45.46, N = 3 SE +/- 332.93, N = 3 SE +/- 0.48, N = 3 92100.80 54971.26 44049.15 136.16 -pie -pie -pie 1. (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.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 0.27 0.40 0.61 7.33 -isystem -fPIC -fvisibility=hidden -std=c++14 -MD -MT -MF -shared - MIN: 6.54 / MAX: 9.95 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes m7a.16xlarge c3d-standard-60 AMD Genoa c6g.16xlarge t2d-standard-60 AMD Milan 60K 120K 180K 240K 300K SE +/- 352.65, N = 3 SE +/- 1129.40, N = 3 SE +/- 3249.94, N = 12 SE +/- 681.76, N = 3 278585 228640 217355 187169
nginx Connections: 500 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 m7a.16xlarge c3d-standard-60 AMD Genoa t2d-standard-60 AMD Milan c6g.16xlarge 50K 100K 150K 200K 250K SE +/- 451.60, N = 3 SE +/- 126.15, N = 3 SE +/- 394.72, N = 3 SE +/- 249.05, N = 3 233014.72 187350.44 162957.75 162553.85 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 m7a.16xlarge c3d-standard-60 AMD Genoa c6g.16xlarge t2d-standard-60 AMD Milan 50K 100K 150K 200K 250K SE +/- 260.28, N = 3 SE +/- 688.79, N = 3 SE +/- 132.24, N = 3 SE +/- 156.32, N = 3 224859.09 180537.84 158700.36 155609.04 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric m7a.16xlarge t2d-standard-60 AMD Milan c3d-standard-60 AMD Genoa 200K 400K 600K 800K 1000K 788704 629363 510819 1. (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
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 0.1726 0.3452 0.5178 0.6904 0.863 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 0.274 0.399 0.767 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency m7a.16xlarge t2d-standard-60 AMD Milan c6g.16xlarge 0.2309 0.4618 0.6927 0.9236 1.1545 SE +/- 0.000, N = 3 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 0.347 0.498 1.026 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency t2d-standard-60 AMD Milan m7a.16xlarge c6g.16xlarge 40 80 120 160 200 SE +/- 1.23, N = 12 SE +/- 0.39, N = 3 SE +/- 3.85, N = 12 140.92 150.60 168.19 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency t2d-standard-60 AMD Milan m7a.16xlarge c6g.16xlarge 50 100 150 200 250 SE +/- 1.44, N = 8 SE +/- 0.59, N = 3 SE +/- 6.00, N = 9 172.72 188.68 210.61 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
Phoronix Test Suite v10.8.4