Benchmarks by Michael Larabel for a future article looking at AMD Inception impact.
safe RET no microcode Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)Python Notes: Python 3.10.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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
off Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)Python Notes: Python 3.10.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable no microcode + 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
safe RET Processor: AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 6.5.0-rc5-phx-tues (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.3, Vulkan: 1.3.224, Compiler: GCC 11.3.0 + LLVM 14.0.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa0011d1Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)Python Notes: Python 3.10.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + 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
AMD EPYC 7763 1P spec_rstack_overflow OpenBenchmarking.org Phoronix Test Suite AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads) AMD DAYTONA_X (RYM1009B BIOS) AMD Starship/Matisse 256GB 800GB INTEL SSDPF21Q800GB ASPEED VE228 2 x Mellanox MT27710 Ubuntu 22.04 6.5.0-rc5-phx-tues (x86_64) GNOME Shell 42.5 X Server 1.21.1.3 1.3.224 GCC 11.3.0 + LLVM 14.0.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution AMD EPYC 7763 1P Spec_rstack_overflow Benchmarks System Logs - Transparent Huge Pages: madvise - --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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096 - safe RET no microcode: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 - off: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 - safe RET: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa0011d1 - OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04) - Python 3.10.6 - safe RET no microcode: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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 - off: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable no microcode + 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 - safe RET: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + 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
safe RET no microcode off safe RET Result Overview Phoronix Test Suite 100% 109% 118% 128% 137% SQLite MariaDB Timed Linux Kernel Compilation nginx TensorFlow PostgreSQL Numpy Benchmark ClickHouse 7-Zip Compression Apache Spark OpenRadioss RocksDB Timed Node.js Compilation ACES DGEMM Remhos Timed LLVM Compilation CockroachDB Timed Godot Game Engine Compilation OpenFOAM Apache Cassandra Apache IoTDB Redis 7.0.12 + memtier_benchmark Timed MrBayes Analysis SPECFEM3D Algebraic Multi-Grid Benchmark GROMACS Blender OpenVINO Embree OpenVKL Neural Magic DeepSparse OSPRay NAMD DaCapo Benchmark
AMD EPYC 7763 1P spec_rstack_overflow openvkl: vklBenchmark ISPC tensorflow: CPU - 64 - ResNet-50 cockroach: KV, 50% Reads - 128 cockroach: KV, 95% Reads - 128 mysqlslap: 8192 build-linux-kernel: allmodconfig clickhouse: 100M Rows Hits Dataset, Third Run clickhouse: 100M Rows Hits Dataset, Second Run clickhouse: 100M Rows Hits Dataset, First Run / Cold Cache openfoam: drivaerFastback, Medium Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time mysqlslap: 4096 ospray: particle_volume/pathtracer/real_time apache-iotdb: 200 - 100 - 500 apache-iotdb: 200 - 100 - 500 build-llvm: Ninja openradioss: INIVOL and Fluid Structure Interaction Drop Container build-nodejs: Time To Compile numpy: openradioss: Bird Strike on Windshield ospray: particle_volume/scivis/real_time deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 800 - Read Only pgbench: 100 - 800 - Read Write - Average Latency pgbench: 100 - 800 - Read Write mrbayes: Primate Phylogeny Analysis spark: 1000000 - 100 - Broadcast Inner Join Test Time spark: 1000000 - 100 - Inner Join Test Time spark: 1000000 - 100 - Repartition Test Time spark: 1000000 - 100 - Group By Test Time spark: 1000000 - 100 - Calculate Pi Benchmark spark: 1000000 - 100 - SHA-512 Benchmark Time cassandra: Writes build-godot: Time To Compile memtier-benchmark: Redis - 100 - 1:10 apache-iotdb: 500 - 100 - 500 apache-iotdb: 500 - 100 - 500 apache-iotdb: 200 - 100 - 200 apache-iotdb: 200 - 100 - 200 ospray: particle_volume/ao/real_time openradioss: Bumper Beam nginx: 1000 nginx: 500 deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream openradioss: Rubber O-Ring Seal Installation blender: Pabellon Barcelona - CPU-Only openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU memtier-benchmark: Redis - 50 - 1:5 memtier-benchmark: Redis - 100 - 1:5 build-linux-kernel: defconfig memtier-benchmark: Redis - 50 - 1:10 rocksdb: Read Rand Write Rand openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/ao/real_time openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU rocksdb: Update Rand deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream ospray: gravity_spheres_volume/dim_512/pathtracer/real_time apache-iotdb: 500 - 100 - 200 apache-iotdb: 500 - 100 - 200 deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream apache-iotdb: 200 - 1 - 200 apache-iotdb: 200 - 1 - 200 apache-iotdb: 500 - 1 - 500 apache-iotdb: 500 - 1 - 500 openradioss: Cell Phone Drop Test gromacs: MPI CPU - water_GMX50_bare deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream compress-7zip: Decompression Rating compress-7zip: Compression Rating amg: deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream specfem3d: Layered Halfspace specfem3d: Water-layered Halfspace apache-iotdb: 500 - 1 - 200 apache-iotdb: 500 - 1 - 200 apache-iotdb: 200 - 1 - 500 apache-iotdb: 200 - 1 - 500 blender: BMW27 - CPU-Only namd: ATPase Simulation - 327,506 Atoms specfem3d: Homogeneous Halfspace remhos: Sample Remap Example mt-dgemm: Sustained Floating-Point Rate specfem3d: Tomographic Model specfem3d: Mount St. Helens dacapobench: Tradebeans embree: Pathtracer ISPC - Crown embree: Pathtracer ISPC - Asian Dragon sqlite: 16 dacapobench: Jython sqlite: 8 safe RET no microcode off safe RET 452 15.56 100851.4 131487.0 301 344.242 329.19 337.01 323.42 644.36223 145.06069 412 155.165 123.61 37720117.40 182.169 163.02 172.749 418.95 152.91 17.7305 679.5766 46.7239 0.296 2707280 14.499 55175 137.518 1.39 2.22 2.38 5.17 32.02 3.42 233069 125.663 2154339.26 79.19 58073516.79 35.10 46538766.01 18.0288 93.68 140555.98 144020.03 55.3747 577.0589 85.04 84.69 4124.74 7.58 2218601.79 2167181.09 37.623 2173694.77 2872765 1142.29 27.79 8.32749 8.96941 28.38 1126.64 428112 65.8910 485.0069 596.5579 53.5972 13.2621 38.54 47445770.18 840.7721 37.6987 14.05 947741.34 31.93 1408658.83 36.37 5.730 68.2595 468.3646 383039 334812 999645400 8.3612 3816.7676 31.829261870 30.427531709 13.61 1202637.36 30.29 1342031.11 27.58 0.38115 17.643680397 17.788 24.695818 14.404419238 11.982163460 4096 57.2956 64.3916 8.834 4191 4.850 453 17.78 103635.0 135187.2 355 289.063 362.64 361.81 349.43 633.51902 140.61562 590 157.829 117.97 39463981.42 176.374 162.13 164.268 457.23 144.83 17.7511 678.9330 46.7020 0.256 3128719 12.988 61604 136.686 1.30 1.88 2.09 4.91 31.84 3.39 238741 121.948 2195705.51 78.92 58682618.18 37.70 43665846.28 18.0226 87.72 166499.89 169583.15 55.3922 576.9722 77.46 84.50 4092.91 7.68 2204628.92 2197287.30 31.192 2177211.80 2951684 1141.43 27.83 8.33174 8.96051 28.40 1126.03 462287 65.5911 487.2450 596.5915 53.5968 13.1355 36.58 49501499.13 839.7201 37.6037 13.83 960525.66 31.49 1415756.33 33.10 5.680 68.1483 468.8306 385585 384374 1011799000 8.3078 3840.6307 31.845630424 29.772535386 14.05 1176385.35 32.36 1271946.57 27.34 0.38130 17.417120933 17.375 24.200551 14.134265606 11.801238732 3993 57.4229 64.5964 6.273 4193 3.755 453 15.65 99601.6 132046.0 301 338.157 337.45 337.12 318.12 643.71316 144.02174 418 156.419 120.06 38833415.97 181.528 163.97 173.064 422.58 152.27 17.7305 682.2071 46.5677 0.289 2768445 14.589 54837 138.851 1.41 2.14 2.26 5.15 31.43 3.47 236241 125.060 2157815.69 82.24 57099408.15 37.53 44027904.89 17.9817 93.90 143271.26 142619.84 55.4028 576.8166 84.48 84.49 4114.58 7.60 2145436.26 2145052.14 37.243 2172804.71 2839085 1142.53 27.82 8.33813 8.94049 28.39 1126.14 426947 65.5662 487.3677 596.7822 53.5729 13.2538 35.82 50578426.54 840.4236 37.6319 14.73 918691.45 27.73 1583717.62 36.40 5.706 68.2325 468.2170 383515 335595 999102100 8.3219 3834.2439 31.659940885 29.590868260 13.36 1211172.13 30.14 1345598.59 27.46 0.38098 17.690298650 17.958 23.702889 14.188058962 12.010380781 4143 57.3138 64.6742 8.800 4241 5.006 OpenBenchmarking.org
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC safe RET no microcode off safe RET 100 200 300 400 500 SE +/- 0.58, N = 3 SE +/- 0.58, N = 3 SE +/- 0.00, N = 3 452 453 453 MIN: 85 / MAX: 2535 MIN: 84 / MAX: 2528 MIN: 84 / MAX: 2520
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 15.56 17.78 15.65
CockroachDB CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 safe RET no microcode off safe RET 20K 40K 60K 80K 100K SE +/- 719.41, N = 15 SE +/- 275.86, N = 3 SE +/- 948.29, N = 15 100851.4 103635.0 99601.6
OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 safe RET no microcode off safe RET 30K 60K 90K 120K 150K SE +/- 1043.12, N = 13 SE +/- 931.05, N = 3 SE +/- 1387.70, N = 15 131487.0 135187.2 132046.0
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.0.1 Clients: 8192 safe RET no microcode off safe RET 80 160 240 320 400 SE +/- 0.73, N = 3 SE +/- 3.35, N = 3 SE +/- 1.18, N = 3 301 355 301 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run safe RET no microcode off safe RET 80 160 240 320 400 SE +/- 3.27, N = 5 SE +/- 2.21, N = 3 SE +/- 1.85, N = 3 329.19 362.64 337.45 MIN: 31.32 / MAX: 2857.14 MIN: 31.5 / MAX: 4285.71 MIN: 31.46 / MAX: 4000
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run safe RET no microcode off safe RET 80 160 240 320 400 SE +/- 2.16, N = 5 SE +/- 1.42, N = 3 SE +/- 4.86, N = 3 337.01 361.81 337.12 MIN: 30.49 / MAX: 3529.41 MIN: 31.46 / MAX: 4000 MIN: 30.79 / MAX: 4000
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache safe RET no microcode off safe RET 80 160 240 320 400 SE +/- 3.38, N = 5 SE +/- 0.68, N = 3 SE +/- 2.94, N = 3 323.42 349.43 318.12 MIN: 30.82 / MAX: 5000 MIN: 31.06 / MAX: 4285.71 MIN: 30.57 / MAX: 3333.33
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time safe RET no microcode off safe RET 140 280 420 560 700 644.36 633.52 643.71 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time safe RET no microcode off safe RET 30 60 90 120 150 145.06 140.62 144.02 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.0.1 Clients: 4096 safe RET no microcode off safe RET 130 260 390 520 650 SE +/- 2.96, N = 3 SE +/- 5.48, N = 3 SE +/- 3.51, N = 3 412 590 418 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time safe RET no microcode off safe RET 30 60 90 120 150 SE +/- 1.83, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 155.17 157.83 156.42
Apache IoTDB OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 safe RET no microcode off safe RET 30 60 90 120 150 SE +/- 1.63, N = 5 SE +/- 0.95, N = 10 SE +/- 0.86, N = 15 123.61 117.97 120.06 MAX: 4533.33 MAX: 4652.25 MAX: 4495.21
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 safe RET no microcode off safe RET 8M 16M 24M 32M 40M SE +/- 394126.89, N = 5 SE +/- 302926.36, N = 10 SE +/- 288707.73, N = 15 37720117.40 39463981.42 38833415.97
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container safe RET no microcode off safe RET 40 80 120 160 200 SE +/- 0.39, N = 3 SE +/- 0.16, N = 3 SE +/- 0.50, N = 3 163.02 162.13 163.97
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Bird Strike on Windshield safe RET no microcode off safe RET 30 60 90 120 150 SE +/- 0.67, N = 3 SE +/- 0.07, N = 3 SE +/- 0.73, N = 3 152.91 144.83 152.27
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 17.73 17.75 17.73
Neural Magic DeepSparse OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 150 300 450 600 750 SE +/- 1.47, N = 3 SE +/- 1.21, N = 3 SE +/- 0.96, N = 3 679.58 678.93 682.21
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 11 22 33 44 55 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 46.72 46.70 46.57
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency safe RET no microcode off safe RET 0.0666 0.1332 0.1998 0.2664 0.333 SE +/- 0.003, N = 3 SE +/- 0.000, N = 3 SE +/- 0.004, N = 3 0.296 0.256 0.289 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only safe RET no microcode off safe RET 700K 1400K 2100K 2800K 3500K SE +/- 29158.10, N = 3 SE +/- 1705.16, N = 3 SE +/- 34286.68, N = 3 2707280 3128719 2768445 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 14.50 12.99 14.59 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write safe RET no microcode off safe RET 13K 26K 39K 52K 65K SE +/- 66.28, N = 3 SE +/- 418.78, N = 3 SE +/- 207.71, N = 3 55175 61604 54837 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
Timed MrBayes Analysis This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis safe RET no microcode off safe RET 30 60 90 120 150 SE +/- 0.66, N = 3 SE +/- 0.85, N = 3 SE +/- 1.05, N = 3 137.52 136.69 138.85 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
Apache Spark This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time safe RET no microcode off safe RET 0.3173 0.6346 0.9519 1.2692 1.5865 SE +/- 0.02, N = 3 SE +/- 0.01, N = 15 SE +/- 0.01, N = 3 1.39 1.30 1.41
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time safe RET no microcode off safe RET 0.4995 0.999 1.4985 1.998 2.4975 SE +/- 0.05, N = 3 SE +/- 0.02, N = 15 SE +/- 0.06, N = 3 2.22 1.88 2.14
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time safe RET no microcode off safe RET 0.5355 1.071 1.6065 2.142 2.6775 SE +/- 0.04, N = 3 SE +/- 0.04, N = 15 SE +/- 0.04, N = 3 2.38 2.09 2.26
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time safe RET no microcode off safe RET 1.1633 2.3266 3.4899 4.6532 5.8165 SE +/- 0.08, N = 3 SE +/- 0.04, N = 15 SE +/- 0.07, N = 3 5.17 4.91 5.15
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark safe RET no microcode off safe RET 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.12, N = 15 SE +/- 0.33, N = 3 32.02 31.84 31.43
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time safe RET no microcode off safe RET 0.7808 1.5616 2.3424 3.1232 3.904 SE +/- 0.04, N = 3 SE +/- 0.03, N = 15 SE +/- 0.04, N = 3 3.42 3.39 3.47
Redis 7.0.12 + memtier_benchmark Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 safe RET no microcode off safe RET 500K 1000K 1500K 2000K 2500K SE +/- 16754.20, N = 10 SE +/- 30210.22, N = 3 SE +/- 792.70, N = 3 2154339.26 2195705.51 2157815.69 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Apache IoTDB OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 safe RET no microcode off safe RET 20 40 60 80 100 SE +/- 0.81, N = 4 SE +/- 2.14, N = 3 SE +/- 1.29, N = 3 79.19 78.92 82.24 MAX: 5165.86 MAX: 1729.94 MAX: 3625.32
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 safe RET no microcode off safe RET 13M 26M 39M 52M 65M SE +/- 648692.91, N = 4 SE +/- 817020.04, N = 3 SE +/- 721225.08, N = 3 58073516.79 58682618.18 57099408.15
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 safe RET no microcode off safe RET 9 18 27 36 45 SE +/- 0.62, N = 3 SE +/- 0.55, N = 15 SE +/- 0.52, N = 15 35.10 37.70 37.53 MAX: 728.37 MAX: 802.64 MAX: 755.16
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 safe RET no microcode off safe RET 10M 20M 30M 40M 50M SE +/- 614274.26, N = 3 SE +/- 574678.74, N = 15 SE +/- 543529.82, N = 15 46538766.01 43665846.28 44027904.89
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 18.03 18.02 17.98
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Bumper Beam safe RET no microcode off safe RET 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.33, N = 3 SE +/- 0.03, N = 3 93.68 87.72 93.90
nginx This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 safe RET no microcode off safe RET 40K 80K 120K 160K 200K SE +/- 352.89, N = 3 SE +/- 362.13, N = 3 SE +/- 314.03, N = 3 140555.98 166499.89 143271.26 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 safe RET no microcode off safe RET 40K 80K 120K 160K 200K SE +/- 284.55, N = 3 SE +/- 284.72, N = 3 SE +/- 251.96, N = 3 144020.03 169583.15 142619.84 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Neural Magic DeepSparse OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 55.37 55.39 55.40
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 120 240 360 480 600 SE +/- 0.39, N = 3 SE +/- 0.44, N = 3 SE +/- 0.39, N = 3 577.06 576.97 576.82
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation safe RET no microcode off safe RET 20 40 60 80 100 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.24, N = 3 85.04 77.46 84.48
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only safe RET no microcode off safe RET 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 84.69 84.50 84.49
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU safe RET no microcode off safe RET 900 1800 2700 3600 4500 SE +/- 6.87, N = 3 SE +/- 14.65, N = 3 SE +/- 10.77, N = 3 4124.74 4092.91 4114.58 MIN: 2129.26 / MAX: 5016.36 MIN: 3409.52 / MAX: 4641.43 MIN: 2087 / MAX: 5053.62 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU safe RET no microcode off safe RET 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 7.58 7.68 7.60 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
Redis 7.0.12 + memtier_benchmark Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 safe RET no microcode off safe RET 500K 1000K 1500K 2000K 2500K SE +/- 31351.12, N = 3 SE +/- 11955.97, N = 3 SE +/- 1778.76, N = 3 2218601.79 2204628.92 2145436.26 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 safe RET no microcode off safe RET 500K 1000K 1500K 2000K 2500K SE +/- 17712.54, N = 3 SE +/- 14704.83, N = 3 SE +/- 4916.89, N = 3 2167181.09 2197287.30 2145052.14 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 safe RET no microcode off safe RET 500K 1000K 1500K 2000K 2500K SE +/- 17754.58, N = 3 SE +/- 14630.02, N = 3 SE +/- 2448.62, N = 3 2173694.77 2177211.80 2172804.71 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
RocksDB This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Read Random Write Random safe RET no microcode off safe RET 600K 1200K 1800K 2400K 3000K SE +/- 18652.89, N = 3 SE +/- 35283.44, N = 4 SE +/- 21895.20, N = 3 2872765 2951684 2839085 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU safe RET no microcode off safe RET 200 400 600 800 1000 SE +/- 0.27, N = 3 SE +/- 0.32, N = 3 SE +/- 1.09, N = 3 1142.29 1141.43 1142.53 MIN: 985.75 / MAX: 1168.76 MIN: 998.76 / MAX: 1165.45 MIN: 999.01 / MAX: 1177.02 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU safe RET no microcode off safe RET 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 27.79 27.83 27.82 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time safe RET no microcode off safe RET 2 4 6 8 10 SE +/- 0.01659, N = 3 SE +/- 0.00864, N = 3 SE +/- 0.01059, N = 3 8.32749 8.33174 8.33813
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time safe RET no microcode off safe RET 3 6 9 12 15 SE +/- 0.02941, N = 3 SE +/- 0.02460, N = 3 SE +/- 0.01456, N = 3 8.96941 8.96051 8.94049
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU safe RET no microcode off safe RET 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 28.38 28.40 28.39 MIN: 14.89 / MAX: 51.63 MIN: 14.74 / MAX: 48.66 MIN: 14.64 / MAX: 50.33 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU safe RET no microcode off safe RET 200 400 600 800 1000 SE +/- 0.72, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 1126.64 1126.03 1126.14 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
RocksDB This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Update Random safe RET no microcode off safe RET 100K 200K 300K 400K 500K SE +/- 426.73, N = 3 SE +/- 893.82, N = 3 SE +/- 185.49, N = 3 428112 462287 426947 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Neural Magic DeepSparse OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 15 30 45 60 75 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 65.89 65.59 65.57
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 110 220 330 440 550 SE +/- 0.96, N = 3 SE +/- 1.15, N = 3 SE +/- 1.01, N = 3 485.01 487.25 487.37
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 130 260 390 520 650 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 596.56 596.59 596.78
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 12 24 36 48 60 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 53.60 53.60 53.57
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time safe RET no microcode off safe RET 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 13.26 13.14 13.25
Apache IoTDB OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 safe RET no microcode off safe RET 9 18 27 36 45 SE +/- 0.11, N = 3 SE +/- 0.61, N = 3 SE +/- 0.49, N = 3 38.54 36.58 35.82 MAX: 3276.77 MAX: 2252.73 MAX: 3267.55
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 safe RET no microcode off safe RET 11M 22M 33M 44M 55M SE +/- 147114.88, N = 3 SE +/- 681823.31, N = 3 SE +/- 634314.77, N = 3 47445770.18 49501499.13 50578426.54
Neural Magic DeepSparse OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 200 400 600 800 1000 SE +/- 0.36, N = 3 SE +/- 0.50, N = 3 SE +/- 0.34, N = 3 840.77 839.72 840.42
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 9 18 27 36 45 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 37.70 37.60 37.63
Apache IoTDB OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.16, N = 12 SE +/- 0.19, N = 3 SE +/- 0.21, N = 8 14.05 13.83 14.73 MAX: 609.96 MAX: 596.78 MAX: 645.11
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 safe RET no microcode off safe RET 200K 400K 600K 800K 1000K SE +/- 6730.71, N = 12 SE +/- 8467.91, N = 3 SE +/- 7998.38, N = 8 947741.34 960525.66 918691.45
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 safe RET no microcode off safe RET 7 14 21 28 35 SE +/- 0.49, N = 3 SE +/- 0.29, N = 3 SE +/- 0.22, N = 3 31.93 31.49 27.73 MAX: 930.97 MAX: 939.96 MAX: 938.92
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 safe RET no microcode off safe RET 300K 600K 900K 1200K 1500K SE +/- 13029.07, N = 3 SE +/- 4294.81, N = 3 SE +/- 5073.96, N = 3 1408658.83 1415756.33 1583717.62
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Cell Phone Drop Test safe RET no microcode off safe RET 8 16 24 32 40 SE +/- 0.26, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 36.37 33.10 36.40
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare safe RET no microcode off safe RET 1.2893 2.5786 3.8679 5.1572 6.4465 SE +/- 0.006, N = 3 SE +/- 0.012, N = 3 SE +/- 0.010, N = 3 5.730 5.680 5.706 1. (CXX) g++ options: -O3
Neural Magic DeepSparse OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 15 30 45 60 75 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 68.26 68.15 68.23
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 100 200 300 400 500 SE +/- 0.42, N = 3 SE +/- 0.24, N = 3 SE +/- 0.31, N = 3 468.36 468.83 468.22
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating safe RET no microcode off safe RET 80K 160K 240K 320K 400K SE +/- 25.38, N = 3 SE +/- 1018.75, N = 3 SE +/- 435.27, N = 3 334812 384374 335595 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 safe RET no microcode off safe RET 200M 400M 600M 800M 1000M SE +/- 575791.94, N = 3 SE +/- 839009.73, N = 3 SE +/- 367255.40, N = 3 999645400 1011799000 999102100 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
Neural Magic DeepSparse OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 2 4 6 8 10 SE +/- 0.0167, N = 3 SE +/- 0.0095, N = 3 SE +/- 0.0271, N = 3 8.3612 8.3078 8.3219
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream safe RET no microcode off safe RET 800 1600 2400 3200 4000 SE +/- 7.72, N = 3 SE +/- 4.76, N = 3 SE +/- 12.28, N = 3 3816.77 3840.63 3834.24
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace safe RET no microcode off safe RET 7 14 21 28 35 SE +/- 0.23, N = 3 SE +/- 0.35, N = 3 SE +/- 0.18, N = 3 31.83 31.85 31.66 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace safe RET no microcode off safe RET 7 14 21 28 35 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 SE +/- 0.35, N = 3 30.43 29.77 29.59 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Apache IoTDB OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.19, N = 3 13.61 14.05 13.36 MAX: 854.4 MAX: 858.17 MAX: 881.3
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 safe RET no microcode off safe RET 300K 600K 900K 1200K 1500K SE +/- 6553.14, N = 3 SE +/- 1566.77, N = 3 SE +/- 4253.29, N = 3 1202637.36 1176385.35 1211172.13
OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 safe RET no microcode off safe RET 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.24, N = 3 SE +/- 0.22, N = 3 30.29 32.36 30.14 MAX: 715.01 MAX: 646.51 MAX: 641.04
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 safe RET no microcode off safe RET 300K 600K 900K 1200K 1500K SE +/- 1525.49, N = 3 SE +/- 7578.67, N = 3 SE +/- 9180.92, N = 3 1342031.11 1271946.57 1345598.59
Blender OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only safe RET no microcode off safe RET 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 27.58 27.34 27.46
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms safe RET no microcode off safe RET 0.0858 0.1716 0.2574 0.3432 0.429 SE +/- 0.00029, N = 3 SE +/- 0.00017, N = 3 SE +/- 0.00028, N = 3 0.38115 0.38130 0.38098
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.20, N = 4 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 17.64 17.42 17.69 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Remhos Remhos (REMap High-Order Solver) is a miniapp that solves the pure advection equations that are used to perform monotonic and conservative discontinuous field interpolation (remap) as part of the Eulerian phase in Arbitrary Lagrangian Eulerian (ALE) simulations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.19, N = 3 17.79 17.38 17.96 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model safe RET no microcode off safe RET 4 8 12 16 20 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 14.40 14.13 14.19 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens safe RET no microcode off safe RET 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 11.98 11.80 12.01 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Crown safe RET no microcode off safe RET 13 26 39 52 65 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 57.30 57.42 57.31 MIN: 56.26 / MAX: 58.69 MIN: 56.59 / MAX: 58.54 MIN: 56.2 / MAX: 58.59
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon safe RET no microcode off safe RET 14 28 42 56 70 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 64.39 64.60 64.67 MIN: 63.77 / MAX: 66.16 MIN: 64.05 / MAX: 66.13 MIN: 64.11 / MAX: 66.01
SQLite This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.41.2 Threads / Copies: 16 safe RET no microcode off safe RET 2 4 6 8 10 SE +/- 0.024, N = 3 SE +/- 0.020, N = 3 SE +/- 0.052, N = 3 8.834 6.273 8.800 1. (CC) gcc options: -O2 -lz -lm
SQLite This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.41.2 Threads / Copies: 8 safe RET no microcode off safe RET 1.1264 2.2528 3.3792 4.5056 5.632 SE +/- 0.016, N = 3 SE +/- 0.013, N = 3 SE +/- 0.036, N = 3 4.850 3.755 5.006 1. (CC) gcc options: -O2 -lz -lm
safe RET no microcode Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)Python Notes: Python 3.10.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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
Testing initiated at 9 August 2023 18:46 by user phoronix.
off Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)Python Notes: Python 3.10.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable no microcode + 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
Testing initiated at 10 August 2023 05:20 by user phoronix.
safe RET Processor: AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 6.5.0-rc5-phx-tues (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.3, Vulkan: 1.3.224, Compiler: GCC 11.3.0 + LLVM 14.0.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa0011d1Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)Python Notes: Python 3.10.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + 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
Testing initiated at 10 August 2023 12:35 by user phoronix.