Benchmarks for a future article. AMD EPYC 8534PN 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
Zen 1 - EPYC 7601 Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 128GB, Disk: 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, 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,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126eJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security 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: Mitigation of untrained return thunk; SMT vulnerable + 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 STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Zen 4C - EPYC 8534PN Processor: AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads)Motherboard: AMD Cinnabar (RCB1009C BIOS)Chipset: AMD Device 14a4Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMGDisk: 1000GB INTEL SSDPE2KX010T8Graphics: ASPEEDNetwork: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
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,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security 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 Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
AMD EPYC Zen Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads) TYAN B8026T70AE24HR (V1.02.B10 BIOS) AMD 17h 128GB 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8 llvmpipe VE228 2 x Broadcom NetXtreme BCM5720 PCIe Ubuntu 23.10 6.6.9-060609-generic (x86_64) GNOME Shell 45.0 X Server 1.21.1.7 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits) GCC 13.2.0 ext4 1920x1080 AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads) AMD Cinnabar (RCB1009C BIOS) AMD Device 14a4 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG 1000GB INTEL SSDPE2KX010T8 ASPEED 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Zen 1 - EPYC 7601: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e - Zen 4C - EPYC 8534PN: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212 Java Details - OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10) Python Details - Python 3.11.6 Security Details - Zen 1 - EPYC 7601: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + 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 STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Zen 4C - EPYC 8534PN: 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 Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Zen 1 - EPYC 7601 vs. Zen 4C - EPYC 8534PN Comparison Phoronix Test Suite Baseline +588.7% +588.7% +1177.4% +1177.4% +1766.1% +1766.1% 881.3% 726.8% 726.8% 720.4% 720.4% 649.8% 607.4% 589% 588.6% 581.4% 570.9% 553.6% 550.2% 521.7% 505.5% 473.6% 459% 455.2% 452.1% 440.9% 428.6% 412.3% 411.9% 396.6% 373.5% 357.7% 356.8% 331.9% 326.9% 314.7% 308.9% 305% 303.3% 283.3% 281.1% 280.8% 280.8% 269.8% 256.9% 255.5% 253.5% 251.4% 250.6% 243.6% 241.8% 241.6% 239.6% 235% 231.5% 226.5% 225.3% 223.3% 221.1% 219.2% 215.9% 213.6% 212.6% 207.8% 202.5% 202.1% 201.9% 2354.6% 198.7% 197.5% 195.1% 194.1% 190.1% 189.1% 188.9% 186.1% 185.8% 185.6% 183.9% 179.9% 177.6% 175.9% 169.7% 165.7% 164.6% 164.2% 160.6% 156% 154.8% 153.9% 150.2% 150.1% 147.8% 145.4% 141.2% 136.1% 134.7% 131.3% 127.6% 125.5% 123.5% 123.3% 123.3% 123.1% 120.3% 118% 110.7% 105.7% 105.2% 102.8% 1300.8% 1298% 1128.6% 907.5% 97.4% 95.4% 90.8% 89.7% 89.3% 87.5% 82.9% 79.5% 79.2% 78.7% 78.1% 78% 78% 77.6% 77.2% 77.2% 76.9% 75.9% 74.6% 73.9% 73.9% 73.5% 72.4% 70.7% 70.4% 69.8% 68.9% 68.8% 67.7% 67.5% 66.3% 65.7% 65.5% 64.5% 64.1% 63.7% 63.3% 62.8% 61.8% 61.1% 61% 60.7% 59.2% 59.1% 58.4% 57% 56.4% 53.7% 51.5% 47.8% 47.5% 47.5% 45.5% 45.2% 45.1% 43.6% 42.8% 38.8% 38.3% 37.7% 32.8% 32% 30.1% 28.2% 27.7% 25% 24.8% 24.2% 23.9% 17.8% 7.7% V.D.F.I - CPU OpenMP - BM2 OpenMP - BM2 OpenMP - BM1 OpenMP - BM1 M.T.E.T.D.F - CPU W.P.D.F.I - CPU ChaCha20-Poly1305 C.S.9.P.Y.P - A.M.S gravity_spheres_volume/dim_512/scivis/real_time gravity_spheres_volume/dim_512/ao/real_time R.S.A.F.I - CPU H.E.R.F.I - CPU ChaCha20 S.F.P.R A.G.R.R.0.F.I - CPU RSA4096 N.T.C.B.b.u.S.S.I - A.M.S P.V.B.D.F - CPU AES-128-GCM B.L.N.Q.A.S.I - A.M.S AES-256-GCM CPU - 16 - ResNet-50 P.D.F - CPU gravity_spheres_volume/dim_512/pathtracer/real_time 3 - 4K - 1 - Path Tracer - CPU 1 - 4K - 1 - Path Tracer - CPU 3 - 4K - 32 - Path Tracer - CPU 1 - 4K - 32 - Path Tracer - CPU 3 - 4K - 16 - Path Tracer - CPU GhostRider - 1M A.G.R.R.0.F.I - CPU 1 - 4K - 16 - Path Tracer - CPU RT.ldr_alb_nrm.3840x2160 - CPU-Only Pathtracer ISPC - Asian Dragon Wownero - 1M e.G.B.S - 1200 Pathtracer ISPC - Crown Rand Read N.T.C.D.m - A.M.S B.L.N.Q.A - A.M.S F.D.F.I - CPU Rand Read C.S.9.P.Y.P - A.M.S N.T.C.B.b.u.c - A.M.S N.D.C.o.b.u.o.I - A.M.S R.5.B - A.M.S C.C.R.5.I - A.M.S 1B particle_volume/scivis/real_time H.E.R.F.I - CPU particle_volume/ao/real_time e.G.B.S - 2400 Barbershop - CPU-Only SHA512 C.D.Y.C.S.I - A.M.S C.D.Y.C - A.M.S 500M RSA4096 D.R CPU R.5.S.I - A.M.S KawPow - 1M C.F.U - 1M SHA256 Monero - 1M CryptoNight-Heavy - 1M Preset 13 - Bosphorus 4K Compression Rating Fishy Cat - CPU-Only CPU - Supercar Pabellon Barcelona - CPU-Only Classroom - CPU-Only CPU - Bedroom N.T.C.B.b.u.S.S.I - A.M.S Preset 12 - Bosphorus 4K BMW27 - CPU-Only Multi-Threaded 1000 B.L.N.Q.A.S.I - A.M.S Redis - 100 - 1:10 Preset 8 - Bosphorus 4K 500 Redis - 100 - 1:5 Ninja ATPase Simulation - 327,506 Atoms V.D.F.I - CPU allmodconfig Time To Compile Bosphorus 4K - Very Fast Bosphorus 4K - Super Fast d.S.M.S - Execution Time Bosphorus 4K - Medium Carbon Nanotube 20k Atoms libx265 - Platform libx265 - Video On Demand libx265 - Upload Time To Compile Preset 4 - Bosphorus 4K Read While Writing Bosphorus 4K - Ultra Fast Read While Writing Unix Makefiles F.D.F.I - CPU W.P.D.F.I - CPU R.5.S.I - A.M.S F.D.R.F.I - CPU libx265 - Live clover_bm16 Bosphorus 4K - Fast Bosphorus 4K clover_bm64_short M.T.E.T.D.F - CPU defconfig R.R.W.R i.i.1.C.P.D Time To Compile Bosphorus 4K - Faster N.T.C.D.m - A.M.S B.L.N.Q.A - A.M.S 500 - 100 - 800 - 100 500 - 100 - 800 - 100 10 Update Rand R.R.W.R 800 - 100 - 500 - 100 500 - 100 - 800 - 400 800 - 100 - 500 - 100 d.M.M.S - Execution Time CPU - 256 - ResNet-50 N.D.C.o.b.u.o.I - A.M.S N.T.C.B.b.u.c - A.M.S R.5.B - A.M.S CPU - 1 - ResNet-50 particle_volume/pathtracer/real_time Chrysler Neon 1M C.C.R.5.I - A.M.S Update Rand 500 - 100 - 800 - 400 6 Writes CORAL2 P1 R.S.A.F.I - CPU 500 - 100 - 500 - 400 800 - 100 - 500 - 400 800 - 100 - 500 - 400 500 - 100 - 500 - 100 500 - 100 - 500 - 100 5 IMDB P.P.A C.D.Y.C.S.I - A.M.S C.D.Y.C - A.M.S 500 - 100 - 500 - 400 1 1000 800 - 100 - 200 - 100 800 - 100 - 200 - 400 X.b.i.i d.M.M.S - Mesh Time 800 - 100 - 200 - 100 d.S.M.S - Mesh Time CTS2 P.V.B.D.F - CPU 800 - 100 - 200 - 400 TPC-H Parquet 500 - 100 - 200 - 100 500 - 100 - 200 - 400 500 - 100 - 200 - 100 F.D.R.F.I - CPU 800 - 100 - 800 - 100 800 - 100 - 800 - 100 500 - 100 - 200 - 400 P.D.F - CPU 800 - 100 - 800 - 400 800 - 100 - 800 - 400 CORAL2 P2 OpenVINO miniBUDE miniBUDE miniBUDE miniBUDE OpenVINO OpenVINO OpenSSL Neural Magic DeepSparse OSPRay OSPRay OpenVINO OpenVINO OpenSSL ACES DGEMM OpenVINO OpenSSL Neural Magic DeepSparse OpenVINO OpenSSL Neural Magic DeepSparse OpenSSL TensorFlow OpenVINO OSPRay OSPRay Studio OSPRay Studio OSPRay Studio OSPRay Studio OSPRay Studio Xmrig OpenVINO OSPRay Studio Intel Open Image Denoise Embree Xmrig easyWave Embree RocksDB Neural Magic DeepSparse Neural Magic DeepSparse OpenVINO Speedb Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Y-Cruncher OSPRay OpenVINO OSPRay easyWave Blender OpenSSL Neural Magic DeepSparse Neural Magic DeepSparse Y-Cruncher OpenSSL 7-Zip Compression Chaos Group V-RAY Neural Magic DeepSparse Xmrig Xmrig OpenSSL Xmrig Xmrig SVT-AV1 7-Zip Compression Blender IndigoBench Blender Blender IndigoBench Neural Magic DeepSparse SVT-AV1 Blender QuantLib nginx Neural Magic DeepSparse Redis 7.0.12 + memtier_benchmark SVT-AV1 nginx Redis 7.0.12 + memtier_benchmark Timed LLVM Compilation NAMD OpenVINO Timed Linux Kernel Compilation Timed Node.js Compilation uvg266 uvg266 OpenFOAM uvg266 GPAW LAMMPS Molecular Dynamics Simulator FFmpeg FFmpeg FFmpeg Timed FFmpeg Compilation SVT-AV1 Speedb uvg266 RocksDB Timed LLVM Compilation OpenVINO OpenVINO Neural Magic DeepSparse OpenVINO FFmpeg CloverLeaf VVenC x265 CloverLeaf OpenVINO Timed Linux Kernel Compilation Speedb Xcompact3d Incompact3d Timed Gem5 Compilation VVenC Neural Magic DeepSparse Neural Magic DeepSparse Apache IoTDB Apache IoTDB rav1e Speedb RocksDB Apache IoTDB Apache IoTDB Apache IoTDB OpenFOAM PyTorch Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse PyTorch OSPRay OpenRadioss Neural Magic DeepSparse RocksDB Apache IoTDB rav1e Apache Cassandra Quicksilver OpenVINO Apache IoTDB Apache IoTDB Kripke Apache IoTDB Apache IoTDB Apache IoTDB rav1e DuckDB Timed MrBayes Analysis Neural Magic DeepSparse Neural Magic DeepSparse Apache IoTDB rav1e Apache HTTP Server Apache IoTDB Apache IoTDB Xcompact3d Incompact3d OpenFOAM Apache IoTDB OpenFOAM Quicksilver OpenVINO Apache IoTDB DuckDB Apache IoTDB Apache IoTDB Apache IoTDB OpenVINO Apache IoTDB Apache IoTDB Apache IoTDB OpenVINO Apache IoTDB Apache IoTDB Quicksilver Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN
AMD EPYC Zen pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 256 - ResNet-50 minibude: OpenMP - BM1 minibude: OpenMP - BM2 openssl: SHA256 openssl: AES-128-GCM openssl: SHA512 openssl: AES-256-GCM openssl: ChaCha20 openssl: ChaCha20-Poly1305 quicksilver: CORAL2 P1 quicksilver: CORAL2 P2 quicksilver: CTS2 ffmpeg: libx265 - Live ffmpeg: libx265 - Platform ffmpeg: libx265 - Upload ffmpeg: libx265 - Video On Demand openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Crown svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 4K uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Ultra Fast vvenc: Bosphorus 4K - Faster rav1e: 10 rav1e: 6 uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 4K - Super Fast rav1e: 5 rav1e: 1 x265: Bosphorus 4K vvenc: Bosphorus 4K - Fast minibude: OpenMP - BM1 minibude: OpenMP - BM2 mt-dgemm: Sustained Floating-Point Rate xmrig: Wownero - 1M xmrig: CryptoNight-Femto UPX2 - 1M xmrig: CryptoNight-Heavy - 1M xmrig: KawPow - 1M xmrig: GhostRider - 1M xmrig: Monero - 1M oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only tensorflow: CPU - 16 - ResNet-50 ospray: gravity_spheres_volume/dim_512/ao/real_time ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/pathtracer/real_time ospray: particle_volume/ao/real_time ospray: particle_volume/scivis/real_time ospray: particle_volume/pathtracer/real_time deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream indigobench: CPU - Supercar indigobench: CPU - Bedroom quantlib: Multi-Threaded compress-7zip: Compression Rating compress-7zip: Decompression Rating gromacs: MPI CPU - water_GMX50_bare lammps: 20k Atoms cassandra: Writes speedb: Rand Read speedb: Read While Writing speedb: Read Rand Write Rand speedb: Update Rand rocksdb: Rand Read rocksdb: Read While Writing rocksdb: Read Rand Write Rand rocksdb: Update Rand memtier-benchmark: Redis - 100 - 1:10 memtier-benchmark: Redis - 100 - 1:5 apache-iotdb: 500 - 100 - 200 - 100 apache-iotdb: 500 - 100 - 200 - 400 apache-iotdb: 500 - 100 - 500 - 100 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 100 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 200 - 100 apache-iotdb: 800 - 100 - 200 - 400 apache-iotdb: 800 - 100 - 500 - 100 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 100 apache-iotdb: 800 - 100 - 800 - 400 nginx: 500 nginx: 1000 apache: 1000 openssl: RSA4096 kripke: openssl: RSA4096 v-ray: CPU apache-iotdb: 500 - 100 - 200 - 100 apache-iotdb: 500 - 100 - 200 - 400 apache-iotdb: 500 - 100 - 500 - 100 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 100 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 200 - 100 apache-iotdb: 800 - 100 - 200 - 400 apache-iotdb: 800 - 100 - 500 - 100 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 100 apache-iotdb: 800 - 100 - 800 - 400 namd: ATPase Simulation - 327,506 Atoms ospray-studio: 1 - 4K - 1 - Path Tracer - CPU ospray-studio: 1 - 4K - 16 - Path Tracer - CPU ospray-studio: 1 - 4K - 32 - Path Tracer - CPU ospray-studio: 3 - 4K - 1 - Path Tracer - CPU ospray-studio: 3 - 4K - 16 - Path Tracer - CPU ospray-studio: 3 - 4K - 32 - Path Tracer - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream duckdb: IMDB duckdb: TPC-H Parquet build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-llvm: Ninja build-llvm: Unix Makefiles build-nodejs: Time To Compile build-gem5: Time To Compile build-ffmpeg: Time To Compile specfem3d: Layered Halfspace specfem3d: Water-layered Halfspace specfem3d: Homogeneous Halfspace specfem3d: Mount St. Helens specfem3d: Tomographic Model openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time openfoam: drivaerFastback, Medium Mesh Size - Execution Time openradioss: Chrysler Neon 1M easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 gpaw: Carbon Nanotube cloverleaf: clover_bm64_short cloverleaf: clover_bm16 incompact3d: input.i3d 193 Cells Per Direction incompact3d: X3D-benchmarking input.i3d y-cruncher: 500M y-cruncher: 1B mrbayes: Primate Phylogeny Analysis blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Pabellon Barcelona - CPU-Only blender: Barbershop - CPU-Only Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 26.72 21.21 14.245 14.220 27056830400 97645009487 8316184170 89948428697 47920025967 30315490690 12996667 15013333 11426667 58.23 21.03 10.39 21.04 3.82 13011.10 43.91 377.40 295.80 471.38 41.32 877.49 189.05 149.49 21.8315 18.3613 67.934 70.525 26.252 3.060 22.27 27.21 6.493 6.971 2.937 8.73 23.44 2.249 0.563 14.52 3.291 356.122 355.501 3.790799 10414.7 6957.2 7081.0 6937.9 1070.1 7044.2 0.48 9.82 2.57829 2.46692 4.14841 5.28931 5.22116 98.4413 260.2496 90.6624 144.6829 10.7545 70.3395 70.5586 10.8070 9.2992 142.7964 155.7019 13.2597 131.7605 8.580 3.991 64481.7 123934 134417 1.992 13.872 152887 86867041 6145679 1436074 201555 84798204 3371876 1509184 290618 1183656.97 1142464.16 38712263 38176456 53759940 52849125 58774090 59444334 46049589 45921074 56993811 57037441 58403756 60237625 103269.83 100664.35 88038.28 4510.7 187375933 293924.1 20175 46.29 166.00 85.07 294.75 127.26 421.30 39.40 147.89 82.07 318.24 129.77 488.64 0.97959 8478 145528 280606 10050 171188 331643 2094.21 2.43 181.92 84.68 27.01 16.95 193.33 9.1 169.04 53.47 61.3934 176.4317 110.4484 1457.9155 226.9518 226.3744 1460.7041 1701.3747 111.8988 102.6582 1200.1003 121.2093 199.014 245.742 76.300 755.017 435.054 529.717 387.652 388.023 39.789 78.679904384 74.950625896 38.063179250 29.951886203 30.283593040 44.44531 126.1908 231.74446 1179.2541 499.30 148.077 352.687 142.165 108.60 971.50 37.4064191 818.054118 15.693 33.923 201.182 73.00 192.80 101.20 247.24 767.15 45.13 36.56 116.866 117.574 79857401783 528178897353 26271960547 460814853190 297915350493 208877254247 21326667 16176667 16316667 114.95 46.96 23.18 46.98 53.51 74625.61 218.07 5276.11 2902.57 2602.27 309.82 8840.41 1229.16 977.07 83.1975 67.9033 196.423 194.547 67.209 6.672 52.59 55.98 11.564 12.355 4.861 19.87 55.01 3.581 0.853 27.54 6.280 2921.653 2939.356 22.953315 39663.3 20699.5 20541.8 20720.8 4376.0 20716.5 1.84 50.27 17.2986 16.8089 19.6434 17.0993 17.0484 166.152 1444.9067 322.2813 484.7326 36.7555 219.9119 221.3018 36.9206 64.0361 484.8697 3821.9241 46.8734 696.5146 24.522 11.172 171336.6 358093 406021 31.007 251434 304542944 12947507 2577564 356602 302674440 6918267 2654286 483387 3084431.37 2901182.23 51396698 50396884 86530272 86278348 104173220 103397638 67937226 67712944 99531709 91869780 73031288 70984166 263177.49 266322.55 130116.68 25217.0 303107200 889214.2 60911 35.58 133.01 52.95 191.77 71.67 254.31 27.16 106.91 47.19 195.49 101.60 394.51 0.39175 1856 36085 65725 2196 41278 76785 595.92 0.60 146.53 11.97 10.90 12.21 103.12 7.10 51.96 32.67 22.1179 99.1066 65.9305 855.7340 145.1134 144.1447 855.9304 495.1442 65.9139 8.3560 674.2608 45.8818 125.100 178.435 41.709 307.653 173.868 261.161 160.725 217.126 18.061 30.951247 54.559168 159.57429 679.78992 297.72 38.884 109.847 63.045 57.38 497.09 20.8747749 562.359884 5.099 10.233 126.969 27.07 67.91 35.37 86.57 240.35 OpenBenchmarking.org
CPU Power Consumption Monitor OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 140 280 420 560 700 Min: 7.2 / Avg: 112.32 / Max: 180 Min: 134.19 / Avg: 579.81 / Max: 789.58
PyTorch OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1546 0.3092 0.4638 0.6184 0.773 0.687 0.043
OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.088 0.176 0.264 0.352 0.44 0.391 0.032
miniBUDE OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.2329 0.4658 0.6987 0.9316 1.1645 1.035 0.022
OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1667 0.3334 0.5001 0.6668 0.8335 0.741 0.021
OpenSSL OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA256 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 100M 200M 300M 400M 500M 476985790.76 38850033.87
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA512 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 30M 60M 90M 120M 150M 154779847.68 11909195.29
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 700M 1400M 2100M 2800M 3500M 3235378886.06 139836719.65
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 600M 1200M 1800M 2400M 3000M 2821056038.23 128846358.68
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 400M 800M 1200M 1600M 2000M 1780848824.50 69962511.27
OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 300M 600M 900M 1200M 1500M 1253276194.47 44247682.05
Quicksilver Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CTS2 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 30K 60K 90K 120K 150K 143547.53 18307.66
FFmpeg OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.4493 0.8986 1.3479 1.7972 2.2465 1.997 0.174
OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0902 0.1804 0.2706 0.3608 0.451 0.401 0.031
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 FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 12 24 36 48 60 SE +/- 0.20, N = 3 SE +/- 0.00, N = 3 53.51 3.82 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 16K 32K 48K 64K 80K SE +/- 275.21, N = 3 SE +/- 3.60, N = 3 74625.61 13011.10 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 218.07 43.91 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 1100 2200 3300 4400 5500 SE +/- 6.62, N = 3 SE +/- 0.02, N = 3 5276.11 377.40 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 SE +/- 5.14, N = 3 SE +/- 0.35, N = 3 2902.57 295.80 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 SE +/- 1.69, N = 3 SE +/- 1.63, N = 3 2602.27 471.38 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 70 140 210 280 350 SE +/- 0.68, N = 3 SE +/- 0.10, N = 3 309.82 41.32 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 2K 4K 6K 8K 10K SE +/- 14.71, N = 3 SE +/- 0.26, N = 3 8840.41 877.49 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 0.72, N = 3 SE +/- 0.70, N = 3 1229.16 189.05 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 200 400 600 800 1000 SE +/- 2.89, N = 3 SE +/- 0.14, N = 3 977.07 149.49 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
Embree OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1523 0.3046 0.4569 0.6092 0.7615 0.677 0.034
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 6 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0203 0.0406 0.0609 0.0812 0.1015 0.090 0.008
rav1e OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 5 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0146 0.0292 0.0438 0.0584 0.073 0.065 0.006
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 1 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0032 0.0064 0.0096 0.0128 0.016 0.014 0.001
x265 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0808 0.1616 0.2424 0.3232 0.404 0.359 0.028
VVenC OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0155 0.031 0.0465 0.062 0.0775 0.069 0.006
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
miniBUDE MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 SE +/- 5.71, N = 6 SE +/- 0.94, N = 3 2921.65 356.12 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 SE +/- 2.46, N = 3 SE +/- 0.27, N = 3 2939.36 355.50 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
ACES DGEMM OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0459 0.0918 0.1377 0.1836 0.2295 0.204 0.006
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 140.28 10.86
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.
OSPRay OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0234 0.0468 0.0702 0.0936 0.117 0.104 0.008
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.263 0.526 0.789 1.052 1.315 1.169 0.162
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 0.50, N = 3 SE +/- 1.56, N = 3 1444.91 260.25
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 70 140 210 280 350 SE +/- 0.25, N = 3 SE +/- 0.85, N = 6 322.28 90.66
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 100 200 300 400 500 SE +/- 0.29, N = 3 SE +/- 0.49, N = 3 484.73 144.68
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 36.76 10.75
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.36, N = 3 SE +/- 0.21, N = 3 219.91 70.34
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.29, N = 3 SE +/- 0.11, N = 3 221.30 70.56
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 36.92 10.81
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 14 28 42 56 70 SE +/- 0.1281, N = 3 SE +/- 0.0191, N = 3 64.0361 9.2992
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 100 200 300 400 500 SE +/- 0.12, N = 3 SE +/- 1.66, N = 3 484.87 142.80
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 800 1600 2400 3200 4000 SE +/- 7.35, N = 3 SE +/- 0.49, N = 3 3821.92 155.70
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 46.87 13.26
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 150 300 450 600 750 SE +/- 1.12, N = 3 SE +/- 1.27, N = 3 696.51 131.76
QuantLib QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.
7-Zip Compression OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 2960.25 214.29
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 80K 160K 240K 320K 400K SE +/- 548.98, N = 3 SE +/- 1034.27, N = 3 358093 123934 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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.
RocksDB OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Random Read Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 400K 800K 1200K 1600K 2000K 1925962.53 125079.64
OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read While Writing Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 9K 18K 27K 36K 45K 42709.95 4962.32
OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read Random Write Random Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 4K 8K 12K 16K 20K 16345.97 2244.55
OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Update Random Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 800 1600 2400 3200 4000 3799.25 502.97
Redis 7.0.12 + memtier_benchmark OpenBenchmarking.org Ops/sec Per Watt, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 5K 10K 15K 20K 25K 23505.65 1836.86
Meta Performance Per Watts OpenBenchmarking.org Performance Per Watts, More Is Better Meta Performance Per Watts Performance Per Watts Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 500 1000 1500 2000 2500 180.52 2562.10
Apache IoTDB Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 11M 22M 33M 44M 55M SE +/- 567305.29, N = 3 SE +/- 524500.20, N = 3 51396698 38712263
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 11M 22M 33M 44M 55M SE +/- 524236.55, N = 3 SE +/- 325879.11, N = 8 50396884 38176456
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 262330.46, N = 3 SE +/- 175336.13, N = 3 86530272 53759940
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 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 286751.08, N = 3 SE +/- 507374.51, N = 3 86278348 52849125
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 102156.43, N = 3 SE +/- 85534.45, N = 3 104173220 58774090
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 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 417895.46, N = 3 SE +/- 470631.65, N = 3 103397638 59444334
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 15M 30M 45M 60M 75M SE +/- 89839.93, N = 3 SE +/- 405601.66, N = 3 67937226 46049589
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 15M 30M 45M 60M 75M SE +/- 292969.25, N = 3 SE +/- 330018.02, N = 3 67712944 45921074
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 349666.50, N = 3 SE +/- 197187.95, N = 3 99531709 56993811
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 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 1905882.84, N = 12 SE +/- 596691.26, N = 5 91869780 57037441
OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 16M 32M 48M 64M 80M SE +/- 1143156.28, N = 12 SE +/- 295389.20, N = 3 73031288 58403756
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 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 15M 30M 45M 60M 75M SE +/- 878468.51, N = 3 SE +/- 138623.83, N = 3 70984166 60237625
nginx OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 1000 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 1587.79 148.96
Apache HTTP Server OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 200 400 600 800 1000 921.15 132.65
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.
Apache HTTP Server This is a test of the Apache HTTPD web server. This Apache HTTPD 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. Learn more via the OpenBenchmarking.org test page.
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 5K 10K 15K 20K 25K SE +/- 24.99, N = 3 SE +/- 8.66, N = 3 25217.0 4510.7 1. (CC) gcc options: -pthread -m64 -O3 -ldl
Kripke OpenBenchmarking.org Throughput FoM Per Watt, More Is Better Kripke 1.2.6 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 500K 1000K 1500K 2000K 2500K 2221434.65 291422.10
OpenSSL OpenBenchmarking.org verify/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 1300 2600 3900 5200 6500 5928.92 432.83
Chaos Group V-RAY OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 100 200 300 400 500 463.07 34.52
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.
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
Timed Node.js Compilation This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.
Timed Gem5 Compilation This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.
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.
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, Small Mesh Size - Mesh Time Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 10 20 30 40 50 30.95 44.45 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 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 159.57 231.74 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
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/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
easyWave The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
Zen 1 - EPYC 7601 Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 128GB, Disk: 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, 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,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126eJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security 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: Mitigation of untrained return thunk; SMT vulnerable + 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 STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 January 2024 22:07 by user phoronix.
Zen 4C - EPYC 8534PN Processor: AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
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,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security 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 Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 January 2024 13:44 by user phoronix.