2 x INTEL XEON PLATINUM 8592 testing by Michael Larabel for a future article.
Default 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: intel_pstate performance (EPP: performance) - CPU Microcode: 0x21000161Java 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: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Optimized Power Mode Processor: 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3B05.TEL4P1 BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
Intel Optimized Power Mode Xeon Platinum Benchmarks OpenBenchmarking.org Phoronix Test Suite 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads) Quanta Cloud S6Q-MB-MPS (3B05.TEL4P1 BIOS) Intel Device 1bce 1008GB 3201GB Micron_7450_MTFDKCB3T2TFS ASPEED 2 x Intel X710 for 10GBASE-T Ubuntu 23.10 6.5.0-13-generic (x86_64) GCC 13.2.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Compiler File-System Screen Resolution Intel Optimized Power Mode Xeon Platinum Benchmarks Performance 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,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 - Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x21000161 - OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10) - Python 3.11.6 - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Default vs. Optimized Power Mode Comparison Phoronix Test Suite Baseline +13.5% +13.5% +27% +27% +40.5% +40.5% +54% +54% 15% 10.7% 8.4% 4.6% 4.2% 3.7% 2.7% 2.5% 1:10 54.1% CPU - 256 - ResNet-50 41.2% CPU - 256 - ResNet-152 39.3% CPU - 64 - ResNet-152 38.5% 500 35.1% CPU - 64 - ResNet-50 33.7% motorBike - Execution Time 33.3% 1000 31.7% GET - 50 24.5% 12 - Compression Speed 22.6% CPU - 64 - Efficientnet_v2_l 20.2% GhostRider - 1M 19.4% Bosphorus 4K - Faster 19.1% Bosphorus 4K - Ultra Fast 18.3% CPU - 256 - Efficientnet_v2_l 18.3% 19 - Compression Speed 17.9% 10 - G.M.O.A.Q 16.9% e.G.B.S - 1200 16.5% 19, Long Mode - Compression Speed 15.7% Barbershop - CPU-Only Preset 12 - Bosphorus 1080p 14.4% e.G.B.S - 2400 14.4% IMDB 14.2% Bosphorus 4K - Super Fast 14.2% Bosphorus 4K - Very Fast 14.2% Create - 100 - 100000 14% 500 12.4% 19 - D.S 12.3% Preset 8 - Bosphorus 1080p 12.3% Preset 8 - Bosphorus 4K 12.2% libx265 - Live 11.5% Bosphorus 1080p - Faster 10.9% 12 - D.S 10.9% 1B 32 - 256 - 57 10.5% Bosphorus 1080p - Fast 10.3% VMAF Optimized - Bosphorus 1080p 10.1% 64 - 256 - 57 9.9% Preset 12 - Bosphorus 4K 9.9% Preset 4 - Bosphorus 4K 9.8% Preset 13 - Bosphorus 4K 9.6% Preset 13 - Bosphorus 1080p 9.4% R.O.R.S.I 9.4% Bosphorus 4K - Ultra Fast 9.4% Bosphorus 1080p - Very Fast 9.2% Bosphorus 4K - Fast 9.2% Bosphorus 1080p - Ultra Fast 8.7% Bosphorus 1080p - Super Fast 8.6% d.S.M.S - Mesh Time 19, Long Mode - D.S 8.2% P.S.O - Bosphorus 1080p 8% Time To Compile 7.5% 100 - 1000 - Read Write - Average Latency 7.2% 100 - 1000 - Read Write 7.1% V.Q.O - Bosphorus 1080p 6.9% Bosphorus 1080p - Ultra Fast 6.9% Bosphorus 4K - Very Fast 6.8% Preset 4 - Bosphorus 1080p 6.5% 1000 5.9% Unix Makefiles 5.9% TPC-H Parquet 5.8% Bosphorus 4K - Super Fast 5.7% Compression Rating 5.4% libx265 - Platform 5.2% 1:100 5.1% Bosphorus 1080p - Super Fast 5% 128 - 256 - 57 5% Bosphorus 1080p - Very Fast 4.8% SET - 500 4.8% R.5.S.I - A.M.S 4.7% R.5.S.I - A.M.S 4.7% Classroom - CPU-Only libx265 - Video On Demand 4.2% RT.ldr_alb_nrm.3840x2160 - CPU-Only libx265 - Upload 3.8% 128 - 256 - 32 A.G.R.R.0.F.I - CPU 3.6% 32 - 256 - 512 3.4% 256 - 256 - 57 3.2% defconfig 3% GET - 500 2.8% 128 - 256 - 512 A.G.R.R.0.F.I - CPU 2.5% Bumper Beam Ninja 2.5% 10 - Q01 19% 10 - Q02 40.2% 10 - Q03 19.3% 10 - Q04 13.7% 10 - Q05 39.4% 10 - Q06 26.8% 10 - Q07 22.5% 10 - Q08 30.5% 10 - Q09 23.3% 10 - Q10 18.4% 10 - Q11 33.9% 10 - Q12 26.8% 10 - Q13 15.8% 10 - Q14 13.3% 10 - Q15 8.7% 10 - Q16 13.8% 10 - Q17 3.4% 10 - Q18 10.1% 10 - Q19 12.6% 10 - Q20 19.6% 10 - Q21 17.7% 10 - Q22 10.5% Memcached PyTorch PyTorch PyTorch nginx PyTorch OpenFOAM nginx Redis Zstd Compression PyTorch Xmrig VVenC uvg266 PyTorch Zstd Compression Apache Spark TPC-H easyWave Zstd Compression Blender SVT-AV1 easyWave DuckDB uvg266 uvg266 Apache Hadoop Apache HTTP Server Zstd Compression SVT-AV1 SVT-AV1 FFmpeg VVenC Zstd Compression Y-Cruncher Liquid-DSP VVenC SVT-VP9 Liquid-DSP SVT-AV1 SVT-AV1 SVT-AV1 SVT-AV1 OpenRadioss Kvazaar uvg266 VVenC uvg266 uvg266 OpenFOAM Zstd Compression SVT-VP9 Timed GCC Compilation PostgreSQL PostgreSQL SVT-VP9 Kvazaar Kvazaar SVT-AV1 Apache HTTP Server Timed LLVM Compilation DuckDB Kvazaar 7-Zip Compression FFmpeg Memcached Kvazaar Liquid-DSP Kvazaar Redis Neural Magic DeepSparse Neural Magic DeepSparse Blender FFmpeg Intel Open Image Denoise FFmpeg Liquid-DSP OpenVINO Liquid-DSP Liquid-DSP Timed Linux Kernel Compilation Redis Liquid-DSP OpenVINO OpenRadioss Timed LLVM Compilation Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Default Optimized Power Mode
Intel Optimized Power Mode Xeon Platinum Benchmarks pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l ffmpeg: libx265 - Live ffmpeg: libx265 - Upload ffmpeg: libx265 - Platform ffmpeg: libx265 - Video On Demand openvino: Person Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU kvazaar: Bosphorus 4K - Slow kvazaar: Bosphorus 4K - Medium kvazaar: Bosphorus 1080p - Slow kvazaar: Bosphorus 1080p - Medium kvazaar: Bosphorus 4K - Very Fast kvazaar: Bosphorus 4K - Super Fast kvazaar: Bosphorus 4K - Ultra Fast kvazaar: Bosphorus 1080p - Very Fast kvazaar: Bosphorus 1080p - Super Fast svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p svt-vp9: VMAF Optimized - Bosphorus 1080p svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080p uvg266: Bosphorus 4K - Super Fast vvenc: Bosphorus 4K - Fast kvazaar: Bosphorus 1080p - Ultra Fast svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-vp9: Visual Quality Optimized - Bosphorus 1080p uvg266: Bosphorus 4K - Slow uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 1080p - Slow uvg266: Bosphorus 1080p - Medium uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Ultra Fast uvg266: Bosphorus 1080p - Very Fast uvg266: Bosphorus 1080p - Super Fast uvg266: Bosphorus 1080p - Ultra Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster xmrig: KawPow - 1M xmrig: Wownero - 1M xmrig: GhostRider - 1M xmrig: Monero - 1M xmrig: CryptoNight-Heavy - 1M xmrig: CryptoNight-Femto UPX2 - 1M oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream compress-zstd: 12 - Compression Speed compress-zstd: 12 - Decompression Speed compress-zstd: 19 - Compression Speed compress-zstd: 19 - Decompression Speed compress-zstd: 19, Long Mode - Compression Speed compress-zstd: 19, Long Mode - Decompression Speed quantlib: Multi-Threaded quantlib: Single-Threaded compress-7zip: Compression Rating compress-7zip: Decompression Rating hadoop: Create - 100 - 100000 memcached: 1:10 memcached: 1:100 redis: GET - 50 redis: SET - 50 redis: GET - 500 redis: SET - 500 nginx: 500 nginx: 1000 apache: 500 apache: 1000 liquid-dsp: 32 - 256 - 32 liquid-dsp: 32 - 256 - 57 liquid-dsp: 256 - 256 - 32 liquid-dsp: 256 - 256 - 57 liquid-dsp: 32 - 256 - 512 liquid-dsp: 64 - 256 - 512 liquid-dsp: 64 - 256 - 32 liquid-dsp: 128 - 256 - 32 liquid-dsp: 128 - 256 - 57 liquid-dsp: 128 - 256 - 512 liquid-dsp: 256 - 256 - 512 liquid-dsp: 64 - 256 - 57 pgbench: 100 - 1000 - Read Only pgbench: 100 - 1000 - Read Write pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 1000 - Read Write - Average Latency openvino: Person Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream openfoam: motorBike - Execution Time openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openradioss: Bumper Beam openradioss: Chrysler Neon 1M openradioss: Cell Phone Drop Test openradioss: Bird Strike on Windshield openradioss: Rubber O-Ring Seal Installation openradioss: INIVOL and Fluid Structure Interaction Drop Container easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 build-gcc: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-llvm: Ninja build-llvm: Unix Makefiles y-cruncher: 1B spark-tpch: 10 - Geometric Mean Of All Queries spark-tpch: 10 - Q01 spark-tpch: 10 - Q02 spark-tpch: 10 - Q03 spark-tpch: 10 - Q04 spark-tpch: 10 - Q05 spark-tpch: 10 - Q06 spark-tpch: 10 - Q07 spark-tpch: 10 - Q08 spark-tpch: 10 - Q09 spark-tpch: 10 - Q10 spark-tpch: 10 - Q11 spark-tpch: 10 - Q12 spark-tpch: 10 - Q13 spark-tpch: 10 - Q14 spark-tpch: 10 - Q15 spark-tpch: 10 - Q16 spark-tpch: 10 - Q17 spark-tpch: 10 - Q18 spark-tpch: 10 - Q19 spark-tpch: 10 - Q20 spark-tpch: 10 - Q21 spark-tpch: 10 - Q22 duckdb: IMDB duckdb: TPC-H Parquet blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Barbershop - CPU-Only qmcpack: Li2_STO_ae Default Optimized Power Mode 43.91 44.58 17.67 17.85 2.62 2.59 131.81 27.00 53.98 53.63 748.10 539.69 8930.00 24795.17 2390.25 1106.32 48795.97 10205.61 3330.19 121577.55 41.45 41.99 127.25 131.14 69.36 71.05 77.53 268.49 263.88 218.763 20.952 142.265 502.707 628.755 542.98 542.17 57.87 6.921 282.05 7.297 69.466 218.452 463.27 27.20 29.79 80.30 88.46 56.06 59.59 160.63 158.23 166.47 10.836 19.915 32.091 70383.2 75002.3 16522.5 70469.8 70573.0 69677.8 4.53 137.3439 4580.6318 1778.5945 11244.7941 834.1767 160.4064 1791.2737 862.1382 1235.4063 182.1591 1899.2223 137.3540 333.6 1422.7 19.1 1173.5 9.90 1183.8 388447.2 3650.5 689516 637311 5490 3360511.12 3441439.71 4744838.9 3060186.42 3240001.58 2503177.67 273684.71 243384.19 90823.06 80826.71 1211766667 1429100000 6185600000 5835500000 508245000 1012336667 2476033333 3611866667 4329866667 1473900000 2144566667 2810166667 893089 63962 1.124 15.634 42.72 236.70 14.32 5.15 53.51 28.85 2.45 12.51 38.41 0.40 463.0854 13.9451 35.9314 5.6732 76.5445 397.7731 35.6695 74.0722 51.7033 350.9008 33.6385 462.9932 4.13288 30.04223 23.469822 84.78 85.82 25.74 111.23 81.69 97.87 36.546 89.984 706.259 23.756 149.792 96.518 177.431 5.199 8.35919683 8.84185569 7.69811408 12.59076977 8.17697223 12.94428349 2.56617117 11.47461828 12.05303923 17.56128820 11.87912210 5.99766175 7.93393326 5.64402056 5.77844492 4.24561580 4.97244104 12.60073821 12.89416568 5.09458462 8.56171989 26.48187955 4.49565951 121.967 148.55 12.89 34.94 149.49 94.384 32.83 31.58 12.76 12.81 2.18 2.19 118.24 26.02 51.31 51.45 750.43 538.20 8943.88 24922.40 2392.38 1100.76 49494.06 10168.06 3297.81 117369.55 41.13 41.69 125.18 130.64 64.97 67.21 70.87 256.19 251.33 199.549 19.669 126.697 439.477 574.599 493.26 502.05 50.68 6.340 263.96 6.645 61.914 198.742 433.53 26.71 29.62 78.93 86.78 49.10 50.36 147.08 145.75 153.17 9.096 18.053 28.926 69196.7 75701.7 13832.4 70298.8 70338.6 69847.9 4.72 138.0114 4590.3375 1768.9108 10738.1352 834.2706 162.5895 1776.5252 863.3474 1237.0257 183.7104 1883.6573 138.1497 272.2 1282.7 16.2 1044.6 8.56 1094.2 391468.4 3641.4 654459 638136 4814 2180648.21 3274425.32 3811819.50 3050498.00 3152359.75 2389636.67 202507.42 184861.99 80817.73 76315.65 1204500000 1293333333 6301483333 5656600000 491426667 999663333 2460866667 3745233333 4125000000 1513466667 2141000000 2556573333 878468 59695 1.141 16.752 42.59 237.36 14.30 5.13 53.45 28.99 2.42 12.55 38.79 0.41 461.1469 13.9095 36.1286 5.9385 76.5042 392.4515 35.9561 73.9896 51.6176 346.7411 33.9032 460.6851 5.50897 27.70873 23.348833 82.73 86.30 25.37 111.73 89.37 98.49 42.559 102.928 759.216 24.476 151.276 98.905 187.837 4.697 9.77304127 10.52531964 10.79421711 15.01887308 9.29476929 18.04154778 3.25317642 14.05770493 15.72322082 21.65995761 14.06280640 8.03043699 10.05769416 6.53481947 6.54833514 4.61490004 5.65648528 13.02843149 14.19987583 5.73738200 10.24267319 31.16119112 4.96957016 139.326 157.101 12.67 33.40 129.94 92.672 OpenBenchmarking.org
CPU Peak Freq (Highest CPU Core Frequency) Monitor OpenBenchmarking.org Megahertz CPU Peak Freq (Highest CPU Core Frequency) Monitor Phoronix Test Suite System Monitoring Optimized Power Mode Default 1000 2000 3000 4000 5000 Min: 800 / Avg: 3437 / Max: 5154 Min: 500 / Avg: 3374.53 / Max: 5474
CPU Power Consumption Monitor OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring Default Optimized Power Mode 140 280 420 560 700 Min: 101.15 / Avg: 445.93 / Max: 802.3 Min: 88.73 / Avg: 366.23 / Max: 802.53
PyTorch OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 Optimized Power Mode Default 0.0191 0.0382 0.0573 0.0764 0.0955 0.082 0.085
OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 Optimized Power Mode Default 0.0191 0.0382 0.0573 0.0764 0.0955 0.079 0.085
OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 Optimized Power Mode Default 0.0072 0.0144 0.0216 0.0288 0.036 0.030 0.032
FFmpeg OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand Default Optimized Power Mode 0.0531 0.1062 0.1593 0.2124 0.2655 0.169 0.236
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: Person Detection FP16 - Device: CPU Default Optimized Power Mode 160 320 480 640 800 SE +/- 0.71, N = 3 SE +/- 0.90, N = 3 748.10 750.43 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 FP16-INT8 - Device: CPU Optimized Power Mode Default 120 240 360 480 600 SE +/- 1.35, N = 3 SE +/- 0.65, N = 3 538.20 539.69 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 Default Optimized Power Mode 2K 4K 6K 8K 10K SE +/- 5.30, N = 3 SE +/- 4.32, N = 3 8930.00 8943.88 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 Default Optimized Power Mode 5K 10K 15K 20K 25K SE +/- 42.09, N = 3 SE +/- 6.86, N = 3 24795.17 24922.40 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: Road Segmentation ADAS FP16-INT8 - Device: CPU Default Optimized Power Mode 500 1000 1500 2000 2500 SE +/- 3.42, N = 3 SE +/- 7.16, N = 3 2390.25 2392.38 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 Optimized Power Mode Default 200 400 600 800 1000 SE +/- 3.05, N = 3 SE +/- 9.12, N = 3 1100.76 1106.32 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: Weld Porosity Detection FP16-INT8 - Device: CPU Default Optimized Power Mode 11K 22K 33K 44K 55K SE +/- 490.25, N = 3 SE +/- 229.19, N = 3 48795.97 49494.06 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 Optimized Power Mode Default 2K 4K 6K 8K 10K SE +/- 6.61, N = 3 SE +/- 7.22, N = 3 10168.06 10205.61 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 Optimized Power Mode Default 700 1400 2100 2800 3500 SE +/- 6.73, N = 3 SE +/- 7.06, N = 3 3297.81 3330.19 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 Optimized Power Mode Default 30K 60K 90K 120K 150K SE +/- 1361.46, N = 3 SE +/- 775.18, N = 3 117369.55 121577.55 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
Kvazaar OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow Default Optimized Power Mode 0.0182 0.0364 0.0546 0.0728 0.091 0.077 0.081
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Default Optimized Power Mode 0.0189 0.0378 0.0567 0.0756 0.0945 0.078 0.084
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow Default Optimized Power Mode 0.0981 0.1962 0.2943 0.3924 0.4905 0.360 0.436
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium Default Optimized Power Mode 0.1013 0.2026 0.3039 0.4052 0.5065 0.372 0.450
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Default Optimized Power Mode 0.0394 0.0788 0.1182 0.1576 0.197 0.164 0.175
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Default Optimized Power Mode 0.0439 0.0878 0.1317 0.1756 0.2195 0.178 0.195
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Default Optimized Power Mode 0.0524 0.1048 0.1572 0.2096 0.262 0.213 0.233
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast Default Optimized Power Mode 0.2156 0.4312 0.6468 0.8624 1.078 0.925 0.958
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast Default Optimized Power Mode 0.2228 0.4456 0.6684 0.8912 1.114 0.94 0.99
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Default Optimized Power Mode 0.2502 0.5004 0.7506 1.0008 1.251 1.051 1.112
SVT-AV1 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Default Optimized Power Mode 0.0056 0.0112 0.0168 0.0224 0.028 0.020 0.025
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Default Optimized Power Mode 0.0506 0.1012 0.1518 0.2024 0.253 0.192 0.225
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Default Optimized Power Mode 0.2018 0.4036 0.6054 0.8072 1.009 0.808 0.897
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Default Optimized Power Mode 0.2018 0.4036 0.6054 0.8072 1.009 0.820 0.897
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Default Optimized Power Mode 0.0194 0.0388 0.0582 0.0776 0.097 0.068 0.086
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Default Optimized Power Mode 0.1262 0.2524 0.3786 0.5048 0.631 0.478 0.561
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Default Optimized Power Mode 0.4856 0.9712 1.4568 1.9424 2.428 2.042 2.158
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Default Optimized Power Mode 0.639 1.278 1.917 2.556 3.195 2.64 2.84
SVT-VP9 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Default Optimized Power Mode 0.5119 1.0238 1.5357 2.0476 2.5595 2.003 2.275
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Default Optimized Power Mode 0.5146 1.0292 1.5438 2.0584 2.573 1.999 2.287
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Default Optimized Power Mode 0.4379 0.8758 1.3137 1.7516 2.1895 1.666 1.946
uvg266 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Slow Default Optimized Power Mode 0.0115 0.023 0.0345 0.046 0.0575 0.048 0.051
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Default Optimized Power Mode 0.0131 0.0262 0.0393 0.0524 0.0655 0.054 0.058
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Slow Default Optimized Power Mode 0.0513 0.1026 0.1539 0.2052 0.2565 0.208 0.228
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium Default Optimized Power Mode 0.0578 0.1156 0.1734 0.2312 0.289 0.236 0.257
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Default Optimized Power Mode 0.0302 0.0604 0.0906 0.1208 0.151 0.125 0.134
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Default Optimized Power Mode 0.0324 0.0648 0.0972 0.1296 0.162 0.131 0.144
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
uvg266 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Default Optimized Power Mode 0.0358 0.0716 0.1074 0.1432 0.179 0.145 0.159
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast Default Optimized Power Mode 0.1231 0.2462 0.3693 0.4924 0.6155 0.526 0.547
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
Default: The test quit with a non-zero exit status.
Optimized Power Mode: The test quit with a non-zero exit status.
uvg266 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast Default Optimized Power Mode 0.1204 0.2408 0.3612 0.4816 0.602 0.526 0.535
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Default Optimized Power Mode 0.1325 0.265 0.3975 0.53 0.6625 0.566 0.589
VVenC OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Default Optimized Power Mode 0.0047 0.0094 0.0141 0.0188 0.0235 0.017 0.021
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Default Optimized Power Mode 0.007 0.014 0.021 0.028 0.035 0.027 0.031
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Default Optimized Power Mode 0.0151 0.0302 0.0453 0.0604 0.0755 0.053 0.067
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 VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Default Optimized Power Mode 0.0259 0.0518 0.0777 0.1036 0.1295 0.092 0.115
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
Tuning: VMAF Optimized - Input: Bosphorus 4K
Default: The test quit with a non-zero exit status.
Optimized Power Mode: The test quit with a non-zero exit status.
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
Default: The test quit with a non-zero exit status.
Optimized Power Mode: The test quit with a non-zero exit status.
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 H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M Default Optimized Power Mode 30 60 90 120 150 126.16 131.15
OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M Default Optimized Power Mode 30 60 90 120 150 123.55 130.14
Intel Open Image Denoise OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Default Optimized Power Mode 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01
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 Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Default Optimized Power Mode 30 60 90 120 150 SE +/- 0.21, N = 3 SE +/- 0.12, N = 3 137.34 138.01
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 Default Optimized Power Mode 1000 2000 3000 4000 5000 SE +/- 6.99, N = 3 SE +/- 2.64, N = 3 4580.63 4590.34
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream Default Optimized Power Mode 40 80 120 160 200 SE +/- 1.36, N = 3 SE +/- 0.33, N = 3 160.41 162.59
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Optimized Power Mode Default 400 800 1200 1600 2000 SE +/- 3.31, N = 3 SE +/- 7.80, N = 3 1776.53 1791.27
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream Default Optimized Power Mode 200 400 600 800 1000 SE +/- 0.30, N = 3 SE +/- 0.10, N = 3 862.14 863.35
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Default Optimized Power Mode 300 600 900 1200 1500 SE +/- 1.85, N = 3 SE +/- 2.51, N = 3 1235.41 1237.03
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream Default Optimized Power Mode 40 80 120 160 200 SE +/- 0.43, N = 3 SE +/- 0.02, N = 3 182.16 183.71
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream Optimized Power Mode Default 400 800 1200 1600 2000 SE +/- 0.88, N = 3 SE +/- 1.67, N = 3 1883.66 1899.22
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream Default Optimized Power Mode 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.30, N = 3 137.35 138.15
Zstd Compression OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed Default Optimized Power Mode 2 4 6 8 10 4.516 6.105
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed Default Optimized Power Mode 1.1968 2.3936 3.5904 4.7872 5.984 3.953 5.319
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed Optimized Power Mode Default 70 140 210 280 350 SE +/- 2.98, N = 5 SE +/- 3.46, N = 3 272.2 333.6 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed Optimized Power Mode Default 5 10 15 20 25 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 16.2 19.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed Default Optimized Power Mode 1.3019 2.6038 3.9057 5.2076 6.5095 4.121 5.786
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed Optimized Power Mode Default 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 8.56 9.90 1. (CC) gcc options: -O3 -pthread -lz -llzma
QuantLib Min Avg Max Default 800 2684 3904 Optimized Power Mode 800 2735 3906 OpenBenchmarking.org Megahertz, More Is Better QuantLib 1.32 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3665 3905 Optimized Power Mode 800 3783 3903 OpenBenchmarking.org Megahertz, More Is Better QuantLib 1.32 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
QMCPACK Min Avg Max Optimized Power Mode 800 2739 3907 Default 800 2760 3909 OpenBenchmarking.org Megahertz, More Is Better QMCPACK 3.17.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
OpenFOAM Min Avg Max Default 800 3575 3908 Optimized Power Mode 3889 3900 3908 OpenBenchmarking.org Megahertz, More Is Better OpenFOAM 10 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3067 3910 Optimized Power Mode 2800 3121 3907 OpenBenchmarking.org Megahertz, More Is Better OpenFOAM 10 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
OpenRadioss Min Avg Max Optimized Power Mode 800 2930 3906 Default 800 2945 3911 OpenBenchmarking.org Megahertz, More Is Better OpenRadioss 2023.09.15 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3138 3908 Optimized Power Mode 800 3153 3907 OpenBenchmarking.org Megahertz, More Is Better OpenRadioss 2023.09.15 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3180 3905 Optimized Power Mode 800 3240 3906 OpenBenchmarking.org Megahertz, More Is Better OpenRadioss 2023.09.15 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2924 3915 Optimized Power Mode 800 2952 3907 OpenBenchmarking.org Megahertz, More Is Better OpenRadioss 2023.09.15 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 2975 3906 Default 800 2994 3905 OpenBenchmarking.org Megahertz, More Is Better OpenRadioss 2023.09.15 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2993 3905 Optimized Power Mode 800 3024 3907 OpenBenchmarking.org Megahertz, More Is Better OpenRadioss 2023.09.15 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
easyWave Min Avg Max Optimized Power Mode 800 3450 3907 Default 800 3469 3908 OpenBenchmarking.org Megahertz, More Is Better easyWave r34 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
OpenBenchmarking.org Megahertz, More Is Better easyWave r34 CPU Peak Freq (Highest CPU Core Frequency) Monitor Default Optimized Power Mode 700 1400 2100 2800 3500 Min: 800 / Avg: 3436.05 / Max: 3906 Min: 800 / Avg: 3485.76 / Max: 3906
7-Zip Compression Min Avg Max Default 800 2940 3908 Optimized Power Mode 800 3006 3909 OpenBenchmarking.org Megahertz, More Is Better 7-Zip Compression 22.01 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Timed GCC Compilation OpenBenchmarking.org Megahertz, More Is Better Timed GCC Compilation 13.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor Default Optimized Power Mode 700 1400 2100 2800 3500 Min: 800 / Avg: 3844.27 / Max: 3932 Min: 800 / Avg: 3848.62 / Max: 3914
Timed Linux Kernel Compilation Min Avg Max Default 800 3454 3911 Optimized Power Mode 800 3491 3908 OpenBenchmarking.org Megahertz, More Is Better Timed Linux Kernel Compilation 6.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 3066 3911 Default 800 3066 3911 OpenBenchmarking.org Megahertz, More Is Better Timed Linux Kernel Compilation 6.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Timed LLVM Compilation Min Avg Max Optimized Power Mode 800 3318 3908 Default 2491 3324 3908 OpenBenchmarking.org Megahertz, More Is Better Timed LLVM Compilation 16.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3701 3918 Optimized Power Mode 800 3709 3912 OpenBenchmarking.org Megahertz, More Is Better Timed LLVM Compilation 16.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Y-Cruncher Min Avg Max Default 800 3136 3912 Optimized Power Mode 800 3235 3905 OpenBenchmarking.org Megahertz, More Is Better Y-Cruncher 0.8.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Liquid-DSP Min Avg Max Default 800 3759 3905 Optimized Power Mode 800 3860 3906 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3607 3906 Optimized Power Mode 800 3776 3906 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3686 3907 Optimized Power Mode 800 3745 3905 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 3809 3907 Default 800 3843 3905 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2897 3906 Optimized Power Mode 800 2931 3903 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 2863 3903 Default 800 2956 3904 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2824 3908 Optimized Power Mode 800 2944 3905 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2589 3900 Optimized Power Mode 800 2931 3904 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3774 3908 Optimized Power Mode 800 3841 3911 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3732 3907 Optimized Power Mode 800 3797 3906 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2905 3905 Optimized Power Mode 800 2914 3906 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2610 3904 Optimized Power Mode 800 2748 3907 OpenBenchmarking.org Megahertz, More Is Better Liquid-DSP 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Apache Spark TPC-H OpenBenchmarking.org Megahertz, More Is Better Apache Spark TPC-H 3.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor Optimized Power Mode Default 1000 2000 3000 4000 5000 Min: 800 / Avg: 3833.92 / Max: 4663 Min: 800 / Avg: 3836.91 / Max: 5474
Memcached Min Avg Max Default 800 2908 3906 Optimized Power Mode 800 2925 3905 OpenBenchmarking.org Megahertz, More Is Better Memcached 1.6.19 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2891 3910 Optimized Power Mode 800 2908 3905 OpenBenchmarking.org Megahertz, More Is Better Memcached 1.6.19 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Redis Min Avg Max Default 800 3706 3905 Optimized Power Mode 800 3756 3906 OpenBenchmarking.org Megahertz, More Is Better Redis 7.0.4 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3554 3904 Optimized Power Mode 800 3625 3904 OpenBenchmarking.org Megahertz, More Is Better Redis 7.0.4 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3249 3907 Optimized Power Mode 800 3332 3903 OpenBenchmarking.org Megahertz, More Is Better Redis 7.0.4 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 3205 3905 Default 800 3349 3905 OpenBenchmarking.org Megahertz, More Is Better Redis 7.0.4 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
DuckDB Min Avg Max Optimized Power Mode 800 3863 3920 Default 800 3873 3927 OpenBenchmarking.org Megahertz, More Is Better DuckDB 0.9.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3877 3921 Optimized Power Mode 800 3881 3918 OpenBenchmarking.org Megahertz, More Is Better DuckDB 0.9.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
PostgreSQL OpenBenchmarking.org Megahertz, More Is Better PostgreSQL 16 CPU Peak Freq (Highest CPU Core Frequency) Monitor Optimized Power Mode Default 700 1400 2100 2800 3500 Min: 800 / Avg: 2988.27 / Max: 3921 Min: 800 / Avg: 3000.4 / Max: 3925
Min Avg Max Default 800 2981 3910 Optimized Power Mode 800 2996 3906 OpenBenchmarking.org Megahertz, More Is Better PostgreSQL 16 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Neural Magic DeepSparse Min Avg Max Default 800 2616 3905 Optimized Power Mode 800 2682 3914 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 2994 3907 Default 800 3015 3909 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Xeon Platinun 8592+ 800 2761 3910 Default 800 2835 3928 Optimized Power Mode 800 2840 3914 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2851 3905 Optimized Power Mode 800 2871 3907 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2455 3905 Optimized Power Mode 800 2537 3904 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3150 3907 Optimized Power Mode 800 3244 3908 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2444 3904 Optimized Power Mode 800 2495 3907 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2630 3909 Optimized Power Mode 800 2879 3908 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 2844 3907 Default 800 2875 3907 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2949 3905 Optimized Power Mode 800 2954 3926 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2593 3909 Optimized Power Mode 800 2652 3911 OpenBenchmarking.org Megahertz, More Is Better Neural Magic DeepSparse 1.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Blender Min Avg Max Default 800 2818 3905 Optimized Power Mode 800 2957 3909 OpenBenchmarking.org Megahertz, More Is Better Blender 4.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 2696 3906 Default 800 2728 3905 OpenBenchmarking.org Megahertz, More Is Better Blender 4.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
OpenBenchmarking.org Megahertz, More Is Better Blender 4.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor Default Optimized Power Mode 700 1400 2100 2800 3500 Min: 500 / Avg: 2658.65 / Max: 3908 Min: 800 / Avg: 2769.56 / Max: 3909
OpenVINO Min Avg Max Default 800 2601 3905 Optimized Power Mode 800 2864 3906 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2706 3904 Optimized Power Mode 800 2792 3907 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 2408 3907 Default 800 2438 3911 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2455 3908 Optimized Power Mode 800 2504 3910 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2528 3908 Optimized Power Mode 800 2555 3906 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2696 3904 Optimized Power Mode 800 2953 3906 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2340 3905 Optimized Power Mode 800 2407 3907 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2492 3908 Optimized Power Mode 800 2562 3921 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2942 3912 Optimized Power Mode 800 2957 3906 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 3168 3907 Optimized Power Mode 800 3258 3905 OpenBenchmarking.org Megahertz, More Is Better OpenVINO 2023.2.dev CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Apache Hadoop Min Avg Max Optimized Power Mode 800 3480 3907 Default 800 3572 3911 OpenBenchmarking.org Megahertz, More Is Better Apache Hadoop 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
nginx Min Avg Max Default 800 2903 3904 Optimized Power Mode 800 2925 3905 OpenBenchmarking.org Megahertz, More Is Better nginx 1.23.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Default 800 2869 3905 Optimized Power Mode 800 2966 3907 OpenBenchmarking.org Megahertz, More Is Better nginx 1.23.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Apache HTTP Server Min Avg Max Optimized Power Mode 800 2889 3907 Default 800 2890 3905 OpenBenchmarking.org Megahertz, More Is Better Apache HTTP Server 2.4.56 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max Optimized Power Mode 800 2863 3903 Default 800 2953 3906 OpenBenchmarking.org Megahertz, More Is Better Apache HTTP Server 2.4.56 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
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.
OpenBenchmarking.org MFLOPS Per Watt, More Is Better QuantLib 1.32 Configuration: Single-Threaded Default Optimized Power Mode 5 10 15 20 25 18.03 20.00
7-Zip Compression OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Default Optimized Power Mode 200 400 600 800 1000 1062.10 1145.35
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating Optimized Power Mode Default 150K 300K 450K 600K 750K SE +/- 1440.87, N = 3 SE +/- 869.44, N = 3 654459 689516 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Memcached OpenBenchmarking.org Ops/sec Per Watt, More Is Better Memcached 1.6.19 Set To Get Ratio: 1:100 Default Optimized Power Mode 1500 3000 4500 6000 7500 6692.76 6801.69
Redis OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 7.0.4 Test: GET - Parallel Connections: 50 Default Optimized Power Mode 4K 8K 12K 16K 20K 18984.61 20690.41
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 7.0.4 Test: SET - Parallel Connections: 50 Default Optimized Power Mode 4K 8K 12K 16K 20K 11959.07 16432.18
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 7.0.4 Test: GET - Parallel Connections: 500 Default Optimized Power Mode 2K 4K 6K 8K 10K 9025.17 10408.05
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 7.0.4 Test: SET - Parallel Connections: 500 Default Optimized Power Mode 1400 2800 4200 5600 7000 6160.26 6737.20
nginx OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 500 Optimized Power Mode Default 100 200 300 400 500 429.69 449.51
OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 1000 Default Optimized Power Mode 90 180 270 360 450 389.82 395.64
Apache HTTP Server OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 500 Default Optimized Power Mode 60 120 180 240 300 216.64 266.08
Apache HTTP Server OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Default Optimized Power Mode 60 120 180 240 300 208.91 262.58
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.
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 32 Default Optimized Power Mode 1.1M 2.2M 3.3M 4.4M 5.5M 4283633.39 5140098.56
OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 57 Default Optimized Power Mode 1000K 2000K 3000K 4000K 5000K 4449269.38 4774859.27
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 TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only Optimized Power Mode Default 200K 400K 600K 800K 1000K SE +/- 11877.48, N = 12 SE +/- 17460.42, N = 10 878468 893089 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write Optimized Power Mode Default 14K 28K 42K 56K 70K SE +/- 214.64, N = 3 SE +/- 70.87, N = 3 59695 63962 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Optimized Power Mode Default 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 35.96 35.67
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 Default Optimized Power Mode 7 14 21 28 35 30.04 27.71 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -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.
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.
Apache Spark TPC-H This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Geometric Mean Of All Queries Optimized Power Mode Default 3 6 9 12 15 SE +/- 0.09145601, N = 7 SE +/- 0.07178690, N = 3 9.77304127 8.35919683 MIN: 4.46 / MAX: 32.81 MIN: 4.15 / MAX: 27.27 10Q01
10Q02
10Q03
10Q04
10Q05
10Q06
10Q07
10Q08
10Q09
10Q10
10Q11
10Q12
10Q13
10Q14
10Q15
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q15 Optimized Power Mode Default 1.0384 2.0768 3.1152 4.1536 5.192 SE +/- 0.07270001, N = 7 SE +/- 0.05108329, N = 3 4.61490004 4.24561580 10Q16
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q16 Optimized Power Mode Default 1.2727 2.5454 3.8181 5.0908 6.3635 SE +/- 0.10743013, N = 7 SE +/- 0.28343850, N = 3 5.65648528 4.97244104 10Q17
10Q18
10Q19
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q19 Optimized Power Mode Default 1.2909 2.5818 3.8727 5.1636 6.4545 SE +/- 0.14465657, N = 7 SE +/- 0.17083033, N = 3 5.73738200 5.09458462 10Q20
10Q21
10Q22
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q22 Optimized Power Mode Default 1.1182 2.2364 3.3546 4.4728 5.591 SE +/- 0.13159559, N = 7 SE +/- 0.16829529, N = 3 4.96957016 4.49565951 CPU Peak Freq (Highest CPU Core Frequency
OpenBenchmarking.org Megahertz, More Is Better Apache Spark TPC-H 3.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor Optimized Power Mode Default 1000 2000 3000 4000 5000 Min: 800 / Avg: 3833.92 / Max: 4663 Min: 800 / Avg: 3836.91 / Max: 5474 CPU Power Consumption
Min Avg Max Default 145.9 378.9 600.0 Optimized Power Mode 92.8 308.2 608.0 OpenBenchmarking.org Watts, Fewer Is Better Apache Spark TPC-H 3.5 CPU Power Consumption Monitor 160 320 480 640 800 1. Default: Approximate power consumption of 99525 Joules per run. 2. Optimized Power Mode: Approximate power consumption of 87523 Joules per run.
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.
QMCPACK QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.
Default 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: intel_pstate performance (EPP: performance) - CPU Microcode: 0x21000161Java 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: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 14 December 2023 16:53 by user phoronix.
Optimized Power Mode Processor: 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3B05.TEL4P1 BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), 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: intel_pstate performance (EPP: performance) - CPU Microcode: 0x21000161Java 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: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 15 December 2023 10:44 by user phoronix.