Intel Optimized Power Mode Xeon Platinum Benchmarks

2 x INTEL XEON PLATINUM 8592 testing by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2312153-NE-XEONEMRPO30&sor&gru.

Intel Optimized Power Mode Xeon Platinum BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionDefaultOptimized Power Mode2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads)Quanta Cloud S6Q-MB-MPS (3B05.TEL4P1 BIOS)Intel Device 1bce1008GB3201GB Micron_7450_MTFDKCB3T2TFSASPEED2 x Intel X710 for 10GBASE-TUbuntu 23.106.5.0-13-generic (x86_64)GCC 13.2.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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- Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x21000161 Java Details- OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Details- Python 3.11.6Security Details- 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

Intel Optimized Power Mode Xeon Platinum Benchmarkspytorch: CPU - 64 - ResNet-50pytorch: CPU - 256 - ResNet-50pytorch: CPU - 64 - ResNet-152pytorch: CPU - 256 - ResNet-152pytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 256 - Efficientnet_v2_lffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080puvg266: Bosphorus 4K - Super Fastvvenc: Bosphorus 4K - Fastkvazaar: Bosphorus 1080p - Ultra Fastsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080puvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 1080p - Slowuvg266: Bosphorus 1080p - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Ultra Fastuvg266: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 1080p - Ultra Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fasterxmrig: KawPow - 1Mxmrig: Wownero - 1Mxmrig: GhostRider - 1Mxmrig: Monero - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: CryptoNight-Femto UPX2 - 1Moidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlydeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedquantlib: Multi-Threadedquantlib: Single-Threadedcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratinghadoop: Create - 100 - 100000memcached: 1:10memcached: 1:100redis: GET - 50redis: SET - 50redis: GET - 500redis: SET - 500nginx: 500nginx: 1000apache: 500apache: 1000liquid-dsp: 32 - 256 - 32liquid-dsp: 32 - 256 - 57liquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 32 - 256 - 512liquid-dsp: 64 - 256 - 512liquid-dsp: 64 - 256 - 32liquid-dsp: 128 - 256 - 32liquid-dsp: 128 - 256 - 57liquid-dsp: 128 - 256 - 512liquid-dsp: 256 - 256 - 512liquid-dsp: 64 - 256 - 57pgbench: 100 - 1000 - Read Onlypgbench: 100 - 1000 - Read Writepgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 1000 - Read Write - Average Latencyopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamopenfoam: motorBike - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenradioss: Bumper Beamopenradioss: Chrysler Neon 1Mopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containereasywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400build-gcc: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesy-cruncher: 1Bspark-tpch: 10 - Geometric Mean Of All Queriesspark-tpch: 10 - Q01spark-tpch: 10 - Q02spark-tpch: 10 - Q03spark-tpch: 10 - Q04spark-tpch: 10 - Q05spark-tpch: 10 - Q06spark-tpch: 10 - Q07spark-tpch: 10 - Q08spark-tpch: 10 - Q09spark-tpch: 10 - Q10spark-tpch: 10 - Q11spark-tpch: 10 - Q12spark-tpch: 10 - Q13spark-tpch: 10 - Q14spark-tpch: 10 - Q15spark-tpch: 10 - Q16spark-tpch: 10 - Q17spark-tpch: 10 - Q18spark-tpch: 10 - Q19spark-tpch: 10 - Q20spark-tpch: 10 - Q21spark-tpch: 10 - Q22duckdb: IMDBduckdb: TPC-H Parquetblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Barbershop - CPU-Onlyqmcpack: Li2_STO_aeDefaultOptimized Power Mode43.9144.5817.6717.852.622.59131.8127.0053.9853.63748.10539.698930.0024795.172390.251106.3248795.9710205.613330.19121577.5541.4541.99127.25131.1469.3671.0577.53268.49263.88218.76320.952142.265502.707628.755542.98542.1757.876.921282.057.29769.466218.452463.2727.2029.7980.3088.4656.0659.59160.63158.23166.4710.83619.91532.09170383.275002.316522.570469.870573.069677.84.53137.34394580.63181778.594511244.7941834.1767160.40641791.2737862.13821235.4063182.15911899.2223137.3540333.61422.719.11173.59.901183.8388447.23650.568951663731154903360511.123441439.714744838.93060186.423240001.582503177.67273684.71243384.1990823.0680826.7112117666671429100000618560000058355000005082450001012336667247603333336118666674329866667147390000021445666672810166667893089639621.12415.63442.72236.7014.325.1553.5128.852.4512.5138.410.40463.085413.945135.93145.673276.5445397.773135.669574.072251.7033350.900833.6385462.99324.1328830.0422323.46982284.7885.8225.74111.2381.6997.8736.54689.984706.25923.756149.79296.518177.4315.1998.359196838.841855697.6981140812.590769778.1769722312.944283492.5661711711.4746182812.0530392317.5612882011.879122105.997661757.933933265.644020565.778444924.245615804.9724410412.6007382112.894165685.094584628.5617198926.481879554.49565951121.967148.5512.8934.94149.4994.38432.8331.5812.7612.812.182.19118.2426.0251.3151.45750.43538.208943.8824922.402392.381100.7649494.0610168.063297.81117369.5541.1341.69125.18130.6464.9767.2170.87256.19251.33199.54919.669126.697439.477574.599493.26502.0550.686.340263.966.64561.914198.742433.5326.7129.6278.9386.7849.1050.36147.08145.75153.179.09618.05328.92669196.775701.713832.470298.870338.669847.94.72138.01144590.33751768.910810738.1352834.2706162.58951776.5252863.34741237.0257183.71041883.6573138.1497272.21282.716.21044.68.561094.2391468.43641.465445963813648142180648.213274425.323811819.503050498.003152359.752389636.67202507.42184861.9980817.7376315.651204500000129333333363014833335656600000491426667999663333246086666737452333334125000000151346666721410000002556573333878468596951.14116.75242.59237.3614.305.1353.4528.992.4212.5538.790.41461.146913.909536.12865.938576.5042392.451535.956173.989651.6176346.741133.9032460.68515.5089727.7087323.34883382.7386.3025.37111.7389.3798.4942.559102.928759.21624.476151.27698.905187.8374.6979.7730412710.5253196410.7942171115.018873089.2947692918.041547783.2531764214.0577049315.7232208221.6599576114.062806408.0304369910.057694166.534819476.548335144.614900045.6564852813.0284314914.199875835.7373820010.2426731931.161191124.96957016139.326157.10112.6733.40129.9492.672OpenBenchmarking.org

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringDefaultOptimized Power Mode10002000300040005000Min: 500 / Avg: 3374.53 / Max: 5474Min: 800 / Avg: 3437 / Max: 5154

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringOptimized Power ModeDefault140280420560700Min: 88.73 / Avg: 366.23 / Max: 802.53Min: 101.15 / Avg: 445.93 / Max: 802.3

PyTorch

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

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50DefaultOptimized Power Mode0.01910.03820.05730.07640.09550.0850.082

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50DefaultOptimized Power Mode0.01910.03820.05730.07640.09550.0850.079

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152DefaultOptimized Power Mode0.00720.01440.02160.02880.0360.0320.030

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50DefaultOptimized Power Mode1020304050SE +/- 0.55, N = 4SE +/- 0.39, N = 343.9132.83MIN: 17.29 / MAX: 46.23MIN: 15.85 / MAX: 36.48

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50DefaultOptimized Power Mode1020304050SE +/- 0.51, N = 4SE +/- 0.02, N = 344.5831.58MIN: 19.44 / MAX: 46.72MIN: 14.91 / MAX: 34.67

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152DefaultOptimized Power Mode48121620SE +/- 0.23, N = 3SE +/- 0.12, N = 1217.6712.76MIN: 10.89 / MAX: 18.38MIN: 5.75 / MAX: 15.71

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152DefaultOptimized Power Mode48121620SE +/- 0.13, N = 11SE +/- 0.17, N = 317.8512.81MIN: 7.02 / MAX: 19.19MIN: 6.6 / MAX: 13.9

PyTorch

Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lDefaultOptimized Power Mode0.58951.1791.76852.3582.9475SE +/- 0.02, N = 3SE +/- 0.02, N = 32.622.18MIN: 1.32 / MAX: 3.9MIN: 0.98 / MAX: 3.41

PyTorch

Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lDefaultOptimized Power Mode0.58281.16561.74842.33122.914SE +/- 0.00, N = 3SE +/- 0.02, N = 32.592.19MIN: 1.19 / MAX: 4MIN: 0.98 / MAX: 3.3

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152DefaultOptimized Power Mode0.00720.01440.02160.02880.0360.0320.030

PyTorch

Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lOptimized Power ModeDefault0.00160.00320.00480.00640.0080.0070.007

PyTorch

Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lOptimized Power ModeDefault0.00160.00320.00480.00640.0080.0070.006

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandOptimized Power ModeDefault0.05310.10620.15930.21240.26550.2360.169

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveDefaultOptimized Power Mode306090120150SE +/- 1.03, N = 3SE +/- 0.79, N = 3131.81118.241. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadDefaultOptimized Power Mode612182430SE +/- 0.06, N = 3SE +/- 0.06, N = 327.0026.021. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformDefaultOptimized Power Mode1224364860SE +/- 0.11, N = 3SE +/- 0.14, N = 353.9851.311. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandDefaultOptimized Power Mode1224364860SE +/- 0.04, N = 3SE +/- 0.10, N = 353.6351.451. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUOptimized Power ModeDefault160320480640800SE +/- 0.90, N = 3SE +/- 0.71, N = 3750.43748.101. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUDefaultOptimized Power Mode120240360480600SE +/- 0.65, N = 3SE +/- 1.35, N = 3539.69538.201. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUOptimized Power ModeDefault2K4K6K8K10KSE +/- 4.32, N = 3SE +/- 5.30, N = 38943.888930.001. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUOptimized Power ModeDefault5K10K15K20K25KSE +/- 6.86, N = 3SE +/- 42.09, N = 324922.4024795.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUOptimized Power ModeDefault5001000150020002500SE +/- 7.16, N = 3SE +/- 3.42, N = 32392.382390.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformOptimized Power ModeDefault0.05330.10660.15990.21320.26650.2370.169

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDefaultOptimized Power Mode2004006008001000SE +/- 9.12, N = 3SE +/- 3.05, N = 31106.321100.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUOptimized Power ModeDefault11K22K33K44K55KSE +/- 229.19, N = 3SE +/- 490.25, N = 349494.0648795.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDefaultOptimized Power Mode2K4K6K8K10KSE +/- 7.22, N = 3SE +/- 6.61, N = 310205.6110168.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUDefaultOptimized Power Mode7001400210028003500SE +/- 7.06, N = 3SE +/- 6.73, N = 33330.193297.811. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDefaultOptimized Power Mode30K60K90K120K150KSE +/- 775.18, N = 3SE +/- 1361.46, N = 3121577.55117369.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveOptimized Power ModeDefault0.12960.25920.38880.51840.6480.5760.439

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadOptimized Power ModeDefault0.02810.05620.08430.11240.14050.1250.090

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowOptimized Power ModeDefault0.01820.03640.05460.07280.0910.0810.077

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumOptimized Power ModeDefault0.01890.03780.05670.07560.09450.0840.078

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowOptimized Power ModeDefault0.09810.19620.29430.39240.49050.4360.360

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumOptimized Power ModeDefault0.10130.20260.30390.40520.50650.4500.372

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastOptimized Power ModeDefault0.03940.07880.11820.15760.1970.1750.164

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastOptimized Power ModeDefault0.04390.08780.13170.17560.21950.1950.178

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastOptimized Power ModeDefault0.05240.10480.15720.20960.2620.2330.213

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastOptimized Power ModeDefault0.21560.43120.64680.86241.0780.9580.925

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastOptimized Power ModeDefault0.22280.44560.66840.89121.1140.990.94

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastOptimized Power ModeDefault0.25020.50040.75061.00081.2511.1121.051

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KOptimized Power ModeDefault0.00560.01120.01680.02240.0280.0250.020

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KOptimized Power ModeDefault0.05060.10120.15180.20240.2530.2250.192

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KOptimized Power ModeDefault0.20180.40360.60540.80721.0090.8970.808

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KOptimized Power ModeDefault0.20180.40360.60540.80721.0090.8970.820

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pOptimized Power ModeDefault0.01940.03880.05820.07760.0970.0860.068

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pOptimized Power ModeDefault0.12620.25240.37860.50480.6310.5610.478

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pOptimized Power ModeDefault0.48560.97121.45681.94242.4282.1582.042

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pOptimized Power ModeDefault0.6391.2781.9172.5563.1952.842.64

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pOptimized Power ModeDefault0.51191.02381.53572.04762.55952.2752.003

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pOptimized Power ModeDefault0.51461.02921.54382.05842.5732.2871.999

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pOptimized Power ModeDefault0.43790.87581.31371.75162.18951.9461.666

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowOptimized Power ModeDefault0.01150.0230.03450.0460.05750.0510.048

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumOptimized Power ModeDefault0.01310.02620.03930.05240.06550.0580.054

uvg266

Video Input: Bosphorus 1080p - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: SlowOptimized Power ModeDefault0.05130.10260.15390.20520.25650.2280.208

uvg266

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: MediumOptimized Power ModeDefault0.05780.11560.17340.23120.2890.2570.236

uvg266

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastOptimized Power ModeDefault0.03020.06040.09060.12080.1510.1340.125

uvg266

Video Input: Bosphorus 4K - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastOptimized Power ModeDefault0.03240.06480.09720.12960.1620.1440.131

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowDefaultOptimized Power Mode918273645SE +/- 0.06, N = 4SE +/- 0.06, N = 441.4541.131. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumDefaultOptimized Power Mode1020304050SE +/- 0.06, N = 4SE +/- 0.05, N = 441.9941.691. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowDefaultOptimized Power Mode306090120150SE +/- 0.38, N = 8SE +/- 0.35, N = 8127.25125.181. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumDefaultOptimized Power Mode306090120150SE +/- 0.46, N = 8SE +/- 0.58, N = 8131.14130.641. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastDefaultOptimized Power Mode1530456075SE +/- 0.26, N = 5SE +/- 0.44, N = 569.3664.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastDefaultOptimized Power Mode1632486480SE +/- 0.25, N = 5SE +/- 0.12, N = 571.0567.211. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastDefaultOptimized Power Mode20406080100SE +/- 0.23, N = 6SE +/- 0.70, N = 677.5370.871. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastDefaultOptimized Power Mode60120180240300SE +/- 1.16, N = 10SE +/- 1.04, N = 10268.49256.191. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastDefaultOptimized Power Mode60120180240300SE +/- 1.09, N = 10SE +/- 1.69, N = 10263.88251.331. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

uvg266

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastOptimized Power ModeDefault0.03580.07160.10740.14320.1790.1590.145

uvg266

Video Input: Bosphorus 1080p - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastOptimized Power ModeDefault0.12310.24620.36930.49240.61550.5470.526

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KDefaultOptimized Power Mode50100150200250SE +/- 1.12, N = 5SE +/- 1.56, N = 9218.76199.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pDefaultOptimized Power Mode510152025SE +/- 0.16, N = 5SE +/- 0.11, N = 520.9519.671. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pDefaultOptimized Power Mode306090120150SE +/- 0.36, N = 7SE +/- 0.77, N = 6142.27126.701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pDefaultOptimized Power Mode110220330440550SE +/- 3.53, N = 9SE +/- 4.01, N = 15502.71439.481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pDefaultOptimized Power Mode140280420560700SE +/- 4.69, N = 11SE +/- 3.16, N = 10628.76574.601. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pDefaultOptimized Power Mode120240360480600SE +/- 2.30, N = 9SE +/- 9.88, N = 15542.98493.261. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

uvg266

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastOptimized Power ModeDefault0.12040.24080.36120.48160.6020.5350.526

uvg266

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastOptimized Power ModeDefault0.13250.2650.39750.530.66250.5890.566

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastOptimized Power ModeDefault0.00470.00940.01410.01880.02350.0210.017

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterOptimized Power ModeDefault0.0070.0140.0210.0280.0350.0310.027

VVenC

Video Input: Bosphorus 1080p - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FastOptimized Power ModeDefault0.01510.03020.04530.06040.07550.0670.053

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pDefaultOptimized Power Mode120240360480600SE +/- 4.34, N = 9SE +/- 3.72, N = 8542.17502.051. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

uvg266

Video Input: Bosphorus 4K - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastDefaultOptimized Power Mode1326395265SE +/- 0.15, N = 5SE +/- 0.48, N = 457.8750.68

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastDefaultOptimized Power Mode246810SE +/- 0.067, N = 3SE +/- 0.066, N = 36.9216.3401. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

VVenC

Video Input: Bosphorus 1080p - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FasterOptimized Power ModeDefault0.02590.05180.07770.10360.12950.1150.092

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastDefaultOptimized Power Mode60120180240300SE +/- 2.07, N = 11SE +/- 1.93, N = 10282.05263.961. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KDefaultOptimized Power Mode246810SE +/- 0.098, N = 3SE +/- 0.006, N = 37.2976.6451. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KDefaultOptimized Power Mode1530456075SE +/- 0.39, N = 4SE +/- 0.56, N = 469.4761.911. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KDefaultOptimized Power Mode50100150200250SE +/- 0.90, N = 6SE +/- 2.06, N = 5218.45198.741. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pDefaultOptimized Power Mode100200300400500SE +/- 1.93, N = 8SE +/- 2.86, N = 8463.27433.531. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowDefaultOptimized Power Mode612182430SE +/- 0.08, N = 3SE +/- 0.08, N = 327.2026.71

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumDefaultOptimized Power Mode714212835SE +/- 0.08, N = 3SE +/- 0.19, N = 329.7929.62

uvg266

Video Input: Bosphorus 1080p - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: SlowDefaultOptimized Power Mode20406080100SE +/- 0.10, N = 6SE +/- 0.19, N = 680.3078.93

uvg266

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: MediumDefaultOptimized Power Mode20406080100SE +/- 0.08, N = 6SE +/- 0.25, N = 688.4686.78

uvg266

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastDefaultOptimized Power Mode1326395265SE +/- 0.07, N = 5SE +/- 0.45, N = 1556.0649.10

uvg266

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastDefaultOptimized Power Mode1326395265SE +/- 0.37, N = 5SE +/- 0.21, N = 459.5950.36

uvg266

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastDefaultOptimized Power Mode4080120160200SE +/- 0.74, N = 8SE +/- 1.07, N = 11160.63147.08

uvg266

Video Input: Bosphorus 1080p - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastDefaultOptimized Power Mode306090120150SE +/- 1.01, N = 15SE +/- 1.05, N = 15158.23145.75

uvg266

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastDefaultOptimized Power Mode4080120160200SE +/- 1.12, N = 9SE +/- 1.12, N = 15166.47153.17

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterDefaultOptimized Power Mode3691215SE +/- 0.081, N = 3SE +/- 0.072, N = 310.8369.0961. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

VVenC

Video Input: Bosphorus 1080p - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FastDefaultOptimized Power Mode510152025SE +/- 0.15, N = 3SE +/- 0.11, N = 319.9218.051. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

VVenC

Video Input: Bosphorus 1080p - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FasterDefaultOptimized Power Mode714212835SE +/- 0.36, N = 3SE +/- 0.30, N = 432.0928.931. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MDefaultOptimized Power Mode15K30K45K60K75KSE +/- 82.14, N = 4SE +/- 943.50, N = 370383.269196.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MOptimized Power ModeDefault16K32K48K64K80KSE +/- 24.14, N = 4SE +/- 677.05, N = 475701.775002.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MDefaultOptimized Power Mode4K8K12K16K20KSE +/- 67.39, N = 3SE +/- 22.03, N = 316522.513832.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MOptimized Power ModeDefault306090120150128.19125.63

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MDefaultOptimized Power Mode15K30K45K60K75KSE +/- 27.69, N = 4SE +/- 41.44, N = 370469.870298.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MOptimized Power ModeDefault61218243027.3225.21

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MOptimized Power ModeDefault306090120150131.15126.16

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MOptimized Power ModeDefault306090120150130.14123.55

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MDefaultOptimized Power Mode15K30K45K60K75KSE +/- 49.63, N = 4SE +/- 96.69, N = 370573.070338.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MOptimized Power ModeDefault306090120150130.23125.59

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MOptimized Power ModeDefault306090120150141.96134.73

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MOptimized Power ModeDefault15K30K45K60K75KSE +/- 443.65, N = 3SE +/- 844.15, N = 469847.969677.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyOptimized Power ModeDefault0.00230.00460.00690.00920.01150.010.01

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyOptimized Power ModeDefault1.0622.1243.1864.2485.31SE +/- 0.01, N = 6SE +/- 0.01, N = 64.724.53

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault306090120150SE +/- 0.12, N = 3SE +/- 0.21, N = 3138.01137.34

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault10002000300040005000SE +/- 2.64, N = 3SE +/- 6.99, N = 34590.344580.63

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamDefaultOptimized Power Mode400800120016002000SE +/- 3.42, N = 3SE +/- 6.86, N = 31778.591768.91

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamDefaultOptimized Power Mode2K4K6K8K10KSE +/- 7.42, N = 3SE +/- 12.41, N = 311244.7910738.14

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault2004006008001000SE +/- 0.60, N = 3SE +/- 0.97, N = 3834.27834.18

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault4080120160200SE +/- 0.33, N = 3SE +/- 1.36, N = 3162.59160.41

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamDefaultOptimized Power Mode400800120016002000SE +/- 7.80, N = 3SE +/- 3.31, N = 31791.271776.53

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault2004006008001000SE +/- 0.10, N = 3SE +/- 0.30, N = 3863.35862.14

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault30060090012001500SE +/- 2.51, N = 3SE +/- 1.85, N = 31237.031235.41

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault4080120160200SE +/- 0.02, N = 3SE +/- 0.43, N = 3183.71182.16

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamDefaultOptimized Power Mode400800120016002000SE +/- 1.67, N = 3SE +/- 0.88, N = 31899.221883.66

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault306090120150SE +/- 0.30, N = 3SE +/- 0.09, N = 3138.15137.35

Zstd Compression

Compression Level: 12 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedOptimized Power ModeDefault2468106.1054.516

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedOptimized Power ModeDefault1.19682.39363.59044.78725.9845.3193.953

Zstd Compression

Compression Level: 12 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedDefaultOptimized Power Mode70140210280350SE +/- 3.46, N = 3SE +/- 2.98, N = 5333.6272.21. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 12 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedDefaultOptimized Power Mode30060090012001500SE +/- 1.98, N = 3SE +/- 1.74, N = 51422.71282.71. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedDefaultOptimized Power Mode510152025SE +/- 0.06, N = 3SE +/- 0.19, N = 319.116.21. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedDefaultOptimized Power Mode30060090012001500SE +/- 1.19, N = 3SE +/- 2.93, N = 31173.51044.61. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedOptimized Power ModeDefault1.30192.60383.90575.20766.50955.7864.121

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedDefaultOptimized Power Mode3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 39.908.561. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedDefaultOptimized Power Mode30060090012001500SE +/- 16.60, N = 3SE +/- 2.17, N = 31183.81094.21. (CC) gcc options: -O3 -pthread -lz -llzma

QuantLib

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80027353906Default80026843904OpenBenchmarking.orgMegahertz, More Is BetterQuantLib 1.32CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

QuantLib

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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QMCPACK

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OpenFOAM

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OpenFOAM

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OpenRadioss

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OpenRadioss

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OpenRadioss

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OpenRadioss

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029523907Default80029243915OpenBenchmarking.orgMegahertz, More Is BetterOpenRadioss 2023.09.15CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenRadioss

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OpenRadioss

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80030243907Default80029933905OpenBenchmarking.orgMegahertz, More Is BetterOpenRadioss 2023.09.15CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

FFmpeg

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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FFmpeg

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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FFmpeg

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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FFmpeg

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80038953912Default80038883914OpenBenchmarking.orgMegahertz, More Is BetterFFmpeg 6.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Xmrig

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80027523908Optimized Power Mode80026733906OpenBenchmarking.orgMegahertz, More Is BetterXmrig 6.21CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Xmrig

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029143906Default80026983904OpenBenchmarking.orgMegahertz, More Is BetterXmrig 6.21CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Xmrig

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029003904Default80028903908OpenBenchmarking.orgMegahertz, More Is BetterXmrig 6.21CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Xmrig

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029393904Default80029383905OpenBenchmarking.orgMegahertz, More Is BetterXmrig 6.21CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Xmrig

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80028253905Default80028103906OpenBenchmarking.orgMegahertz, More Is BetterXmrig 6.21CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Xmrig

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029233903Default80028623904OpenBenchmarking.orgMegahertz, More Is BetterXmrig 6.21CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Zstd Compression

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038823910Optimized Power Mode80038443905OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.4CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Zstd Compression

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038813905Optimized Power Mode80038603907OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.4CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Zstd Compression

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80038883906Default80038363907OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.4CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

easyWave

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80034693908Optimized Power Mode80034503907OpenBenchmarking.orgMegahertz, More Is BettereasyWave r34CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

easyWave

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80034863906Default80034363906OpenBenchmarking.orgMegahertz, More Is BettereasyWave r34CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80038163907Default80036893920OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80035023906Optimized Power Mode80033833905OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80034903908Optimized Power Mode80034713914OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038383907Optimized Power Mode80037503911OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80037003908Optimized Power Mode80036033912OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80036113914Default80034253909OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80035303907Optimized Power Mode80033103909OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80034063908Optimized Power Mode80032633907OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80035233912Optimized Power Mode80035053908OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037443915Default80037303906OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.8CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038443916Optimized Power Mode80035363907OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.8CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037003906Default80036093920OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.8CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80034963921Default80034593919OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.8CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80036153905Default80035513907OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.8CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80035453922Optimized Power Mode80034393938OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.8CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80035773907Default80035223920OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.8CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80032103922Default80032053925OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 1.8CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-VP9

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80036123910Default80033963909OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-VP9

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80036143917Default80035753909OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

SVT-VP9

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80037003921Optimized Power Mode80035343907OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037753908Default80037283908OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037523917Default80035853904OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80035683909Default80033793909OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80036543908Default80036493910OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80036673928Default80036343920OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80037193916Optimized Power Mode80036603923OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037063922Default80035093921OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80035073923Default80032443911OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80033433917Optimized Power Mode80033043923OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

uvg266

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80034323920Optimized Power Mode80034123925OpenBenchmarking.orgMegahertz, More Is Betteruvg266 0.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

VVenC

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80038733908Default80038533916OpenBenchmarking.orgMegahertz, More Is BetterVVenC 1.9CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

VVenC

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038613907Optimized Power Mode80038153907OpenBenchmarking.orgMegahertz, More Is BetterVVenC 1.9CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

VVenC

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038483908Optimized Power Mode80037803905OpenBenchmarking.orgMegahertz, More Is BetterVVenC 1.9CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

VVenC

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037233906Default80036463910OpenBenchmarking.orgMegahertz, More Is BetterVVenC 1.9CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Intel Open Image Denoise

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80031493901Optimized Power Mode80029613904OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 2.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

7-Zip Compression

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80030063909Default80029403908OpenBenchmarking.orgMegahertz, More Is Better7-Zip Compression 22.01CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Timed GCC Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterTimed GCC Compilation 13.2CPU Peak Freq (Highest CPU Core Frequency) MonitorOptimized Power ModeDefault7001400210028003500Min: 800 / Avg: 3848.62 / Max: 3914Min: 800 / Avg: 3844.27 / Max: 3932

Timed Linux Kernel Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80034913908Default80034543911OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 6.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Timed Linux Kernel Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80030663911Optimized Power Mode80030663911OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 6.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Timed LLVM Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault249133243908Optimized Power Mode80033183908OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 16.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Timed LLVM Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037093912Default80037013918OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 16.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Y-Cruncher

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80032353905Default80031363912OpenBenchmarking.orgMegahertz, More Is BetterY-Cruncher 0.8.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80038603906Default80037593905OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037763906Default80036073906OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037453905Default80036863907OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038433905Optimized Power Mode80038093907OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029313903Default80028973906OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80029563904Optimized Power Mode80028633903OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029443905Default80028243908OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029313904Default80025893900OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80038413911Default80037743908OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037973906Default80037323907OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029143906Default80029053905OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80027483907Default80026103904OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Apache Spark TPC-H

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038375474Optimized Power Mode80038344663OpenBenchmarking.orgMegahertz, More Is BetterApache Spark TPC-H 3.5CPU Peak Freq (Highest CPU Core Frequency) Monitor14002800420056007000

Memcached

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029253905Default80029083906OpenBenchmarking.orgMegahertz, More Is BetterMemcached 1.6.19CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Memcached

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029083905Default80028913910OpenBenchmarking.orgMegahertz, More Is BetterMemcached 1.6.19CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Redis

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80037563906Default80037063905OpenBenchmarking.orgMegahertz, More Is BetterRedis 7.0.4CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Redis

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80036253904Default80035543904OpenBenchmarking.orgMegahertz, More Is BetterRedis 7.0.4CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Redis

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80033323903Default80032493907OpenBenchmarking.orgMegahertz, More Is BetterRedis 7.0.4CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Redis

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80033493905Optimized Power Mode80032053905OpenBenchmarking.orgMegahertz, More Is BetterRedis 7.0.4CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

DuckDB

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80038733927Optimized Power Mode80038633920OpenBenchmarking.orgMegahertz, More Is BetterDuckDB 0.9.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

DuckDB

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80038813918Default80038773921OpenBenchmarking.orgMegahertz, More Is BetterDuckDB 0.9.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

PostgreSQL

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL 16CPU Peak Freq (Highest CPU Core Frequency) MonitorDefaultOptimized Power Mode7001400210028003500Min: 800 / Avg: 3000.4 / Max: 3925Min: 800 / Avg: 2988.27 / Max: 3921

PostgreSQL

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029963906Default80029813910OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL 16CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

PyTorch

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80030083905Default80029803907OpenBenchmarking.orgMegahertz, More Is BetterPyTorch 2.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

PyTorch

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80029513908Optimized Power Mode80029433906OpenBenchmarking.orgMegahertz, More Is BetterPyTorch 2.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

PyTorch

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterPyTorch 2.1CPU Peak Freq (Highest CPU Core Frequency) MonitorOptimized Power ModeDefault7001400210028003500Min: 800 / Avg: 2922.73 / Max: 3908Min: 800 / Avg: 2912.64 / Max: 3907

PyTorch

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterPyTorch 2.1CPU Peak Freq (Highest CPU Core Frequency) MonitorDefaultOptimized Power Mode7001400210028003500Min: 800 / Avg: 2937.97 / Max: 3906Min: 800 / Avg: 2935.94 / Max: 3905

PyTorch

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterPyTorch 2.1CPU Peak Freq (Highest CPU Core Frequency) MonitorDefaultOptimized Power Mode9001800270036004500Min: 800 / Avg: 3771.05 / Max: 4127Min: 800 / Avg: 3770.85 / Max: 5154

PyTorch

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterPyTorch 2.1CPU Peak Freq (Highest CPU Core Frequency) MonitorDefaultOptimized Power Mode8001600240032004000Min: 800 / Avg: 3773.77 / Max: 3934Min: 800 / Avg: 3772.48 / Max: 4480

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80026823914Default80026163905OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80030153909Optimized Power Mode80029943907OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80028533914Default80028353928Xeon Platinun 8592+80027613910OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80028713907Default80028513905OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80025373904Default80024553905OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80032443908Default80031503907OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80024953907Default80024443904OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80028793908Default80026303909OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80028753907Optimized Power Mode80028443907OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029543926Default80029493905OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Neural Magic DeepSparse

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80026523911Default80025933909OpenBenchmarking.orgMegahertz, More Is BetterNeural Magic DeepSparse 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Blender

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029573909Default80028183905OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Blender

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80027283905Optimized Power Mode80026963906OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Blender

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80027703909Default50026593908OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80028643906Default80026013905OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80027923907Default80027063904OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80024383911Optimized Power Mode80024083907OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80025043910Default80024553908OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80025553906Default80025283908OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029533906Default80026963904OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80024073907Default80023403905OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80025623921Default80024923908OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029573906Default80029423912OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenVINO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80032583905Default80031683907OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2023.2.devCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Apache Hadoop

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80035723911Optimized Power Mode80034803907OpenBenchmarking.orgMegahertz, More Is BetterApache Hadoop 3.3.6CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

nginx

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029253905Default80029033904OpenBenchmarking.orgMegahertz, More Is Betternginx 1.23.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

nginx

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxOptimized Power Mode80029663907Default80028693905OpenBenchmarking.orgMegahertz, More Is Betternginx 1.23.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Apache HTTP Server

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80028903905Optimized Power Mode80028893907OpenBenchmarking.orgMegahertz, More Is BetterApache HTTP Server 2.4.56CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Apache HTTP Server

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxDefault80029533906Optimized Power Mode80028633903OpenBenchmarking.orgMegahertz, More Is BetterApache HTTP Server 2.4.56CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedOptimized Power ModeDefault80K160K240K320K400KSE +/- 52.43, N = 3SE +/- 127.57, N = 3391468.4388447.21. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedOptimized Power ModeDefault130260390520650606.16596.03

QuantLib

Configuration: Single-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Single-ThreadedOptimized Power ModeDefault51015202520.0018.03

QuantLib

Configuration: Single-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Single-ThreadedDefaultOptimized Power Mode8001600240032004000SE +/- 1.44, N = 3SE +/- 2.92, N = 33650.53641.41. (CXX) g++ options: -O3 -march=native -fPIE -pie

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingOptimized Power ModeDefault20040060080010001145.351062.10

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingDefaultOptimized Power Mode150K300K450K600K750KSE +/- 869.44, N = 3SE +/- 1440.87, N = 36895166544591. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingOptimized Power ModeDefault140K280K420K560K700KSE +/- 9574.07, N = 3SE +/- 4040.78, N = 36381366373111. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Apache Hadoop

Operation: Create - Threads: 100 - Files: 100000

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Create - Threads: 100 - Files: 100000DefaultOptimized Power Mode12002400360048006000SE +/- 32.35, N = 3SE +/- 62.35, N = 354904814

Apache Hadoop

Operation: Create - Threads: 100 - Files: 100000

OpenBenchmarking.orgOps per sec Per Watt, More Is BetterApache Hadoop 3.3.6Operation: Create - Threads: 100 - Files: 100000Optimized Power ModeDefault61218243025.2921.24

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100Optimized Power ModeDefault150030004500600075006801.696692.76

Memcached

Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10DefaultOptimized Power Mode700K1400K2100K2800K3500KSE +/- 29533.59, N = 15SE +/- 43551.88, N = 153360511.122180648.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100DefaultOptimized Power Mode700K1400K2100K2800K3500KSE +/- 25091.90, N = 3SE +/- 42725.42, N = 33441439.713274425.321. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10DefaultOptimized Power Mode130026003900520065006290.445158.07

Redis

Test: GET - Parallel Connections: 50

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 50Optimized Power ModeDefault4K8K12K16K20K20690.4118984.61

Redis

Test: SET - Parallel Connections: 50

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 50Optimized Power ModeDefault4K8K12K16K20K16432.1811959.07

Redis

Test: GET - Parallel Connections: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 500Optimized Power ModeDefault2K4K6K8K10K10408.059025.17

Redis

Test: SET - Parallel Connections: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 500Optimized Power ModeDefault140028004200560070006737.206160.26

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 500DefaultOptimized Power Mode100200300400500449.51429.69

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 1000Optimized Power ModeDefault90180270360450395.64389.82

Apache HTTP Server

Concurrent Requests: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 500Optimized Power ModeDefault60120180240300266.08216.64

Redis

Test: GET - Parallel Connections: 50

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 50DefaultOptimized Power Mode1000K2000K3000K4000K5000KSE +/- 8167.04, N = 4SE +/- 1281.58, N = 34744838.903811819.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Apache HTTP Server

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Optimized Power ModeDefault60120180240300262.58208.91

Redis

Test: SET - Parallel Connections: 50

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 50DefaultOptimized Power Mode700K1400K2100K2800K3500KSE +/- 12726.60, N = 3SE +/- 1584.15, N = 33060186.423050498.001. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET - Parallel Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 500DefaultOptimized Power Mode700K1400K2100K2800K3500KSE +/- 482.98, N = 3SE +/- 36270.68, N = 33240001.583152359.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SET - Parallel Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 500DefaultOptimized Power Mode500K1000K1500K2000K2500KSE +/- 7546.74, N = 3SE +/- 19286.75, N = 152503177.672389636.671. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500DefaultOptimized Power Mode60K120K180K240K300KSE +/- 25.30, N = 3SE +/- 10.52, N = 3273684.71202507.421. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000DefaultOptimized Power Mode50K100K150K200K250KSE +/- 397.04, N = 3SE +/- 72.63, N = 2243384.19184861.991. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Apache HTTP Server

Concurrent Requests: 500

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 500DefaultOptimized Power Mode20K40K60K80K100KSE +/- 265.12, N = 3SE +/- 184.86, N = 390823.0680817.731. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Apache HTTP Server

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000DefaultOptimized Power Mode20K40K60K80K100K80826.7176315.651. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 32DefaultOptimized Power Mode300M600M900M1200M1500MSE +/- 1273228.62, N = 3SE +/- 1193035.34, N = 3121176666712045000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 32Optimized Power ModeDefault800K1600K2400K3200K4000K3778050.232919266.29

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 57DefaultOptimized Power Mode300M600M900M1200M1500MSE +/- 9950041.88, N = 3SE +/- 16392511.84, N = 3142910000012933333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32Optimized Power ModeDefault1300M2600M3900M5200M6500MSE +/- 61606333.10, N = 6SE +/- 7150058.27, N = 3630148333361856000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57DefaultOptimized Power Mode1200M2400M3600M4800M6000MSE +/- 11767044.38, N = 3SE +/- 19835069.95, N = 3583550000056566000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 57Optimized Power ModeDefault800K1600K2400K3200K4000K3765376.513194605.47

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 512DefaultOptimized Power Mode110M220M330M440M550MSE +/- 5123258.57, N = 6SE +/- 3588947.54, N = 35082450004914266671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 512DefaultOptimized Power Mode200M400M600M800M1000MSE +/- 10474795.68, N = 3SE +/- 5205466.14, N = 310123366679996633331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32Optimized Power ModeDefault1.1M2.2M3.3M4.4M5.5M5140098.564283633.39

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32DefaultOptimized Power Mode500M1000M1500M2000M2500MSE +/- 6835284.27, N = 3SE +/- 13974301.81, N = 3247603333324608666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 32Optimized Power ModeDefault800M1600M2400M3200M4000MSE +/- 3883440.63, N = 3SE +/- 1386041.53, N = 3374523333336118666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 57DefaultOptimized Power Mode900M1800M2700M3600M4500MSE +/- 11478143.48, N = 3SE +/- 34188302.09, N = 3432986666741250000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 57Optimized Power ModeDefault1000K2000K3000K4000K5000K4774859.274449269.38

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 32Optimized Power ModeDefault1.5M3M4.5M6M7.5M7101447.976080886.75

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32Optimized Power ModeDefault2M4M6M8M10M10558400.849739696.86

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57Optimized Power ModeDefault2M4M6M8M10M9209885.669120590.64

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512Optimized Power ModeDefault300M600M900M1200M1500MSE +/- 13505101.92, N = 3SE +/- 4762352.36, N = 3151346666714739000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512DefaultOptimized Power Mode500M1000M1500M2000M2500MSE +/- 2968913.01, N = 3SE +/- 1101514.11, N = 3214456666721410000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 57Optimized Power ModeDefault1.5M3M4.5M6M7.5M7072857.526804882.12

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 512Optimized Power ModeDefault300K600K900K1200K1500K1384860.491124172.64

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 512Optimized Power ModeDefault400K800K1200K1600K2000K1823904.251627411.29

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512Optimized Power ModeDefault500K1000K1500K2000K2500K2561825.812318859.55

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512Optimized Power ModeDefault700K1400K2100K2800K3500K3430132.223389797.47

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 57DefaultOptimized Power Mode600M1200M1800M2400M3000MSE +/- 24169149.30, N = 3SE +/- 20734086.19, N = 15281016666725565733331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read OnlyDefaultOptimized Power Mode200K400K600K800K1000KSE +/- 17460.42, N = 10SE +/- 11877.48, N = 128930898784681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read WriteDefaultOptimized Power Mode14K28K42K56K70KSE +/- 70.87, N = 3SE +/- 214.64, N = 363962596951. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average LatencyDefaultOptimized Power Mode0.25670.51340.77011.02681.2835SE +/- 0.022, N = 10SE +/- 0.016, N = 121.1241.1411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average LatencyDefaultOptimized Power Mode48121620SE +/- 0.02, N = 3SE +/- 0.06, N = 315.6316.751. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUOptimized Power ModeDefault1020304050SE +/- 0.05, N = 3SE +/- 0.04, N = 342.5942.72MIN: 32.12 / MAX: 128.96MIN: 31.92 / MAX: 84.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUDefaultOptimized Power Mode50100150200250SE +/- 0.35, N = 3SE +/- 0.55, N = 3236.70237.36MIN: 157.14 / MAX: 268.19MIN: 160.6 / MAX: 286.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUOptimized Power ModeDefault48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 314.3014.32MIN: 12.18 / MAX: 47.3MIN: 12.39 / MAX: 39.161. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUOptimized Power ModeDefault1.15882.31763.47644.63525.794SE +/- 0.00, N = 3SE +/- 0.01, N = 35.135.15MIN: 4.64 / MAX: 29.56MIN: 4.63 / MAX: 27.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUOptimized Power ModeDefault1224364860SE +/- 0.16, N = 3SE +/- 0.08, N = 353.4553.51MIN: 45.01 / MAX: 111.52MIN: 43.94 / MAX: 101.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDefaultOptimized Power Mode714212835SE +/- 0.23, N = 3SE +/- 0.08, N = 328.8528.99MIN: 21.11 / MAX: 222.12MIN: 22.06 / MAX: 222.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUOptimized Power ModeDefault0.55131.10261.65392.20522.7565SE +/- 0.00, N = 3SE +/- 0.01, N = 32.422.45MIN: 1.96 / MAX: 28.3MIN: 2.03 / MAX: 23.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDefaultOptimized Power Mode3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 312.5112.55MIN: 10.84 / MAX: 42.36MIN: 10.77 / MAX: 42.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUDefaultOptimized Power Mode918273645SE +/- 0.08, N = 3SE +/- 0.08, N = 338.4138.79MIN: 35.95 / MAX: 58.71MIN: 36.26 / MAX: 60.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDefaultOptimized Power Mode0.09230.18460.27690.36920.4615SE +/- 0.00, N = 3SE +/- 0.01, N = 30.400.41MIN: 0.18 / MAX: 14.47MIN: 0.19 / MAX: 15.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault100200300400500SE +/- 0.42, N = 3SE +/- 0.27, N = 3461.15463.09

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault48121620SE +/- 0.01, N = 3SE +/- 0.02, N = 313.9113.95

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamDefaultOptimized Power Mode816243240SE +/- 0.08, N = 3SE +/- 0.14, N = 335.9336.13

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamDefaultOptimized Power Mode1.33622.67244.00865.34486.681SE +/- 0.0033, N = 3SE +/- 0.0065, N = 35.67325.9385

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault20406080100SE +/- 0.04, N = 3SE +/- 0.04, N = 376.5076.54

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault90180270360450SE +/- 0.71, N = 3SE +/- 3.53, N = 3392.45397.77

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamDefaultOptimized Power Mode816243240SE +/- 0.16, N = 3SE +/- 0.07, N = 335.6735.96

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault1632486480SE +/- 0.03, N = 3SE +/- 0.05, N = 373.9974.07

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault1224364860SE +/- 0.07, N = 3SE +/- 0.05, N = 351.6251.70

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault80160240320400SE +/- 0.05, N = 3SE +/- 0.69, N = 3346.74350.90

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamDefaultOptimized Power Mode816243240SE +/- 0.03, N = 3SE +/- 0.01, N = 333.6433.90

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamOptimized Power ModeDefault100200300400500SE +/- 0.70, N = 3SE +/- 0.03, N = 3460.69462.99

OpenFOAM

Input: motorBike - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Execution TimeDefaultOptimized Power Mode1.23952.4793.71854.9586.19754.132885.508971. (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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeOptimized Power ModeDefault71421283527.7130.041. (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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeOptimized Power ModeDefault61218243023.3523.471. (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

Model: Bumper Beam

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamOptimized Power ModeDefault20406080100SE +/- 0.13, N = 3SE +/- 0.18, N = 382.7384.78

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MDefaultOptimized Power Mode20406080100SE +/- 0.14, N = 3SE +/- 0.17, N = 385.8286.30

OpenRadioss

Model: Cell Phone Drop Test

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestOptimized Power ModeDefault612182430SE +/- 0.12, N = 3SE +/- 0.14, N = 325.3725.74

OpenRadioss

Model: Bird Strike on Windshield

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on WindshieldDefaultOptimized Power Mode306090120150SE +/- 0.65, N = 3SE +/- 0.28, N = 3111.23111.73

OpenRadioss

Model: Rubber O-Ring Seal Installation

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal InstallationDefaultOptimized Power Mode20406080100SE +/- 0.03, N = 3SE +/- 0.13, N = 381.6989.37

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerDefaultOptimized Power Mode20406080100SE +/- 0.07, N = 3SE +/- 0.08, N = 397.8798.49

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200DefaultOptimized Power Mode1020304050SE +/- 0.28, N = 3SE +/- 0.41, N = 1536.5542.561. (CXX) g++ options: -O3 -fopenmp

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400DefaultOptimized Power Mode20406080100SE +/- 1.41, N = 15SE +/- 1.07, N = 389.98102.931. (CXX) g++ options: -O3 -fopenmp

Timed GCC Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 13.2Time To CompileDefaultOptimized Power Mode160320480640800SE +/- 2.37, N = 3SE +/- 4.73, N = 3706.26759.22

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigDefaultOptimized Power Mode612182430SE +/- 0.21, N = 8SE +/- 0.18, N = 1123.7624.48

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigDefaultOptimized Power Mode306090120150SE +/- 0.51, N = 3SE +/- 0.48, N = 3149.79151.28

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaDefaultOptimized Power Mode20406080100SE +/- 0.29, N = 3SE +/- 0.20, N = 396.5298.91

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesDefaultOptimized Power Mode4080120160200SE +/- 0.30, N = 3SE +/- 0.58, N = 3177.43187.84

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.2Pi Digits To Calculate: 1BOptimized Power ModeDefault1.16982.33963.50944.67925.849SE +/- 0.009, N = 5SE +/- 0.018, N = 54.6975.199

Apache Spark TPC-H

Scale Factor: 10 - Geometric Mean Of All Queries

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Geometric Mean Of All QueriesDefaultOptimized Power Mode3691215SE +/- 0.07178690, N = 3SE +/- 0.09145601, N = 78.359196839.77304127MIN: 4.15 / MAX: 27.27MIN: 4.46 / MAX: 32.81

Apache Spark TPC-H

Scale Factor: 10 - Q01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q01DefaultOptimized Power Mode3691215SE +/- 0.23680200, N = 3SE +/- 0.34672923, N = 78.8418556910.52531964

Apache Spark TPC-H

Scale Factor: 10 - Q02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q02DefaultOptimized Power Mode3691215SE +/- 0.14674980, N = 3SE +/- 0.18560870, N = 77.6981140810.79421711

Apache Spark TPC-H

Scale Factor: 10 - Q03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q03DefaultOptimized Power Mode48121620SE +/- 0.05, N = 3SE +/- 0.30, N = 712.5915.02

Apache Spark TPC-H

Scale Factor: 10 - Q04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q04DefaultOptimized Power Mode3691215SE +/- 0.27780883, N = 3SE +/- 0.18685247, N = 78.176972239.29476929

Apache Spark TPC-H

Scale Factor: 10 - Q05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q05DefaultOptimized Power Mode48121620SE +/- 0.17, N = 3SE +/- 0.84, N = 712.9418.04

Apache Spark TPC-H

Scale Factor: 10 - Q06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q06DefaultOptimized Power Mode0.7321.4642.1962.9283.66SE +/- 0.19354811, N = 3SE +/- 0.19375001, N = 72.566171173.25317642

Apache Spark TPC-H

Scale Factor: 10 - Q07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q07DefaultOptimized Power Mode48121620SE +/- 0.65, N = 3SE +/- 0.30, N = 711.4714.06

Apache Spark TPC-H

Scale Factor: 10 - Q08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q08DefaultOptimized Power Mode48121620SE +/- 0.29, N = 3SE +/- 0.45, N = 712.0515.72

Apache Spark TPC-H

Scale Factor: 10 - Q09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q09DefaultOptimized Power Mode510152025SE +/- 1.37, N = 3SE +/- 0.36, N = 717.5621.66

Apache Spark TPC-H

Scale Factor: 10 - Q10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q10DefaultOptimized Power Mode48121620SE +/- 0.36, N = 3SE +/- 0.34, N = 711.8814.06

Apache Spark TPC-H

Scale Factor: 10 - Q11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q11DefaultOptimized Power Mode246810SE +/- 0.21358847, N = 3SE +/- 0.21479648, N = 75.997661758.03043699

Apache Spark TPC-H

Scale Factor: 10 - Q12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q12DefaultOptimized Power Mode3691215SE +/- 0.47598391, N = 3SE +/- 0.34240704, N = 77.9339332610.05769416

Apache Spark TPC-H

Scale Factor: 10 - Q13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q13DefaultOptimized Power Mode246810SE +/- 0.08149193, N = 3SE +/- 0.30330721, N = 75.644020566.53481947

Apache Spark TPC-H

Scale Factor: 10 - Q14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q14DefaultOptimized Power Mode246810SE +/- 0.09561638, N = 3SE +/- 0.14967485, N = 75.778444926.54833514

Apache Spark TPC-H

Scale Factor: 10 - Q15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q15DefaultOptimized Power Mode1.03842.07683.11524.15365.192SE +/- 0.05108329, N = 3SE +/- 0.07270001, N = 74.245615804.61490004

Apache Spark TPC-H

Scale Factor: 10 - Q16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q16DefaultOptimized Power Mode1.27272.54543.81815.09086.3635SE +/- 0.28343850, N = 3SE +/- 0.10743013, N = 74.972441045.65648528

Apache Spark TPC-H

Scale Factor: 10 - Q17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q17DefaultOptimized Power Mode3691215SE +/- 0.23, N = 3SE +/- 0.26, N = 712.6013.03

Apache Spark TPC-H

Scale Factor: 10 - Q18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q18DefaultOptimized Power Mode48121620SE +/- 0.44, N = 3SE +/- 0.53, N = 712.8914.20

Apache Spark TPC-H

Scale Factor: 10 - Q19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q19DefaultOptimized Power Mode1.29092.58183.87275.16366.4545SE +/- 0.17083033, N = 3SE +/- 0.14465657, N = 75.094584625.73738200

Apache Spark TPC-H

Scale Factor: 10 - Q20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q20DefaultOptimized Power Mode3691215SE +/- 0.45558852, N = 3SE +/- 0.14303850, N = 78.5617198910.24267319

Apache Spark TPC-H

Scale Factor: 10 - Q21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q21DefaultOptimized Power Mode714212835SE +/- 0.40, N = 3SE +/- 0.34, N = 726.4831.16

Apache Spark TPC-H

Scale Factor: 10 - Q22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q22DefaultOptimized Power Mode1.11822.23643.35464.47285.591SE +/- 0.16829529, N = 3SE +/- 0.13159559, N = 74.495659514.96957016

DuckDB

Benchmark: IMDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBDefaultOptimized Power Mode306090120150SE +/- 0.49, N = 3SE +/- 0.43, N = 3121.97139.331. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

DuckDB

Benchmark: TPC-H Parquet

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetDefaultOptimized Power Mode306090120150SE +/- 0.31, N = 3SE +/- 0.38, N = 3148.55157.101. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyOptimized Power ModeDefault3691215SE +/- 0.04, N = 4SE +/- 0.03, N = 412.6712.89

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyOptimized Power ModeDefault816243240SE +/- 0.07, N = 3SE +/- 0.33, N = 333.4034.94

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyOptimized Power ModeDefault306090120150SE +/- 0.11, N = 3SE +/- 6.68, N = 9129.94149.49

QMCPACK

Input: Li2_STO_ae

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeOptimized Power ModeDefault20406080100SE +/- 1.02, N = 5SE +/- 0.40, N = 392.6794.381. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QuantLib

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181646759Default199652758OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor2004006008001000

QuantLib

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179.2182.1191.9Default195.7202.5274.3OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor70140210280350

QMCPACK

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode175663758Default193667756OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor2004006008001000

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode175.6200.2221.0Default206.9278.4337.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor80160240320400

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode169556717Default206590755OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor2004006008001000

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode173641735Default104651755OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor2004006008001000

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode89537741Default144568757OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor2004006008001000

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode156477732Default200518755OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor2004006008001000

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178644730Default101657757OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor2004006008001000

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode93580640Default187640756OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor2004006008001000

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode96623713Default201639756OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor2004006008001000

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode129.0205.4267.0Default198.9300.2361.3OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor100200300400500

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode89.7207.8317.2Default138.2299.2415.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor110220330440550

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode100.3216.9272.9Default103.6319.0374.1OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor100200300400500

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode109.2218.0280.6Default162.7318.2364.5OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor100200300400500

Xmrig

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode185540759Default200560759OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183540759Default207561759OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode185533759Default207557766OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode175506548Default204655739OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode182536759Default205559759OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode187537759Default204564759OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode90.4210.1264.7Default143.9315.1371.3OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor100200300400500

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode98.9196.4223.8Default164.0296.9335.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor80160240320400

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode182.1189.1202.2Default199.4287.2314.9OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor80160240320400

easyWave

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode168.2327.1497.9Default199.5390.6501.4OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor130260390520650

easyWave

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode160.9328.1496.2Default198.3407.9539.4OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor140280420560700

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode188506639Default200536673OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor2004006008001000

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode188494633Default203537704OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor2004006008001000

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode142.7287.0393.6Default205.7353.2497.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor130260390520650

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode184.0290.5415.7Default199.2352.8497.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor130260390520650

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode185.0372.2523.5Default195.9424.1563.7OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor140280420560700

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode186.6344.9484.9Default207.0398.5519.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor130260390520650

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode187.6303.7417.2Default195.7364.2476.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor120240360480600

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode188.2267.5439.5Default195.3290.3469.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor120240360480600

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode184.6253.9385.9Default195.0280.7447.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor120240360480600

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode146.9237.4350.4Default195.4268.4416.5OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor110220330440550

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178.5264.7423.6Default198.8363.8531.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor130260390520650

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178.6275.5394.3Default207.4361.1517.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor130260390520650

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178.4221.4396.1Default194.7270.4503.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor130260390520650

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode94.9222.4429.6Default188.4266.9496.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor130260390520650

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179.0229.9287.8Default188.7309.8398.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor110220330440550

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178.6225.9330.4Default199.8297.7432.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor110220330440550

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode119.4203.6319.3Default195.6246.2402.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor110220330440550

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode177.1202.4313.6Default193.8238.2383.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor100200300400500

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode94.5216.8399.4Default195.4271.1486.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor130260390520650

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178.7219.5408.7Default199.9271.3493.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor130260390520650

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179.1222.8433.3Default199.6278.1500.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor130260390520650

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode184520693Default207567719OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode185513661Default201556727OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode188.3346.5464.1Default203.8386.0506.0OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor130260390520650

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode188.2337.9473.2Default199.5374.9505.3OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor130260390520650

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode182.9366.0531.1Default199.1448.8588.6OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor160320480640800

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode188.7351.0476.3Default206.2440.6569.5OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor140280420560700

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183.0316.8389.0Default207.2411.1535.8OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor140280420560700

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183.2274.9402.4Default149.6305.7483.7OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor120240360480600

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode94.6266.6405.6Default195.4300.9474.5OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor120240360480600

uvg266

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode187.2260.1393.2Default195.5294.4446.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor120240360480600

VVenC

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode182.5307.5432.6Default207.3418.4548.0OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor140280420560700

VVenC

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode135.6296.9410.2Default207.0407.8523.1OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor130260390520650

VVenC

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode160.6269.5332.4Default206.6376.5448.9OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor120240360480600

VVenC

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode182.4250.7297.9Default206.9349.1415.3OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor110220330440550

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183467708Default200473676OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor2004006008001000

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179557760Default205600762OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor2004006008001000

Timed GCC Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed GCC Compilation 13.2CPU Power Consumption MonitorOptimized Power ModeDefault130260390520650Min: 90.55 / Avg: 227.95 / Max: 760.59Min: 115.2 / Avg: 332.29 / Max: 762.28

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode90320761Default104388760OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor2004006008001000

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode174553761Default186584759OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor2004006008001000

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode89460758Default103521759OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor2004006008001000

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode94367758Default200469762OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor2004006008001000

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode97361742Default207398728OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.2CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode184.1318.8341.0Default206.5415.1447.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor120240360480600

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode184.2343.5374.7Default207.2447.3490.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor130260390520650

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode184479543Default194578650OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183535623Default208632708OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181527585Default207594674OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183583669Default201636742OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183597744Default139635755OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode187614691Default196640754OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183.1354.9394.7Default206.4452.1497.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor130260390520650

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181548629Default200622737OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode182591679Default207636728OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181624755Default196633756OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor2004006008001000

Apache Spark TPC-H

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterApache Spark TPC-H 3.5CPU Power Consumption MonitorOptimized Power ModeDefault110220330440550Min: 92.82 / Avg: 308.18 / Max: 608.02Min: 145.89 / Avg: 378.9 / Max: 600.02

Memcached

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode94.3422.8504.5Default199.2534.2599.5OpenBenchmarking.orgWatts, Fewer Is BetterMemcached 1.6.19CPU Power Consumption Monitor160320480640800

Memcached

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183.2481.4564.7Default206.7514.2607.5OpenBenchmarking.orgWatts, Fewer Is BetterMemcached 1.6.19CPU Power Consumption Monitor160320480640800

Redis

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode94.4184.2188.8Default206.0249.9290.9OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.4CPU Power Consumption Monitor70140210280350

Redis

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183.2185.6189.5Default206.7255.9290.9OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.4CPU Power Consumption Monitor70140210280350

Redis

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode184.3302.9456.0Default206.6359.0511.5OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.4CPU Power Consumption Monitor130260390520650

Redis

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode93.8354.7522.3Default206.4406.3549.1OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.4CPU Power Consumption Monitor140280420560700

DuckDB

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode101.6224.7314.2Default160.7312.8391.9OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor110220330440550

DuckDB

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode90.3192.7281.6Default137.7288.3394.2OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor110220330440550

PostgreSQL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 16CPU Power Consumption MonitorOptimized Power ModeDefault130260390520650Min: 94.15 / Avg: 458.57 / Max: 678.78Min: 199.24 / Avg: 508.51 / Max: 759.36

PostgreSQL

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode144.0378.6455.4Default206.2446.2510.9OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 16CPU Power Consumption Monitor130260390520650

PyTorch

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181.0398.9479.9Default207.1519.2581.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor160320480640800

PyTorch

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181.1397.8477.5Default207.1523.6583.9OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor160320480640800

PyTorch

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorOptimized Power ModeDefault100200300400500Min: 181.02 / Avg: 419.77 / Max: 482.16Min: 206.94 / Avg: 550.2 / Max: 586.61

PyTorch

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181.0425.6481.4Default206.8549.6589.4OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor160320480640800

PyTorch

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorOptimized Power ModeDefault80160240320400Min: 151.88 / Avg: 323.77 / Max: 364.19Min: 191.62 / Avg: 400.65 / Max: 444.68

PyTorch

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorOptimized Power ModeDefault80160240320400Min: 150.79 / Avg: 323.75 / Max: 378.29Min: 188.24 / Avg: 400.23 / Max: 457.62

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode177539759Default207572759OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode176525694Default206568757OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179603758Xeon Platinun 8592+207612758Default207616758OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178555660Default207614755OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178602760Default204612758OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode93400759Default207470759OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179605760Default105617759OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179575751Default206593760OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode176584755Default207604750OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode174526714Default145568758OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode175541760Default206571760OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181539759Default207550738OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181618758Default206621735OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorDefaultOptimized Power Mode130260390520650Min: 206.7 / Avg: 601.32 / Max: 759.63Min: 179.1 / Avg: 653.77 / Max: 759.95

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181634803Default207650802OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode182615731Default207635764OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178650760Default206658763OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178648743Default207657771OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178636758Default207648756OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179638710Default207655751OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179650730Default206658766OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179628762Default207644768OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode179569617Default206657735OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode178.9411.8522.8Default206.6468.0594.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor160320480640800

Apache Hadoop

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode93.8190.3214.7Default205.8258.4316.7OpenBenchmarking.orgWatts, Fewer Is BetterApache Hadoop 3.3.6CPU Power Consumption Monitor80160240320400

nginx

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183471554Default199609655OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor2004006008001000

nginx

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode183467530Default207624666OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor2004006008001000

Apache HTTP Server

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode181.8303.7320.2Default196.4419.2442.6OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.56CPU Power Consumption Monitor120240360480600

Apache HTTP Server

CPU Power Consumption Monitor

MinAvgMaxOptimized Power Mode99.1290.6333.6Default195.5386.9451.6OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.56CPU Power Consumption Monitor120240360480600


Phoronix Test Suite v10.8.5