AMD Ryzen Non-X vs. Intel Alder Lake/Raptor Lake benchmarks new cpus

Benchmarks for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2301151-PTS-EO2022BE21
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Ryzen 5 7600
January 05 2023
  4 Hours, 52 Minutes
Ryzen 7 7700
January 01 2023
  4 Hours, 7 Minutes
Ryzen 9 7900
December 28 2022
  3 Hours, 35 Minutes
Ryzen 9 7950X
December 27 2022
  3 Hours, 17 Minutes
Core i5 12400
January 12 2023
  5 Hours, 15 Minutes
12400
January 13 2023
  5 Hours, 13 Minutes
13400
January 14 2023
  11 Hours, 43 Minutes
Core i5 13400
January 15 2023
  4 Hours, 54 Minutes
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  5 Hours, 22 Minutes

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AMD Ryzen Non-X vs. Intel Alder Lake/Raptor Lake benchmarks new cpusProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR X670E HERO (0805 BIOS)AMD Device 14d832GB2000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Navi 21 HDMI AudioASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads)2000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6750 XT 12GB (2880/1124MHz)AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)2000GB Samsung SSD 980 PRO 2TB + 257GB Flash DriveIntel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads)ASUS PRIME Z790-P WIFI (0602 BIOS)Intel Device 7a272000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6700 XT 12GB (2855/1000MHz)Realtek ALC897ASUS VP28UIntel Device 7a70Intel Core i5-13400 @ 3.40GHz (10 Cores / 16 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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- Ryzen 5 7600: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7 7700: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7950X: Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa601203- Core i5 12400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25 - Thermald 2.4.9- 12400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25 - Thermald 2.4.9- 13400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25- Core i5 13400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25Python Details- Python 3.10.4Security Details- Ryzen 5 7600: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 7700: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7900: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Core i5 12400: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- 12400: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- 13400: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- Core i5 13400: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400Logarithmic Result OverviewPhoronix Test SuiteminiBUDEQuadRayOpenVINOBlenderXmrigOpenRadiossTimed Linux Kernel CompilationStargate Digital Audio WorkstationTensorFlowOpenVKLlibavif avifencNeural Magic DeepSparseY-CruncherSVT-AV1nekRSspaCyCockroachDBJPEG XL libjxlEnCodecJPEG XL Decoding libjxl

AMD Ryzen Non-X vs. Intel Alder Lake/Raptor Lake benchmarks new cpusminibude: OpenMP - BM1minibude: OpenMP - BM1nekrs: TurboPipe Periodicopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenradioss: Bumper Beamopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containerxmrig: Monero - 1Mxmrig: Wownero - 1Mjpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100jpegxl-decode: 1jpegxl-decode: Allquadray: 1 - 4Kquadray: 2 - 4Kquadray: 3 - 4Kquadray: 5 - 4Kquadray: 1 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 5 - 1080psvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080popenvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalarstargate: 44100 - 512stargate: 96000 - 512stargate: 192000 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 96000 - 1024stargate: 192000 - 1024stargate: 480000 - 1024avifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigy-cruncher: 1By-cruncher: 500Monednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUcockroach: MoVR - 128cockroach: MoVR - 256cockroach: MoVR - 512cockroach: MoVR - 1024cockroach: KV, 10% Reads - 128cockroach: KV, 10% Reads - 256cockroach: KV, 10% Reads - 512cockroach: KV, 50% Reads - 128cockroach: KV, 50% Reads - 256cockroach: KV, 50% Reads - 512cockroach: KV, 60% Reads - 128cockroach: KV, 60% Reads - 256cockroach: KV, 60% Reads - 512cockroach: KV, 95% Reads - 128cockroach: KV, 95% Reads - 256cockroach: KV, 95% Reads - 512cockroach: KV, 10% Reads - 1024cockroach: KV, 50% Reads - 1024cockroach: KV, 60% Reads - 1024cockroach: KV, 95% Reads - 1024tensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamspacy: en_core_web_lgspacy: en_core_web_trfblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUnginx: 20nginx: 100nginx: 200nginx: 500nginx: 1000nginx: 4000encodec: 3 kbpsencodec: 6 kbpsencodec: 24 kbpsencodec: 1.5 kbpsbrl-cad: VGR Performance Metricuvg266: Bosphorus 1080p - Slowuvg266: Bosphorus 1080p - Mediumuvg266: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 1080p - Ultra Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third RunRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400519.8520.7944909970000035.667484275.4576140.23104.87316.73154.84576.57111.37963.211.1410.9510.8410.630.960.7966.41304.4710.322.822.420.7740.5110.759.363.073.03537.023126.653135.09310.34106.311523.708577.569163772.9641162.1616871.4321063.0386442.9014532.2295541.489762.970382142.82367.8616.6949.9674.37696.351287.71733.17915.0754.02954.45130.7518120.9960051.580042.598677.377725.412525.353147.072991.038681.349542897.041451.112894.83.251999.375933.296071452.021.641332899.281444.740.3142920.547845125.8125.8125.8125.36588.713607.432015.211791.723677.244990.415076.829982.14958166158.564003.957478.43860344158.44574854217.3114.99148.41170.3580.0127.4579.1527.2878.3627.044.7498631.59674.7177211.961648.614261.695845.658621.895549.289360.829442.93623.2829113.641626.386585.183811.733271.407742.002163.77815.675335.512484.454932.182531.06874.7474631.91214.7232211.71518874848134.76357.43173.741287.74433.055.32747.163.071299.353.011319.7370.0710.810.36386.14684.785.84527.787.5760.1966.421054.545.69701.425.716542.870.369515.290.6368924.1981219.4279667.0874959.9871972.1271632.4828.41128.35132.94727.09217368929.5833.1585.9390.67108.635.876.6119.5120.7825.1846.3847.88104.23128.89172.49.459.6524.4930.5641.9676.11627.0455546120000031.599213254.92801127.3285.14260.88127.81504.927820.910175.511.7111.5211.4211.240.930.8967.98320.9413.113.63.060.9850.9113.5711.843.883.66345.412151.27160.86812.041128.872609.385664.223206984.1679813.0031911.9580334.3093784.0510683.1114222.0792774.19985117.10856.2865.4528.1943.93978.9621022.51328.01112.7093.256394.3270.6001970.9514691.269342.499827.651344.391063.940377.325010.8107271.001192292.791153.922284.923.35877.643692.523061153.651.534062286.061151.660.2514550.436735126.6125.8126125.96681.113882.337644.811773.924135.451227.614780.930242.857896.58377481006.575589.847874.555451.258030.368924.1133.38178.79211.4897.0232.3295.8832.2194.3931.96.1324652.2146.0935164.101457.337869.747558.58517.062661.677864.81754.606818.3033145.760127.4305123.61878.083491.753743.584480.127512.475545.71687.485539.988425.00166.1271652.43246.0926164.1269194071059103.86273.02134.71987.28334.876.88580.853.891026.043.931013.26492.68.1113.6293.72878.344.55686.85.8281.249.241366.985.85815.544.921216.530.3712465.670.6488942.43101913.0499945.5194196.1589489.3387991.4126.9192731.22425.543914.96436.5996660100000026.423261175.06572104.2869.19201.8484.43351.061327914345.312.8812.7112.5712.361.020.9374.17212.7417.164.754.051.3165.917.715.725.234.51157.162185.429192.68913.663161.1685.384739.0282781355.2127993.7110852.4220285.3711735.0270593.9013512.5987025.26836693.7246.2874.1426.7323.57658.295731.36223.04710.7742.463883.1760.5837750.3617761.127071.528285.698083.461523.391075.209560.617440.8632191659.31844.7351657.571.844065.575452.13139843.7570.6567811654.84845.7320.186280.309279125.9125.5125.81267076.914338.943498.712631.325105.657623.614938.530313.764464.394461.695980.393584.755906.268221.771172.686491.7154.19217.93273.82117.7436.92118.9737.78117.3537.698.6528693.07028.0466124.270782.239972.930654.991118.179586.973568.936865.007815.3741204.983729.2496133.21177.5016128.588446.646493.192310.725963.246794.815347.40121.09258.6707691.46858.0472124.262319496139376.34200.2698.99713.99245.379.34640.675.241140.445.251137.54683.38.7718.31327.191180.35.08931.526.4499.4660.281858.446.451119.555.3527745.560.4316732.880.71131511.71129714.87124644.27116337.6825.46925.3729.12624.2961421.57856.8637131420000022.570834162.8275688.154.98165.963.18286.1913104.320480.912.1712.0211.911.640.990.9270.45267.2326.477.486.532.1103.2128.625.018.385.12866.416198.497197.39711.91174.404578.976518.1753441757.7808744.1886772.1894498.4110547.5203495.8870843.8086427.59092672.09537.7253.2165.5333.39743.41516.25519.6479.1011.734913.213190.4683510.37090.6775581.541885.599193.140412.34465.193240.4198330.5821881132.89576.3691141.291.757493.63051.40804577.9040.4339811138.44584.2740.1299450.209335122.8122.8122.2122.86757.613554.145991.31199724264.266871.114664.630094.374346.9109601.2129868.6117739.265240.283215.691613.2114820.8173.85260.05344.54143.3242.65145.5944.24143.444.5912.5384635.508211.635985.936397.80181.770864.736415.4417115.004469.443478.098812.7942295.178127.0898203.35514.9123182.395543.8473113.11028.836994.953484.237860.089816.637512.5601633.81511.632585.962119800180649.54130.3364.4470.3159.2114.36554.957.61045.767.591048.95762.1610.4928.27282.771851.754.311446.825.52134.3359.512903.285.511703.894.6944954.590.3526078.960.61197728.82194668.2177431.3149355.7326.07326.34530.44825.217255.43510.21756926800000178.37112.09333.39195.38644.834585.36231.79.148.938.878.680.840.8355.74269.987.452.171.70.5527.928.216.92.182.40531.611117.296123.3387.89987.111453.392497.712146752.5900081.8162991.1681832.7280482.5118931.9426771.2826592.641762180.89682.8349.12713.1665.841122.0391597.04542.6619.593125.3124.9125.4125.86631.213343.230654.111841.823659.641073.514590.129557.243959.359000.657642.856455.536820.541950.844079.655187.690.31102.4109.5747.9918.749.2919.2849.9419.716.0338497.15345.7894172.726426.8398111.749223.601142.364138.706577.417834.759828.761778.752438.083767.906914.721949.746260.296645.132822.153825.0525119.729722.80643.84486.0336497.20025.7776173.0775159071535154.16445.12217.841728.2536.661.92098.291.323016.231.323026.39205.5219.457.93503.59390.0210.25207.4928.9125.49156.75788.777.6318.6312.556329.920.946963.170.8627.08327.19531.17926.04714959822.4125.1464.1768.682.414.485.0614.4415.4918.9333.1234.4775.4594.93127.536.937.1317.7922.2230.7180.38200.59202.90255.53410.22156538300000178.13111.92333.43195.67644.845906201.59.259.089.098.920.840.8356.88271.977.412.181.70.5527.658.216.722.182.40831.553116.983123.7347.91586.714447.691497.217147752.5895811.8114171.1786182.721682.5034361.9454861.2846952.650367180.65282.4249.0513.1015.747121.3581592.6342.76619.645125.3124.9124.9124.8662213478.130683.911716.523631.140974.914628.729540.24398159140.65747056109.536894.841862.444239.555093.589.96102.84109.3548.0918.7349.1719.3249.9719.726.0197498.31225.7346174.377326.7489112.128323.351642.816639.250976.373334.762728.757878.563638.173768.093514.681648.823161.436743.808922.823324.685121.512621.927945.60085.9666501.93945.7122175.0597158851557154.3444.9216.931726.29535.471.92094.061.333012.861.333010.56205.7919.437.95503.11390.0310.25209.0228.725.57156.31790.357.58316.1312.656317.970.946960.140.8626.14326.20629.90125.01314955122.425.1364.1568.582.384.495.0614.4715.518.9233.234.4375.6395.03127.366.947.1217.8422.2630.66185.39194.52196.91185.2937.41243549200000242.52165.13387.78292.59796.755168.47122.99.889.719.759.590.880.8657.99304.224.571.311.080.3117.985.164.211.232.87337.998134.946141.4119.098103.929502.961537.886175933.7119772.5455321.6426013.9834383.5796662.8216041.8585523.868927140.71565.7236.97010.1204.90695.9321243.63843.36820.455124.2124.3124.4124.46690.813657.034012.012043.823946.245770.214829.229512.350477.069633.968318.567125.842546.149206.751715.565255.694.05108.31117.4354.7418.9456.0018.9257.5119.476.5068764.80446.1932161.464228.6697173.503622.705144.036642.0760118.513035.054828.520786.357257.802868.484214.597754.512991.479146.687521.416026.9302184.542823.223243.05726.4779765.89516.1961161.3888164591040119.20348.77171.621359.5418.182.521583.071.72328.11.72330.87249.83169.26429.89460.228.68181.1955.132.08124.62684.8914.5337710.65970.931.666606.331.5130.30531.03634.69129.12720507829.5532.9381.6388.33107.575.586.318.2919.5323.9443.3745.0292.71119.27165.298.678.922.2127.9338.31212.37228.27225.55185.8487.43443478200000239.47164.84388.7291.76785.445164.37156.99.879.729.779.610.880.8657.91304.234.551.311.080.3117.955.164.211.232.88937.934134.252142.9419.012103.774500.426533.941176933.6753622.5248471.6202423.9734043.5639792.8142641.8500663.85865140.47465.4257.01110.0784.98396.7781245.07143.6120.429124.8124.9124.6124.66770.51370434253.812118.224114.245816.514961.329664.750413.569900.268289.166905.64255149201.151692.865146.294.38107.89117.1454.7218.9755.9518.9457.519.436.4929765.83086.1844161.693128.7042173.132922.746643.955842.745116.534235.043428.5386.878657.509168.449914.605354.575191.495947.303521.137126.8142185.088723.172643.15126.5295761.82696.1829161.7337166321034119.15348.54171.281365.21419.62.511584.911.72334.051.72341.39249.2116.049.17432.13458.388.72179.6955.6132124.93694.5514.34376.1810.626046.321.656605.861.5130.42530.82235.27829.31820473329.3732.8681.7288.26107.55.576.2918.2519.4423.7743.6745.1392.56119.64164.98.678.8822.1127.7438.18209.34222.15224.48OpenBenchmarking.org

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM11240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30060090012001500SE +/- 0.67, N = 3255.53185.29255.44185.85519.85676.12914.961421.581. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM11240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1326395265SE +/- 0.027, N = 310.2217.41210.2177.43420.79427.04536.59956.8631. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

Hash: wyhash

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: SHA3-256

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: Spooky32

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: fasthash32

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: FarmHash128

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: t1ha2_atonce

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: FarmHash32 x86_64 AVX

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: t1ha0_aes_avx2 x86_64

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: MeowHash x86_64 AES-NI

Ryzen 5 7600: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 7 7700: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7900: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

12400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Core i5 13400: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe Periodic1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X15000M30000M45000M60000M75000MSE +/- 42366535.54, N = 356538300000435492000005692680000043478200000490997000005546120000066601000000713142000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X81624324035.6731.6026.4222.571. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60120180240300275.46254.93175.07162.831. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper Beam1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X50100150200250SE +/- 2.21, N = 3178.13242.52178.37239.47140.23127.32104.2888.10

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop Test1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 1.12, N = 3111.92165.13112.09164.84104.8785.1469.1954.98

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on Windshield1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X80160240320400SE +/- 1.87, N = 3333.43387.78333.39388.70316.73260.88201.84165.90

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal Installation1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60120180240300SE +/- 0.41, N = 3195.67292.59195.38291.76154.84127.8184.4363.18

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop Container1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2004006008001000SE +/- 3.17, N = 3644.80796.75644.83785.44576.50504.92351.06286.19

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1M1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15KSE +/- 5.44, N = 34590.05168.44585.35164.37111.37820.913279.013104.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1M1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4K8K12K16K20KSE +/- 15.59, N = 36201.57122.96231.77156.97963.210175.514345.320480.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 801240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.01, N = 39.259.889.149.8711.1411.7112.8812.171. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 901240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.01, N = 39.089.718.939.7210.9511.5212.7112.021. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 801240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.00, N = 39.099.758.879.7710.8411.4212.5711.901. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 901240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.01, N = 38.929.598.689.6110.6311.2412.3611.641. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 1001240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.22950.4590.68850.9181.1475SE +/- 0.00, N = 30.840.880.840.880.960.931.020.991. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 1001240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.20930.41860.62790.83721.0465SE +/- 0.00, N = 30.830.860.830.860.790.890.930.921. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 11240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1632486480SE +/- 0.12, N = 356.8857.9955.7457.9166.4167.9874.1770.45

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: All1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X70140210280350SE +/- 0.38, N = 3271.97304.22269.98304.23304.47320.94212.74267.23

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 4K1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X612182430SE +/- 0.00, N = 37.414.577.454.5510.3213.1117.1626.471. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 4K1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X246810SE +/- 0.00, N = 32.181.312.171.312.823.604.757.481. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 4K1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X246810SE +/- 0.00, N = 31.701.081.701.082.423.064.056.531. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 4K1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.47250.9451.41751.892.3625SE +/- 0.00, N = 30.550.310.550.310.770.981.312.101. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 1080p1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20406080100SE +/- 0.03, N = 327.6517.9827.9217.9540.5150.9165.90103.211. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 1080p1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X714212835SE +/- 0.00, N = 38.215.168.215.1610.7513.5717.7028.601. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 1080p1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X612182430SE +/- 0.00, N = 36.724.216.904.219.3611.8415.7225.011. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 1080p1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X246810SE +/- 0.00, N = 32.181.232.181.233.073.885.238.381. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4K1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.15382.30763.46144.61525.769SE +/- 0.004, N = 32.4082.8732.4052.8893.0353.6634.5115.1281. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4K1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1530456075SE +/- 0.10, N = 331.5538.0031.6137.9337.0245.4157.1666.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4K1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.26, N = 3116.98134.95117.30134.25126.65151.27185.43198.501. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4K1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.71, N = 3123.73141.41123.34142.94135.09160.87192.69197.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080p1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X48121620SE +/- 0.055, N = 37.9159.0987.8999.01210.34012.04113.66311.9101. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080p1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.36, N = 386.71103.9387.11103.77106.31128.87161.10174.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080p1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X150300450600750SE +/- 3.43, N = 3447.69502.96453.39500.43523.71609.39685.38578.981. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080p1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X160320480640800SE +/- 2.55, N = 3497.22537.89497.71533.94577.57664.22739.03518.181. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPC1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X70140210280350SE +/- 0.58, N = 3147175146176163206278344MIN: 15 / MAX: 2299MIN: 18 / MAX: 2713MIN: 15 / MAX: 2301MIN: 19 / MAX: 2712MIN: 21 / MAX: 2129MIN: 27 / MAX: 2543MIN: 38 / MAX: 3234MIN: 55 / MAX: 2868

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark Scalar1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.00, N = 3759375937798135175MIN: 7 / MAX: 1385MIN: 9 / MAX: 1775MIN: 7 / MAX: 1382MIN: 9 / MAX: 1779MIN: 7 / MAX: 1390MIN: 9 / MAX: 1750MIN: 13 / MAX: 2264MIN: 19 / MAX: 2252

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X246810SE +/- 0.000973, N = 32.5895813.7119772.5900083.6753622.9641164.1679815.2127997.7808741. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.94251.8852.82753.774.7125SE +/- 0.001647, N = 31.8114172.5455321.8162992.5248472.1616873.0031913.7110854.1886771. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.5451.091.6352.182.725SE +/- 0.000398, N = 31.1786181.6426011.1681831.6202421.4321061.9580332.4220282.1894491. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X246810SE +/- 0.002717, N = 32.7216803.9834382.7280483.9734043.0386444.3093785.3711738.4110541. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X246810SE +/- 0.001049, N = 32.5034363.5796662.5118933.5639792.9014534.0510685.0270597.5203491. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.32462.64923.97385.29846.623SE +/- 0.000675, N = 31.9454862.8216041.9426772.8142642.2295543.1114223.9013515.8870841. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.85691.71382.57073.42764.2845SE +/- 0.000775, N = 31.2846951.8585521.2826591.8500661.4897602.0792772.5987023.8086421. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X246810SE +/- 0.003281, N = 32.6503673.8689272.6417623.8586502.9703824.1998505.2683667.5909261. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 01240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.36, N = 3180.65140.72180.90140.47142.82117.1193.7272.101. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 21240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20406080100SE +/- 0.04, N = 382.4265.7282.8365.4367.8656.2946.2937.731. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 61240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.012, N = 39.0506.9709.1277.0116.6945.4524.1423.2161. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, Lossless1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.021, N = 313.10110.12013.16610.0789.9678.1946.7325.5331. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, Lossless1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.31422.62843.94265.25686.571SE +/- 0.021, N = 35.7474.9065.8414.9834.3763.9393.5763.3971. (CXX) g++ options: -O3 -fPIC -lm

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfig1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.34, N = 3121.3695.93122.0496.7896.3578.9658.3043.41

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfig1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30060090012001500SE +/- 0.19, N = 31592.631243.641597.051245.071287.721022.51731.36516.26

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1B1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1020304050SE +/- 0.13, N = 342.7743.3742.6643.6133.1828.0123.0519.65

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500M1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X510152025SE +/- 0.057, N = 319.64520.45519.59320.42915.07512.70910.7749.101

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.90661.81322.71983.62644.5334.029503.256392.463881.73491MIN: 3.77MIN: 2.9MIN: 2.23MIN: 1.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.00152.0033.00454.0065.00754.451304.327003.176003.21319MIN: 4.36MIN: 4.15MIN: 3.12MIN: 3.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.16920.33840.50760.67680.8460.7518120.6001970.5837750.468351MIN: 0.73MIN: 0.55MIN: 0.54MIN: 0.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.22410.44820.67230.89641.12050.9960050.9514690.3617760.370900MIN: 0.93MIN: 0.85MIN: 0.34MIN: 0.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.35550.7111.06651.4221.77751.5800401.2693401.1270700.677558MIN: 1.5MIN: 1.15MIN: 1.04MIN: 0.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.58471.16941.75412.33882.92352.598672.499821.528281.54188MIN: 2.52MIN: 2.28MIN: 1.45MIN: 1.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468107.377727.651345.698085.59919MIN: 7.29MIN: 7.22MIN: 5.61MIN: 5.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.21782.43563.65344.87126.0895.412524.391063.461523.14041MIN: 5.22MIN: 3.82MIN: 3.03MIN: 2.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1.20452.4093.61354.8186.02255.353143.940373.391072.34460MIN: 5.3MIN: 3.73MIN: 3.3MIN: 2.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468107.072997.325015.209565.19324MIN: 7MIN: 6.99MIN: 5.13MIN: 5.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.23370.46740.70110.93481.16851.0386800.8107270.6174400.419833MIN: 1MIN: 0.74MIN: 0.56MIN: 0.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.30360.60720.91081.21441.5181.3495401.0011900.8632190.582188MIN: 1.29MIN: 0.9MIN: 0.82MIN: 0.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002897.042292.791659.311132.89MIN: 2894.58MIN: 2263.98MIN: 1653.28MIN: 1126.661. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001451.111153.92844.74576.37MIN: 1446.43MIN: 1131.1MIN: 841.12MIN: 571.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002894.802284.921657.571141.29MIN: 2890.45MIN: 2256.32MIN: 1652.65MIN: 1136.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.75571.51142.26713.02283.77853.251993.358701.844061.75749MIN: 3.19MIN: 3.09MIN: 1.78MIN: 1.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X36912159.375937.643695.575453.63050MIN: 8.99MIN: 7.01MIN: 5.15MIN: 3.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.74161.48322.22482.96643.7083.296072.523062.131391.40804MIN: 3.13MIN: 2.34MIN: 2.04MIN: 1.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001452.021153.65843.76577.90MIN: 1449.41MIN: 1128.34MIN: 839.84MIN: 572.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.36930.73861.10791.47721.84651.6413301.5340600.6567810.433981MIN: 1.62MIN: 1.41MIN: 0.61MIN: 0.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030002899.282286.061654.841138.44MIN: 2894.06MIN: 2264.7MIN: 1650.57MIN: 1134.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X300600900120015001444.741151.66845.73584.27MIN: 1431.65MIN: 1129.92MIN: 841.79MIN: 578.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.07070.14140.21210.28280.35350.3142920.2514550.1862800.129945MIN: 0.3MIN: 0.22MIN: 0.17MIN: 0.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.12330.24660.36990.49320.61650.5478450.4367350.3092790.209335MIN: 0.52MIN: 0.39MIN: 0.28MIN: 0.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 1281240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.07, N = 3125.3124.2125.3124.8125.8126.6125.9122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 2561240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.00, N = 3124.9124.3124.9124.9125.8125.8125.5122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.10, N = 3124.9124.4125.4124.6125.8126.0125.8122.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.07, N = 3124.8124.4125.8124.6125.3125.9126.0122.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 1281240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X15003000450060007500SE +/- 28.90, N = 36622.06690.86631.26770.56588.76681.17076.96757.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 2561240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15KSE +/- 57.49, N = 313478.113657.013343.213704.013607.413882.314338.913554.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X10K20K30K40K50KSE +/- 56.87, N = 330683.934012.030654.134253.832015.237644.843498.745991.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 1281240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15KSE +/- 141.12, N = 311716.512043.811841.812118.211791.711773.912631.311997.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 2561240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X5K10K15K20K25KSE +/- 42.71, N = 323631.123946.223659.624114.223677.224135.425105.624264.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X14K28K42K56K70KSE +/- 45.17, N = 340974.945770.241073.545816.544990.451227.657623.666871.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 1281240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3K6K9K12K15KSE +/- 39.43, N = 314628.714829.214590.114961.315076.814780.914938.514664.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 2561240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X6K12K18K24K30KSE +/- 213.65, N = 329540.229512.329557.229664.729982.130242.830313.730094.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X16K32K48K64K80KSE +/- 42.65, N = 343981.050477.043959.350413.549581.057896.564464.374346.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 1281240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100KSE +/- 104.96, N = 359140.669633.959000.669900.266158.583774.094461.6109601.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 2561240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150KSE +/- 126.38, N = 357470.068318.557642.868289.164003.981006.595980.3129868.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 5121240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150KSE +/- 241.43, N = 356109.567125.856455.566905.657478.475589.893584.7117739.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X14K28K42K56K70KSE +/- 24.23, N = 336894.842546.136820.542551.038603.047874.555906.265240.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100KSE +/- 93.19, N = 341862.449206.741950.849201.144158.455451.268221.783215.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100KSE +/- 106.59, N = 344239.551715.544079.651692.845748.058030.371172.691613.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 10241240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20K40K60K80K100KSE +/- 72.44, N = 355093.565255.655187.665146.254217.368924.186491.7114820.8

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNet1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.07, N = 389.9694.0590.3194.38114.99133.38154.19173.85

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNet1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60120180240300SE +/- 0.40, N = 3102.84108.31102.40107.89148.41178.79217.93260.05

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNet1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X70140210280350SE +/- 0.25, N = 3109.35117.43109.57117.14170.35211.48273.82344.54

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNet1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.11, N = 348.0954.7447.9954.7280.0197.02117.74143.32

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-501240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1020304050SE +/- 0.01, N = 318.7318.9418.7018.9727.4532.3236.9242.65

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNet1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.07, N = 349.1756.0049.2955.9579.1595.88118.97145.59

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-501240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1020304050SE +/- 0.02, N = 319.3218.9219.2818.9427.2832.2137.7844.24

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNet1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.13, N = 349.9757.5149.9457.5078.3694.39117.35143.40

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-501240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1020304050SE +/- 0.02, N = 319.7219.4719.7119.4327.0431.9037.6944.59

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.0278, N = 36.01976.50686.03386.49294.74986.13248.652812.5384

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X170340510680850SE +/- 2.15, N = 3498.31764.80497.15765.83631.60652.21693.07635.51

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.0006, N = 35.73466.19325.78946.18444.71776.09358.046611.6359

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X50100150200250SE +/- 0.02, N = 3174.38161.46172.73161.69211.96164.10124.2785.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20406080100SE +/- 0.10, N = 326.7528.6726.8428.7048.6157.3482.2497.80

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.65, N = 3112.13173.50111.75173.1361.7069.7572.9381.77

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1428425670SE +/- 0.06, N = 323.3522.7123.6022.7545.6658.5954.9964.74

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1020304050SE +/- 0.11, N = 342.8244.0442.3643.9621.9017.0618.1815.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.17, N = 339.2542.0838.7142.7549.2961.6886.97115.00

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.50, N = 376.37118.5177.42116.5360.8364.8268.9469.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20406080100SE +/- 0.06, N = 334.7635.0534.7635.0442.9454.6165.0178.10

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X714212835SE +/- 0.05, N = 328.7628.5228.7628.5323.2818.3015.3712.79

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60120180240300SE +/- 0.33, N = 378.5686.3678.7586.88113.64145.76204.98295.18

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1326395265SE +/- 0.22, N = 338.1757.8038.0857.5126.3927.4329.2527.09

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.04, N = 368.0968.4867.9168.4585.18123.62133.21203.36

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X48121620SE +/- 0.0097, N = 314.681614.597714.721914.605311.73328.08347.50164.9123

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.05, N = 348.8254.5149.7554.5871.4191.75128.59182.40

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20406080100SE +/- 0.08, N = 361.4491.4860.3091.5042.0043.5846.6543.85

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.09, N = 343.8146.6945.1347.3063.7880.1393.19113.11

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X510152025SE +/- 0.0418, N = 322.823321.416022.153821.137115.675312.475510.72598.8369

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X20406080100SE +/- 0.07, N = 324.6926.9325.0526.8135.5145.7263.2594.95

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4080120160200SE +/- 0.37, N = 3121.51184.54119.73185.0984.4587.4994.8284.24

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1326395265SE +/- 0.02, N = 321.9323.2222.8123.1732.1839.9947.4060.09

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X1020304050SE +/- 0.05, N = 345.6043.0643.8443.1531.0725.0021.0916.64

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.0214, N = 35.96666.47796.03366.52954.74746.12718.670712.5601

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X170340510680850SE +/- 1.42, N = 3501.94765.90497.20761.83631.91652.43691.47633.82

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X3691215SE +/- 0.0097, N = 35.71226.19615.77766.18294.72326.09268.047211.6325

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X50100150200250SE +/- 0.25, N = 3175.06161.39173.08161.73211.72164.13124.2685.96

spaCy

The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lg1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4K8K12K16K20KSE +/- 53.42, N = 31588516459159071663218874194071949619800

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trf1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X400800120016002000SE +/- 2.60, N = 31557104015351034848105913931806

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-Only1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150SE +/- 0.02, N = 3154.30119.20154.16119.15134.76103.8676.3449.54

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-Only1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X100200300400500SE +/- 0.14, N = 3444.90348.77445.12348.54357.43273.02200.26130.33

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-Only1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X50100150200250SE +/- 0.17, N = 3216.93171.62217.84171.28173.74134.7198.9964.40

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-Only1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X4008001200160020001726.291359.501728.201365.211287.74987.28713.99470.30

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-Only1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X120240360480600535.47418.18536.66419.60433.05334.87245.37159.21

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X481216201.902.521.902.515.326.889.3414.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X50010001500200025002094.061583.072098.291584.91747.16580.85640.67554.95MIN: 2054 / MAX: 2144.08MIN: 1477.42 / MAX: 1887.76MIN: 2052.06 / MAX: 2136.02MIN: 1427.31 / MAX: 1889.25MIN: 702.8 / MAX: 764.81MIN: 540.23 / MAX: 609.84MIN: 582.42 / MAX: 667.21MIN: 524.6 / MAX: 612.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468101.331.701.321.703.073.895.247.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030003012.862328.103016.232334.051299.351026.041140.441045.76MIN: 2985.99 / MAX: 3074.98MIN: 2104.47 / MAX: 2986.35MIN: 2973.48 / MAX: 3071.33MIN: 2135.53 / MAX: 3065.89MIN: 1211.98 / MAX: 1428.07MIN: 926.38 / MAX: 1134.19MIN: 761.08 / MAX: 1262.9MIN: 892.85 / MAX: 1274.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X2468101.331.701.321.703.013.935.257.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X60012001800240030003010.562330.873026.392341.391319.701013.261137.541048.95MIN: 2966.05 / MAX: 3058.2MIN: 2130.11 / MAX: 3008.71MIN: 2963.75 / MAX: 3245.44MIN: 2163.53 / MAX: 3007.58MIN: 748.58 / MAX: 1432.8MIN: 678.12 / MAX: 1133.16MIN: 906.91 / MAX: 1301.86MIN: 661.91 / MAX: 1252.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X160320480640800205.79249.83205.52249.21370.07492.60683.30762.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X51015202519.4316.0019.4516.0410.808.118.7710.49MIN: 18.46 / MAX: 26.18MIN: 14.09 / MAX: 25.84MIN: 18.39 / MAX: 25.47MIN: 13.66 / MAX: 25.82MIN: 5.27 / MAX: 12.56MIN: 4.87 / MAX: 21.23MIN: 7.17 / MAX: 17.28MIN: 4.87 / MAX: 19.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X7142128357.959.267.939.1710.3613.6018.3128.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X110220330440550503.11429.89503.59432.13386.14293.72327.19282.77MIN: 498.88 / MAX: 511.99MIN: 339.29 / MAX: 913.71MIN: 492.41 / MAX: 512.07MIN: 360.39 / MAX: 940.27MIN: 369.36 / MAX: 391.28MIN: 175.59 / MAX: 313.02MIN: 305.59 / MAX: 336.37MIN: 272.65 / MAX: 321.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X400800120016002000390.03460.22390.02458.38684.78878.341180.301851.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X369121510.258.6810.258.725.844.555.084.31MIN: 10.11 / MAX: 17.66MIN: 7.54 / MAX: 17.41MIN: 10.08 / MAX: 16.3MIN: 7.54 / MAX: 22.25MIN: 3.64 / MAX: 14.42MIN: 3.21 / MAX: 16.73MIN: 3.14 / MAX: 13.29MIN: 2.7 / MAX: 13.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30060090012001500209.02181.19207.49179.69527.78686.80931.521446.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X122436486028.7055.1028.9155.617.575.826.445.52MIN: 28.15 / MAX: 35.06MIN: 43.43 / MAX: 57.02MIN: 28.13 / MAX: 34.69MIN: 41.77 / MAX: 68.79MIN: 6.66 / MAX: 10.78MIN: 3.04 / MAX: 18.04MIN: 3.32 / MAX: 13.96MIN: 2.89 / MAX: 13.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30609012015025.5732.0825.4932.0060.1981.2099.46134.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X306090120150156.31124.62156.75124.9366.4249.2460.2859.51MIN: 149.83 / MAX: 167MIN: 111.98 / MAX: 178.7MIN: 149.92 / MAX: 175.47MIN: 111.3 / MAX: 183.58MIN: 32.92 / MAX: 70.79MIN: 28.96 / MAX: 62.2MIN: 49.85 / MAX: 73.62MIN: 30.43 / MAX: 93.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X6001200180024003000790.35684.89788.77694.551054.541366.981858.442903.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X481216207.5814.537.6014.345.695.856.455.51MIN: 7.47 / MAX: 33.92MIN: 8.16 / MAX: 18.15MIN: 7.46 / MAX: 12.65MIN: 11.11 / MAX: 15.47MIN: 3.01 / MAX: 14.04MIN: 3.19 / MAX: 18.82MIN: 3.63 / MAX: 14.04MIN: 3.02 / MAX: 13.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X400800120016002000316.13377.00318.63376.18701.42815.541119.551703.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X369121512.6510.6012.5510.625.704.905.354.69MIN: 12.01 / MAX: 18.99MIN: 9.52 / MAX: 16.08MIN: 12.23 / MAX: 20.14MIN: 9.14 / MAX: 16.53MIN: 4.69 / MAX: 7.25MIN: 3.95 / MAX: 17.52MIN: 3.97 / MAX: 8.07MIN: 3.81 / MAX: 10.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X10K20K30K40K50K6317.975970.936329.926046.3216542.8721216.5327745.5644954.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.37350.7471.12051.4941.86750.941.660.941.650.360.370.430.35MIN: 0.91 / MAX: 6.48MIN: 0.97 / MAX: 2.79MIN: 0.9 / MAX: 6.47MIN: 1.27 / MAX: 2.22MIN: 0.22 / MAX: 2.91MIN: 0.23 / MAX: 12.52MIN: 0.25 / MAX: 8.27MIN: 0.22 / MAX: 8.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X6K12K18K24K30K6960.146606.336963.176605.869515.2912465.6716732.8826078.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X0.33980.67961.01941.35921.6990.861.510.861.510.630.640.710.61MIN: 0.83 / MAX: 6.58MIN: 1.14 / MAX: 2.14MIN: 0.84 / MAX: 6.54MIN: 1.11 / MAX: 1.95MIN: 0.35 / MAX: 8.21MIN: 0.36 / MAX: 12.08MIN: 0.38 / MAX: 8.93MIN: 0.35 / MAX: 8.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

Connections: 1

Ryzen 5 7600: The test quit with a non-zero exit status.

Ryzen 7 7700: The test quit with a non-zero exit status.

Ryzen 9 7900: The test quit with a non-zero exit status.

Ryzen 9 7950X: The test quit with a non-zero exit status.

Core i5 12400: The test quit with a non-zero exit status.

12400: The test quit with a non-zero exit status.

13400: The test quit with a non-zero exit status.

Core i5 13400: The test quit with a non-zero exit status.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 20Ryzen 5 7600Ryzen 7 770020K40K60K80K100K68924.1988942.431. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 20

Ryzen 9 7900: The test quit with a non-zero exit status.

Ryzen 9 7950X: The test quit with a non-zero exit status.

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 100Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K81219.42101913.04131511.71197728.821. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 100

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 200Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K79667.0899945.51129714.87194668.201. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 200

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X40K80K120K160K200K74959.9894196.15124644.27177431.301. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 500

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X30K60K90K120K150K71972.1289489.33116337.68149355.731. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 1000

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 4000Ryzen 5 7600Ryzen 7 770020K40K60K80K100K71632.4887991.411. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Connections: 4000

Ryzen 9 7900: The test quit with a non-zero exit status.

Ryzen 9 7950X: The test quit with a non-zero exit status.

Core i5 12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

12400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

Core i5 13400: The test quit with a non-zero exit status. E: unable to connect to 127.0.0.1:8089 Connection refused

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 3 kbps1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283526.1430.3127.0830.4328.4126.9225.4726.07

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 6 kbps1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283526.2131.0427.2030.8228.3527.0025.3726.35

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 24 kbps1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X81624324029.9034.6931.1835.2832.9531.2229.1330.45

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 1.5 kbps1240013400Core i5 12400Core i5 13400Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950X71421283525.0129.1326.0529.3227.0925.5424.3025.22

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.34VGR Performance Metric1240013400Core i5 12400Core i5 13400Ryzen 5 760040K80K120K160K200K1495512050781495982047331736891. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Slow1240013400Core i5 12400Core i5 13400Ryzen 5 760071421283522.4029.5522.4129.3729.58

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Medium1240013400Core i5 12400Core i5 13400Ryzen 5 760081624324025.1332.9325.1432.8633.15

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very Fast1240013400Core i5 12400Core i5 13400Ryzen 5 76002040608010064.1581.6364.1781.7285.93

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super Fast1240013400Core i5 12400Core i5 13400Ryzen 5 76002040608010068.5088.3368.6088.2690.67

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1240013400Core i5 12400Core i5 13400Ryzen 5 76002040608010082.38107.5782.41107.50108.63

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Slow1240013400Core i5 12400Core i5 13400Ryzen 5 76001.32082.64163.96245.28326.6044.495.584.485.575.87

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Medium1240013400Core i5 12400Core i5 13400Ryzen 5 76002468105.066.305.066.296.61

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Fast1240013400Core i5 12400Core i5 13400Ryzen 5 760051015202514.4718.2914.4418.2519.51

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Fast1240013400Core i5 12400Core i5 13400Ryzen 5 760051015202515.5019.5315.4919.4420.78

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Fast1240013400Core i5 12400Core i5 13400Ryzen 5 760061218243018.9223.9418.9323.7725.18

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Slow1240013400Core i5 12400Core i5 13400Ryzen 5 7600112233445533.2043.3733.1243.6746.381. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Medium1240013400Core i5 12400Core i5 13400Ryzen 5 7600112233445534.4345.0234.4745.1347.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very Fast1240013400Core i5 12400Core i5 13400Ryzen 5 76002040608010075.6392.7175.4592.56104.231. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super Fast1240013400Core i5 12400Core i5 13400Ryzen 5 760030609012015095.03119.2794.93119.64128.891. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1240013400Core i5 12400Core i5 13400Ryzen 5 76004080120160200127.36165.29127.53164.90172.401. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Slow1240013400Core i5 12400Core i5 13400Ryzen 5 760036912156.948.676.938.679.451. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Medium1240013400Core i5 12400Core i5 13400Ryzen 5 760036912157.128.907.138.889.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very Fast1240013400Core i5 12400Core i5 13400Ryzen 5 760061218243017.8422.2117.7922.1124.491. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super Fast1240013400Core i5 12400Core i5 13400Ryzen 5 760071421283522.2627.9322.2227.7430.561. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Fast1240013400Core i5 12400Core i5 13400Ryzen 5 7600102030405030.6638.3130.7038.1841.901. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cache1240013400Core i5 12400Core i5 1340050100150200250185.00212.37180.38209.34MIN: 6.4 / MAX: 6666.67MIN: 9.19 / MAX: 7500MIN: 6.59 / MAX: 6666.67MIN: 9.46 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Run1240013400Core i5 12400Core i5 1340050100150200250194.52228.27200.59222.15MIN: 6.8 / MAX: 7500MIN: 9.34 / MAX: 8571.43MIN: 6.72 / MAX: 7500MIN: 9.54 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Run1240013400Core i5 12400Core i5 1340050100150200250196.91225.55202.90224.48MIN: 6.79 / MAX: 7500MIN: 9.32 / MAX: 7500MIN: 6.79 / MAX: 8571.43MIN: 9.15 / MAX: 7500

201 Results Shown

miniBUDE:
  OpenMP - BM1:
    GFInst/s
    Billion Interactions/s
nekRS
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
OpenRadioss:
  Bumper Beam
  Cell Phone Drop Test
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  INIVOL and Fluid Structure Interaction Drop Container
Xmrig:
  Monero - 1M
  Wownero - 1M
JPEG XL libjxl:
  PNG - 80
  PNG - 90
  JPEG - 80
  JPEG - 90
  PNG - 100
  JPEG - 100
JPEG XL Decoding libjxl:
  1
  All
QuadRay:
  1 - 4K
  2 - 4K
  3 - 4K
  5 - 4K
  1 - 1080p
  2 - 1080p
  3 - 1080p
  5 - 1080p
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
OpenVKL:
  vklBenchmark ISPC
  vklBenchmark Scalar
Stargate Digital Audio Workstation:
  44100 - 512
  96000 - 512
  192000 - 512
  44100 - 1024
  480000 - 512
  96000 - 1024
  192000 - 1024
  480000 - 1024
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Y-Cruncher:
  1B
  500M
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
CockroachDB:
  MoVR - 128
  MoVR - 256
  MoVR - 512
  MoVR - 1024
  KV, 10% Reads - 128
  KV, 10% Reads - 256
  KV, 10% Reads - 512
  KV, 50% Reads - 128
  KV, 50% Reads - 256
  KV, 50% Reads - 512
  KV, 60% Reads - 128
  KV, 60% Reads - 256
  KV, 60% Reads - 512
  KV, 95% Reads - 128
  KV, 95% Reads - 256
  KV, 95% Reads - 512
  KV, 10% Reads - 1024
  KV, 50% Reads - 1024
  KV, 60% Reads - 1024
  KV, 95% Reads - 1024
TensorFlow:
  CPU - 16 - AlexNet
  CPU - 32 - AlexNet
  CPU - 64 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 16 - ResNet-50
  CPU - 32 - GoogLeNet
  CPU - 32 - ResNet-50
  CPU - 64 - GoogLeNet
  CPU - 64 - ResNet-50
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    items/sec
    ms/batch
spaCy:
  en_core_web_lg
  en_core_web_trf
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
nginx:
  20
  100
  200
  500
  1000
  4000
EnCodec:
  3 kbps
  6 kbps
  24 kbps
  1.5 kbps
BRL-CAD
uvg266:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run