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

Benchmarks for a future article on Phoronix.

HTML result view exported from: https://openbenchmarking.org/result/2301151-PTS-EO2022BE21&gru&sro.

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

AMD Ryzen Non-X vs. Intel Alder Lake/Raptor Lake benchmarks new cpusminibude: OpenMP - BM1nekrs: TurboPipe Periodicquadray: 1 - 4Kquadray: 2 - 4Kquadray: 3 - 4Kquadray: 5 - 4Kquadray: 1 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 5 - 1080popenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUsvt-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 1080puvg266: 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 Fastminibude: OpenMP - BM1xmrig: Monero - 1Mxmrig: Wownero - 1Mtensorflow: 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-50openvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalardeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-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 - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-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 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamjpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100jpegxl-decode: 1jpegxl-decode: Allcockroach: 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 - 1024clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runstargate: 44100 - 512stargate: 96000 - 512stargate: 192000 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 96000 - 1024stargate: 192000 - 1024stargate: 480000 - 1024nginx: 20nginx: 100nginx: 200nginx: 500nginx: 1000nginx: 4000spacy: en_core_web_lgspacy: en_core_web_trfbrl-cad: VGR Performance Metriconednn: 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 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-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 - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-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 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamopenfoam: 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 Containeravifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigy-cruncher: 1By-cruncher: 500Mblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyencodec: 3 kbpsencodec: 6 kbpsencodec: 24 kbpsencodec: 1.5 kbpsRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020.7944909970000010.322.822.420.7740.5110.759.363.075.323.073.01370.0710.36684.78527.7860.191054.54701.4216542.879515.293.03537.023126.653135.09310.34106.311523.708577.56929.5833.1585.9390.67108.635.876.6119.5120.7825.1846.3847.88104.23128.89172.49.459.6524.4930.5641.9519.857111.37963.2114.99148.41170.3580.0127.4579.1527.2878.3627.04163774.74984.717748.614245.658649.289342.936113.641685.183871.407763.77835.512432.18254.74744.723211.1410.9510.8410.630.960.7966.41304.47125.8125.8125.8125.36588.713607.432015.211791.723677.244990.415076.829982.14958166158.564003.957478.43860344158.44574854217.32.9641162.1616871.4321063.0386442.9014532.2295541.489762.97038268924.1981219.4279667.0874959.9871972.1271632.48188748481736894.02954.45130.7518120.9960051.580042.598677.377725.412525.353147.072991.038681.349542897.041451.112894.83.251999.375933.296071452.021.641332899.281444.740.3142920.547845747.161299.351319.710.8386.145.847.5766.425.695.70.360.63631.5967211.961661.695821.895560.829423.282926.386511.733242.002115.675384.454931.0687631.9121211.71535.667484275.4576140.23104.87316.73154.84576.5142.82367.8616.6949.9674.37696.351287.71733.17915.075134.76357.43173.741287.74433.0528.41128.35132.94727.09227.0455546120000013.113.63.060.9850.9113.5711.843.886.883.893.93492.613.6878.34686.881.21366.98815.5421216.5312465.673.66345.412151.27160.86812.041128.872609.385664.223676.1167820.910175.5133.38178.79211.4897.0232.3295.8832.2194.3931.9206986.13246.093557.337858.58561.677854.6068145.7601123.618791.753780.127545.71639.98846.12716.092611.7111.5211.4211.240.930.8967.98320.94126.6125.8126125.96681.113882.337644.811773.924135.451227.614780.930242.857896.58377481006.575589.847874.555451.258030.368924.14.1679813.0031911.9580334.3093784.0510683.1114222.0792774.1998588942.43101913.0499945.5194196.1589489.3387991.411940710593.256394.3270.6001970.9514691.269342.499827.651344.391063.940377.325010.8107271.001192292.791153.922284.923.35877.643692.523061153.651.534062286.061151.660.2514550.436735580.851026.041013.268.11293.724.555.8249.245.854.90.370.64652.214164.101469.747517.062664.81718.303327.43058.083443.584412.475587.485525.0016652.4324164.126931.599213254.92801127.3285.14260.88127.81504.92117.10856.2865.4528.1943.93978.9621022.51328.01112.709103.86273.02134.71987.28334.8726.9192731.22425.54336.5996660100000017.164.754.051.3165.917.715.725.239.345.245.25683.318.311180.3931.5299.461858.441119.5527745.5616732.884.51157.162185.429192.68913.663161.1685.384739.028914.9641327914345.3154.19217.93273.82117.7436.92118.9737.78117.3537.692781358.65288.046682.239954.991186.973565.0078204.9837133.2117128.588493.192363.246747.4018.67078.047212.8812.7112.5712.361.020.9374.17212.74125.9125.5125.81267076.914338.943498.712631.325105.657623.614938.530313.764464.394461.695980.393584.755906.268221.771172.686491.75.2127993.7110852.4220285.3711735.0270593.9013512.5987025.268366131511.71129714.87124644.27116337.681949613932.463883.1760.5837750.3617761.127071.528285.698083.461523.391075.209560.617440.8632191659.31844.7351657.571.844065.575452.13139843.7570.6567811654.84845.7320.186280.309279640.671140.441137.548.77327.195.086.4460.286.455.350.430.71693.0702124.270772.930618.179568.936815.374129.24967.501646.646410.725994.815321.0925691.4685124.262326.423261175.06572104.2869.19201.8484.43351.0693.7246.2874.1426.7323.57658.295731.36223.04710.77476.34200.2698.99713.99245.3725.46925.3729.12624.29656.8637131420000026.477.486.532.1103.2128.625.018.3814.367.67.59762.1628.271851.751446.82134.332903.281703.8944954.5926078.965.12866.416198.497197.39711.91174.404578.976518.1751421.57813104.320480.9173.85260.05344.54143.3242.65145.5944.24143.444.5934417512.538411.635997.80164.7364115.004478.0988295.1781203.3551182.3955113.110294.953460.089812.560111.632512.1712.0211.911.640.990.9270.45267.23122.8122.8122.2122.86757.613554.145991.31199724264.266871.114664.630094.374346.9109601.2129868.6117739.265240.283215.691613.2114820.87.7808744.1886772.1894498.4110547.5203495.8870843.8086427.590926197728.82194668.2177431.3149355.731980018061.734913.213190.4683510.37090.6775581.541885.599193.140412.34465.193240.4198330.5821881132.89576.3691141.291.757493.63051.40804577.9040.4339811138.44584.2740.1299450.209335554.951045.761048.9510.49282.774.315.5259.515.514.690.350.61635.508285.936381.770815.441769.443412.794227.08984.912343.84738.836984.237816.6375633.81585.962122.570834162.8275688.154.98165.963.18286.1972.09537.7253.2165.5333.39743.41516.25519.6479.10149.54130.3364.4470.3159.2126.07326.34530.44825.21710.217569268000007.452.171.70.5527.928.216.92.181.91.321.32205.527.93390.02207.4925.49788.77318.636329.926963.172.40531.611117.296123.3387.89987.111453.392497.71222.4125.1464.1768.682.414.485.0614.4415.4918.9333.1234.4775.4594.93127.536.937.1317.7922.2230.7255.4354585.36231.790.31102.4109.5747.9918.749.2919.2849.9419.71146756.03385.789426.839823.601138.706534.759878.752467.906949.746245.132825.052522.8066.03365.77769.148.938.878.680.840.8355.74269.98125.3124.9125.4125.86631.213343.230654.111841.823659.641073.514590.129557.243959.359000.657642.856455.536820.541950.844079.655187.6180.38200.59202.902.5900081.8162991.1681832.7280482.5118931.9426771.2826592.6417621590715351495982098.293016.233026.3919.45503.5910.2528.91156.757.612.550.940.86497.1534172.7264111.749242.364177.417828.761738.083714.721960.296622.1538119.729743.8448497.2002173.0775178.37112.09333.39195.38644.83180.89682.8349.12713.1665.841122.0391597.04542.6619.593154.16445.12217.841728.2536.6627.08327.19531.17926.04710.221565383000007.412.181.70.5527.658.216.722.181.91.331.33205.797.95390.03209.0225.57790.35316.136317.976960.142.40831.553116.983123.7347.91586.714447.691497.21722.425.1364.1568.582.384.495.0614.4715.518.9233.234.4375.6395.03127.366.947.1217.8422.2630.66255.53445906201.589.96102.84109.3548.0918.7349.1719.3249.9719.72147756.01975.734626.748923.351639.250934.762778.563668.093548.823143.808924.68521.92795.96665.71229.259.089.098.920.840.8356.88271.97125.3124.9124.9124.8662213478.130683.911716.523631.140974.914628.729540.24398159140.65747056109.536894.841862.444239.555093.5185.39194.52196.912.5895811.8114171.1786182.721682.5034361.9454861.2846952.6503671588515571495512094.063012.863010.5619.43503.1110.2528.7156.317.5812.650.940.86498.3122174.3773112.128342.816676.373328.757838.173714.681661.436722.8233121.512645.6008501.9394175.0597178.13111.92333.43195.67644.8180.65282.4249.0513.1015.747121.3581592.6342.76619.645154.3444.9216.931726.29535.4726.14326.20629.90125.0137.412435492000004.571.311.080.3117.985.164.211.232.521.71.7249.839.26460.22181.1932.08684.893775970.936606.332.87337.998134.946141.4119.098103.929502.961537.88629.5532.9381.6388.33107.575.586.318.2919.5323.9443.3745.0292.71119.27165.298.678.922.2127.9338.31185.2935168.47122.994.05108.31117.4354.7418.9456.0018.9257.5119.47175936.50686.193228.669722.705142.076035.054886.357268.484254.512946.687526.930223.22326.47796.19619.889.719.759.590.880.8657.99304.22124.2124.3124.4124.46690.813657.034012.012043.823946.245770.214829.229512.350477.069633.968318.567125.842546.149206.751715.565255.6212.37228.27225.553.7119772.5455321.6426013.9834383.5796662.8216041.8585523.8689271645910402050781583.072328.12330.8716429.898.6855.1124.6214.5310.61.661.51764.8044161.4642173.503644.0366118.513028.520757.802814.597791.479121.4160184.542843.0572765.8951161.3888242.52165.13387.78292.59796.75140.71565.7236.97010.1204.90695.9321243.63843.36820.455119.20348.77171.621359.5418.1830.30531.03634.69129.1277.434434782000004.551.311.080.3117.955.164.211.232.511.71.7249.219.17458.38179.6932694.55376.186046.326605.862.88937.934134.252142.9419.012103.774500.426533.94129.3732.8681.7288.26107.55.576.2918.2519.4423.7743.6745.1392.56119.64164.98.678.8822.1127.7438.18185.8485164.37156.994.38107.89117.1454.7218.9755.9518.9457.519.43176936.49296.184428.704222.746642.74535.043486.878668.449954.575147.303526.814223.17266.52956.18299.879.729.779.610.880.8657.91304.23124.8124.9124.6124.66770.51370434253.812118.224114.245816.514961.329664.750413.569900.268289.166905.64255149201.151692.865146.2209.34222.15224.483.6753622.5248471.6202423.9734043.5639792.8142641.8500663.858651663210342047331584.912334.052341.3916.04432.138.7255.61124.9314.3410.621.651.51765.8308161.6931173.132943.9558116.534228.5357.509114.605391.495921.1371185.088743.1512761.8269161.7337239.47164.84388.7291.76785.44140.47465.4257.01110.0784.98396.7781245.07143.6120.429119.15348.54171.281365.21419.630.42530.82235.27829.318OpenBenchmarking.org

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

nekRS

Input: TurboPipe Periodic

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

QuadRay

Scene: 1 - Resolution: 4K

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

QuadRay

Scene: 2 - Resolution: 4K

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

QuadRay

Scene: 3 - Resolution: 4K

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

QuadRay

Scene: 5 - Resolution: 4K

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

QuadRay

Scene: 1 - Resolution: 1080p

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

QuadRay

Scene: 2 - Resolution: 1080p

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

QuadRay

Scene: 3 - Resolution: 1080p

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

QuadRay

Scene: 5 - Resolution: 1080p

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Detection FP32 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 1080p

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

uvg266

Video Input: Bosphorus 1080p - Video Preset: Slow

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

uvg266

Video Input: Bosphorus 1080p - Video Preset: Medium

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

uvg266

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

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

uvg266

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

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

uvg266

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

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

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

uvg266

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

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

uvg266

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

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

uvg266

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

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

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Slow

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

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

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

Kvazaar

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

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

Kvazaar

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

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

Kvazaar

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

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

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

Kvazaar

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

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

Kvazaar

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

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

Kvazaar

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

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

Xmrig

Variant: Monero - Hash Count: 1M

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

Xmrig

Variant: Wownero - Hash Count: 1M

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

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

TensorFlow

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

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

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

TensorFlow

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

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

TensorFlow

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

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

OpenVKL

Benchmark: vklBenchmark ISPC

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

OpenVKL

Benchmark: vklBenchmark Scalar

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: 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

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

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

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

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

JPEG XL libjxl

Input: PNG - Quality: 80

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

JPEG XL libjxl

Input: PNG - Quality: 90

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

JPEG XL libjxl

Input: JPEG - Quality: 80

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

JPEG XL libjxl

Input: JPEG - Quality: 90

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

JPEG XL libjxl

Input: PNG - Quality: 100

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

JPEG XL libjxl

Input: JPEG - Quality: 100

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

CPU Threads: 1

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

JPEG XL Decoding libjxl

CPU Threads: All

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

CockroachDB

Workload: MoVR - Concurrency: 128

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

CockroachDB

Workload: MoVR - Concurrency: 256

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

CockroachDB

Workload: MoVR - Concurrency: 512

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

CockroachDB

Workload: MoVR - Concurrency: 1024

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

CockroachDB

Workload: KV, 10% Reads - Concurrency: 128

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

CockroachDB

Workload: KV, 10% Reads - Concurrency: 256

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

CockroachDB

Workload: KV, 10% Reads - Concurrency: 512

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

CockroachDB

Workload: KV, 50% Reads - Concurrency: 128

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

CockroachDB

Workload: KV, 50% Reads - Concurrency: 256

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

CockroachDB

Workload: KV, 50% Reads - Concurrency: 512

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

CockroachDB

Workload: KV, 60% Reads - Concurrency: 128

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

CockroachDB

Workload: KV, 60% Reads - Concurrency: 256

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

CockroachDB

Workload: KV, 60% Reads - Concurrency: 512

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

CockroachDB

Workload: KV, 95% Reads - Concurrency: 128

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

CockroachDB

Workload: KV, 95% Reads - Concurrency: 256

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

CockroachDB

Workload: KV, 95% Reads - Concurrency: 512

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

CockroachDB

Workload: KV, 10% Reads - Concurrency: 1024

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

CockroachDB

Workload: KV, 50% Reads - Concurrency: 1024

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

CockroachDB

Workload: KV, 60% Reads - Concurrency: 1024

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

CockroachDB

Workload: KV, 95% Reads - Concurrency: 1024

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

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

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

ClickHouse

100M Rows Hits Dataset, Second Run

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

ClickHouse

100M Rows Hits Dataset, Third Run

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

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 512

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

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 512

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

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 512

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

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 1024

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

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 512

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

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 1024

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

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

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

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 1024

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

nginx

Connections: 20

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

nginx

Connections: 100

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

nginx

Connections: 200

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

nginx

Connections: 500

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

nginx

Connections: 1000

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

nginx

Connections: 4000

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

spaCy

Model: en_core_web_lg

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

spaCy

Model: en_core_web_trf

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

BRL-CAD

VGR Performance Metric

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Detection FP32 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: 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

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

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

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream

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

Neural Magic DeepSparse

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

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

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

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

Model: Bumper Beam

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

OpenRadioss

Model: Cell Phone Drop Test

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

OpenRadioss

Model: Bird Strike on Windshield

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

OpenRadioss

Model: Rubber O-Ring Seal Installation

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

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

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

libavif avifenc

Encoder Speed: 0

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

libavif avifenc

Encoder Speed: 2

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

libavif avifenc

Encoder Speed: 6

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

libavif avifenc

Encoder Speed: 6, Lossless

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

libavif avifenc

Encoder Speed: 10, Lossless

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

Build: defconfig

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

Timed Linux Kernel Compilation

Build: allmodconfig

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

Pi Digits To Calculate: 1B

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

Y-Cruncher

Pi Digits To Calculate: 500M

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

Blender

Blend File: BMW27 - Compute: CPU-Only

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

Blender

Blend File: Classroom - Compute: CPU-Only

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

Blender

Blend File: Fishy Cat - Compute: CPU-Only

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

Blender

Blend File: Barbershop - Compute: CPU-Only

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

EnCodec

Target Bandwidth: 3 kbps

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

EnCodec

Target Bandwidth: 6 kbps

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

EnCodec

Target Bandwidth: 24 kbps

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

EnCodec

Target Bandwidth: 1.5 kbps

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

Phoronix Test Suite v10.8.5