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

Benchmarks for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2301151-PTS-EO2022BE21
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Ryzen 5 7600
January 05 2023
  4 Hours, 52 Minutes
Ryzen 7 7700
January 01 2023
  4 Hours, 7 Minutes
Ryzen 9 7900
December 28 2022
  3 Hours, 35 Minutes
Ryzen 9 7950X
December 27 2022
  3 Hours, 17 Minutes
Core i5 12400
January 12 2023
  5 Hours, 15 Minutes
12400
January 13 2023
  5 Hours, 13 Minutes
13400
January 14 2023
  11 Hours, 43 Minutes
Core i5 13400
January 15 2023
  4 Hours, 54 Minutes
Invert Behavior (Only Show Selected Data)
  5 Hours, 22 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


AMD Ryzen Non-X vs. Intel Alder Lake/Raptor Lake benchmarks new cpusProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR X670E HERO (0805 BIOS)AMD Device 14d832GB2000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Navi 21 HDMI AudioASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads)2000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6750 XT 12GB (2880/1124MHz)AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)2000GB Samsung SSD 980 PRO 2TB + 257GB Flash DriveIntel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads)ASUS PRIME Z790-P WIFI (0602 BIOS)Intel Device 7a272000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6700 XT 12GB (2855/1000MHz)Realtek ALC897ASUS VP28UIntel Device 7a70Intel Core i5-13400 @ 3.40GHz (10 Cores / 16 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Ryzen 5 7600: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7 7700: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7950X: Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa601203- Core i5 12400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25 - Thermald 2.4.9- 12400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25 - Thermald 2.4.9- 13400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25- Core i5 13400: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x25Python Details- Python 3.10.4Security Details- Ryzen 5 7600: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 7700: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7900: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Core i5 12400: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- 12400: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- 13400: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- Core i5 13400: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

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

AMD Ryzen Non-X vs. Intel Alder Lake/Raptor Lake benchmarks new cpusblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlybrl-cad: VGR Performance Metricclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runcockroach: 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 - 1024encodec: 3 kbpsencodec: 6 kbpsencodec: 24 kbpsencodec: 1.5 kbpsjpegxl-decode: 1jpegxl-decode: Alljpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100kvazaar: 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 Fastavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessminibude: OpenMP - BM1minibude: OpenMP - BM1nekrs: TurboPipe Periodicdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamnginx: 20nginx: 100nginx: 200nginx: 500nginx: 1000nginx: 4000onednn: 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 - CPUopenfoam: 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 Containeropenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalarquadray: 1 - 4Kquadray: 2 - 4Kquadray: 3 - 4Kquadray: 5 - 4Kquadray: 1 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 5 - 1080pspacy: en_core_web_lgspacy: en_core_web_trfstargate: 44100 - 512stargate: 96000 - 512stargate: 192000 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 96000 - 1024stargate: 192000 - 1024stargate: 480000 - 1024svt-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 1080ptensorflow: 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-50build-linux-kernel: defconfigbuild-linux-kernel: allmodconfiguvg266: 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 Fastxmrig: Monero - 1Mxmrig: Wownero - 1My-cruncher: 1By-cruncher: 500MRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400134.76357.43173.741287.74433.05173689125.8125.8125.8125.36588.713607.432015.211791.723677.244990.415076.829982.14958166158.564003.957478.43860344158.44574854217.328.41128.35132.94727.09266.41304.4711.1410.9510.8410.630.960.7946.3847.88104.23128.89172.49.459.6524.4930.5641.9142.82367.8616.6949.9674.376519.8520.794490997000004.7498631.59674.7177211.961648.614261.695845.658621.895549.289360.829442.93623.2829113.641626.386585.183811.733271.407742.002163.77815.675335.512484.454932.182531.06874.7474631.91214.7232211.71568924.1981219.4279667.0874959.9871972.1271632.484.02954.45130.7518120.9960051.580042.598677.377725.412525.353147.072991.038681.349542897.041451.112894.83.251999.375933.296071452.021.641332899.281444.740.3142920.54784535.667484275.4576140.23104.87316.73154.84576.55.32747.163.071299.353.011319.7370.0710.810.36386.14684.785.84527.787.5760.1966.421054.545.69701.425.716542.870.369515.290.631637710.322.822.420.7740.5110.759.363.07188748482.9641162.1616871.4321063.0386442.9014532.2295541.489762.9703823.03537.023126.653135.09310.34106.311523.708577.569114.99148.41170.3580.0127.4579.1527.2878.3627.0496.351287.71729.5833.1585.9390.67108.635.876.6119.5120.7825.187111.37963.233.17915.075103.86273.02134.71987.28334.87126.6125.8126125.96681.113882.337644.811773.924135.451227.614780.930242.857896.58377481006.575589.847874.555451.258030.368924.126.9192731.22425.54367.98320.9411.7111.5211.4211.240.930.89117.10856.2865.4528.1943.939676.11627.045554612000006.1324652.2146.0935164.101457.337869.747558.58517.062661.677864.81754.606818.3033145.760127.4305123.61878.083491.753743.584480.127512.475545.71687.485539.988425.00166.1271652.43246.0926164.126988942.43101913.0499945.5194196.1589489.3387991.413.256394.3270.6001970.9514691.269342.499827.651344.391063.940377.325010.8107271.001192292.791153.922284.923.35877.643692.523061153.651.534062286.061151.660.2514550.43673531.599213254.92801127.3285.14260.88127.81504.926.88580.853.891026.043.931013.26492.68.1113.6293.72878.344.55686.85.8281.249.241366.985.85815.544.921216.530.3712465.670.642069813.113.63.060.9850.9113.5711.843.881940710594.1679813.0031911.9580334.3093784.0510683.1114222.0792774.199853.66345.412151.27160.86812.041128.872609.385664.223133.38178.79211.4897.0232.3295.8832.2194.3931.978.9621022.5137820.910175.528.01112.70976.34200.2698.99713.99245.37125.9125.5125.81267076.914338.943498.712631.325105.657623.614938.530313.764464.394461.695980.393584.755906.268221.771172.686491.725.46925.3729.12624.29674.17212.7412.8812.7112.5712.361.020.9393.7246.2874.1426.7323.576914.96436.599666010000008.6528693.07028.0466124.270782.239972.930654.991118.179586.973568.936865.007815.3741204.983729.2496133.21177.5016128.588446.646493.192310.725963.246794.815347.40121.09258.6707691.46858.0472124.2623131511.71129714.87124644.27116337.682.463883.1760.5837750.3617761.127071.528285.698083.461523.391075.209560.617440.8632191659.31844.7351657.571.844065.575452.13139843.7570.6567811654.84845.7320.186280.30927926.423261175.06572104.2869.19201.8484.43351.069.34640.675.241140.445.251137.54683.38.7718.31327.191180.35.08931.526.4499.4660.281858.446.451119.555.3527745.560.4316732.880.7127813517.164.754.051.3165.917.715.725.231949613935.2127993.7110852.4220285.3711735.0270593.9013512.5987025.2683664.51157.162185.429192.68913.663161.1685.384739.028154.19217.93273.82117.7436.92118.9737.78117.3537.6958.295731.3621327914345.323.04710.77449.54130.3364.4470.3159.21122.8122.8122.2122.86757.613554.145991.31199724264.266871.114664.630094.374346.9109601.2129868.6117739.265240.283215.691613.2114820.826.07326.34530.44825.21770.45267.2312.1712.0211.911.640.990.9272.09537.7253.2165.5333.3971421.57856.8637131420000012.5384635.508211.635985.936397.80181.770864.736415.4417115.004469.443478.098812.7942295.178127.0898203.35514.9123182.395543.8473113.11028.836994.953484.237860.089816.637512.5601633.81511.632585.9621197728.82194668.2177431.3149355.731.734913.213190.4683510.37090.6775581.541885.599193.140412.34465.193240.4198330.5821881132.89576.3691141.291.757493.63051.40804577.9040.4339811138.44584.2740.1299450.20933522.570834162.8275688.154.98165.963.18286.1914.36554.957.61045.767.591048.95762.1610.4928.27282.771851.754.311446.825.52134.3359.512903.285.511703.894.6944954.590.3526078.960.6134417526.477.486.532.1103.2128.625.018.381980018067.7808744.1886772.1894498.4110547.5203495.8870843.8086427.5909265.12866.416198.497197.39711.91174.404578.976518.175173.85260.05344.54143.3242.65145.5944.24143.444.5943.41516.25513104.320480.919.6479.101154.16445.12217.841728.2536.66149598180.38200.59202.90125.3124.9125.4125.86631.213343.230654.111841.823659.641073.514590.129557.243959.359000.657642.856455.536820.541950.844079.655187.627.08327.19531.17926.04755.74269.989.148.938.878.680.840.8333.1234.4775.4594.93127.536.937.1317.7922.2230.7180.89682.8349.12713.1665.841255.43510.217569268000006.0338497.15345.7894172.726426.8398111.749223.601142.364138.706577.417834.759828.761778.752438.083767.906914.721949.746260.296645.132822.153825.0525119.729722.80643.84486.0336497.20025.7776173.0775178.37112.09333.39195.38644.831.92098.291.323016.231.323026.39205.5219.457.93503.59390.0210.25207.4928.9125.49156.75788.777.6318.6312.556329.920.946963.170.86146757.452.171.70.5527.928.216.92.181590715352.5900081.8162991.1681832.7280482.5118931.9426771.2826592.6417622.40531.611117.296123.3387.89987.111453.392497.71290.31102.4109.5747.9918.749.2919.2849.9419.71122.0391597.04522.4125.1464.1768.682.414.485.0614.4415.4918.934585.36231.742.6619.593154.3444.9216.931726.29535.47149551185.39194.52196.91125.3124.9124.9124.8662213478.130683.911716.523631.140974.914628.729540.24398159140.65747056109.536894.841862.444239.555093.526.14326.20629.90125.01356.88271.979.259.089.098.920.840.8333.234.4375.6395.03127.366.947.1217.8422.2630.66180.65282.4249.0513.1015.747255.53410.221565383000006.0197498.31225.7346174.377326.7489112.128323.351642.816639.250976.373334.762728.757878.563638.173768.093514.681648.823161.436743.808922.823324.685121.512621.927945.60085.9666501.93945.7122175.0597178.13111.92333.43195.67644.81.92094.061.333012.861.333010.56205.7919.437.95503.11390.0310.25209.0228.725.57156.31790.357.58316.1312.656317.970.946960.140.86147757.412.181.70.5527.658.216.722.181588515572.5895811.8114171.1786182.721682.5034361.9454861.2846952.6503672.40831.553116.983123.7347.91586.714447.691497.21789.96102.84109.3548.0918.7349.1719.3249.9719.72121.3581592.6322.425.1364.1568.582.384.495.0614.4715.518.9245906201.542.76619.645119.20348.77171.621359.5418.18205078212.37228.27225.55124.2124.3124.4124.46690.813657.034012.012043.823946.245770.214829.229512.350477.069633.968318.567125.842546.149206.751715.565255.630.30531.03634.69129.12757.99304.229.889.719.759.590.880.8643.3745.0292.71119.27165.298.678.922.2127.9338.31140.71565.7236.97010.1204.906185.2937.412435492000006.5068764.80446.1932161.464228.6697173.503622.705144.036642.0760118.513035.054828.520786.357257.802868.484214.597754.512991.479146.687521.416026.9302184.542823.223243.05726.4779765.89516.1961161.3888242.52165.13387.78292.59796.752.521583.071.72328.11.72330.87249.83169.26429.89460.228.68181.1955.132.08124.62684.8914.5337710.65970.931.666606.331.51175934.571.311.080.3117.985.164.211.231645910403.7119772.5455321.6426013.9834383.5796662.8216041.8585523.8689272.87337.998134.946141.4119.098103.929502.961537.88694.05108.31117.4354.7418.9456.0018.9257.5119.4795.9321243.63829.5532.9381.6388.33107.575.586.318.2919.5323.945168.47122.943.36820.455119.15348.54171.281365.21419.6204733209.34222.15224.48124.8124.9124.6124.66770.51370434253.812118.224114.245816.514961.329664.750413.569900.268289.166905.64255149201.151692.865146.230.42530.82235.27829.31857.91304.239.879.729.779.610.880.8643.6745.1392.56119.64164.98.678.8822.1127.7438.18140.47465.4257.01110.0784.983185.8487.434434782000006.4929765.83086.1844161.693128.7042173.132922.746643.955842.745116.534235.043428.5386.878657.509168.449914.605354.575191.495947.303521.137126.8142185.088723.172643.15126.5295761.82696.1829161.7337239.47164.84388.7291.76785.442.511584.911.72334.051.72341.39249.2116.049.17432.13458.388.72179.6955.6132124.93694.5514.34376.1810.626046.321.656605.861.51176934.551.311.080.3117.955.164.211.231663210343.6753622.5248471.6202423.9734043.5639792.8142641.8500663.858652.88937.934134.252142.9419.012103.774500.426533.94194.38107.89117.1454.7218.9755.9518.9457.519.4396.7781245.07129.3732.8681.7288.26107.55.576.2918.2519.4423.775164.37156.943.6120.429OpenBenchmarking.org

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.02, N = 3134.76103.8676.3449.54154.16154.30119.20119.15

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400100200300400500SE +/- 0.14, N = 3357.43273.02200.26130.33445.12444.90348.77348.54

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340050100150200250SE +/- 0.17, N = 3173.74134.7198.9964.40217.84216.93171.62171.28

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004008001200160020001287.74987.28713.99470.301728.201726.291359.501365.21

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400120240360480600433.05334.87245.37159.21536.66535.47418.18419.60

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.34VGR Performance MetricRyzen 5 7600Core i5 124001240013400Core i5 1340040K80K120K160K200K1736891495981495512050782047331. (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

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheCore i5 124001240013400Core i5 1340050100150200250180.38185.00212.37209.34MIN: 6.59 / MAX: 6666.67MIN: 6.4 / MAX: 6666.67MIN: 9.19 / MAX: 7500MIN: 9.46 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunCore i5 124001240013400Core i5 1340050100150200250200.59199.01228.27222.15MIN: 6.72 / MAX: 7500MIN: 6.76 / MAX: 6666.67MIN: 9.34 / MAX: 8571.43MIN: 9.54 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunCore i5 124001240013400Core i5 1340050100150200250202.90201.10225.55224.48MIN: 6.79 / MAX: 8571.43MIN: 6.78 / MAX: 7500MIN: 9.32 / MAX: 7500MIN: 9.15 / MAX: 7500

CockroachDB

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

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 128Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.07, N = 3125.8126.6125.9122.8125.3125.3124.2124.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 256Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.00, N = 3125.8125.8125.5122.8124.9124.9124.3124.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.10, N = 3125.8126.0125.8122.2125.4124.9124.4124.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.07, N = 3125.3125.9126.0122.8125.8124.8124.4124.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 128Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340015003000450060007500SE +/- 28.90, N = 36588.76681.17076.96757.66631.26622.06690.86770.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 256Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003K6K9K12K15KSE +/- 57.49, N = 313607.413882.314338.913554.113343.213478.113657.013704.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340010K20K30K40K50KSE +/- 56.87, N = 332015.237644.843498.745991.330654.130683.934012.034253.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003K6K9K12K15KSE +/- 141.12, N = 311791.711773.912631.311997.011841.811716.512043.812118.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 256Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134005K10K15K20K25KSE +/- 42.71, N = 323677.224135.425105.624264.223659.623631.123946.224114.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340014K28K42K56K70KSE +/- 45.17, N = 344990.451227.657623.666871.141073.540974.945770.245816.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003K6K9K12K15KSE +/- 39.43, N = 315076.814780.914938.514664.614590.114628.714829.214961.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 256Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134006K12K18K24K30KSE +/- 213.65, N = 329982.130242.830313.730094.329557.229540.229512.329664.7

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340016K32K48K64K80KSE +/- 42.65, N = 349581.057896.564464.374346.943959.343981.050477.050413.5

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 128Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020K40K60K80K100KSE +/- 104.96, N = 366158.583774.094461.6109601.259000.659140.669633.969900.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 256Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340030K60K90K120K150KSE +/- 126.38, N = 364003.981006.595980.3129868.657642.857470.068318.568289.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340030K60K90K120K150KSE +/- 241.43, N = 357478.475589.893584.7117739.256455.556109.567125.866905.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340014K28K42K56K70KSE +/- 24.23, N = 338603.047874.555906.265240.236820.536894.842546.142551.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020K40K60K80K100KSE +/- 93.19, N = 344158.455451.268221.783215.641950.841862.449206.749201.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020K40K60K80K100KSE +/- 106.59, N = 345748.058030.371172.691613.244079.644239.551715.551692.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020K40K60K80K100KSE +/- 72.44, N = 354217.368924.186491.7114820.855187.655093.565255.665146.2

EnCodec

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

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 3 kbpsRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340071421283528.4126.9225.4726.0727.0826.1430.3130.43

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 6 kbpsRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340071421283528.3527.0025.3726.3527.2026.2131.0430.82

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 24 kbpsRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340081624324032.9531.2229.1330.4531.1829.9034.6935.28

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 1.5 kbpsRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340071421283527.0925.5424.3025.2226.0525.0129.1329.32

JPEG XL Decoding libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 1Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001632486480SE +/- 0.12, N = 366.4167.9874.1770.4555.7456.8857.9957.91

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340070140210280350SE +/- 0.38, N = 3304.47320.94212.74267.23269.98271.97304.22304.23

JPEG XL libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 80Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.01, N = 311.1411.7112.8812.179.149.259.889.871. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 90Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.01, N = 310.9511.5212.7112.028.939.089.719.721. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 80Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.00, N = 310.8411.4212.5711.908.879.099.759.771. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 90Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.01, N = 310.6311.2412.3611.648.688.929.599.611. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134000.22950.4590.68850.9181.1475SE +/- 0.00, N = 30.960.931.020.990.840.840.880.881. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 100Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134000.20930.41860.62790.83721.0465SE +/- 0.00, N = 30.790.890.930.920.830.830.860.861. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowRyzen 5 7600Core i5 124001240013400Core i5 13400112233445546.3833.1233.2043.3743.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 5 7600Core i5 124001240013400Core i5 13400112233445547.8834.4734.4345.0245.131. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 5 7600Core i5 124001240013400Core i5 1340020406080100104.2375.4575.6392.7192.561. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 5 7600Core i5 124001240013400Core i5 13400306090120150128.8994.9395.03119.27119.641. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 5 7600Core i5 124001240013400Core i5 134004080120160200172.40127.53127.36165.29164.901. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowRyzen 5 7600Core i5 124001240013400Core i5 1340036912159.456.936.948.678.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumRyzen 5 7600Core i5 124001240013400Core i5 1340036912159.657.137.128.908.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 5 7600Core i5 124001240013400Core i5 1340061218243024.4917.7917.8422.2122.111. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 5 7600Core i5 124001240013400Core i5 1340071421283530.5622.2222.2627.9327.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 5 7600Core i5 124001240013400Core i5 13400102030405041.9030.7030.6638.3138.181. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.36, N = 3142.82117.1193.7272.10180.90180.65140.72140.471. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020406080100SE +/- 0.04, N = 367.8656.2946.2937.7382.8382.4265.7265.431. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.012, N = 36.6945.4524.1423.2169.1279.0506.9707.0111. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.021, N = 39.9678.1946.7325.53313.16613.10110.12010.0781. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001.31422.62843.94265.25686.571SE +/- 0.021, N = 34.3763.9393.5763.3975.8415.7474.9064.9831. (CXX) g++ options: -O3 -fPIC -lm

miniBUDE

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

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340030060090012001500SE +/- 0.67, N = 3519.85676.12914.961421.58255.44255.53185.29185.851. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001326395265SE +/- 0.027, N = 320.79427.04536.59956.86310.21710.2217.4127.4341. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

nekRS

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

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe PeriodicRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340015000M30000M45000M60000M75000MSE +/- 42366535.54, N = 349099700000554612000006660100000071314200000569268000005653830000043549200000434782000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.0278, N = 34.74986.13248.652812.53846.03386.01976.50686.4929

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400170340510680850SE +/- 2.15, N = 3631.60652.21693.07635.51497.15498.31764.80765.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.0006, N = 34.71776.09358.046611.63595.78945.73466.19326.1844

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340050100150200250SE +/- 0.02, N = 3211.96164.10124.2785.94172.73174.38161.46161.69

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020406080100SE +/- 0.10, N = 348.6157.3482.2497.8026.8426.7528.6728.70

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.65, N = 361.7069.7572.9381.77111.75112.13173.50173.13

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001428425670SE +/- 0.06, N = 345.6658.5954.9964.7423.6023.3522.7122.75

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001020304050SE +/- 0.11, N = 321.9017.0618.1815.4442.3642.8244.0443.96

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.17, N = 349.2961.6886.97115.0038.7139.2542.0842.75

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.50, N = 360.8364.8268.9469.4477.4276.37118.51116.53

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020406080100SE +/- 0.06, N = 342.9454.6165.0178.1034.7634.7635.0535.04

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400714212835SE +/- 0.05, N = 323.2818.3015.3712.7928.7628.7628.5228.53

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340060120180240300SE +/- 0.33, N = 3113.64145.76204.98295.1878.7578.5686.3686.88

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001326395265SE +/- 0.22, N = 326.3927.4329.2527.0938.0838.1757.8057.51

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.04, N = 385.18123.62133.21203.3667.9168.0968.4868.45

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340048121620SE +/- 0.0097, N = 311.73328.08347.50164.912314.721914.681614.597714.6053

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.05, N = 371.4191.75128.59182.4049.7548.8254.5154.58

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020406080100SE +/- 0.08, N = 342.0043.5846.6543.8560.3061.4491.4891.50

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.09, N = 363.7880.1393.19113.1145.1343.8146.6947.30

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400510152025SE +/- 0.0418, N = 315.675312.475510.72598.836922.153822.823321.416021.1371

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020406080100SE +/- 0.07, N = 335.5145.7263.2594.9525.0524.6926.9326.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.37, N = 384.4587.4994.8284.24119.73121.51184.54185.09

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001326395265SE +/- 0.02, N = 332.1839.9947.4060.0922.8121.9323.2223.17

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001020304050SE +/- 0.05, N = 331.0725.0021.0916.6443.8445.6043.0643.15

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.0214, N = 34.74746.12718.670712.56016.03365.96666.47796.5295

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400170340510680850SE +/- 1.42, N = 3631.91652.43691.47633.82497.20501.94765.90761.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003691215SE +/- 0.0097, N = 34.72326.09268.047211.63255.77765.71226.19616.1829

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340050100150200250SE +/- 0.25, N = 3211.72164.13124.2685.96173.08175.06161.39161.73

nginx

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

Connections: 1

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

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

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

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

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

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

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

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

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

Connections: 20

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

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

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

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

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

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

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

Connections: 100

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

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

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

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

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

Connections: 200

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

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

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

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

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

Connections: 500

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

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

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

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

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

Connections: 1000

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

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

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

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

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

Connections: 4000

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

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

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

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

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

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

oneDNN

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

OpenFOAM

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

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

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

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340050100150200250SE +/- 2.21, N = 3140.23127.32104.2888.10178.37178.13242.52239.47

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 1.12, N = 3104.8785.1469.1954.98112.09111.92165.13164.84

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340080160240320400SE +/- 1.87, N = 3316.73260.88201.84165.90333.39333.43387.78388.70

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340060120180240300SE +/- 0.41, N = 3154.84127.8184.4363.18195.38195.67292.59291.76

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134002004006008001000SE +/- 3.17, N = 3576.50504.92351.06286.19644.83644.80796.75785.44

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400481216205.326.889.3414.361.901.902.522.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134005001000150020002500747.16580.85640.67554.952098.292094.061583.071584.91MIN: 702.8 / MAX: 764.81MIN: 540.23 / MAX: 609.84MIN: 582.42 / MAX: 667.21MIN: 524.6 / MAX: 612.36MIN: 2052.06 / MAX: 2136.02MIN: 2054 / MAX: 2144.08MIN: 1477.42 / MAX: 1887.76MIN: 1427.31 / MAX: 1889.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134002468103.073.895.247.601.321.331.701.701. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340060012001800240030001299.351026.041140.441045.763016.233012.862328.102334.05MIN: 1211.98 / MAX: 1428.07MIN: 926.38 / MAX: 1134.19MIN: 761.08 / MAX: 1262.9MIN: 892.85 / MAX: 1274.02MIN: 2973.48 / MAX: 3071.33MIN: 2985.99 / MAX: 3074.98MIN: 2104.47 / MAX: 2986.35MIN: 2135.53 / MAX: 3065.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134002468103.013.935.257.591.321.331.701.701. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340060012001800240030001319.701013.261137.541048.953026.393010.562330.872341.39MIN: 748.58 / MAX: 1432.8MIN: 678.12 / MAX: 1133.16MIN: 906.91 / MAX: 1301.86MIN: 661.91 / MAX: 1252.57MIN: 2963.75 / MAX: 3245.44MIN: 2966.05 / MAX: 3058.2MIN: 2130.11 / MAX: 3008.71MIN: 2163.53 / MAX: 3007.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400160320480640800370.07492.60683.30762.16205.52205.79249.83249.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340051015202510.808.118.7710.4919.4519.4316.0016.04MIN: 5.27 / MAX: 12.56MIN: 4.87 / MAX: 21.23MIN: 7.17 / MAX: 17.28MIN: 4.87 / MAX: 19.49MIN: 18.39 / MAX: 25.47MIN: 18.46 / MAX: 26.18MIN: 14.09 / MAX: 25.84MIN: 13.66 / MAX: 25.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340071421283510.3613.6018.3128.277.937.959.269.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400110220330440550386.14293.72327.19282.77503.59503.11429.89432.13MIN: 369.36 / MAX: 391.28MIN: 175.59 / MAX: 313.02MIN: 305.59 / MAX: 336.37MIN: 272.65 / MAX: 321.95MIN: 492.41 / MAX: 512.07MIN: 498.88 / MAX: 511.99MIN: 339.29 / MAX: 913.71MIN: 360.39 / MAX: 940.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400400800120016002000684.78878.341180.301851.75390.02390.03460.22458.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340036912155.844.555.084.3110.2510.258.688.72MIN: 3.64 / MAX: 14.42MIN: 3.21 / MAX: 16.73MIN: 3.14 / MAX: 13.29MIN: 2.7 / MAX: 13.22MIN: 10.08 / MAX: 16.3MIN: 10.11 / MAX: 17.66MIN: 7.54 / MAX: 17.41MIN: 7.54 / MAX: 22.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340030060090012001500527.78686.80931.521446.82207.49209.02181.19179.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340012243648607.575.826.445.5228.9128.7055.1055.61MIN: 6.66 / MAX: 10.78MIN: 3.04 / MAX: 18.04MIN: 3.32 / MAX: 13.96MIN: 2.89 / MAX: 13.87MIN: 28.13 / MAX: 34.69MIN: 28.15 / MAX: 35.06MIN: 43.43 / MAX: 57.02MIN: 41.77 / MAX: 68.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340030609012015060.1981.2099.46134.3325.4925.5732.0832.001. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340030609012015066.4249.2460.2859.51156.75156.31124.62124.93MIN: 32.92 / MAX: 70.79MIN: 28.96 / MAX: 62.2MIN: 49.85 / MAX: 73.62MIN: 30.43 / MAX: 93.61MIN: 149.92 / MAX: 175.47MIN: 149.83 / MAX: 167MIN: 111.98 / MAX: 178.7MIN: 111.3 / MAX: 183.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340060012001800240030001054.541366.981858.442903.28788.77790.35684.89694.551. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400481216205.695.856.455.517.607.5814.5314.34MIN: 3.01 / MAX: 14.04MIN: 3.19 / MAX: 18.82MIN: 3.63 / MAX: 14.04MIN: 3.02 / MAX: 13.92MIN: 7.46 / MAX: 12.65MIN: 7.47 / MAX: 33.92MIN: 8.16 / MAX: 18.15MIN: 11.11 / MAX: 15.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400400800120016002000701.42815.541119.551703.89318.63316.13377.00376.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340036912155.704.905.354.6912.5512.6510.6010.62MIN: 4.69 / MAX: 7.25MIN: 3.95 / MAX: 17.52MIN: 3.97 / MAX: 8.07MIN: 3.81 / MAX: 10.73MIN: 12.23 / MAX: 20.14MIN: 12.01 / MAX: 18.99MIN: 9.52 / MAX: 16.08MIN: 9.14 / MAX: 16.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340010K20K30K40K50K16542.8721216.5327745.5644954.596329.926317.975970.936046.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134000.37350.7471.12051.4941.86750.360.370.430.350.940.941.661.65MIN: 0.22 / MAX: 2.91MIN: 0.23 / MAX: 12.52MIN: 0.25 / MAX: 8.27MIN: 0.22 / MAX: 8.03MIN: 0.9 / MAX: 6.47MIN: 0.91 / MAX: 6.48MIN: 0.97 / MAX: 2.79MIN: 1.27 / MAX: 2.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134006K12K18K24K30K9515.2912465.6716732.8826078.966963.176960.146606.336605.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134000.33980.67961.01941.35921.6990.630.640.710.610.860.861.511.51MIN: 0.35 / MAX: 8.21MIN: 0.36 / MAX: 12.08MIN: 0.38 / MAX: 8.93MIN: 0.35 / MAX: 8.79MIN: 0.84 / MAX: 6.54MIN: 0.83 / MAX: 6.58MIN: 1.14 / MAX: 2.14MIN: 1.11 / MAX: 1.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340070140210280350SE +/- 0.58, N = 3163206278344146147175176MIN: 21 / MAX: 2129MIN: 27 / MAX: 2543MIN: 38 / MAX: 3234MIN: 55 / MAX: 2868MIN: 15 / MAX: 2301MIN: 15 / MAX: 2299MIN: 18 / MAX: 2713MIN: 19 / MAX: 2712

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.00, N = 3779813517575759393MIN: 7 / MAX: 1390MIN: 9 / MAX: 1750MIN: 13 / MAX: 2264MIN: 19 / MAX: 2252MIN: 7 / MAX: 1382MIN: 7 / MAX: 1385MIN: 9 / MAX: 1775MIN: 9 / MAX: 1779

QuadRay

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

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 4KRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400612182430SE +/- 0.00, N = 310.3213.1117.1626.477.457.414.574.551. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 4KRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400246810SE +/- 0.00, N = 32.823.604.757.482.172.181.311.311. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 4KRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400246810SE +/- 0.00, N = 32.423.064.056.531.701.701.081.081. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 4KRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134000.47250.9451.41751.892.3625SE +/- 0.00, N = 30.770.981.312.100.550.550.310.311. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 1080pRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340020406080100SE +/- 0.03, N = 340.5150.9165.90103.2127.9227.6517.9817.951. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 1080pRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400714212835SE +/- 0.00, N = 310.7513.5717.7028.608.218.215.165.161. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 1080pRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400612182430SE +/- 0.00, N = 39.3611.8415.7225.016.906.724.214.211. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 1080pRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400246810SE +/- 0.00, N = 33.073.885.238.382.182.181.231.231. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

SMHasher

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

Hash: wyhash

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

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

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

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

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

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

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

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

Hash: SHA3-256

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

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

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

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

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

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

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

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

Hash: Spooky32

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

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

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

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

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

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

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

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

Hash: fasthash32

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

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

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

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

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

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

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

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

Hash: FarmHash128

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

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

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

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

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

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

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

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

Hash: t1ha2_atonce

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

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

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

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

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

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

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

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

Hash: FarmHash32 x86_64 AVX

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

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

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

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

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

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

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

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

Hash: t1ha0_aes_avx2 x86_64

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

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

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

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

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

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

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

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

Hash: MeowHash x86_64 AES-NI

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

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

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

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

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

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

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

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

spaCy

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

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004K8K12K16K20KSE +/- 53.42, N = 31887419407194961980015907158851645916632

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400400800120016002000SE +/- 2.60, N = 38481059139318061535155710401034

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400246810SE +/- 0.000973, N = 32.9641164.1679815.2127997.7808742.5900082.5895813.7119773.6753621. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134000.94251.8852.82753.774.7125SE +/- 0.001647, N = 32.1616873.0031913.7110854.1886771.8162991.8114172.5455322.5248471. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134000.5451.091.6352.182.725SE +/- 0.000398, N = 31.4321061.9580332.4220282.1894491.1681831.1786181.6426011.6202421. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400246810SE +/- 0.002717, N = 33.0386444.3093785.3711738.4110542.7280482.7216803.9834383.9734041. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400246810SE +/- 0.001049, N = 32.9014534.0510685.0270597.5203492.5118932.5034363.5796663.5639791. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001.32462.64923.97385.29846.623SE +/- 0.000675, N = 32.2295543.1114223.9013515.8870841.9426771.9454862.8216042.8142641. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134000.85691.71382.57073.42764.2845SE +/- 0.000775, N = 31.4897602.0792772.5987023.8086421.2826591.2846951.8585521.8500661. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400246810SE +/- 0.003281, N = 32.9703824.1998505.2683667.5909262.6417622.6503673.8689273.8586501. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001.15382.30763.46144.61525.769SE +/- 0.004, N = 33.0353.6634.5115.1282.4052.4082.8732.8891. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001530456075SE +/- 0.10, N = 337.0245.4157.1666.4231.6131.5538.0037.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.26, N = 3126.65151.27185.43198.50117.30116.98134.95134.251. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.71, N = 3135.09160.87192.69197.40123.34123.73141.41142.941. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340048121620SE +/- 0.055, N = 310.34012.04113.66311.9107.8997.9159.0989.0121. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.36, N = 3106.31128.87161.10174.4087.1186.71103.93103.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400150300450600750SE +/- 3.43, N = 3523.71609.39685.38578.98453.39447.69502.96500.431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400160320480640800SE +/- 2.55, N = 3577.57664.22739.03518.18497.71497.22537.89533.941. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004080120160200SE +/- 0.07, N = 3114.99133.38154.19173.8590.3189.9694.0594.38

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340060120180240300SE +/- 0.40, N = 3148.41178.79217.93260.05102.40102.84108.31107.89

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340070140210280350SE +/- 0.25, N = 3170.35211.48273.82344.54109.57109.35117.43117.14

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.11, N = 380.0197.02117.74143.3247.9948.0954.7454.72

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001020304050SE +/- 0.01, N = 327.4532.3236.9242.6518.7018.7318.9418.97

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.07, N = 379.1595.88118.97145.5949.2949.1756.0055.95

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001020304050SE +/- 0.02, N = 327.2832.2137.7844.2419.2819.3218.9218.94

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.13, N = 378.3694.39117.35143.4049.9449.9757.5157.50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50Ryzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001020304050SE +/- 0.02, N = 327.0431.9037.6944.5919.7119.7219.4719.43

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400306090120150SE +/- 0.34, N = 396.3578.9658.3043.41122.04121.3695.9396.78

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 1340030060090012001500SE +/- 0.19, N = 31287.721022.51731.36516.261597.051592.631243.641245.07

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: SlowRyzen 5 7600Core i5 124001240013400Core i5 1340071421283529.5822.4122.4029.5529.37

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 5 7600Core i5 124001240013400Core i5 1340081624324033.1525.1425.1332.9332.86

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 5 7600Core i5 124001240013400Core i5 134002040608010085.9364.1764.1581.6381.72

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 5 7600Core i5 124001240013400Core i5 134002040608010090.6768.6068.5088.3388.26

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 5 7600Core i5 124001240013400Core i5 1340020406080100108.6382.4182.38107.57107.50

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowRyzen 5 7600Core i5 124001240013400Core i5 134001.32082.64163.96245.28326.6045.874.484.495.585.57

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumRyzen 5 7600Core i5 124001240013400Core i5 134002468106.615.065.066.306.29

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 5 7600Core i5 124001240013400Core i5 1340051015202519.5114.4414.4718.2918.25

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 5 7600Core i5 124001240013400Core i5 1340051015202520.7815.4915.5019.5319.44

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 5 7600Core i5 124001240013400Core i5 1340061218243025.1818.9318.9223.9423.77

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134003K6K9K12K15KSE +/- 5.44, N = 37111.37820.913279.013104.34585.34590.05168.45164.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134004K8K12K16K20KSE +/- 15.59, N = 37963.210175.514345.320480.96231.76201.57122.97156.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Y-Cruncher

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

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 134001020304050SE +/- 0.13, N = 333.1828.0123.0519.6542.6642.7743.3743.61

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MRyzen 5 7600Ryzen 7 7700Ryzen 9 7900Ryzen 9 7950XCore i5 124001240013400Core i5 13400510152025SE +/- 0.057, N = 315.07512.70910.7749.10119.59319.64520.45520.429

201 Results Shown

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