2023-02-25-0937

Docker testing on Ubuntu 20.04.4 LTS via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302251-NE-20230225022
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ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores
February 25 2023
  17 Hours, 21 Minutes
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2023-02-25-0937OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper PRO 3955WX 16-Cores @ 3.90GHz (16 Cores / 32 Threads)ASUS Pro WS WRX80E-SAGE SE WIFI (0602 BIOS)AMD Starship/Matisse256GB4 x 2000GB Samsung SSD 970 EVO Plus 2TB + 1000GB Samsung SSD 970 EVO Plus 1TB + 500GB Western Digital WDS500G2B0BASPEED 16GB (2450MHz)Intel Device 4f922 x DELL U2312HM + 28E8502 x Intel 10G X550TUbuntu 20.04.4 LTS6.2.0-1275.native (x86_64)OpenCL 2.1 AMD-APP (3513.0)1.2.182GCC 9.4.0overlayfs1920x1080DockerProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelOpenCLVulkanCompilerFile-SystemScreen ResolutionSystem Layer2023-02-25-0937 BenchmarksSystem Logs- amdgpu.ppfeaturemask=0xffffffff amdgpu.vm_block_size=10 amdgpu.vm_size=1024 - Transparent Huge Pages: always- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301055- Python 3.8.10- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

2023-02-25-0937shoc: OpenCL - S3Dshoc: OpenCL - Triadshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashshoc: OpenCL - Reductionshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Max SP Flopsshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Texture Read Bandwidthlczero: BLASonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - 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: 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 - CPUnumpy: deepspeech: CPUrbenchmark: rnnoise: deepsparse: 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 Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - 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: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamspacy: en_core_web_lgspacy: en_core_web_trfcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: AlexNet - CPU - 1000caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 1000mnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: CPU - mnasnetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - shufflenet-v2tnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1plaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - ResNet 50 - CPUopenvino: 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 - CPUnumenta-nab: KNN CADnumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Contextual Anomaly Detector OSEmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionscikit-learn: Sparse Rand Projections, 100 Iterationsopencv: DNN - Deep Neural NetworkASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores286.98012.62002417.7316.8369309.9745888.79807877313.893914.1144447.31312372.605153.789931.327300.4658605.098644.068263.610815.931091.885252.542832284.141408.742287.001398.040.8937742287.071399.200.888573428.1957.592290.201217.87314.0746566.954210.348596.6234158.888150.294665.707115.209855.5996143.657426.613437.565079.1737100.905650.213819.9012169.134547.2472109.99669.0813113.608170.342576.365913.086718.1721439.425614.601168.471657.5925138.732638.963425.656714.0699568.026210.328496.812412737118360942121450603284151515302462150703717.2502.7694.70924.7397.3754.9853.33927.33914.275.665.036.387.772.7713.4728.088.996.4316.7020.6615.3719.57149.358.004.988.542.463.272.748.711.815.954.792.741.985.4510.095.794.67166.513.112.392551.153255.67364.261233.17032.096.975.121548.993.422312.143.382329.14440.8618.135.881353.76495.2016.15485.0216.4853.70148.88582.3227.46694.0311.5114801.731.0716201.400.98118.7115.01973.57943.18150.8637.3619.961.51159.0057037OpenBenchmarking.org

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores60120180240300SE +/- 0.29, N = 3286.981. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.03, N = 312.621. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores5001000150020002500SE +/- 0.71, N = 32417.731. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.00, N = 316.841. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores70140210280350SE +/- 0.60, N = 3309.971. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores13002600390052006500SE +/- 4.69, N = 35888.791. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores2M4M6M8M10MSE +/- 61430.57, N = 380787731. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.00, N = 313.891. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.00, N = 314.111. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores100200300400500SE +/- 2.64, N = 3447.311. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30060090012001500SE +/- 8.45, N = 312371. (CXX) g++ options: -flto -pthread

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: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.58621.17241.75862.34482.931SE +/- 0.01318, N = 32.60515MIN: 2.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.85271.70542.55813.41084.2635SE +/- 0.00629, N = 33.78993MIN: 3.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.29860.59720.89581.19441.493SE +/- 0.00076, N = 31.32730MIN: 1.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.10480.20960.31440.41920.524SE +/- 0.000464, N = 30.465860MIN: 0.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.14722.29443.44164.58885.736SE +/- 0.00163, N = 35.09864MIN: 5.021. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.91541.83082.74623.66164.577SE +/- 0.03564, N = 154.06826MIN: 3.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.81241.62482.43723.24964.062SE +/- 0.01772, N = 33.61081MIN: 3.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.33452.6694.00355.3386.6725SE +/- 0.01049, N = 35.93109MIN: 5.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.42420.84841.27261.69682.121SE +/- 0.00284, N = 31.88525MIN: 1.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.57211.14421.71632.28842.8605SE +/- 0.00091, N = 32.54283MIN: 2.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores5001000150020002500SE +/- 6.20, N = 32284.14MIN: 2251.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30060090012001500SE +/- 4.60, N = 31408.74MIN: 1385.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores5001000150020002500SE +/- 3.22, N = 32287.00MIN: 2262.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30060090012001500SE +/- 6.53, N = 31398.04MIN: 1368.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.20110.40220.60330.80441.0055SE +/- 0.002397, N = 30.893774MIN: 0.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores5001000150020002500SE +/- 1.32, N = 32287.07MIN: 2268.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30060090012001500SE +/- 2.96, N = 31399.20MIN: 1380.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.19990.39980.59970.79960.9995SE +/- 0.001776, N = 30.888573MIN: 0.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores90180270360450SE +/- 0.13, N = 3428.19

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1326395265SE +/- 0.10, N = 357.59

R Benchmark

This test is a quick-running survey of general R performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterR BenchmarkASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.04530.09060.13590.18120.2265SE +/- 0.0005, N = 30.20121. R scripting front-end version 3.6.3 (2020-02-29)

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.04, N = 317.871. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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.

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Device: CPU - Batch Size: 32 - Model: VGG-16

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Device: CPU - Batch Size: 64 - Model: VGG-16

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Device: CPU - Batch Size: 256 - Model: VGG-16

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Device: CPU - Batch Size: 512 - Model: VGG-16

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Device: CPU - Batch Size: 512 - Model: AlexNet

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

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

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Device: CPU - Batch Size: 512 - Model: GoogLeNet

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Device: CPU - Batch Size: 512 - Model: ResNet-50

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.00, N = 314.07

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores120240360480600SE +/- 0.69, N = 3566.95

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.00, N = 310.35

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores20406080100SE +/- 0.02, N = 396.62

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores4080120160200SE +/- 0.15, N = 3158.89

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1122334455SE +/- 0.05, N = 350.29

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1530456075SE +/- 0.22, N = 365.71

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.05, N = 315.21

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1224364860SE +/- 0.21, N = 355.60

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores306090120150SE +/- 0.54, N = 3143.66

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores612182430SE +/- 0.09, N = 326.61

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores918273645SE +/- 0.13, N = 337.57

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores20406080100SE +/- 0.16, N = 379.17

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores20406080100SE +/- 0.17, N = 3100.91

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1122334455SE +/- 0.09, N = 350.21

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores510152025SE +/- 0.04, N = 319.90

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores4080120160200SE +/- 0.13, N = 3169.13

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1122334455SE +/- 0.04, N = 347.25

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores20406080100SE +/- 0.36, N = 3110.00

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.0294, N = 39.0813

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores306090120150SE +/- 0.08, N = 3113.61

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1632486480SE +/- 0.04, N = 370.34

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores20406080100SE +/- 0.17, N = 376.37

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.03, N = 313.09

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.01, N = 318.17

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores100200300400500SE +/- 0.19, N = 3439.43

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.02, N = 314.60

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1530456075SE +/- 0.10, N = 368.47

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1326395265SE +/- 0.06, N = 357.59

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores306090120150SE +/- 0.08, N = 3138.73

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores918273645SE +/- 0.12, N = 338.96

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores612182430SE +/- 0.08, N = 325.66

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.01, N = 314.07

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores120240360480600SE +/- 0.27, N = 3568.03

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.01, N = 310.33

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores20406080100SE +/- 0.10, N = 396.81

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_lgASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3K6K9K12K15KSE +/- 32.15, N = 312737

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30060090012001500SE +/- 3.79, N = 31183

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores13K26K39K52K65KSE +/- 142.99, N = 3609421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30K60K90K120K150KSE +/- 323.13, N = 31214501. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores130K260K390K520K650KSE +/- 1629.47, N = 36032841. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30K60K90K120K150KSE +/- 206.25, N = 31515151. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores60K120K180K240K300KSE +/- 159.69, N = 33024621. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores300K600K900K1200K1500KSE +/- 1946.22, N = 315070371. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.13, N = 1017.25MIN: 16.25 / MAX: 291. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.6231.2461.8692.4923.115SE +/- 0.019, N = 102.769MIN: 2.58 / MAX: 12.751. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.05952.1193.17854.2385.2975SE +/- 0.078, N = 104.709MIN: 4.09 / MAX: 14.591. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores612182430SE +/- 0.05, N = 1024.74MIN: 24.1 / MAX: 45.21. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores246810SE +/- 0.053, N = 107.375MIN: 6.6 / MAX: 18.711. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.12162.24323.36484.48645.608SE +/- 0.055, N = 104.985MIN: 4.47 / MAX: 15.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.75131.50262.25393.00523.7565SE +/- 0.020, N = 103.339MIN: 3.19 / MAX: 13.411. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores612182430SE +/- 0.05, N = 1027.34MIN: 26.3 / MAX: 39.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.12, N = 814.27MIN: 13.56 / MAX: 86.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.27352.5473.82055.0946.3675SE +/- 0.06, N = 85.66MIN: 5.34 / MAX: 101.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.13182.26363.39544.52725.659SE +/- 0.05, N = 85.03MIN: 4.78 / MAX: 96.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores246810SE +/- 0.04, N = 86.38MIN: 6.08 / MAX: 89.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores246810SE +/- 0.05, N = 87.77MIN: 7.41 / MAX: 100.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.62331.24661.86992.49323.1165SE +/- 0.01, N = 82.77MIN: 2.26 / MAX: 57.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.07, N = 813.47MIN: 12.67 / MAX: 93.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores714212835SE +/- 0.23, N = 828.08MIN: 26.45 / MAX: 128.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.07, N = 88.99MIN: 8.66 / MAX: 65.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores246810SE +/- 0.02, N = 86.43MIN: 6.12 / MAX: 69.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.09, N = 816.70MIN: 16.11 / MAX: 83.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores510152025SE +/- 0.13, N = 820.66MIN: 19.76 / MAX: 123.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.09, N = 815.37MIN: 14.62 / MAX: 86.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores510152025SE +/- 0.14, N = 819.57MIN: 18.75 / MAX: 103.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores306090120150SE +/- 0.17, N = 8149.35MIN: 147.12 / MAX: 186.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores246810SE +/- 0.07, N = 88.00MIN: 7.32 / MAX: 79.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.12052.2413.36154.4825.6025SE +/- 0.02, N = 74.98MIN: 4.8 / MAX: 36.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mobilenetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores246810SE +/- 0.02, N = 38.54MIN: 8.25 / MAX: 22.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.55351.1071.66052.2142.7675SE +/- 0.03, N = 32.46MIN: 2.3 / MAX: 7.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.73581.47162.20742.94323.679SE +/- 0.01, N = 33.27MIN: 3.05 / MAX: 7.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.61651.2331.84952.4663.0825SE +/- 0.02, N = 32.74MIN: 2.57 / MAX: 7.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores246810SE +/- 0.02, N = 38.71MIN: 8.58 / MAX: 20.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefaceASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.40730.81461.22191.62922.0365SE +/- 0.00, N = 31.81MIN: 1.78 / MAX: 2.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.33882.67764.01645.35526.694SE +/- 0.02, N = 35.95MIN: 5.86 / MAX: 16.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.07782.15563.23344.31125.389SE +/- 0.02, N = 34.79MIN: 4.73 / MAX: 9.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.61651.2331.84952.4663.0825SE +/- 0.00, N = 32.74MIN: 2.65 / MAX: 3.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.44550.8911.33651.7822.2275SE +/- 0.05, N = 31.98MIN: 1.79 / MAX: 2.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.22632.45263.67894.90526.1315SE +/- 0.01, N = 35.45MIN: 5.26 / MAX: 10.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinyASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.03, N = 310.09MIN: 9.65 / MAX: 43.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.30282.60563.90845.21126.514SE +/- 0.02, N = 35.79MIN: 4.91 / MAX: 11.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.05082.10163.15244.20325.254SE +/- 0.02, N = 34.67MIN: 4.59 / MAX: 10.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformerASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores4080120160200SE +/- 0.58, N = 3166.51MIN: 163.13 / MAX: 180.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.69981.39962.09942.79923.499SE +/- 0.01, N = 33.11MIN: 2.64 / MAX: 9.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.53781.07561.61342.15122.689SE +/- 0.01, N = 22.39MIN: 2.34 / MAX: 2.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores5001000150020002500SE +/- 0.54, N = 32551.15MIN: 2472.01 / MAX: 2685.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores60120180240300SE +/- 0.06, N = 3255.67MIN: 253.22 / MAX: 264.21. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1428425670SE +/- 0.30, N = 364.26MIN: 63.33 / MAX: 65.391. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores50100150200250SE +/- 0.05, N = 3233.17MIN: 232.51 / MAX: 236.391. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores714212835SE +/- 0.10, N = 332.09

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores246810SE +/- 0.00, N = 36.97

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: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.1522.3043.4564.6085.76SE +/- 0.03, N = 35.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30060090012001500SE +/- 10.70, N = 31548.99MIN: 823.66 / MAX: 1631.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.76951.5392.30853.0783.8475SE +/- 0.01, N = 33.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores5001000150020002500SE +/- 5.81, N = 32312.14MIN: 2105.5 / MAX: 2440.891. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.76051.5212.28153.0423.8025SE +/- 0.01, N = 33.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores5001000150020002500SE +/- 5.13, N = 32329.14MIN: 1204.05 / MAX: 2474.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores100200300400500SE +/- 0.83, N = 3440.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.04, N = 318.13MIN: 9.86 / MAX: 31.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.3232.6463.9695.2926.615SE +/- 0.00, N = 35.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores30060090012001500SE +/- 0.42, N = 31353.76MIN: 1282.18 / MAX: 1368.21. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores110220330440550SE +/- 1.15, N = 3495.201. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.04, N = 316.15MIN: 9.33 / MAX: 26.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores100200300400500SE +/- 1.25, N = 3485.021. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores48121620SE +/- 0.04, N = 316.48MIN: 8.96 / MAX: 29.71. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1224364860SE +/- 0.16, N = 353.701. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores306090120150SE +/- 0.43, N = 3148.88MIN: 73.69 / MAX: 174.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores130260390520650SE +/- 0.36, N = 3582.321. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores612182430SE +/- 0.02, N = 327.46MIN: 15.54 / MAX: 38.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores150300450600750SE +/- 1.05, N = 3694.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3691215SE +/- 0.02, N = 311.51MIN: 7.34 / MAX: 24.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3K6K9K12K15KSE +/- 86.33, N = 314801.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.24080.48160.72240.96321.204SE +/- 0.01, N = 31.07MIN: 0.59 / MAX: 13.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores3K6K9K12K15KSE +/- 41.51, N = 316201.401. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.22050.4410.66150.8821.1025SE +/- 0.00, N = 30.98MIN: 0.57 / MAX: 13.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -pthread -ldl

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

Benchmark: P1B2

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. E: ImportError: initialization failed

Benchmark: P3B1

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. E: ImportError: initialization failed

Benchmark: P3B2

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. E: ImportError: initialization failed

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores306090120150SE +/- 1.26, N = 3118.71

Detector: Relative Entropy

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'int' from 'numpy' (.local/lib/python3.8/site-packages/numpy/__init__.py)

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1.12932.25863.38794.51725.6465SE +/- 0.030, N = 35.019

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1632486480SE +/- 0.46, N = 373.58

Detector: Bayesian Changepoint

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'int' from 'numpy' (.local/lib/python3.8/site-packages/numpy/__init__.py)

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSEASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1020304050SE +/- 0.29, N = 343.18

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

Model: GPT-2 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: GPT-2 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: yolov4 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: yolov4 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: bertsquad-12 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: bertsquad-12 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: super-resolution-10 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: super-resolution-10 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'typeDict'

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores1122334455SE +/- 0.32, N = 350.86

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores918273645SE +/- 0.10, N = 337.36

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores510152025SE +/- 0.02, N = 319.96

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores0.33980.67961.01941.35921.699SE +/- 0.01, N = 31.51

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

Benchmark: MNIST Dataset

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy.random' has no attribute 'BitGenerator'

Benchmark: TSNE MNIST Dataset

ASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy.random' has no attribute 'BitGenerator'

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.1.3Benchmark: Sparse Random Projections, 100 IterationsASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores4080120160200SE +/- 0.43, N = 3159.01

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.6Test: DNN - Deep Neural NetworkASPEED - AMD Ryzen Threadripper PRO 3955WX 16-Cores15003000450060007500SE +/- 26.03, N = 370371. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

159 Results Shown

SHOC Scalable HeterOgeneous Computing:
  OpenCL - S3D
  OpenCL - Triad
  OpenCL - FFT SP
  OpenCL - MD5 Hash
  OpenCL - Reduction
  OpenCL - GEMM SGEMM_N
  OpenCL - Max SP Flops
  OpenCL - Bus Speed Download
  OpenCL - Bus Speed Readback
  OpenCL - Texture Read Bandwidth
LeelaChessZero
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - 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
  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
Numpy Benchmark
DeepSpeech
R Benchmark
RNNoise
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 Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - 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
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    items/sec
    ms/batch
spaCy:
  en_core_web_lg
  en_core_web_trf
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  AlexNet - CPU - 1000
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
  GoogleNet - CPU - 1000
Mobile Neural Network:
  nasnet
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
  CPU - mnasnet
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
  Vulkan GPU - vision_transformer
  Vulkan GPU - FastestDet
  Vulkan GPU - shufflenet-v2
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v2
  CPU - SqueezeNet v1.1
PlaidML:
  No - Inference - VGG16 - CPU
  No - Inference - ResNet 50 - CPU
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
Numenta Anomaly Benchmark:
  KNN CAD
  Windowed Gaussian
  Earthgecko Skyline
  Contextual Anomaly Detector OSE
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
Scikit-Learn
OpenCV