brw-7000-run-1

New build with 3090 and 7800X3D

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New Ryzen 7800X build ML suite tests
July 01 2023
  1 Day, 6 Minutes
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brw-7000-run-1OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 7800X3D 8-Core @ 4.20GHz (8 Cores / 16 Threads)ASUS ROG STRIX X670E-I GAMING WIFI (1616 BIOS)AMD Device 14d862GB2 x 4001GB Western Digital WD_BLACK SN850X 4000GB + 8002GB Samsung SSD 870 + 128GB Flash Drive FITNVIDIA GeForce RTX 3090 24GBNVIDIA GA102 HD AudioHP Z27Intel I225-V + MEDIATEK Device 0616Ubuntu 22.045.19.0-46-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.4NVIDIA 530.30.024.6.0OpenCL 3.0 CUDA 12.1.681.3.236GCC 11.3.0 + CUDA 12.1ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionBrw-7000-run-1 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-aYxV0E/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-aYxV0E/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa601203- GLAMOR - BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 94.02.32.00.02- GPU Compute Cores: 10496- Python 3.10.6- 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

brw-7000-run-1shoc: 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 Bandwidthonednn: 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: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUnumpy: deepspeech: CPUrbenchmark: rnnoise: tensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tensorflow: CPU - 16 - VGG-16tensorflow: CPU - 32 - VGG-16tensorflow: CPU - 64 - VGG-16tensorflow: CPU - 16 - AlexNettensorflow: CPU - 256 - VGG-16tensorflow: CPU - 32 - AlexNettensorflow: CPU - 512 - VGG-16tensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 512 - ResNet-50caffe: 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 - mnasnetncnn: 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: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: 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 - mnasnettnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1numenta-nab: KNN CADnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointnumenta-nab: Contextual Anomaly Detector OSEmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionopencv: DNN - Deep Neural NetworkNew Ryzen 7800X build ML suite tests428.06925.73532350.9243.0550388.0227921.3039184.326.892127.12272172.473.409543.138440.6415980.3811501.293641.321505.121855.634114.181714.650560.8542341.034952309.941170.332313.322.133637.373092.515821164.872429.391415.44794.5139.539540.088114.7931712.6125246.84955.641181.092650.9023232.110.6411.0111.19134.6711.31176.8511.35207.73229.27232.40104.3333.87100.5333.4096.1732.6292.6631.5792.4131.342327346302230656642811284146421716.4440.8201.3967.6982.6661.9531.75316.7126.481.961.591.691.742.660.664.7320.834.553.419.6110.228.065.33107.542.132.721.301.841.233.130.724.434.071.630.972.395.7123.411.60143.151.861.012389.930199.48746.282194.929157.93911.7116.05273.25126.14030.28829.2821.9814.141.4421383OpenBenchmarking.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: S3DNew Ryzen 7800X build ML suite tests90180270360450SE +/- 1.22, N = 3428.071. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadNew Ryzen 7800X build ML suite tests612182430SE +/- 0.01, N = 325.741. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPNew Ryzen 7800X build ML suite tests5001000150020002500SE +/- 3.38, N = 32350.921. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashNew Ryzen 7800X build ML suite tests1020304050SE +/- 0.36, N = 343.061. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionNew Ryzen 7800X build ML suite tests80160240320400SE +/- 2.93, N = 10388.021. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NNew Ryzen 7800X build ML suite tests2K4K6K8K10KSE +/- 39.58, N = 37921.301. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsNew Ryzen 7800X build ML suite tests8K16K24K32K40KSE +/- 228.09, N = 339184.31. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadNew Ryzen 7800X build ML suite tests612182430SE +/- 0.00, N = 326.891. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackNew Ryzen 7800X build ML suite tests612182430SE +/- 0.00, N = 327.121. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthNew Ryzen 7800X build ML suite tests5001000150020002500SE +/- 3.16, N = 32172.471. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUNew Ryzen 7800X build ML suite tests0.76711.53422.30133.06843.8355SE +/- 0.00926, N = 33.40954MIN: 3.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUNew Ryzen 7800X build ML suite tests0.70611.41222.11832.82443.5305SE +/- 0.01172, N = 33.13844MIN: 3.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUNew Ryzen 7800X build ML suite tests0.14440.28880.43320.57760.722SE +/- 0.002841, N = 30.641598MIN: 0.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUNew Ryzen 7800X build ML suite tests0.08580.17160.25740.34320.429SE +/- 0.001159, N = 30.381150MIN: 0.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUNew Ryzen 7800X build ML suite tests0.29110.58220.87331.16441.4555SE +/- 0.00064, N = 31.29364MIN: 1.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUNew Ryzen 7800X build ML suite tests0.29730.59460.89191.18921.4865SE +/- 0.00136, N = 31.32150MIN: 1.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUNew Ryzen 7800X build ML suite tests1.15242.30483.45724.60965.762SE +/- 0.00908, N = 35.12185MIN: 4.911. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUNew Ryzen 7800X build ML suite tests1.26772.53543.80315.07086.3385SE +/- 0.05918, N = 155.63411MIN: 4.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUNew Ryzen 7800X build ML suite tests0.94091.88182.82273.76364.7045SE +/- 0.00329, N = 34.18171MIN: 4.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUNew Ryzen 7800X build ML suite tests1.04642.09283.13924.18565.232SE +/- 0.02144, N = 34.65056MIN: 4.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUNew Ryzen 7800X build ML suite tests0.19220.38440.57660.76880.961SE +/- 0.002888, N = 30.854234MIN: 0.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUNew Ryzen 7800X build ML suite tests0.23290.46580.69870.93161.1645SE +/- 0.00177, N = 31.03495MIN: 0.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUNew Ryzen 7800X build ML suite tests5001000150020002500SE +/- 2.34, N = 32309.94MIN: 2284.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUNew Ryzen 7800X build ML suite tests30060090012001500SE +/- 2.77, N = 31170.33MIN: 1147.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUNew Ryzen 7800X build ML suite tests5001000150020002500SE +/- 2.36, N = 32313.32MIN: 2281.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUNew Ryzen 7800X build ML suite tests0.48010.96021.44031.92042.4005SE +/- 0.00749, N = 32.13363MIN: 2.021. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUNew Ryzen 7800X build ML suite tests246810SE +/- 0.04306, N = 37.37309MIN: 7.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUNew Ryzen 7800X build ML suite tests0.56611.13221.69832.26442.8305SE +/- 0.00431, N = 32.51582MIN: 2.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUNew Ryzen 7800X build ML suite tests30060090012001500SE +/- 1.27, N = 31164.87MIN: 1145.911. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUNew Ryzen 7800X build ML suite tests5001000150020002500SE +/- 55.34, N = 122429.39MIN: 2278.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUNew Ryzen 7800X build ML suite tests30060090012001500SE +/- 130.52, N = 151415.44MIN: 1146.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 BenchmarkNew Ryzen 7800X build ML suite tests2004006008001000SE +/- 2.20, N = 3794.51

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: CPUNew Ryzen 7800X build ML suite tests918273645SE +/- 0.08, N = 339.54

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 BenchmarkNew Ryzen 7800X build ML suite tests0.01980.03960.05940.07920.099SE +/- 0.0003, N = 30.08811. R scripting front-end version 4.1.2 (2021-11-01)

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 2020-06-28New Ryzen 7800X build ML suite tests48121620SE +/- 0.02, N = 314.791. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetNew Ryzen 7800X build ML suite tests400800120016002000SE +/- 1.61, N = 31712.61

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4New Ryzen 7800X build ML suite tests5K10K15K20K25KSE +/- 10.75, N = 325246.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileNew Ryzen 7800X build ML suite tests11002200330044005500SE +/- 32.90, N = 34955.64

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatNew Ryzen 7800X build ML suite tests30060090012001500SE +/- 3.12, N = 31181.09

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantNew Ryzen 7800X build ML suite tests6001200180024003000SE +/- 6.49, N = 32650.90

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2New Ryzen 7800X build ML suite tests5K10K15K20K25KSE +/- 48.53, N = 323232.1

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 if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: VGG-16New Ryzen 7800X build ML suite tests3691215SE +/- 0.01, N = 310.64

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: VGG-16New Ryzen 7800X build ML suite tests3691215SE +/- 0.00, N = 311.01

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: VGG-16New Ryzen 7800X build ML suite tests3691215SE +/- 0.00, N = 311.19

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetNew Ryzen 7800X build ML suite tests306090120150SE +/- 0.05, N = 3134.67

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: VGG-16New Ryzen 7800X build ML suite tests3691215SE +/- 0.00, N = 311.31

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetNew Ryzen 7800X build ML suite tests4080120160200SE +/- 0.43, N = 3176.85

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: VGG-16New Ryzen 7800X build ML suite tests3691215SE +/- 0.00, N = 311.35

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetNew Ryzen 7800X build ML suite tests50100150200250SE +/- 0.09, N = 3207.73

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetNew Ryzen 7800X build ML suite tests50100150200250SE +/- 0.11, N = 3229.27

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetNew Ryzen 7800X build ML suite tests50100150200250SE +/- 0.18, N = 3232.40

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetNew Ryzen 7800X build ML suite tests20406080100SE +/- 0.04, N = 3104.33

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50New Ryzen 7800X build ML suite tests816243240SE +/- 0.01, N = 333.87

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetNew Ryzen 7800X build ML suite tests20406080100SE +/- 0.10, N = 3100.53

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50New Ryzen 7800X build ML suite tests816243240SE +/- 0.01, N = 333.40

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetNew Ryzen 7800X build ML suite tests20406080100SE +/- 0.01, N = 396.17

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50New Ryzen 7800X build ML suite tests816243240SE +/- 0.01, N = 332.62

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetNew Ryzen 7800X build ML suite tests20406080100SE +/- 0.02, N = 392.66

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50New Ryzen 7800X build ML suite tests714212835SE +/- 0.01, N = 331.57

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetNew Ryzen 7800X build ML suite tests20406080100SE +/- 0.01, N = 392.41

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50New Ryzen 7800X build ML suite tests714212835SE +/- 0.01, N = 331.34

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.

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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

New Ryzen 7800X build ML suite tests: 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: NameError: Field "model_path" has conflict with protected namespace "model_"

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.

New Ryzen 7800X build ML suite tests: 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: ModuleNotFoundError: No module named 'tqdm'

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: 100New Ryzen 7800X build ML suite tests5K10K15K20K25KSE +/- 6.94, N = 3232731. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200New Ryzen 7800X build ML suite tests10K20K30K40K50KSE +/- 79.10, N = 3463021. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000New Ryzen 7800X build ML suite tests50K100K150K200K250KSE +/- 183.04, N = 32306561. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100New Ryzen 7800X build ML suite tests14K28K42K56K70KSE +/- 102.96, N = 3642811. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200New Ryzen 7800X build ML suite tests30K60K90K120K150KSE +/- 216.53, N = 31284141. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000New Ryzen 7800X build ML suite tests140K280K420K560K700KSE +/- 408.49, N = 36421711. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -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: nasnetNew Ryzen 7800X build ML suite tests246810SE +/- 0.108, N = 156.444MIN: 5.89 / MAX: 35.361. (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: mobilenetV3New Ryzen 7800X build ML suite tests0.18450.3690.55350.7380.9225SE +/- 0.005, N = 150.820MIN: 0.77 / MAX: 9.911. (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: squeezenetv1.1New Ryzen 7800X build ML suite tests0.31410.62820.94231.25641.5705SE +/- 0.008, N = 151.396MIN: 1.32 / MAX: 9.081. (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-v2-50New Ryzen 7800X build ML suite tests246810SE +/- 0.043, N = 157.698MIN: 7.26 / MAX: 39.351. (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: SqueezeNetV1.0New Ryzen 7800X build ML suite tests0.59991.19981.79972.39962.9995SE +/- 0.020, N = 152.666MIN: 2.53 / MAX: 50.771. (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_224New Ryzen 7800X build ML suite tests0.43940.87881.31821.75762.197SE +/- 0.015, N = 151.953MIN: 1.83 / MAX: 29.371. (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-v1-1.0New Ryzen 7800X build ML suite tests0.39440.78881.18321.57761.972SE +/- 0.002, N = 151.753MIN: 1.68 / MAX: 8.821. (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-v3New Ryzen 7800X build ML suite tests48121620SE +/- 0.27, N = 1516.71MIN: 15.16 / MAX: 55.091. (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: mobilenetNew Ryzen 7800X build ML suite tests246810SE +/- 0.09, N = 156.48MIN: 5.85 / MAX: 13.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2New Ryzen 7800X build ML suite tests0.4410.8821.3231.7642.205SE +/- 0.00, N = 151.96MIN: 1.88 / MAX: 9.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3New Ryzen 7800X build ML suite tests0.35780.71561.07341.43121.789SE +/- 0.00, N = 151.59MIN: 1.52 / MAX: 7.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2New Ryzen 7800X build ML suite tests0.38030.76061.14091.52121.9015SE +/- 0.01, N = 151.69MIN: 1.59 / MAX: 7.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetNew Ryzen 7800X build ML suite tests0.39150.7831.17451.5661.9575SE +/- 0.02, N = 141.74MIN: 1.63 / MAX: 6.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0New Ryzen 7800X build ML suite tests0.59851.1971.79552.3942.9925SE +/- 0.03, N = 152.66MIN: 2.47 / MAX: 10.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceNew Ryzen 7800X build ML suite tests0.14850.2970.44550.5940.7425SE +/- 0.01, N = 150.66MIN: 0.61 / MAX: 6.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetNew Ryzen 7800X build ML suite tests1.06432.12863.19294.25725.3215SE +/- 0.11, N = 154.73MIN: 4.19 / MAX: 11.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16New Ryzen 7800X build ML suite tests510152025SE +/- 0.21, N = 1520.83MIN: 19.11 / MAX: 67.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18New Ryzen 7800X build ML suite tests1.02382.04763.07144.09525.119SE +/- 0.08, N = 154.55MIN: 4.12 / MAX: 12.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetNew Ryzen 7800X build ML suite tests0.76731.53462.30193.06923.8365SE +/- 0.07, N = 153.41MIN: 2.89 / MAX: 10.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50New Ryzen 7800X build ML suite tests3691215SE +/- 0.17, N = 159.61MIN: 8.54 / MAX: 17.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyNew Ryzen 7800X build ML suite tests3691215SE +/- 0.13, N = 1510.22MIN: 9.12 / MAX: 21.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdNew Ryzen 7800X build ML suite tests246810SE +/- 0.12, N = 158.06MIN: 7.11 / MAX: 16.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mNew Ryzen 7800X build ML suite tests1.19932.39863.59794.79725.9965SE +/- 0.01, N = 155.33MIN: 4.92 / MAX: 12.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerNew Ryzen 7800X build ML suite tests20406080100SE +/- 0.06, N = 15107.54MIN: 104.27 / MAX: 135.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetNew Ryzen 7800X build ML suite tests0.47930.95861.43791.91722.3965SE +/- 0.03, N = 152.13MIN: 1.9 / MAX: 7.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mobilenetNew Ryzen 7800X build ML suite tests0.6121.2241.8362.4483.06SE +/- 0.02, N = 32.72MIN: 2.52 / MAX: 9.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2New Ryzen 7800X build ML suite tests0.29250.5850.87751.171.4625SE +/- 0.15, N = 31.30MIN: 0.93 / MAX: 7.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3New Ryzen 7800X build ML suite tests0.4140.8281.2421.6562.07SE +/- 0.01, N = 31.84MIN: 1.22 / MAX: 7.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2New Ryzen 7800X build ML suite tests0.27680.55360.83041.10721.384SE +/- 0.01, N = 31.23MIN: 1.17 / MAX: 5.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0New Ryzen 7800X build ML suite tests0.70431.40862.11292.81723.5215SE +/- 0.56, N = 33.13MIN: 2.08 / MAX: 20.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefaceNew Ryzen 7800X build ML suite tests0.1620.3240.4860.6480.81SE +/- 0.01, N = 30.72MIN: 0.67 / MAX: 4.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetNew Ryzen 7800X build ML suite tests0.99681.99362.99043.98724.984SE +/- 0.10, N = 34.43MIN: 1.78 / MAX: 37.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16New Ryzen 7800X build ML suite tests0.91581.83162.74743.66324.579SE +/- 1.07, N = 34.07MIN: 1.41 / MAX: 33.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18New Ryzen 7800X build ML suite tests0.36680.73361.10041.46721.834SE +/- 0.03, N = 31.63MIN: 0.96 / MAX: 11.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetNew Ryzen 7800X build ML suite tests0.21830.43660.65490.87321.0915SE +/- 0.01, N = 30.97MIN: 0.91 / MAX: 6.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50New Ryzen 7800X build ML suite tests0.53781.07561.61342.15122.689SE +/- 0.04, N = 32.39MIN: 1.58 / MAX: 10.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinyNew Ryzen 7800X build ML suite tests1.28482.56963.85445.13926.424SE +/- 0.08, N = 35.71MIN: 4.49 / MAX: 29.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdNew Ryzen 7800X build ML suite tests612182430SE +/- 0.20, N = 323.41MIN: 6.35 / MAX: 65.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mNew Ryzen 7800X build ML suite tests0.360.721.081.441.8SE +/- 0.01, N = 31.60MIN: 1.52 / MAX: 5.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformerNew Ryzen 7800X build ML suite tests306090120150SE +/- 0.73, N = 3143.15MIN: 120.39 / MAX: 716.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetNew Ryzen 7800X build ML suite tests0.41850.8371.25551.6742.0925SE +/- 0.09, N = 31.86MIN: 1.31 / MAX: 6.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetNew Ryzen 7800X build ML suite tests0.22730.45460.68190.90921.1365SE +/- 0.01, N = 21.01MIN: 0.94 / MAX: 4.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: DenseNetNew Ryzen 7800X build ML suite tests5001000150020002500SE +/- 2.68, N = 32389.93MIN: 2332.55 / MAX: 2434.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2New Ryzen 7800X build ML suite tests4080120160200SE +/- 0.50, N = 3199.49MIN: 195.78 / MAX: 206.361. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2New Ryzen 7800X build ML suite tests1020304050SE +/- 0.53, N = 346.28MIN: 45 / MAX: 47.351. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1New Ryzen 7800X build ML suite tests4080120160200SE +/- 0.06, N = 3194.93MIN: 194.02 / MAX: 195.681. (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.

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

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FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

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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

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Benchmark: P3B1

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Benchmark: P3B2

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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 CADNew Ryzen 7800X build ML suite tests306090120150SE +/- 0.35, N = 3157.94

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyNew Ryzen 7800X build ML suite tests3691215SE +/- 0.09, N = 311.71

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianNew Ryzen 7800X build ML suite tests246810SE +/- 0.019, N = 36.052

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineNew Ryzen 7800X build ML suite tests1632486480SE +/- 0.65, N = 1573.25

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointNew Ryzen 7800X build ML suite tests612182430SE +/- 0.09, N = 326.14

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSENew Ryzen 7800X build ML suite tests714212835SE +/- 0.18, N = 330.29

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.

New Ryzen 7800X build ML suite tests: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'warnings'. Did you mean: 'hanning'?

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaNew Ryzen 7800X build ML suite tests714212835SE +/- 0.06, N = 329.28

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaNew Ryzen 7800X build ML suite tests510152025SE +/- 0.03, N = 321.98

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmNew Ryzen 7800X build ML suite tests48121620SE +/- 0.00, N = 314.14

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionNew Ryzen 7800X build ML suite tests0.3240.6480.9721.2961.62SE +/- 0.02, N = 31.44

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

Benchmark: GLM

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Benchmark: SAGA

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Benchmark: Tree

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Benchmark: Lasso

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Benchmark: Glmnet

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Benchmark: Sparsify

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Benchmark: Plot Ward

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Benchmark: MNIST Dataset

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Benchmark: Plot Neighbors

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Benchmark: SGD Regression

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Benchmark: SGDOneClassSVM

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Benchmark: Plot Lasso Path

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Benchmark: Isolation Forest

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Benchmark: Plot Fast KMeans

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Benchmark: Text Vectorizers

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Benchmark: Plot Hierarchical

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Benchmark: Plot OMP vs. LARS

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Benchmark: Feature Expansions

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Benchmark: LocalOutlierFactor

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Benchmark: TSNE MNIST Dataset

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Benchmark: Isotonic / Logistic

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Benchmark: Plot Incremental PCA

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Benchmark: Hist Gradient Boosting

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Benchmark: Plot Parallel Pairwise

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Benchmark: Isotonic / Pathological

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Benchmark: RCV1 Logreg Convergencet

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Benchmark: Sample Without Replacement

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Benchmark: Covertype Dataset Benchmark

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Benchmark: Hist Gradient Boosting Adult

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Benchmark: Isotonic / Perturbed Logarithm

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Benchmark: Hist Gradient Boosting Threading

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Benchmark: Plot Singular Value Decomposition

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Benchmark: Hist Gradient Boosting Higgs Boson

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Benchmark: 20 Newsgroups / Logistic Regression

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Benchmark: Plot Polynomial Kernel Approximation

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Benchmark: Plot Non-Negative Matrix Factorization

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Benchmark: Hist Gradient Boosting Categorical Only

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Benchmark: Kernel PCA Solvers / Time vs. N Samples

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Benchmark: Kernel PCA Solvers / Time vs. N Components

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Benchmark: Sparse Random Projections / 100 Iterations

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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 4.7Test: DNN - Deep Neural NetworkNew Ryzen 7800X build ML suite tests5K10K15K20K25KSE +/- 397.13, N = 15213831. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

124 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
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
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
Numpy Benchmark
DeepSpeech
R Benchmark
RNNoise
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
TensorFlow:
  CPU - 16 - VGG-16
  CPU - 32 - VGG-16
  CPU - 64 - VGG-16
  CPU - 16 - AlexNet
  CPU - 256 - VGG-16
  CPU - 32 - AlexNet
  CPU - 512 - VGG-16
  CPU - 64 - AlexNet
  CPU - 256 - AlexNet
  CPU - 512 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 16 - ResNet-50
  CPU - 32 - GoogLeNet
  CPU - 32 - ResNet-50
  CPU - 64 - GoogLeNet
  CPU - 64 - ResNet-50
  CPU - 256 - GoogLeNet
  CPU - 256 - ResNet-50
  CPU - 512 - GoogLeNet
  CPU - 512 - ResNet-50
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 - mnasnet
  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
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  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 - mnasnet
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v2
  CPU - SqueezeNet v1.1
Numenta Anomaly Benchmark:
  KNN CAD
  Relative Entropy
  Windowed Gaussian
  Earthgecko Skyline
  Bayesian Changepoint
  Contextual Anomaly Detector OSE
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
OpenCV