machine-learning-1

AMD Ryzen 7 3700X 8-Core testing with a ASUS ROG STRIX X570-E GAMING (3001 BIOS) and Sapphire AMD Radeon RX 6600 XT 8GB on Ubuntu 20.04 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 2203204-PAXR-MACHINE72
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Sapphire AMD Radeon RX 6600 XT
March 20
  9 Hours, 50 Minutes
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machine-learning-1OpenBenchmarking.orgPhoronix Test Suite 10.8.4AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)ASUS ROG STRIX X570-E GAMING (3001 BIOS)AMD Starship/Matisse32GB256GB HS-SSD-E1000 256G + 3 x 4001GB Western Digital WD40EFRX-68N + 4001GB Western Digital WD40EFZX-68ASapphire AMD Radeon RX 6600 XT 8GB (2900/1000MHz)AMD Device ab28Realtek RTL8125 2.5GbE + Intel I211Ubuntu 20.045.4.0-104-generic (x86_64)GNOME Shell 3.36.9X Server 1.20.134.6 Mesa 22.0.0-devel (LLVM 13.0.1 DRM 3.44)OpenCL 2.2 AMD-APP (3406.0)1.2.197GCC 9.4.0 + Clang 10.0.0-4ubuntu1xfs1920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionMachine-learning-1 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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-yTrUTS/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 ondemand (Boost: Enabled) - CPU Microcode: 0x8701021- BAR1 / Visible vRAM Size: 256 MB- Python 2.7.18 + Python 3.8.10- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of LFENCE IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

machine-learning-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 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: tensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: AlexNet - CPU - 1000caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 1000mnn: 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_400mtnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1plaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - ResNet 50 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUnumenta-nab: EXPoSEnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoremlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionscikit-learn: opencv: DNN - Deep Neural NetworkSapphire AMD Radeon RX 6600 XT63.370111.5509644.06013.3172226.948458.634136787014.153914.0851555.2897555.8132310.96072.798362.6800524.40299.893246.9639623.11823.832765.004234372.262952.774347.902965.305.264094409.832968.643.43890399.2763.618590.155218.672195961284823018414413275113783825851105127110126352258812991725598512834002.9444.69028.4637.6414.5393.54538.55620.076.025.255.045.2410.032.0917.6171.5619.2115.5634.0731.2724.7412.022930.581265.87265.850240.43114.506.341.982025.222.001983.981.492656.171.482658.876345.960.66366.830.60677.48320.66510.926118.92734.4391040912195255.3873.2120.172.278.90635232OpenBenchmarking.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: S3DSapphire AMD Radeon RX 6600 XT1428425670SE +/- 0.33, N = 363.371. (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: TriadSapphire AMD Radeon RX 6600 XT3691215SE +/- 0.06, N = 311.551. (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 SPSapphire AMD Radeon RX 6600 XT140280420560700SE +/- 0.55, N = 3644.061. (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 HashSapphire AMD Radeon RX 6600 XT3691215SE +/- 0.00, N = 313.321. (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: ReductionSapphire AMD Radeon RX 6600 XT50100150200250SE +/- 0.14, N = 3226.951. (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_NSapphire AMD Radeon RX 6600 XT100200300400500SE +/- 16.50, N = 15458.631. (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 FlopsSapphire AMD Radeon RX 6600 XT300K600K900K1200K1500KSE +/- 1637.11, N = 313678701. (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 DownloadSapphire AMD Radeon RX 6600 XT48121620SE +/- 0.00, N = 314.151. (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 ReadbackSapphire AMD Radeon RX 6600 XT48121620SE +/- 0.00, N = 314.091. (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 BandwidthSapphire AMD Radeon RX 6600 XT120240360480600SE +/- 5.64, N = 3555.291. (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: BLASSapphire AMD Radeon RX 6600 XT160320480640800SE +/- 8.57, N = 37551. (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 initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT1.3082.6163.9245.2326.54SE +/- 0.04729, N = 95.81323MIN: 5.241. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT3691215SE +/- 0.07, N = 310.96MIN: 10.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT0.62961.25921.88882.51843.148SE +/- 0.02844, N = 62.79836MIN: 2.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT0.6031.2061.8092.4123.015SE +/- 0.01333, N = 32.68005MIN: 2.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

Sapphire AMD Radeon RX 6600 XT: 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

Sapphire AMD Radeon RX 6600 XT: 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 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT612182430SE +/- 0.10, N = 324.40MIN: 22.761. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT3691215SE +/- 0.11461, N = 49.89324MIN: 5.431. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT246810SE +/- 0.04387, N = 36.96396MIN: 6.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT612182430SE +/- 0.17, N = 323.12MIN: 21.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT0.86241.72482.58723.44964.312SE +/- 0.03404, N = 33.83276MIN: 3.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT1.1262.2523.3784.5045.63SE +/- 0.08018, N = 155.00423MIN: 4.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT9001800270036004500SE +/- 31.52, N = 154372.26MIN: 4139.471. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT6001200180024003000SE +/- 16.34, N = 32952.77MIN: 2821.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT9001800270036004500SE +/- 36.82, N = 34347.90MIN: 4150.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

Sapphire AMD Radeon RX 6600 XT: 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

Sapphire AMD Radeon RX 6600 XT: 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

Sapphire AMD Radeon RX 6600 XT: 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 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT6001200180024003000SE +/- 8.58, N = 32965.30MIN: 2852.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT1.18442.36883.55324.73765.922SE +/- 0.06121, N = 45.26409MIN: 4.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUSapphire AMD Radeon RX 6600 XT9001800270036004500SE +/- 26.42, N = 34409.83MIN: 4165.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUSapphire AMD Radeon RX 6600 XT6001200180024003000SE +/- 10.48, N = 32968.64MIN: 2848.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUSapphire AMD Radeon RX 6600 XT0.77381.54762.32143.09523.869SE +/- 0.12256, N = 123.43890MIN: 2.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

Sapphire AMD Radeon RX 6600 XT: 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 BenchmarkSapphire AMD Radeon RX 6600 XT90180270360450SE +/- 0.08, N = 3399.27

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: CPUSapphire AMD Radeon RX 6600 XT1428425670SE +/- 0.15, N = 363.62

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 BenchmarkSapphire AMD Radeon RX 6600 XT0.03490.06980.10470.13960.1745SE +/- 0.0014, N = 30.15521. 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 2020-06-28Sapphire AMD Radeon RX 6600 XT510152025SE +/- 0.17, N = 618.671. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. 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 2020-08-23Model: SqueezeNetSapphire AMD Radeon RX 6600 XT40K80K120K160K200KSE +/- 654.02, N = 3195961

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Sapphire AMD Radeon RX 6600 XT600K1200K1800K2400K3000KSE +/- 8539.62, N = 32848230

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileSapphire AMD Radeon RX 6600 XT40K80K120K160K200KSE +/- 2290.48, N = 3184144

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatSapphire AMD Radeon RX 6600 XT30K60K90K120K150KSE +/- 383.43, N = 3132751

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantSapphire AMD Radeon RX 6600 XT30K60K90K120K150KSE +/- 479.84, N = 3137838

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Sapphire AMD Radeon RX 6600 XT600K1200K1800K2400K3000KSE +/- 12212.78, N = 32585110

Tensorflow

This is a benchmark of the Tensorflow deep learning framework using the CIFAR10 data set. Learn more via the OpenBenchmarking.org test page.

Build: Cifar10

Sapphire AMD Radeon RX 6600 XT: 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 'tensorflow' has no attribute 'app'

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: 100Sapphire AMD Radeon RX 6600 XT11K22K33K44K55KSE +/- 628.42, N = 3512711. (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: 200Sapphire AMD Radeon RX 6600 XT20K40K60K80K100KSE +/- 703.95, N = 31012631. (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: 1000Sapphire AMD Radeon RX 6600 XT110K220K330K440K550KSE +/- 4457.63, N = 35225881. (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: 100Sapphire AMD Radeon RX 6600 XT30K60K90K120K150KSE +/- 1340.99, N = 51299171. (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: 200Sapphire AMD Radeon RX 6600 XT50K100K150K200K250KSE +/- 859.86, N = 32559851. (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: 1000Sapphire AMD Radeon RX 6600 XT300K600K900K1200K1500KSE +/- 3594.46, N = 312834001. (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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3Sapphire AMD Radeon RX 6600 XT0.66241.32481.98722.64963.312SE +/- 0.032, N = 42.944MIN: 2.57 / MAX: 31.921. (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 1.2Model: squeezenetv1.1Sapphire AMD Radeon RX 6600 XT1.05532.11063.16594.22125.2765SE +/- 0.045, N = 44.690MIN: 4.19 / MAX: 44.081. (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 1.2Model: resnet-v2-50Sapphire AMD Radeon RX 6600 XT714212835SE +/- 0.18, N = 428.46MIN: 25.55 / MAX: 105.021. (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 1.2Model: SqueezeNetV1.0Sapphire AMD Radeon RX 6600 XT246810SE +/- 0.176, N = 47.641MIN: 6.8 / MAX: 73.021. (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 1.2Model: MobileNetV2_224Sapphire AMD Radeon RX 6600 XT1.02132.04263.06394.08525.1065SE +/- 0.251, N = 44.539MIN: 3.74 / MAX: 126.011. (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 1.2Model: mobilenet-v1-1.0Sapphire AMD Radeon RX 6600 XT0.79761.59522.39283.19043.988SE +/- 0.027, N = 43.545MIN: 3.21 / MAX: 36.781. (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 1.2Model: inception-v3Sapphire AMD Radeon RX 6600 XT918273645SE +/- 0.25, N = 438.56MIN: 35.19 / MAX: 135.511. (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 20210720Target: CPU - Model: mobilenetSapphire AMD Radeon RX 6600 XT510152025SE +/- 0.17, N = 320.07MIN: 17.66 / MAX: 48.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2Sapphire AMD Radeon RX 6600 XT246810SE +/- 0.11, N = 36.02MIN: 5.4 / MAX: 25.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3Sapphire AMD Radeon RX 6600 XT1.18132.36263.54394.72525.9065SE +/- 0.12, N = 35.25MIN: 4.64 / MAX: 50.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2Sapphire AMD Radeon RX 6600 XT1.1342.2683.4024.5365.67SE +/- 0.24, N = 35.04MIN: 4.4 / MAX: 145.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetSapphire AMD Radeon RX 6600 XT1.1792.3583.5374.7165.895SE +/- 0.09, N = 35.24MIN: 4.6 / MAX: 67.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0Sapphire AMD Radeon RX 6600 XT3691215SE +/- 1.79, N = 310.03MIN: 7.43 / MAX: 971.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefaceSapphire AMD Radeon RX 6600 XT0.47030.94061.41091.88122.3515SE +/- 0.03, N = 32.09MIN: 1.91 / MAX: 21.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetSapphire AMD Radeon RX 6600 XT48121620SE +/- 0.04, N = 317.61MIN: 16.12 / MAX: 37.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16Sapphire AMD Radeon RX 6600 XT1632486480SE +/- 0.61, N = 371.56MIN: 67.2 / MAX: 118.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18Sapphire AMD Radeon RX 6600 XT510152025SE +/- 0.20, N = 319.21MIN: 17.9 / MAX: 58.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetSapphire AMD Radeon RX 6600 XT48121620SE +/- 0.15, N = 315.56MIN: 14.66 / MAX: 47.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50Sapphire AMD Radeon RX 6600 XT816243240SE +/- 0.96, N = 334.07MIN: 30.66 / MAX: 202.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tinySapphire AMD Radeon RX 6600 XT714212835SE +/- 1.44, N = 331.27MIN: 28.05 / MAX: 170.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdSapphire AMD Radeon RX 6600 XT612182430SE +/- 0.22, N = 324.74MIN: 22.79 / MAX: 118.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400mSapphire AMD Radeon RX 6600 XT3691215SE +/- 0.37, N = 312.02MIN: 10.63 / MAX: 69.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Target: Vulkan GPU

Sapphire AMD Radeon RX 6600 XT: 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.

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: DenseNetSapphire AMD Radeon RX 6600 XT6001200180024003000SE +/- 2.09, N = 32930.58MIN: 2768.75 / MAX: 3109.151. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Sapphire AMD Radeon RX 6600 XT60120180240300SE +/- 0.32, N = 3265.87MIN: 260.08 / MAX: 314.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Sapphire AMD Radeon RX 6600 XT1530456075SE +/- 0.20, N = 365.85MIN: 64 / MAX: 67.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Sapphire AMD Radeon RX 6600 XT50100150200250SE +/- 0.15, N = 3240.43MIN: 237.39 / MAX: 245.41. (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: CPUSapphire AMD Radeon RX 6600 XT48121620SE +/- 0.20, N = 314.50

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUSapphire AMD Radeon RX 6600 XT246810SE +/- 0.01, N = 36.34

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 2021.1Model: Face Detection 0106 FP16 - Device: CPUSapphire AMD Radeon RX 6600 XT0.44550.8911.33651.7822.2275SE +/- 0.02, N = 31.981. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUSapphire AMD Radeon RX 6600 XT400800120016002000SE +/- 12.35, N = 32025.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUSapphire AMD Radeon RX 6600 XT0.450.91.351.82.25SE +/- 0.03, N = 32.001. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUSapphire AMD Radeon RX 6600 XT400800120016002000SE +/- 12.90, N = 31983.981. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUSapphire AMD Radeon RX 6600 XT0.33530.67061.00591.34121.6765SE +/- 0.01, N = 31.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUSapphire AMD Radeon RX 6600 XT6001200180024003000SE +/- 4.17, N = 32656.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUSapphire AMD Radeon RX 6600 XT0.3330.6660.9991.3321.665SE +/- 0.01, N = 31.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUSapphire AMD Radeon RX 6600 XT6001200180024003000SE +/- 2.59, N = 32658.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

Model: Face Detection 0106 FP16 - Device: Intel GPU

Sapphire AMD Radeon RX 6600 XT: 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.

Model: Face Detection 0106 FP32 - Device: Intel GPU

Sapphire AMD Radeon RX 6600 XT: 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.

Model: Person Detection 0106 FP16 - Device: Intel GPU

Sapphire AMD Radeon RX 6600 XT: 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.

Model: Person Detection 0106 FP32 - Device: Intel GPU

Sapphire AMD Radeon RX 6600 XT: 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.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSapphire AMD Radeon RX 6600 XT14002800420056007000SE +/- 28.17, N = 36345.961. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSapphire AMD Radeon RX 6600 XT0.1350.270.4050.540.675SE +/- 0.00, N = 30.61. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUSapphire AMD Radeon RX 6600 XT14002800420056007000SE +/- 69.46, N = 36366.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUSapphire AMD Radeon RX 6600 XT0.1350.270.4050.540.675SE +/- 0.00, N = 30.601. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread

Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU

Sapphire AMD Radeon RX 6600 XT: 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.

Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU

Sapphire AMD Radeon RX 6600 XT: 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.

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

Sapphire AMD Radeon RX 6600 XT: The test quit with a non-zero exit status. E: ImportError: SystemError: returned a result with an error set

Benchmark: P3B1

Sapphire AMD Radeon RX 6600 XT: The test quit with a non-zero exit status. E: ImportError: SystemError: returned a result with an error set

Benchmark: P3B2

Sapphire AMD Radeon RX 6600 XT: The test quit with a non-zero exit status. E: ImportError: SystemError: returned a result with an error set

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 timeseries 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: EXPoSESapphire AMD Radeon RX 6600 XT150300450600750SE +/- 3.88, N = 3677.48

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropySapphire AMD Radeon RX 6600 XT510152025SE +/- 0.26, N = 320.67

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianSapphire AMD Radeon RX 6600 XT3691215SE +/- 0.06, N = 310.93

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineSapphire AMD Radeon RX 6600 XT306090120150SE +/- 0.91, N = 3118.93

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointSapphire AMD Radeon RX 6600 XT816243240SE +/- 0.42, N = 434.44

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 Zoo. Learn more via the OpenBenchmarking.org test page.

Model: yolov4 - Device: CPU

Sapphire AMD Radeon RX 6600 XT: 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: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file "yolov4/yolov4.onnx" failed: No such file or directory

Model: fcn-resnet101-11 - Device: CPU

Sapphire AMD Radeon RX 6600 XT: 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: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file "fcn-resnet101-11/model.onnx" failed: No such file or directory

Model: shufflenet-v2-10 - Device: CPU

Sapphire AMD Radeon RX 6600 XT: 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: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file "model/test_shufflenetv2/model.onnx" failed: No such file or directory

Model: super-resolution-10 - Device: CPU

Sapphire AMD Radeon RX 6600 XT: 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: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file "super_resolution/super_resolution.onnx" failed: 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.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreSapphire AMD Radeon RX 6600 XT20040060080010001040

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreSapphire AMD Radeon RX 6600 XT2004006008001000912

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreSapphire AMD Radeon RX 6600 XT4008001200160020001952

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaSapphire AMD Radeon RX 6600 XT1224364860SE +/- 0.66, N = 455.38

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaSapphire AMD Radeon RX 6600 XT1632486480SE +/- 0.13, N = 373.21

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmSapphire AMD Radeon RX 6600 XT510152025SE +/- 0.10, N = 320.17

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionSapphire AMD Radeon RX 6600 XT0.51081.02161.53242.04322.554SE +/- 0.01, N = 32.27

Scikit-Learn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Sapphire AMD Radeon RX 6600 XT246810SE +/- 0.009, N = 38.906

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 4.5.4Test: DNN - Deep Neural NetworkSapphire AMD Radeon RX 6600 XT8K16K24K32K40KSE +/- 846.55, N = 15352321. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared