HDR3-A44000-1

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.

Backend: BLAS

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: ./lczero: line 4: ./lc0: No such file or directory

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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

AMD Radeon HD 7480D - AMD A4-5300 APU: 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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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.

R Benchmark

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

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.

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.

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: Fatal Python error: Aborted

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: Fatal Python error: Aborted

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: OSError: Neural Magic: Encountered exception while trying to read arch.bin: Either the SIMD instruction set is unsupported or it could not be determined. On x86_64 systems, support for at least AVX2 is required.

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.

AMD Radeon HD 7480D - AMD A4-5300 APU: 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: TypeError: issubclass() arg 1 must be a class

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.

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.

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.

TNN

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

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.

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.