machine_learning_test

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: 16 - Model: VGG-16

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: 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: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

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

machine_learning_test_result: 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: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

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.

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.

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: Glmnet

machine_learning_test_result: 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 'glmnet'

Benchmark: SGDOneClassSVM

machine_learning_test_result: 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.

Benchmark: Isolation Forest

machine_learning_test_result: 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.

Benchmark: Plot Fast KMeans

machine_learning_test_result: 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.

Benchmark: Isotonic / Logistic

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: Plot Incremental PCA

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: Matplotlib requires numpy>=1.20; you have 1.17.4

Benchmark: Hist Gradient Boosting

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: Matplotlib requires numpy>=1.20; you have 1.17.4

Benchmark: Plot Parallel Pairwise

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: Matplotlib requires numpy>=1.20; you have 1.17.4

Benchmark: Isotonic / Pathological

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: RCV1 Logreg Convergencet

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: Matplotlib requires numpy>=1.20; you have 1.17.4

Benchmark: Sample Without Replacement

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: Matplotlib requires numpy>=1.20; you have 1.17.4

Benchmark: Covertype Dataset Benchmark

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: Hist Gradient Boosting Adult

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy.random' has no attribute 'BitGenerator'

Benchmark: Isotonic / Perturbed Logarithm

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: Hist Gradient Boosting Threading

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: Plot Singular Value Decomposition

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: Hist Gradient Boosting Higgs Boson

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy.random' has no attribute 'BitGenerator'

Benchmark: 20 Newsgroups / Logistic Regression

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: Plot Polynomial Kernel Approximation

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: Plot Non-Negative Matrix Factorization

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: Matplotlib requires numpy>=1.20; you have 1.17.4

Benchmark: Hist Gradient Boosting Categorical Only

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

Benchmark: Kernel PCA Solvers / Time vs. N Samples

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: Matplotlib requires numpy>=1.20; you have 1.17.4

Benchmark: Kernel PCA Solvers / Time vs. N Components

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: Matplotlib requires numpy>=1.20; you have 1.17.4

Benchmark: Sparse Random Projections / 100 Iterations

machine_learning_test_result: 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: ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 232 from C header, got 216 from PyObject

R Benchmark

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

Numpy Benchmark

This is a test to obtain the general Numpy 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.

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.

machine_learning_test_result: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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

machine_learning_test_result: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

Benchmark: P3B1

machine_learning_test_result: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

Benchmark: P3B2

machine_learning_test_result: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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.

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.8/dist-packages/typing_extensions.py)

ONNX Runtime

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

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: yolov4 - Device: CPU - Executor: Parallel

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

Model: yolov4 - Device: CPU - Executor: Standard

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

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

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory

OpenCV

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

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.

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.

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.

TNN

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

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.

Model: AlexNet - Acceleration: CPU - Iterations: 100

machine_learning_test_result: 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: ./caffe: 3: ./tools/caffe: not found

Model: AlexNet - Acceleration: CPU - Iterations: 200

machine_learning_test_result: 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: ./caffe: 3: ./tools/caffe: not found

Model: AlexNet - Acceleration: CPU - Iterations: 1000

machine_learning_test_result: 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: ./caffe: 3: ./tools/caffe: not found

Model: GoogleNet - Acceleration: CPU - Iterations: 100

machine_learning_test_result: 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: ./caffe: 3: ./tools/caffe: not found

Model: GoogleNet - Acceleration: CPU - Iterations: 200

machine_learning_test_result: 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: ./caffe: 3: ./tools/caffe: not found

Model: GoogleNet - Acceleration: CPU - Iterations: 1000

machine_learning_test_result: 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: ./caffe: 3: ./tools/caffe: not found

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.

Mlpack Benchmark

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

Benchmark: scikit_ica

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'float'.

Benchmark: scikit_qda

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'float'.

Benchmark: scikit_svm

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'float'.

Benchmark: scikit_linearridgeregression

machine_learning_test_result: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'float'.

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: f32 - Engine: CPU

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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

machine_learning_test_result: 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: f32 - Engine: CPU

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.

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

machine_learning_test_result: 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.