MBP M1 Max Machine Learning

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.

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.

Numpy Benchmark

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

MBP M1 Max Machine Learning: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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.

Acceleration: CPU

MBP M1 Max Machine Learning: 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.

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.

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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.

Detector: EXPoSE

MBP M1 Max Machine Learning: 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 'pandas'

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.

MBP M1 Max Machine Learning: The test quit with a non-zero exit status. E: SyntaxError: invalid syntax

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.

Detector: Bayesian Changepoint

MBP M1 Max Machine Learning: 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 'pandas'

Detector: Relative Entropy

MBP M1 Max Machine Learning: 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 'pandas'

Detector: Earthgecko Skyline

MBP M1 Max Machine Learning: 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 'pandas'

Detector: Windowed Gaussian

MBP M1 Max Machine Learning: 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 'pandas'

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.

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory

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

MBP M1 Max Machine Learning: 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: onednn: line 6: ./benchdnn: No such file or directory