kubuntu-2404-nvme

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.

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

CPU Fan Speed Monitor

CPU Peak Freq (Highest CPU Core Frequency) Monitor

CPU Temperature Monitor

CPU Usage (Summary) Monitor

LeelaChessZero

Backend: BLAS

ARMv8 Cortex-A76: The test run did not produce a result.

Backend: Eigen

ARMv8 Cortex-A76: The test run did not produce a result.

Llama.cpp

Llamafile

Test: Meta-Llama-3-8B-Instruct.F16 - Acceleration: CPU

ARMv8 Cortex-A76: The test quit with a non-zero exit status.

Test: Meta-Llama-3-8B-Instruct.F16 - Acceleration: GPU AUTO

ARMv8 Cortex-A76: The test quit with a non-zero exit status.

Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU

ARMv8 Cortex-A76: The test quit with a non-zero exit status.

Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: GPU AUTO

ARMv8 Cortex-A76: The test quit with a non-zero exit status.

Memory Usage Monitor

Mlpack Benchmark

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

Benchmark: scikit_svm

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'imp'

Benchmark: scikit_linearridgeregression

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'imp'

Benchmark: scikit_qda

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'imp'

Benchmark: scikit_ica

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'imp'

Mobile Neural Network

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.

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.

Detector: Bayesian Changepoint

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Windowed Gaussian

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Relative Entropy

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Earthgecko Skyline

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: KNN CAD

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Contextual Anomaly Detector OSE

ARMv8 Cortex-A76: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Numpy Benchmark

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

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.