m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2

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.

Target: OpenCL - Benchmark: S3D

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: Triad

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: FFT SP

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: MD5 Hash

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: Reduction

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: GEMM SGEMM_N

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: Max SP Flops

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: Bus Speed Download

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: Bus Speed Readback

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

Target: OpenCL - Benchmark: Texture Read Bandwidth

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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.

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.

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: ERROR: Rscript is not found on the system!

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.

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'absl'

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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: deepsparse: line 2: /.local/bin/deepsparse.benchmark: No such file or directory

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.

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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 'spacy'

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

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Model: AlexNet - Acceleration: CPU - Iterations: 200

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Model: AlexNet - Acceleration: CPU - Iterations: 1000

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Model: GoogleNet - Acceleration: CPU - Iterations: 100

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Model: GoogleNet - Acceleration: CPU - Iterations: 200

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Model: GoogleNet - Acceleration: CPU - Iterations: 1000

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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.

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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.

Target: CPU - Model: DenseNet

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Target: CPU - Model: MobileNet v2

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Target: CPU - Model: SqueezeNet v2

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Target: CPU - Model: SqueezeNet v1.1

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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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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

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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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

Benchmark: P3B1

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Benchmark: P3B2

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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.

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

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

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Model: yolov4 - Device: CPU - Executor: Parallel

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Model: yolov4 - Device: CPU - Executor: Standard

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

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

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

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

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

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

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

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

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

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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

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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: 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

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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.

m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2: The test quit with a non-zero exit status. E: SyntaxError: invalid syntax

Mlpack Benchmark

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

Benchmark: scikit_ica

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Benchmark: scikit_qda

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Benchmark: scikit_svm

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Benchmark: scikit_linearridgeregression

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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: SAGA

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Benchmark: Glmnet

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Benchmark: Plot Neighbors

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Benchmark: Plot Lasso Path

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Benchmark: Isolation Forest

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Benchmark: Text Vectorizers

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Benchmark: LocalOutlierFactor

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Benchmark: Plot Incremental PCA

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