tgls

Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2311135-PTS-TGLS547809&grw.

Stress-NG

Test: Hash

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Test: MMAP

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Test: NUMA

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Test: Pipe

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Test: Poll

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Test: Zlib

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Test: Futex

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Test: MEMFD

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Test: Mutex

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Test: Atomic

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Test: Crypto

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Test: Malloc

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Test: Cloning

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Test: Forking

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Test: Pthread

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Test: AVL Tree

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Test: IO_uring

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Test: SENDFILE

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Test: CPU Cache

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Test: CPU Stress

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Test: Semaphores

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Test: Matrix Math

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Test: Vector Math

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Test: AVX-512 VNNI

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Test: Function Call

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Test: x86_64 RdRand

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Test: Floating Point

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Test: Matrix 3D Math

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Test: Memory Copying

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Test: Vector Shuffle

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Test: Mixed Scheduler

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Test: Socket Activity

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Test: Wide Vector Math

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Test: Context Switching

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Test: Fused Multiply-Add

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Test: Vector Floating Point

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Test: Glibc C String Functions

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Test: Glibc Qsort Data Sorting

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Test: System V Message Passing

DaCapo Benchmark

Java Test: Jython

DaCapo Benchmark

Java Test: Eclipse

DaCapo Benchmark

Java Test: GraphChi

DaCapo Benchmark

Java Test: Tradesoap

DaCapo Benchmark

Java Test: Tradebeans

DaCapo Benchmark

Java Test: Spring Boot

DaCapo Benchmark

Java Test: Apache Kafka

DaCapo Benchmark

Java Test: Apache Tomcat

DaCapo Benchmark

Java Test: jMonkeyEngine

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

DaCapo Benchmark

Java Test: Apache Cassandra

DaCapo Benchmark

Java Test: Apache Xalan XSLT

DaCapo Benchmark

Java Test: Batik SVG Toolkit

DaCapo Benchmark

Java Test: H2 Database Engine

DaCapo Benchmark

Java Test: FOP Print Formatter

DaCapo Benchmark

Java Test: PMD Source Code Analyzer

DaCapo Benchmark

Java Test: Apache Lucene Search Index

DaCapo Benchmark

Java Test: Apache Lucene Search Engine

DaCapo Benchmark

Java Test: Avrora AVR Simulation Framework

DaCapo Benchmark

Java Test: BioJava Biological Data Framework

DaCapo Benchmark

Java Test: Zxing 1D/2D Barcode Image Processing

DaCapo Benchmark

Java Test: H2O In-Memory Platform For Machine Learning

BRL-CAD

VGR Performance Metric

QuantLib

Configuration: Multi-Threaded

QuantLib

Configuration: Single-Threaded

OpenRadioss

Model: Cell Phone Drop Test

OpenRadioss

Model: Bird Strike on Windshield

OpenRadioss

Model: Rubber O-Ring Seal Installation

CloverLeaf

Input: clover_bm

CloverLeaf

Input: clover_bm64_short

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

NCNN

Target: CPU - Model: mobilenet

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

NCNN

Target: CPU - Model: shufflenet-v2

NCNN

Target: CPU - Model: mnasnet

NCNN

Target: CPU - Model: efficientnet-b0

NCNN

Target: CPU - Model: blazeface

NCNN

Target: CPU - Model: googlenet

NCNN

Target: CPU - Model: vgg16

NCNN

Target: CPU - Model: resnet18

NCNN

Target: CPU - Model: alexnet

NCNN

Target: CPU - Model: resnet50

NCNN

Target: CPU - Model: yolov4-tiny

NCNN

Target: CPU - Model: squeezenet_ssd

NCNN

Target: CPU - Model: regnety_400m

NCNN

Target: CPU - Model: vision_transformer

NCNN

Target: CPU - Model: FastestDet

NCNN

Target: Vulkan GPU - Model: mobilenet

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

NCNN

Target: Vulkan GPU - Model: mnasnet

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

NCNN

Target: Vulkan GPU - Model: blazeface

NCNN

Target: Vulkan GPU - Model: googlenet

NCNN

Target: Vulkan GPU - Model: vgg16

NCNN

Target: Vulkan GPU - Model: resnet18

NCNN

Target: Vulkan GPU - Model: alexnet

NCNN

Target: Vulkan GPU - Model: resnet50

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

NCNN

Target: Vulkan GPU - Model: regnety_400m

NCNN

Target: Vulkan GPU - Model: vision_transformer