Benchmarks Overview
With inputs from Mario Serrafero
- AnTuTu: This is a holistic benchmark. AnTuTu tests the CPU, GPU, and memory performance, while including both abstract tests and, as of late, relatable user experience simulations (for example, the subtest which involves scrolling through a ListView). The final score is weighted according to the designer’s considerations.
- GeekBench: A CPU-centric test that uses several computational workloads including encryption, compression (text and images), rendering, physics simulations, computer vision, ray tracing, speech recognition, and convolutional neural network inference on images. The score breakdown gives specific metrics. The final score is weighted according to the designer’s considerations, placing a large emphasis on integer performance (65%), then float performance (30%) and finally crypto (5%).
-
GFXBench:
Aims to simulate video game graphics rendering using the latest APIs. Lots of
onscreen effects and high-quality textures. Newer tests use Vulkan while
legacy tests use OpenGL ES 3.1. The outputs are frames during test and frames
per second (the other number divided by the test length, essentially), instead
of a weighted score.
- Aztec Ruins: These tests are the most computationally heavy ones offered by GFXBench. Currently, top mobile chipsets cannot sustain 30 frames per second. Specifically, the test offers really high polygon count geometry, hardware tessellation, high-resolution textures, global illumination and plenty of shadow mapping, copious particle effects, as well as bloom and depth of field effects. Most of these techniques will stress the shader compute capabilities of the processor.
- Manhattan ES 3.0/3.1: This test remains relevant given that modern games have already arrived at its proposed graphical fidelity and implement the same kinds of techniques. It features complex geometry employing multiple render targets, reflections (cubic maps), mesh rendering, many deferred lighting sources, as well as bloom and depth of field in a post-processing pass.
-
MLPerf Mobile:MLPerf
Mobile is an open-source benchmark for testing mobile AI performance. It was
created by MLCommons, a non-profit, open engineering consortium, to
"deliver transparency and a level playing field for comparing ML systems,
software, and solutions." MLPerf Mobile's first iteration provides an
inference-performance benchmark for a handful of computer vision and natural
language processing tasks. For more information, refer to the paper "MLPerf
Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do
About It."
- Image classification: This test involves inferring a label to apply to an input image. Typical use cases include photo searches or text extraction. The reference model used is MobileNetEdgeTPU with 4M parameters, the dataset is ImageNet 2012 (224x224), and the quality target is 98% of FP32 (76.19% Top-1).
- Image segmentation: This test involves partitioning an input image into labeled objects. Typical use cases include self-driving or remote sensing. The reference model used is DeepLab v3+ with 2M parameters, the dataset is ADE20K (512x512), and the quality target is 93% of FP32 (0.244 mAP).
- Object detection: This test involves drawing bounding boxes around objects as well as providing a label for those objects. Typical use cases involve camera input such as for hazard detection or traffic analysis while driving. The reference model is SSD-MobileNet v2 with 17M parameters, the dataset is COCO 2017 (300x300), and the quality target is 97% of FP32 (54.8% mIoU).
- Language processing: This test involves responding to questions colloquially. Typical use cases include online search engines. The reference model is MobileBERT with 25M parameters, the dataset is mini Squad (Stanford Question Answering Dataset) v1.1 dev, and the quality target is 93% of FP32 (93.98% F1).
xda-developers.com snapdragon-888-benchmarks
Geekbench 6
Geekbench 6 is a cross-platform benchmark that measures your system's performance with the press of a button. How will your mobile device or desktop computer perform when push comes to crunch? How will it compare to the newest devices on the market?
CPU Benchmark
Geekbench 6 measures your processor's single-core and multi-core power, for everything from checking your email to taking a picture to playing music, or all of it at once. Geekbench 6's CPU benchmark measures performance in new application areas including Augmented Reality and Machine Learning, so you'll know how close your system is to the cutting-edge.
GPU Compute Benchmark
Test your system's potential for gaming, image processing, or video editing with the Compute Benchmark. Test your GPU's power with support for the OpenCL, Metal, and Vulkan APIs. New to Geekbench 6 is a new GPU API abstraction layer and new Machine Learning workloads.
Real-World Tests
Geekbench uses practical, everyday scenarios and datasets to measure performance. Each test is based on tasks found in popular real-world apps and uses realistic data sets, ensuring that your results are relevant and applicable.
Cross-Platform
Compare apples and oranges. Or Apples and Samsungs. Designed from the ground-up for cross-platform comparisons, Geekbench 6 allows you to compare system performance across devices, operating systems, and processor architectures. Geekbench 6 supports Android, iOS, macOS, Windows, and Linux.
Geekbench Browser
Upload your results to the Geekbench Browser to share them with others, or to let the world know how fast (or slow) your devices can go! You can track all your results in one place by creating an account, and find them easily from any of your devices.
Benchmark Charts
Verify device performance using the Geekbench Benchmark Charts. Available on the Geekbench Browser, these charts are based on data aggregated from real users in real-world environments. Whether you're considering a new purchase or are curious about a device's capabilities, use these charts to make informed decisions.
5 best benchmark tools like Geekbench for smartphones
Geekbench is the most popular tool for benchmarking on Android as well as iOS devices. Employing it grants the user information about the performance capabilities of their smartphone. Benchmarking allows users to compare the performance of their smartphones against others in the market. While Geekbench has been a popular tool used for this purpose on mobiles for years, there are now several other options available that provide even more detailed performance reports.
Benchmarks are a good way to obtain information about a device but are not enough to offer a verdict. At the end of the day, what matters is if the phone is delivering what is expected of it. With that in mind, here are the five best benchmarking tools for smartphones in 2023.
Top five benchmarking tools like Geekbench
1) AnTuTu Benchmark
This is one of the most popular benchmarking tools after Geekbench available for smartphones. It measures several aspects of a device's performance, including CPU, GPU, memory, and user experience.
Like Geekbench, it also provides a detailed breakdown of the device's performance in each category, allowing users to identify areas where their phone may be lagging. AnTuTu Benchmark is available for both Android and iOS mobiles and is regularly updated to support the latest smartphones. The score given by AnTuTu is mostly used to test the capabilities of gaming-oriented phones.
2) 3DMark
3DMark is a benchmarking tool that is slightly different from Geekbench and is specifically designed to measure the graphical performance of a device. It uses several graphics tests to measure the phone's ability to handle different types of graphics-intensive applications, including games and virtual-reality content.
3DMark also includes a stress test that pushes devices to their limits, allowing users to see how well their phone performs under heavy load. This benchmark app is available for both Android and iOS devices and is regularly updated to support the latest graphics technologies.
3) GFXBench
GFXbench is a graphics-focused benchmark app
GFXBench is another graphics-focused benchmarking tool that measures the device's ability to handle 3D graphics. It conducts several tests that involve the phone's proficiency in rendering different types of 3D graphics, including gaming and virtual-reality applications.
GFXBench also includes a battery test that measures the device's battery life while running graphics-intensive applications. This offering is available for both Android and iOS devices and is also regularly updated to support the latest visual technologies.
4) PCMark for Android
PCMark for Android is a benchmarking tool designed to measure the overall performance of a device. It comes with several tests that measure the device's ability to handle different types of applications. This includes web browsing, video playback, and multitasking.
PCMark for Android also offers a test that puts battery life under different usage scenarios. The benchmarking tool is available on Android devices and supports the latest operating systems and hardware.
5) PassMark
PassMark is a simple and lightweight benchmarking tool that houses various performance tests under one roof. You can check the performance of your phone using the CPU, disc, memory, 2D, and 3D graphic tests provided by this offering.
With PassMark, you get a thorough analysis of your device's graphical capabilities because 2D and 3D graphics are tested separately. Additionally, you can examine your device's overall application startup times and responsiveness by running the memory and disc tests.
Anshuman Panda Technology Hardware and Devices Smartphones Sportskeeda Best-benchmark-tools-like-geekbench-smartphones
Disclaimer: Some of the contents of this website have been taken from various sources on the internet. If you find any content that should be removed from this site because of Copyrights, please send a message and it will be promptly removed.
|
|
|
|
Home/ Info/ Products/ BIG TECH Metaverse Metaverse Vs. Virtual Reality PC Buyers Guide/ IEEE 802 Standards Social Media Platforms Computer & IT Certifications Processor Generations Memory DDR3 Vs. DDR4 SSD Vs. HDD SAS vs. SATA HTML 5G Android Tips and Tricks STEM Business Intelligence Tools Web Intelligence Quantum Computing Artificial Intelligence (AI) ChatGPT Robotics Internet of Things (IOT) Web Of Things (WoT) Renewable Energy Nano Technology Cleantech Office Suites Windows Run Commands Hiren's Boot CD Android Vs. IOS Mac Vs. PC Mac Keyboard Shortcuts Linux CLi Commands Venus Project/ Computer Security and Law Techno Lingo Encyclopedias Search Engines Glossary Online Jobs Contact
Active Components Passive Components Test Electrical Components Electronics Classification
AWS Certification Google Certification Oracle Certifications cisco certifications Huawei Certification Microsoft Certifications Linux Certification Business Certifications
Google-Cloud-Platform-Guide Amazon-Web-Services-Guide Global-Cloud-Infrastructure-Of-AWS Amazon-Web-Services-Cli-Guide AWS-Cloudformation Devops Microsoft-Azure Oracle-Cloud Digitalocean-Cloud Openstack-Cloud IaC CloudFormation Anatomy Edge Vs. Cloud Vs. Fog Computing Security Topics
Certified Enterprise Blockchain Professional (CEBP) Web 3.0 Satoshi Nakamoto Cryptocurrency Dark Web Ethereum NFT Merkle Tree El-Salvador eNaira Challenges Of Crypto To Cash
Web C++ JAVA Python Python Glossary Angular.js Scala
Copyright BICT Solutions Privacy Policy. | Terms and Conditions apply | All rights reserved.