Ai-benchmark.com

Ai-benchmark.com has Server used 192.30.252.154 IP Address with Hostname in United States. Below listing website ranking, Similar Webs, Backlinks. This domain was first 2018-04-26 (2 years, 147 days) and hosted in San Francisco United States, server ping response time 10 ms

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Hosting Provider

Website: Ai-benchmark.com
Hostname: lb-192-30-252-154-iad.github.com
Country:
Region: CA
City: San Francisco
Postal Code: 94107
Latitude: 37.76969909668
Longitude: -122.39330291748
Area Code: 415
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Results For Websites Listing

Found 62 Websites with content related to this domain, It is result after search with search engine

AI-Benchmark

(7 day ago) Run AI Benchmark to test several key AI tasks on your phone and professionally evaluate its performance! LEARN MORE ABOUT THE TASKS. Phone Ranking. Xiaomi Redmi K30 Ultra. MediaTek Dimensity 1000+ 8GB RAM. 135.3. vivo iQOO Z1. Mediatek Dimensity 1000+ 8GB RAM. 133.0. Huawei P40 Pro+. HiSilicon Kirin 990 5G. 8GB RAM. 76.2. Honor 30 Pro+.

http://ai-benchmark.com/

DA: 16 PA: 16 MOZ Rank: 17

AI Benchmark - Apps on Google Play

(7 day ago) 1. New Tasks: OCR, Text Completion and Parallel Model Execution. 2. NNAPI-1.2 compatible Neural Networks added. 3. The total number of tests increased to 46.

https://play.google.com/store/apps/details?id=org.benchmark.demo&hl=en_US

DA: 15 PA: 19 MOZ Rank: 34

ai-benchmark ยท PyPI

(6 day ago) AI Benchmark Alpha is an open source python library for evaluating AI performance of various hardware platforms, including CPUs, GPUs and TPUs. The benchmark is relying on TensorFlow machine learning library, and is providing a lightweight and accurate solution for assessing inference and training speed for key Deep Learning models.. In total, AI Benchmark consists of 42 tests and 19 sections

https://pypi.org/project/ai-benchmark/

DA: 8 PA: 22 MOZ Rank: 30

AI Benchmark โ€“ Aplikace na Google Play

(7 day ago) 1. New Tasks: OCR, Text Completion and Parallel Model Execution. 2. NNAPI-1.2 compatible Neural Networks added. 3. The total number of tests increased to 46.

https://play.google.com/store/apps/details?id=org.benchmark.demo&hl=cs

DA: 15 PA: 19 MOZ Rank: 34

AI Benchmark | VentureRadar

(3 month ago) "AI Benchmark is an android app that measures the speed and memory requirements for several key Computer Vision AI algorithms. Among the tested solutions are Image Classification and Face Recognition methods, Neural Networks used for Image Super-Resolution, and Photo Enhancement, as well as algorithms used in autonomous driving systems.

https://www.ventureradar.com/organisation/AI Benchmark/505d2657-dd8c-4cd9-a1d4-e66e136a931b

DA: 20 PA: 50 MOZ Rank: 85

AI Benchmark: All About Deep Learning on Smartphones in 2019

(7 day ago) The AI Benchmark application was first released in May 2018, with the goal of measuring the AI performance of various mobile devices. The first version (1.0.0) included a number of typical AI tasks and deep learning architectures, and was measuring the execution time and memory consumption of the corresponding AI models.

https://www.groundai.com/project/ai-benchmark-all-about-deep-learning-on-smartphones-in-2019/1

DA: 16 PA: 50 MOZ Rank: 86

Kirin 985 officially appears on AI-benchmark, includes in

(7 day ago) Huawei has just unveiled a new processor โ€“ Kirin 820 5G with Honor 30S and the company has now moved towards the launch of another new chipset โ€“ Kirin 985 with Honor 30 series on April 15.. Under new development, the processor has now confirmed its official presence and appeared on the AI-benchmark platform, achieving an AI score of 50926 points and placed at third rank.

https://www.huaweicentral.com/kirin-985-ai-benchmark-april-2020/

DA: 21 PA: 35 MOZ Rank: 56

MLPerf Performance Benchmarks | NVIDIA

(6 day ago) Our AI benchmarks are setting new records for performance, capturing the top spots in the industry.

https://www.nvidia.com/en-us/data-center/machine-learning-benchmarks/

DA: 14 PA: 47 MOZ Rank: 61

MLPerf

(4 day ago) The MLPerf training benchmark suite measures how fast a system can train ML models. To learn more about it, read the overview, read the training rules, or consult the reference implementation of each benchmark.If you intend to submit results, please read the submission rules carefully before you start work.The v0.7 training results are available.

https://mlperf.org/

DA: 10 PA: 10 MOZ Rank: 11

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