AI Benchmark with TensorFlow-DirectML and Intel UHD Graphics | SB#28

SkatterBencher
SkatterBencher
5.4 هزار بار بازدید - 3 سال پیش - In this video we go
In this video we go through the process of setting up AI Benchmark with TensorFlow-DirectML to run on our Intel UHD Graphics.

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 the TensorFlow machine learning library, and is providing a lightweight solution for assessing inference and training speed for key Deep Learning models.

TensorFlow-DirectML broadens the reach of TensorFlow beyond its traditional Graphics Processing Unit (GPU) support, by enabling high-performance training and inferencing of machine learning models on any Windows devices with a DirectX 12-capable GPU through DirectML, a hardware accelerated deep learning API on Windows.

The Intel Rocket Lake UHD Graphics 750 integrated graphics gets a score of about 1,000 points at stock. When running the AI Benchmark on our 8 Rocket Lake CPU cores using the regular TensorFlow library, we get a score of about 3,000 points. So 3x higher.

Clip from SkatterBencher #28: UHD Graphics 750 (Xe-LP) Overclocked to 1750 MHz With EK-QuantumX Delta TEC Evo UHD Graphics 750 (11th Gen) Overclock...

Blog post: https://skatterbencher.com/tensorflow...
3 سال پیش در تاریخ 1400/06/19 منتشر شده است.
5,434 بـار بازدید شده
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