Stefan Mileschin

Since Imagination’s original announcement of the PowerVR Series2NX Neural Network Accelerator (NNA) last fall, the machine learning and AI “hype train” has not paused in the slightest. For the embedded and mobile space where the 2NX NNA competes in, there have been plenty of AI hardware developments in that time: CEVA’s NeuPro, Cambricon’s neural processing unit (NPU) in the Kirin 970, and yet more details of Arm’s “Project Trillium” machine learning processor, which has yet to be finalized. Today is Imagination’s turn, and the company is announcing the first products in the 2NX NNA family: the higher-performance AX2185 and lower-cost AX2145.

Given the traditional spectrum of embedded and mobile markets, Imagination is positioning the AX2185 for higher-end smartphones, smart surveillance systems, and automotive, while pushing the low-bandwidth-tuned AX2145 for lower-end applications, including DTV and set-top boxes (STB). For all these use-cases, particularly mobile and smart surveillance, Imagination sees these two new IP blocks as providing superior inferencing performance within a given power profile and silicon footprint. But as with their previous briefing, specific numbers were sparse.

In any case, Imagination is claiming up to 4.1 TOPS on the AX2185 and 1 TOPS for the AX2145; these metrics seem based off of the maximum 2048 8-bit multiply-and-accumulate operations (MACs) per clock capability. It was noted that AX2185 comes equipped with eight full-width compute engines, but it is not clear if this is the same for the AX2145, which was optimized for ultra-low-bandwidth.

https://www.anandtech.com/show/12931...k-accelerators