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== PowerVR Vision & AI == === Series2NX === The Series2NX family of [[AI accelerator|Neural Network Accelerators (NNA)]] was announced on September 21, 2017. Series2NX core options: {| class="wikitable" style="text-align: center;" |- ! rowspan="2" |Model ! rowspan="2" |Date ! rowspan="2" |Engines ! rowspan="2" |8-bit TOPS ! rowspan="2" |16-bit TOPS ! rowspan="2" |8-bit MACs ! rowspan="2" |16-bit MACs ! rowspan="2" |[[FLOPS|APIs]] |- |- |- | AX2145<ref>{{Cite web |title=PowerVR AX2145 Neural Network Accelerator (NNA) IP Core |url=https://www.imaginationtech.com/products/ai/ |access-date=2019-05-30 |website=Imagination |language=en-GB}}</ref> | rowspan="2" | September 2017 |? | 1 |0.5 |512/clk |256/clk | rowspan="2" | IMG DNN Android NN |- | AX2185<ref>{{Cite web |title=PowerVR AX2185 Neural Network Accelerator (NNA) IP Core |url=https://www.imaginationtech.com/products/ai/ |access-date=2019-05-30 |website=Imagination |language=en-GB}}</ref> |8 | 4.1 |2.0 |2048/clk |1024/clk |} === Series3NX === The Series3NX family of [[AI accelerator|Neural Network Accelerators (NNA)]] was announced on December 4, 2018.<ref name=":2">{{Cite web|url=https://www.anandtech.com/show/13673/imagination-announces-powervr-series3nx-neural-network-accelerator|title=Imagination Goes Further Down the AI Rabbit Hole, Unveils PowerVR Series3NX Neural Network Accelerator|last=Oh|first=Nate|website=www.anandtech.com|access-date=2019-05-30}}</ref> Series3NX core options: {| class="wikitable" style="text-align: center;" |- ! rowspan="2" |Model ! rowspan="2" |Date ! rowspan="2" |Engines ! rowspan="2" |8-bit TOPS ! rowspan="2" |16-bit TOPS ! rowspan="2" |8-bit MACs ! rowspan="2" |16-bit MACs ! rowspan="2" |[[FLOPS|APIs]] |- |- |- |AX3125 | rowspan="5" |December 2018 |? |0.6 |? |256/clk |64/clk | rowspan="5" |IMG DNN Android NN |- | AX3145 |? | 1.2 |? |512/clk |128/clk |- | AX3365 |? | 2.0 |? |1024/clk |256/clk |- |AX3385 |? |4.0 |? |2048/clk |512/clk |- |AX3595 |? |10.0 |? |4096/clk |1024/clk |} Series3NX multi-core options {| class="wikitable" style="text-align: center;" |- ! rowspan="2" |Model ! rowspan="2" |Date ! rowspan="2" |Cores ! rowspan="2" |8-bit TOPS ! rowspan="2" |16-bit TOPS ! rowspan="2" |8-bit MACs ! rowspan="2" |16-bit MACs ! rowspan="2" |[[FLOPS|APIs]] |- |- |- |UH2X40 | rowspan="4" |December 2018 |2 |20.0 |? |8192/clk |2048/clk | rowspan="4" |IMG DNN Android NN |- | UH4X40 |4 | 40.0 |? |16384/clk |4096/clk |- | UH8X40 |8 | 80.0 |? |32768/clk |8192/clk |- |UH16X40 |16 |160.0 |? |65536/clk |16384/clk |} ==== Series3NX-F ==== The Series3NX-F family of [[AI accelerator|Neural Network Accelerators (NNA)]] was announced alongside the Series3NX family. The Series3NX-F family combines the Series 3NX with a Rogue-based GPGPU (NNPU), and local RAM. This allows support for programmability and floating-point.<ref name=":2" />
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