# What does 8x8 MACs mean - previous answer challenged

Hi,

I was looking at the answer to the question posted 3 years ago, which tries to explain what 8x8 MACs mean in the Ethos NPUs specs.

I will copy past the core of the accepted answer:

"

Let me explain in more detail with considering 256 MAC config.

256 MAC config means that can do 256 8x8 multiplications per cc. A MAC counts as two operations (mul+add).

Suppose you have a network of 8 bit IFM. for e.g

INPUT :  10 * 10 * 3

Convolution : 128*3*3*3 (3x3x3 (HxWxD) kernel and 128 filter) (Same pad)

Output shape: 8*8*128

MAC = 8*8*128*3*3*3 = ~221184 MACs

Now, 256 8*8 MAC can happen in one clock cycle. So, you would need 221184/256 = ~864 cc for computing these MAC's.

"

1. If 221184 MACs is divided by 256 MACs then where does the 8x8 part come in? That is just dividing total MACs required for that layer by 256MACs per cc. If it was 256 8x8, then I'd assume it's 256*8*8 = 16384 MACs/cc and the answer should be 13.5 which is rounded to 14 cycles. Where do I make mistake?

2. According to tensorflow naming the padding that makes 10x10x3 input into 8x8x128 input is 'valid' padding not same'.