ARM Neon vs Intel SSE

Hello experts.

Its my first question and it is regarding ARM Neon engine performance compared to Intel SSEx.

Introduction.

I took C-function which performs addition on 16-bit data in array and wrote it using ARM Neon intrinsics,

also the same function I wrote with Intel SSE intrinsics, I executed these two versions on appropriate platforms and

measured execution time.

On Intel platform (under Ubuntu OS) I used Time Stamp Counter (RDTSC instruction), I did many executions to calculate mean time of function execution in first case written on C and in second written on C + SSE intrinsics.

On ARM platform (under Android OS) I used library function clock_gettime (time.h) to get execution time, CLOCK_MONOTONIC parameter was used in function call

clock_gettime to get monotonic time, I did the same mean time measurements in first case for C code and in second case for C + Neon intrinsics. Timer resolution on device was coarse-grained, under tests I revealed that 1 step of counter is 50 nanoseconds. Also I want to note that architecture of processor core on device is CortexA-75 (out-of-order).

On both platforms application was executed in single thread under OS.

Intrinsics were the same, for SSE it was _mm_adds_epu16, for Neon it was vqaddq_u16

After measurements I saw difference in execution time:

1) C-function + SSE compared to simple C-function -> ~ x6 times of speed up

2) C-function + Neon compared to simple C-function -> ~ x3 times of speed up 

So the question is next.

Is this maximum speed up, I mean arithmetic not including memory latencies, it is because of Neon engine hardware limitations? Neon is slower than SSE?

I saw from ARM Cortex-A75 software optimization guide that Aarch64 UQADD take 3 cycles,

the same Intel SSE instruction paddusw takes 1 cycle, so can I conclude that Neon is slower than SSE?