I run the sample matrixMulCUBLAS in CUDAsamples on jetson TX2 with the following results printing in the terminal: Performance= 77.83GFlop/s, Time= 2.526 msec, Size= 196608000 Ops
While I run the sanme sample on a laptop with GeForce 940M and get the following result: Performance= 443.65 GFlop/s, Time= 0.443 msec, Size= 196608000 Ops
It seems that the performance of 940M is better than Jetson TX2. But 940M is a compute-capability 5.0 GPU,and TX2 is cc6.2.
Is the device with higher cc supposed to be faster?
Hi @carolyuu. I maximaize the governors as you said and get the same reault as you. So on this sample the performance of TX2 is similar to 940M.
My first question: isn’t TX2 supposed to be faster than a ccompute-capability 5.0 GPU?
TX2 is on Pascal GPU design and should be faster than Maxwell(5.x) architecture.
But it is inappropriate to compare a desktop GPU with an embedding GPU. The processes number are entirely different.