// RUN โ€” FITS

Can the Intel Arc Pro B60 run Selfish-RNN (SNT-ASGD) Stacked LSTMs?

Yes โ€” here's how fast and up to what context, with real measured numbers.

Selfish-RNN (SNT-ASGD) Stacked LSTMs on the Intel Arc Pro B60

QuantFits?Max contextSpeedBeyond context
FP16 yes 313k 5247.6-6514.3 t/s ~460.3-571.4 (slow)
Q8 yes 314k 10495.2-13028.6 t/s ~920.6-1142.9 (slow)
Q4 yes 314k 18741.5-23265.3 t/s ~1644-2040.8 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.

FAQ

Can the Intel Arc Pro B60 run Selfish-RNN (SNT-ASGD) Stacked LSTMs?โ–ถ

Yes. At Q4 it generates ~18741.5-23265.3 tok/s and fits up to 314k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1644-2040.8 tok/s.

How much context fits?โ–ถ

At Q4, up to about 314k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.