// RUN โ€” FITS

Can the NVIDIA GeForce RTX 5090 run EfficientNet-B1?

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

EfficientNet-B1 on the NVIDIA GeForce RTX 5090

QuantFits?Max contextSpeedBeyond context
FP16 yes 426k 83856.4-99938.5 t/s ~1871.8-2230.8 (slow)
Q8 yes 426k 167712.8-199876.9 t/s ~3743.6-4461.5 (slow)
Q4 yes 426k 299487.2-356923.1 t/s ~6685-7967 (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 NVIDIA GeForce RTX 5090 run EfficientNet-B1?โ–ถ

Yes. At Q4 it generates ~299487.2-356923.1 tok/s and fits up to 426k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~6685-7967 tok/s.

How much context fits?โ–ถ

At Q4, up to about 426k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.