AMD Radeon RX 7900 GRE 16GB vs AMD Radeon RX 7900 XTX 24GB

The Radeon RX 7900 GRE is the newer part: RDNA 3, launched in 2023, against the Radeon RX 7900 XTX's RDNA 3 from 2022. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Dense throughput for the Radeon RX 7900 GRE against the Radeon RX 7900 XTX: FP32 46 vs 61 TFLOPS, FP16 92 vs 123 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 16 GB against 24 GB, fed at 576 GB/s versus 960 GB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

Power budgets are 260 W for the Radeon RX 7900 GRE and 355 W for the Radeon RX 7900 XTX. At FP32 that works out to 0.18 against 0.17 TFLOPS per watt.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.