AMD Radeon RX 9070 GRE 12GB vs AMD Radeon AI PRO R9700 32GB

Both GPUs launched in 2025: the Radeon RX 9070 GRE on RDNA 4 and the Radeon AI PRO R9700 on RDNA 4.

Dense throughput for the Radeon RX 9070 GRE against the Radeon AI PRO R9700: FP32 34 vs 48 TFLOPS, FP16 137 vs 191 TFLOPS, FP8 274 vs 383 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 12 GB against 32 GB, fed at 432 GB/s versus 640 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 220 W for the Radeon RX 9070 GRE and 300 W for the Radeon AI PRO R9700. At FP32 that works out to 0.16 against 0.16 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.