NVIDIA GeForce RTX 4070 SUPER vs AMD Radeon R9 Nano

The NVIDIA GeForce RTX 4070 SUPER is a desktop graphics card that launched in Q1 2024 with a MSRP of $599. It is built on the Ada Lovelace GPU microarchitecture (codename AD104) and is manufactured on a 5 nm process.

Memory

The RTX 4070 SUPER has 12 GB of GDDR6X memory, with a 1,313 MHz memory clock and a 192 bit interface. This gives it a memory bandwidth of 504.2 Gb/s, which affects how fast it can transfer data to and from memory. GPU memory stores temporary data that helps the GPU with complex math and graphics operations. More memory is generally better, as not having enough can cause performance bottlenecks.

Cores and Clock Speeds

The RTX 4070 SUPER includes 7,168 CUDA cores, the processing units for handling parallel computing tasks. The GPU operates at a core clock speed of 1,980 MHz and can dynamically boost its clock speed up to 2,475 MHz. Complementing the processing units are 224 texture mapping units (TMUs) for efficient texture filtering and 80 render output units (ROPs) for pixel processing. Additionally, the GPU features 224 tensor cores optimized for AI-accelerated workloads and 56 RT cores dedicated to real-time ray tracing calculations.

Compatibility & Power Consumption

The RTX 4070 SUPER occupies 2 PCIe expansion slots. It supports 1x HDMI 2.1, 3x DisplayPort 1.4a display connections. NVIDIA recommends a power supply of at least 550 W to handle the GPU's thermal design power (TDP) of 220 W.

Benchmark Performance & Value

The RTX 4070 SUPER has the 11th best 3DMark 11 Performance GPU score among the 543 benchmarked GPUs in our database. It achieves 65.37% of the performance of the best benchmarked GPU, the NVIDIA GeForce RTX 4090. Its 68,373 score and $599 launch price (MSRP) gives it a performance per dollar of 114.15. This is the 11th best in value for the 3DMark 11 Performance GPU benchmark.