NVIDIA GeForce RTX 2070 SUPER Max-Q vs NVIDIA GeForce RTX 4090 Mobile

The NVIDIA GeForce RTX 2070 SUPER Max-Q is a mobile graphics card that launched in Q2 2020. It is built on the Turing GPU microarchitecture (codename TU104) and is manufactured on a 12 nm process.

Memory

The RTX 2070 SUPER Max-Q has 8 GB of GDDR6 memory, with a 1,375 MHz memory clock and a 256 bit interface. This gives it a memory bandwidth of 352 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 2070 SUPER Max-Q includes 2,560 CUDA cores, the processing units for handling parallel computing tasks. The GPU operates at a core clock speed of 930 MHz and can dynamically boost its clock speed up to 1,155 MHz. Complementing the processing units are 160 texture mapping units (TMUs) for efficient texture filtering and 64 render output units (ROPs) for pixel processing. Additionally, the GPU features 320 tensor cores optimized for AI-accelerated workloads and 40 RT cores dedicated to real-time ray tracing calculations.

Compatibility & Power Consumption

The GPU has a thermal design power (TDP) of 80 W. A power supply not strong enough to handle this might result in system crashes and potentially damage your hardware.

Benchmark Performance

The RTX 2070 SUPER Max-Q has the 85th best 3DMark 11 Performance GPU score among the 543 benchmarked GPUs in our database. It achieves 26.51% of the performance of the best benchmarked GPU, the NVIDIA GeForce RTX 4090.