At first glance, the raw compute numbers look nearly identical: the ASRock Radeon AI Pro R9700 Creator delivers 47.84 TFLOPS of floating-point performance versus 46.9 TFLOPS for the Nvidia RTX Pro 4000 Blackwell — a difference of under 2%. However, the two cards arrive at that figure through completely opposite architectural philosophies. The R9700 achieves its throughput with far fewer shading units (4,096) running at a much higher turbo clock (2,920 MHz), while the RTX Pro 4000 deploys more than double the shading units (8,960) but relies on a notably lower turbo of 2,617 MHz. In practice, this means the R9700 is more sensitive to workloads that scale with clock speed, whereas the RTX Pro 4000′s wider shader array could theoretically handle more parallelism — though its clocks currently prevent it from pulling ahead on raw TFLOPS.
Where the R9700 establishes a more decisive lead is in pixel throughput and memory bandwidth. Its pixel rate of 373.8 GPixel/s is roughly 49% higher than the RTX Pro 4000′s 251.2 GPixel/s, driven by both its faster clocks and a larger ROP count (128 ROPs vs. 96). A higher pixel rate directly translates to faster rasterization — relevant for high-resolution rendering and viewport-heavy professional applications. Compounding this, the R9700′s memory runs at 2,518 MHz versus the RTX Pro 4000′s 1,750 MHz, a ~44% gap that feeds the GPU pipeline more quickly and helps sustain peak throughput under demanding workloads.
Both cards support Double Precision Floating Point (DPFP), which matters for scientific, simulation, and certain AI workloads. Overall, the R9700 holds a clear performance edge in this group: its superior pixel rate, faster memory, and higher clock speeds give it a structural advantage in rasterization and bandwidth-sensitive tasks. The RTX Pro 4000′s much larger shader array is its strongest counterpoint, but at its current clock speeds it does not translate into a TFLOPS lead — leaving the R9700 as the stronger performer across most of the metrics in this category.