ASRock Radeon AI Pro R9700 Creator VS Nvidia GeForce RTX 5090

The most telling performance divide between these two cards lies in raw compute throughput. The Nvidia GeForce RTX 5090 delivers 104.9 TFLOPS of floating-point performance versus 47.84 TFLOPS on the ASRock Radeon AI Pro R9700 Creator — more than double the output. This gap is driven primarily by the RTX 5090's massively wider shader array: 21,760 shading units compared to just 4,096 on the R9700. In practice, this translates to significantly faster rendering, compute workloads, and AI inference tasks that scale with parallel throughput.

The texture and pixel pipelines tell a similar story. The RTX 5090's 680 TMUs and 1,638.8 GTexels/s texture rate dwarf the R9700's 256 TMUs and 747.5 GTexels/s — roughly a 2.2× advantage that matters in complex scene rendering with many high-resolution textures. The RTX 5090 also edges ahead in pixel fill rate (424.2 GPixel/s vs. 373.8 GPixel/s), though this gap is narrower and less decisive on its own. One counterpoint worth noting: the R9700 reaches a higher GPU turbo clock of 2,920 MHz versus the RTX 5090's 2,410 MHz, meaning its individual shader cores run faster — but with only a fraction of the core count, this advantage is largely offset in workloads that benefit from parallelism. The R9700 also sports faster memory at 2,518 MHz versus 1,750 MHz, which can help in memory-bandwidth-sensitive scenarios.

Both cards support Double Precision Floating Point (DPFP), making neither uniquely suited for scientific compute on that basis alone. Overall, the RTX 5090 holds a clear and substantial performance edge across virtually every compute and graphics metric in this group. The R9700's higher clock speeds and memory bandwidth offer some efficiency advantages in targeted use cases, but they cannot close the gap created by the RTX 5090's overwhelming parallelism and more than double the TFLOPS output.

Both cards arrive with an identical 32GB VRAM capacity, which is a genuine bright spot for the R9700 Creator — matching the flagship RTX 5090 at this metric means neither card will hit a capacity wall before the other when handling large AI models, high-resolution textures, or multi-stream video workloads. However, capacity is only part of the memory story, and the remaining specs reveal a significant structural gap.

The RTX 5090's 512-bit memory bus paired with GDDR7 at an effective speed of 28,000 MHz yields a staggering 1,792 GB/s of memory bandwidth — nearly 2.8× the R9700's 644.6 GB/s, which runs a 256-bit bus with GDDR6 at 20,100 MHz. Memory bandwidth is the pipeline that feeds the GPU's compute cores; when it's constrained, even a powerful processor sits idle waiting for data. For bandwidth-hungry tasks — large language model inference, uncompressed 8K video processing, or high-resolution generative AI — the RTX 5090's bandwidth advantage translates directly into faster throughput and less bottlenecking.

Both cards support ECC memory, which is a meaningful shared feature for professional and creator workloads where data integrity under sustained load matters. But on balance, the RTX 5090 holds a commanding memory subsystem advantage. The R9700 Creator's GDDR6 and narrower bus simply cannot match the throughput unlocked by the RTX 5090's wider, faster GDDR7 configuration — making the RTX 5090 the clear winner in this group despite the capacity tie.

Across the features landscape, these two cards are remarkably well-matched. Both support DirectX 12 Ultimate, OpenGL 4.6, ray tracing, 3D output, multi-display configurations up to 4 simultaneous displays, and neither carries LHR restrictions or RGB lighting. For the vast majority of gaming and creative workflows, this shared foundation means neither card has a categorical feature advantage over the other.

The two meaningful differentiators here are OpenCL version and the memory resizing technology each card supports. The RTX 5090 implements OpenCL 3 versus the R9700 Creator's OpenCL 2.2 — a distinction that matters primarily for GPU-accelerated compute applications (scientific simulations, certain video processing pipelines, cross-platform AI frameworks) that explicitly target newer OpenCL features. Meanwhile, the R9700 uses AMD SAM (Smart Access Memory) and the RTX 5090 uses Intel Resizable BAR — both are implementations of the same underlying PCIe BAR resizing concept that allows the CPU to access the full VRAM pool at once, reducing transfer overhead. In practice, the functional benefit is comparable; the difference is ecosystem alignment rather than a performance hierarchy.

Taken together, this group is essentially a near-tie. The RTX 5090's newer OpenCL version gives it a narrow edge for compute-focused workflows that can leverage it, but for the typical gaming or content creation user, the feature sets of these two cards are functionally equivalent.

Port selection on these two cards diverges in a way that reflects their intended audiences. The R9700 Creator ships with 4 DisplayPort outputs and no HDMI, while the RTX 5090 offers 3 DisplayPort outputs plus one HDMI. Both cards support up to 4 simultaneous displays as established in the features group, so the total display count is not affected — but the connector mix has real-world implications depending on your monitor setup.

The R9700's all-DisplayPort configuration is a deliberate choice for professional multi-monitor environments, where DisplayPort daisy-chaining and high-refresh-rate displays are the norm. Having a dedicated fourth DisplayPort is a genuine convenience for users running four monitors without needing adapters. The RTX 5090's inclusion of HDMI, however, makes it more immediately versatile for users who connect to TVs, projectors, or consumer displays that lack DisplayPort — a common scenario for living-room gaming or presentation setups. Its trade-off is one fewer native DisplayPort, meaning a four-DisplayPort setup would require an adapter on the HDMI port.

Neither configuration is objectively superior — the advantage depends entirely on the user's display ecosystem. The R9700 edges ahead for pure multi-monitor desktop builds using DisplayPort hardware, while the RTX 5090's HDMI output makes it the more plug-and-play option for mixed or consumer display environments. Users with four DisplayPort monitors will find the R9700 more convenient out of the box; everyone else will likely appreciate the RTX 5090's HDMI flexibility.

The power consumption gap between these two cards is striking and carries serious practical consequences. The RTX 5090's 575W TDP is nearly double the R9700 Creator's 300W, meaning the RTX 5090 demands a substantially more robust power supply, more aggressive case airflow, and will generate considerably more heat under sustained load. For system builders, this is not a trivial consideration — it affects PSU selection, case compatibility, and long-term electricity costs. The R9700's 300W envelope, by contrast, is far more accommodating and easier to cool in a wider range of builds.

On the silicon side, the RTX 5090's Blackwell architecture packs 92,200 million transistors on a 5nm process, versus the R9700's 53,900 million transistors on a more advanced 4nm node. The R9700's smaller process node is noteworthy — finer lithography generally enables better power efficiency per transistor, which helps explain how it achieves competitive performance metrics relative to its wattage. The RTX 5090 compensates with sheer transistor volume, which underpins its raw compute advantage seen in the performance group. Both cards use PCIe 5.0, so neither has an interface bottleneck advantage in current or near-future systems.

Physically, the RTX 5090 is also the larger card at 304 × 137 mm compared to the R9700's 271 × 111 mm, which could be a factor in smaller or mid-tower cases. Neither card offers liquid cooling in this configuration. On general characteristics, the R9700 Creator holds a meaningful advantage in power efficiency and physical footprint, making it the more system-friendly option — while the RTX 5090's transistor count reflects its position as the higher-ceiling, higher-demand flagship.