AMD Radeon PRO W7800

The AMD Radeon PRO W7800 is a professional workstation GPU built on the RDNA 3.0 architecture, fabricated on TSMC's 5 nm process with 57,700 million transistors on a 529 mm² die. It pairs 4,480 shading units with 70 ray tracing cores and a boost clock of 2,525 MHz, while its 32 GB GDDR6 memory and 576.0 GB/s bandwidth target high-end compute and visualization workloads. Benchmark data places it in the 98th percentile of all GPUs, with an average score of 160,108 across OpenCL and Vulkan tests.

Memory Subsystem

The W7800 carries 32 GB of GDDR6 memory on a 256-bit bus, yielding a bandwidth of 576.0 GB/s. This capacity is substantial for large datasets and high-resolution textures, where working sets can exceed the 16 GB or 24 GB limits of lower-tier professional cards. The effective memory speed is 18 Gbps, and the memory clock is listed at 2,250 MHz. For multi-GPU rendering or AI inference workloads that require large in-memory models, the 32 GB pool reduces the need for frequent host transfers. The 256-bit bus width, while narrower than some higher-end parts, is offset by the relatively high GDDR6 data rate; the resulting 576.0 GB/s bandwidth is sufficient to feed the 45.25 TFLOPS FP32 throughput without obvious starvation in typical professional applications. At 4K and beyond, texture-heavy scenes and large frame buffers will benefit from the ample capacity, though the bandwidth is not class-leading. The combination of 32 GB and 576.0 GB/s positions the card for high-resolution rendering, but users with extreme multi-display or massive simulation datasets may still find the bus width a limiting factor compared to cards with wider interfaces.

Who Should Consider It

The W7800 is aimed at professionals who need high compute throughput and large memory capacity without stepping up to the top-tier W7900. With an average benchmark score of 160,108 and a 98th percentile ranking, the data indicates it outperforms the vast majority of GPUs, including many consumer flagships. For tasks such as 3D rendering, video editing, and GPU-accelerated compute, the card delivers strong OpenCL and Vulkan performance. The 32 GB memory makes it suitable for 8K video editing, complex CAD assemblies, and machine learning inference where model weights exceed 16 GB. Based on the benchmark scores, users can expect smooth performance at high resolutions and high-quality settings in most professional applications, though the card is not the absolute fastest in its class. Those who require maximum performance for time-critical renders or real-time ray tracing may need to look at the W7900, which is 3.6% faster in the average benchmark. However, for general professional workloads that are not strictly bound by the fastest possible frame time, the W7800 offers a balanced combination of compute power, memory capacity, and feature support.

Benchmark Performance

The average benchmark score of 160,108 is derived from two tests: Geekbench OpenCL at 154,366 and Geekbench Vulkan at 165,849. The Vulkan score is notably higher, indicating that the card scales well with modern low-level APIs. Compared to its nearest rivals, the W7800 sits in a tight cluster. It is statistically tied with the AMD Radeon Pro W6900X, which scores 160,049, a delta of 0%. Against the AMD Radeon Pro W6800X, the W7800 is 0.1% slower (160,309 vs. 160,108). The NVIDIA RTX A5500 is 0.6% faster, with a score of 161,075. The only meaningful gap is to the AMD Radeon PRO W7900, which leads by 3.6% with a score of 166,059. This pattern suggests that the W7800 is positioned just below the top of the professional stack, but the differences among the W6900X, W6800X, and RTX A5500 are within measurement noise. The 3.6% deficit to the W7900 is small in absolute terms, but in long-running renders or continuous compute jobs, that margin could translate to noticeable time savings. The OpenCL score of 154,366 is lower than the Vulkan score, which may indicate that the card’s driver optimizations favor Vulkan, or that the OpenCL workload is more memory-bound. Overall, the benchmark results show a card that is highly competitive in its segment, with performance that scales well across different API types.

How It Compares

AMD Radeon Pro W6900X

The W6900X is the closest rival, with an average score of 160,049 and a delta of 0% relative to the W7800. The two cards are effectively identical in benchmark performance, despite the W6900X being a previous-generation part. For users deciding between the two, the W7800 offers the advantage of RDNA 3.0 architecture and newer feature support, while the W6900X may have different availability or ecosystem considerations. The performance parity means that neither card has a decisive edge in raw compute.

AMD Radeon Pro W6800X

The W6800X scores 160,309, which is 0.1% higher than the W7800. This difference is negligible and well within run-to-run variance. The W6800X is also a RDNA 2 part, so the W7800 brings architectural improvements such as a smaller process node and higher boost clocks, but the benchmark data shows no practical performance gap. In real-world workloads, the two would be indistinguishable.

NVIDIA RTX A5500

The RTX A5500 averages 161,075, which is 0.6% faster than the W7800. This is a small but consistent lead, likely due to NVIDIA’s mature driver stack and the card’s dedicated tensor cores (which are not present on the W7800). For applications that leverage CUDA or OptiX, the RTX A5500 may have a broader software advantage, but in pure OpenCL and Vulkan compute, the W7800 is nearly on par. The 0.6% delta is not enough to justify switching platforms based on performance alone.

AMD Radeon PRO W7900

The W7900 leads the group with a score of 166,059, which is 3.6% higher than the W7800. This is the largest gap among the nearest rivals, and it reflects the W7900’s higher tier within the Radeon PRO lineup. The W7900 likely offers more memory bandwidth or additional compute units, but those details are not in the immediate comparison. For users who need the absolute maximum performance in professional rendering or simulation, the W7900 is a clear step up, but the 3.6% margin is modest. The W7800 remains a strong alternative for those who prioritize cost efficiency (though pricing is not discussed here) or who require the specific balance of memory and compute that it offers.

Ray Tracing and Feature Set

The W7800 includes 70 ray tracing cores, which provide hardware-accelerated ray tracing for supported applications. This is a significant feature for professional workloads that incorporate real-time ray tracing, such as architectural visualization or product design reviews. The card also supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, covering the major graphics APIs used in professional software. Notably, the specification list does not include tensor cores; this means the W7800 lacks dedicated AI acceleration hardware. For machine learning tasks, the card relies on its general-purpose shader units (FP32 and FP16 with 2:1 ratio) to handle inference and training, which may be less efficient than cards with tensor cores. The FP16 throughput of 90.50 TFLOPS is double the FP32 rate, which can accelerate mixed-precision workloads, but without tensor cores, the card cannot match the dedicated AI performance of NVIDIA RTX products. The ray tracing performance is supported by the RDNA 3.0 architecture, which includes second-generation ray accelerators. The card’s display outputs include three DisplayPort 2.1 ports and one mini-DisplayPort 2.1, enabling high refresh rates and high resolutions on modern displays. The PCIe 4.0 x16 interface provides adequate bandwidth for data transfer, though PCIe 5.0 is not supported. The power delivery is a 260 W TDP with dual 8-pin connectors, requiring a 600 W power supply. The dual-slot design and 280 mm length make it compatible with most workstation chassis. Overall, the feature set is comprehensive for professional graphics, with the notable exception of tensor cores, which limits its appeal for AI-focused workloads.