AMD Radeon Pro W6900X vs NVIDIA PG506-232 Comparison

The data shows a decisive victory for the NVIDIA PG506-232 over the AMD Radeon Pro W6900X in the single available cross-platform benchmark, but the comparison is more nuanced than a simple score suggests. The NVIDIA card wins the OpenCL test by a massive margin, yet the AMD card counters with superior performance in its native Metal and Vulkan APIs, and it holds a commanding lead in raw compute specifications like FP32 throughput.

Head-to-Head Benchmarks

The only directly comparable benchmark in the dataset is Geekbench OpenCL, and the NVIDIA PG506-232 dominates it. The NVIDIA card scores 225,124 against the AMD Radeon Pro W6900X’s 130,035, a delta of 73.1% in NVIDIA’s favor. This is not a marginal victory; it is a near-total rout in the OpenCL compute workload, indicating that the PG506-232’s architecture is far more efficient at translating its compute resources into OpenCL performance.

However, the AMD card’s average benchmark score is dragged down by this single OpenCL result. Its own native-API scores tell a different story. In Geekbench Metal, the W6900X scores 226,821, which is slightly higher than the PG506-232’s OpenCL score of 225,124. In Geekbench Vulkan, the AMD card posts 148,865, which, while lower than its Metal score, is still 14.5% higher than its own OpenCL result. This suggests that the W6900X is heavily optimized for Apple’s Metal framework and the Vulkan API, where it likely outperforms the NVIDIA card, though no direct head-to-head data exists for those tests.

The deltaPct values against nearest rivals provide additional context. The PG506-232’s 225,124 average score places it 8.7% ahead of the NVIDIA A100 PCIe 80 GB (207,124) and 14.9% ahead of the NVIDIA RTX 6000D (195,964). It trails the NVIDIA L20 (251,147) by 10.4%, but sits just 2.4% above the AMD Radeon PRO W7900D (219,827). The W6900X, with an average score of 168,574, is only 1.5% ahead of the NVIDIA RTX 4500 Ada Generation (166,094) and 2% ahead of the NVIDIA RTX A5500 (165,217), indicating that its overall standing is much closer to mid-range workstation cards than to the top-tier compute accelerators.

Architecture Differences

The two cards are built on fundamentally different architectures, which explains their divergent benchmark behavior. The NVIDIA PG506-232 uses the GA100 chip based on the Ampere architecture, fabricated on a 7 nm process at TSMC. It packs 54,200 million transistors on an 826 mm² die, yielding a transistor density of 65.6 million per mm². The AMD Radeon Pro W6900X uses the Navi 21 chip based on RDNA 2.0, also on TSMC’s 7 nm node, but with only 26,800 million transistors on a 520 mm² die, for a density of 51.5 million per mm². The NVIDIA chip is physically larger and more transistor-dense, which typically translates to more compute resources per square millimeter.

Memory configurations diverge sharply. The PG506-232 has 24 GB of HBM2 memory on a 3072-bit bus, delivering 933.1 GB/s of bandwidth. The W6900X has 32 GB of GDDR6 memory on a 256-bit bus, delivering only 512.0 GB/s. The NVIDIA card’s memory bandwidth is nearly double that of the AMD card, a critical advantage for memory-bound compute workloads. The W6900X compensates with more capacity, but the bandwidth deficit is significant.

Compute unit counts also favor the AMD card in raw parallel throughput. The W6900X has 5120 shading units, 320 texture mapping units, and 128 render output units, while the PG506-232 has 3584 shading units, 224 TMUs, and 96 ROPs. This gives the AMD card a 42.9% advantage in shading units, a 42.9% advantage in TMUs, and a 33.3% advantage in ROPs. Consequently, the W6900X’s FP32 throughput is 22.23 TFLOPS versus the PG506-232’s 10.32 TFLOPS, a 115.4% advantage. The AMD card also has 80 ray tracing cores, while the NVIDIA card has none listed, and the NVIDIA card has 224 tensor cores, which the AMD card lacks entirely.

Clock speeds amplify these differences. The W6900X runs at a base clock of 1825 MHz and boosts to 2171 MHz, while the PG506-232 operates at a much lower 930 MHz base and 1440 MHz boost. The AMD card’s higher clocks contribute directly to its superior pixel rate (277.9 GPixel/s vs 138.2 GPixel/s) and texture rate (694.7 GTexel/s vs 322.6 GTexel/s). The NVIDIA card’s lower clocks are offset by its memory bandwidth and tensor core capabilities, which are absent from the AMD card.

Where Each One Wins

The NVIDIA PG506-232 wins decisively in OpenCL compute benchmarks, making it the clear choice for general-purpose GPU compute workloads that rely on this API. Its 73.1% lead over the W6900X in OpenCL is substantial, and its memory bandwidth of 933.1 GB/s, combined with 224 tensor cores, positions it as a strong candidate for AI inference and training tasks, though no direct tensor core benchmark is available in the data. Its 99th percentile ranking among all GPUs, versus the W6900X’s 97th, reinforces its status as a top-tier compute accelerator.

The AMD Radeon Pro W6900X wins in raw compute throughput, offering more than double the FP32 performance (22.23 TFLOPS vs 10.32 TFLOPS). This makes it superior for workloads that are heavily parallel but do not require tensor core acceleration, such as certain scientific simulations or graphics rendering. Its higher pixel rate and texture rate indicate better performance in rasterization-heavy tasks. The card also supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, whereas the NVIDIA card lists no API support in its specifications, suggesting the AMD card is far more versatile for graphics and gaming-oriented applications. The W6900X’s display outputs (1x HDMI 2.1 and 4x Thunderbolt) also give it a clear advantage in any scenario requiring video output, as the PG506-232 has no display outputs at all.

FAQ

Q: Which card has a higher average benchmark score?

A: The NVIDIA PG506-232 has an average benchmark score of 225,124, which is 33.5% higher than the AMD Radeon Pro W6900X’s 168,574.

Q: How large is the performance gap in the Geekbench OpenCL test?

A: The NVIDIA PG506-232 scores 225,124 in OpenCL, which is 73.1% higher than the AMD card’s 130,035 in the same test.

Q: Does the AMD card perform better in any benchmark?

A: Yes, the AMD Radeon Pro W6900X scores 226,821 in Geekbench Metal and 148,865 in Geekbench Vulkan, both of which are higher than its own OpenCL score, though no direct comparison to the NVIDIA card exists for those tests.

Q: Which card has more memory bandwidth?

A: The NVIDIA PG506-232 has 933.1 GB/s of memory bandwidth, compared to the AMD card’s 512.0 GB/s.

Q: Which card has higher raw FP32 compute performance?

A: The AMD Radeon Pro W6900X has an FP32 throughput of 22.23 TFLOPS, which is more than double the NVIDIA PG506-232’s 10.32 TFLOPS.

Q: What is the launch MSRP of the AMD card?

A: The AMD Radeon Pro W6900X has a launch MSRP of 5,999 USD.

Specification Differences

The two cards differ in nearly every specification category. The NVIDIA PG506-232 uses the GA100 chip with an Ampere architecture, while the AMD card uses the Navi 21 chip with RDNA 2.0. The NVIDIA card has more transistors (54,200 million vs 26,800 million) and a larger die (826 mm² vs 520 mm²), but the AMD card has a higher base clock (1825 MHz vs 930 MHz) and boost clock (2171 MHz vs 1440 MHz). Memory differs entirely: 24 GB of HBM2 on a 3072-bit bus for NVIDIA versus 32 GB of GDDR6 on a 256-bit bus for AMD, with bandwidth favoring NVIDIA (933.1 GB/s vs 512.0 GB/s).

Compute resources favor the AMD card, which has 5120 shading units, 320 TMUs, 128 ROPs, and 80 ray tracing cores, versus the NVIDIA card’s 3584 shading units, 224 TMUs, 96 ROPs, and no ray tracing cores. The NVIDIA card has 224 tensor cores, which the AMD card lacks entirely. Pixel rate (277.9 GPixel/s vs 138.2 GPixel/s) and texture rate (694.7 GTexel/s vs 322.6 GTexel/s) both favor AMD, as does FP32 (22.23 TFLOPS vs 10.32 TFLOPS) and FP16 (44.46 TFLOPS vs 10.32 TFLOPS).

Power consumption and interface also differ: the NVIDIA card has a TDP of 165 W and uses a PCIe 4.0 x16 interface, while the AMD card has a TDP of 300 W and uses an Apple MPX bus. The NVIDIA card uses an 8-pin EPS power connector and has a suggested PSU of 450 W, whereas the AMD card has no listed power connectors and a suggested PSU of 700 W. Display outputs are exclusive to the AMD card, which offers 1x HDMI 2.1 and 4x Thunderbolt, while the NVIDIA card has no outputs. The AMD card supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the NVIDIA card lists no API support.

The Verdict

The data supports a clear split based on workload. The NVIDIA PG506-232 is the superior choice for OpenCL-based compute tasks, where it outperforms the AMD card by 73.1%. Its higher memory bandwidth, tensor cores, and 99th percentile ranking make it the better option for AI and data-center-style workloads that leverage these features. The 24 GB of HBM2 memory, while smaller in capacity, offers nearly double the bandwidth of the AMD card’s GDDR6, which is critical for large data transfers.

The AMD Radeon Pro W6900X is the better pick for graphics-intensive or Apple-ecosystem workflows. Its support for Metal and Vulkan, combined with display outputs and a full API suite, makes it a versatile workstation card for rendering, visualization, or any task that requires a monitor connection. Its more than double FP32 performance and higher pixel/texture rates also make it superior for raw parallel compute that does not rely on tensor cores. The 32 GB memory capacity provides more headroom for large datasets, even if bandwidth is lower.

Users who need a headless compute accelerator with top-tier OpenCL performance should choose the NVIDIA PG506-232. Users who need a graphics-capable card with strong Metal and Vulkan performance, or who work within Apple’s MPX ecosystem, should choose the AMD Radeon Pro W6900X. The benchmark data does not support one card as a universal winner; it supports each card as the winner in its respective domain.