AMD Radeon Pro W6800X vs NVIDIA RTX 4000 Ada Generation Comparison

AMD Radeon Pro W6800X and NVIDIA RTX 4000 Ada Generation target different corners of the workstation market, and the benchmark data reflects that split clearly. The AMD card, built on RDNA 2.0, is a Mac-centric powerhouse with a massive 32 GB memory pool, while the NVIDIA card, based on Ada Lovelace, is a lean, efficient PCIe solution that wins the one direct benchmark they share. The data shows a 97th percentile ranking for the AMD part versus a 95th for the NVIDIA, but that overall standing masks a significant gap in raw compute performance where the NVIDIA card leads.

Where Each One Wins

The RTX 4000 Ada Generation is the outright winner in the only head-to-head benchmark available: Geekbench OpenCL. It scored 146,593 against the W6800X’s 124,498, a 15.1% advantage. This is not a marginal lead; it is a decisive margin that places the NVIDIA card firmly ahead in general-purpose compute workloads that rely on OpenCL. For builders prioritizing raw floating-point throughput in that API, the choice is clear.

The AMD Radeon Pro W6800X, however, wins in the broader context of memory capacity and interface flexibility. Its 32 GB of GDDR6 is 60% larger than the NVIDIA’s 20 GB, and its 512.0 GB/s bandwidth is 42% higher than the 360.0 GB/s on the RTX 4000 Ada. The AMD card also offers a 1x HDMI 2.1 and 4x Thunderbolt output configuration, which is ideal for Mac Pro users, whereas the NVIDIA card provides 4x DisplayPort 1.4a for traditional PC setups. In terms of raw shading power, the AMD card’s FP32 throughput of 16.03 TFLOPS is lower than the NVIDIA’s 26.73 TFLOPS, but the AMD card compensates with a higher pixel rate of 200.4 GPixel/s compared to 139.2 GPixel/s on the NVIDIA.

FAQ

Q: Which card is faster in Geekbench OpenCL?

A: The NVIDIA RTX 4000 Ada Generation is faster, scoring 146,593 versus the AMD Radeon Pro W6800X’s 124,498, a 15.1% delta in NVIDIA’s favor.

Q: Does the AMD card have more memory?

A: Yes, the W6800X features 32 GB of GDDR6, while the RTX 4000 Ada has 20 GB. The AMD card also has higher memory bandwidth at 512.0 GB/s versus 360.0 GB/s.

Q: What is the difference in power consumption?

A: The AMD card has a 200 W TDP and suggests a 550 W PSU, while the NVIDIA card has a 130 W TDP and suggests a 300 W PSU.

Q: Are these cards compatible with the same systems?

A: No. The AMD card uses an Apple MPX bus interface and is quad-slot, designed for Mac Pro systems. The NVIDIA card uses PCIe 4.0 x16 and is single-slot, fitting standard PC workstations.

Q: Which card has better overall benchmark percentile?

A: The AMD Radeon Pro W6800X ranks in the 97th percentile of all GPUs, while the NVIDIA RTX 4000 Ada ranks in the 95th percentile.

Q: What is the transistor density difference?

A: The NVIDIA card has a much higher density at 121.8M transistors per mm², compared to the AMD card’s 51.5M per mm², despite the AMD card having a larger die size.

Head-to-Head Benchmarks

The sole direct comparison in the data is Geekbench OpenCL, and it is a lopsided contest. The NVIDIA RTX 4000 Ada Generation posted 146,593 points, while the AMD Radeon Pro W6800X managed 124,498. That 15.1% deficit for AMD is substantial and indicates that in OpenCL-accelerated tasks—which are common in many professional rendering and simulation pipelines—the NVIDIA card will deliver noticeably faster results. This is a single-test comparison, but it aligns with the raw FP32 compute advantage the NVIDIA card holds: 26.73 TFLOPS versus 16.03 TFLOPS.

Outside of that direct test, the broader benchmark scores from the FACT PACK show the AMD card’s average benchmark score at 160,671, which is higher than the NVIDIA card’s 135,218. However, the AMD card’s nearest rivals include the NVIDIA A100 PCIe 40 GB at 162,504 (only 1.1% higher) and the AMD Radeon PRO W7800 at 164,894 (2.6% higher). The NVIDIA RTX 4000 Ada’s nearest rivals are much closer in performance, with the NVIDIA A10M at 135,230 (0% delta) and the AMD Radeon PRO W6800 at 135,396 (0.1% lower). This suggests the AMD card sits in a higher absolute performance tier, but the NVIDIA card competes in a different, more efficient segment.

Specification Differences

The core specifications diverge sharply between these two. The AMD W6800X uses a 7 nm process, while the NVIDIA RTX 4000 Ada uses a 5 nm process, both from TSMC. The AMD chip, Navi 21, has 26,800 million transistors on a 520 mm² die, resulting in a density of 51.5M per mm². The NVIDIA chip, AD104, packs 35,800 million transistors into a much smaller 294 mm² die, achieving 121.8M per mm² density.

Memory configuration is another major split. The AMD card offers 32 GB of GDDR6 on a 256-bit bus with 512.0 GB/s bandwidth. The NVIDIA card provides 20 GB of GDDR6 on a 160-bit bus with 360.0 GB/s bandwidth. Clock speeds also differ: the AMD card has a base clock of 1800 MHz and boost of 2087 MHz, while the NVIDIA card has a lower base of 1500 MHz but a higher boost of 2175 MHz.

The compute units are arranged differently too. The AMD card has 3840 shading units, 240 TMUs, and 96 ROPs, plus 60 ray tracing cores. The NVIDIA card has 6144 shading units, 192 TMUs, and 64 ROPs, with 48 ray tracing cores and 192 tensor cores. The NVIDIA card’s FP16 performance is 26.73 TFLOPS at a 1:1 ratio, while the AMD card achieves 32.06 TFLOPS FP16 at a 2:1 ratio.

Architecture Differences

The architectural gap is generational. The AMD Radeon Pro W6800X is based on RDNA 2.0, a design that prioritizes high clock speeds and efficient rasterization. It is part of the Radeon Pro Mac (Navi II Series) generation, which explains its Apple MPX bus interface and quad-slot form factor. The AMD card is end-of-life, having been released in August 2021, and it lacks tensor cores entirely, relying on dedicated ray tracing hardware.

The NVIDIA RTX 4000 Ada Generation is built on Ada Lovelace, a newer architecture that introduces a 1:1 FP16/FP32 ratio, meaning it does not double FP16 throughput like the AMD card. This architecture also includes 192 tensor cores, which are absent on the AMD side, making the NVIDIA card better suited for AI and deep learning workloads. The NVIDIA card is part of the Workstation Ada (x000A) generation, launched in August 2023, and remains active in production. It is the successor to the Workstation Ampere line and has a successor in Blackwell PRO W.

The process node difference is significant: 7 nm for AMD versus 5 nm for NVIDIA, which explains the NVIDIA card’s higher transistor density and lower power draw despite having more shading units. The NVIDIA card’s 130 W TDP is 35% lower than the AMD card’s 200 W, and it requires a single 16-pin power connector versus the AMD’s Apple MPX connection.

The Verdict

Pick the NVIDIA RTX 4000 Ada Generation if you need raw compute performance in OpenCL workloads, as it delivers a 15.1% higher score in the direct comparison. Its 26.73 TFLOPS FP32 performance, 192 tensor cores, and 1:1 FP16 ratio make it the superior choice for simulation, AI inference, and tasks that leverage NVIDIA’s tensor hardware. The single-slot, 130 W design with a PCIe 4.0 x16 interface is also far easier to integrate into standard PC workstations, and it is an active product with a clear upgrade path.

Pick the AMD Radeon Pro W6800X if your priority is memory capacity and bandwidth. The 32 GB frame buffer and 512.0 GB/s bandwidth are critical for massive datasets or high-resolution textures that would exceed the NVIDIA card’s 20 GB and 360.0 GB/s. The AMD card’s higher pixel rate of 200.4 GPixel/s may also benefit certain rasterization-heavy tasks, and its 97th percentile ranking shows it sits alongside much more expensive competitors like the NVIDIA A100 PCIe 40 GB. However, this card is end-of-life, quad-slot, and locked to Apple MPX systems, so it only makes sense for Mac Pro owners who cannot switch platforms. For everyone else, the RTX 4000 Ada Generation is the more practical and faster choice in the benchmark that matters.