AMD Radeon PRO W6600 vs NVIDIA RTX 4000 SFF Ada Generation Comparison

# NVIDIA RTX 4000 SFF Ada Generation vs AMD Radeon PRO W6600

The NVIDIA RTX 4000 SFF Ada Generation and AMD Radeon PRO W6600 represent two very different approaches to professional workstation graphics. The data shows a decisive performance gap: NVIDIA's card delivers an average benchmark score of 117,088 against AMD's 81,995, placing the former in the 95th percentile of all GPUs and the latter in the 92nd. The RTX 4000 SFF Ada wins both head-to-head tests by wide margins, yet the W6600 remains a relevant option for specific use cases, particularly where its higher pixel fill rate and single-slot form factor matter more than raw compute throughput.

The Verdict

From the benchmark data, the NVIDIA RTX 4000 SFF Ada Generation is the clear performance leader. It beats the AMD Radeon PRO W6600 by 69.8% in Geekbench OpenCL (124,812 vs 73,514) and by 39.4% in Geekbench Vulkan (109,364 vs 78,428). Its average score of 117,088 sits 42.8% above the W6600's 81,995, and it ranks in the 95th percentile versus the W6600's 92nd. For professionals prioritizing compute-heavy workloads—rendering, simulation, or AI-assisted tasks—the NVIDIA card is the obvious choice, provided the system can accommodate its dual-slot footprint and 70 W power draw.

The AMD Radeon PRO W6600 is the pick for those who need a single-slot card with a higher pixel rate. It delivers 165.1 GPixel/s compared to NVIDIA's 99.84 GPixel/s, a 65% advantage in pixel throughput that benefits certain rasterization-heavy applications. It also draws 100 W (30 W more than NVIDIA) and requires a 6-pin power connector, but its single-slot design fits in denser chassis. However, its end-of-life production status and lower compute scores make it a harder sell for future-proofing. The data suggests: choose NVIDIA for raw performance and longevity, choose AMD for pixel-pushing workloads in space-constrained systems.

Architecture Differences

The two cards are built on fundamentally different architectures and process nodes. NVIDIA uses the AD104 chip with Ada Lovelace architecture, fabricated on a 5 nm process at TSMC. The die measures 294 mm² and packs 35,800 million transistors, yielding a density of 121.8 million transistors per mm². AMD counters with the Navi 23 chip on RDNA 2.0 architecture, built on TSMC's 7 nm process. Its die is 237 mm² with 11,060 million transistors, giving a density of 46.7 million per mm²—less than half of NVIDIA's density.

The compute resources differ dramatically. NVIDIA fields 6,144 shading units, 192 texture mapping units, and 64 ROPs, alongside 48 RT cores and 192 tensor cores. AMD offers 1,792 shading units, 112 TMUs, and 64 ROPs, with 28 RT cores but no tensor cores. This explains the FP32 gap: NVIDIA delivers 19.17 TFLOPS versus AMD's 9.247 TFLOPS—a 107% advantage. In FP16, NVIDIA matches its FP32 at 19.17 TFLOPS (1:1 ratio), while AMD reaches 18.49 TFLOPS (2:1 ratio), nearly closing the gap in half-precision tasks.

Memory configurations also diverge. NVIDIA provides 20 GB of GDDR6 on a 160-bit bus, delivering 280.0 GB/s of bandwidth. AMD offers 8 GB of GDDR6 on a 128-bit bus, yielding 224.0 GB/s. The NVIDIA card has 2.5 times the memory capacity and 25% more bandwidth, which materially impacts large dataset workloads. Clock speeds tell a different story: AMD's base clock of 2331 MHz and boost of 2580 MHz far exceed NVIDIA's 720 MHz base and 1560 MHz boost, yet NVIDIA's wider architecture more than compensates in throughput.

Both cards support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Display outputs are similar—four ports each—but NVIDIA uses mini-DisplayPort 1.4a while AMD uses full-size DisplayPort 1.4a. NVIDIA connects via PCIe 4.0 x16, AMD via PCIe 4.0 x8. NVIDIA's card is 168 mm long (6.6 inches) and 69 mm tall (2.7 inches), while AMD's is 241 mm (9.5 inches) long. NVIDIA draws 70 W with no power connector needed and suggests a 250 W PSU; AMD draws 100 W requiring one 6-pin connector and suggests a 300 W PSU.

Head-to-Head Benchmarks

The Geekbench OpenCL test shows the starkest gap. NVIDIA scores 124,812 against AMD's 73,514, a 69.8% difference. This test stresses raw compute throughput, where NVIDIA's 19.17 TFLOPS FP32 and 192 tensor cores provide overwhelming advantages. The Vulkan test narrows the gap but still favors NVIDIA decisively: 109,364 versus 78,428, a 39.4% delta. Vulkan's lower-level API likely allows AMD's higher clock speeds (2580 MHz boost) to partially compensate for its smaller compute footprint, but not enough to threaten NVIDIA's lead.

Looking at nearest rivals for context, NVIDIA's average score of 117,088 sits just 0.3% below the NVIDIA GB10 (117,393) and 1.6% below the AMD Radeon PRO W7700 (118,976). It beats the Tesla V100 SXM2 16 GB (114,395) by 2.4% and the RTX A5500 Mobile (113,944) by 2.8%. AMD's 81,995 average is 1.3% above the Radeon Pro Vega 64X (80,959), 2.7% above the GeForce RTX 5090 (79,842), 3.0% above the Tesla P100 PCIe 16 GB (79,605), and 3.3% above the Tesla P100 PCIe 12 GB (79,396). These deltas show AMD's card competing in a lower performance tier, while NVIDIA punches near the top of its class.

The wins tally confirms the sweep: NVIDIA wins 2 head-to-head benchmarks, AMD wins 0. Yet the pixel rate comparison—165.1 GPixel/s vs 99.84 GPixel/s—points to AMD's one clear strength in this matchup, even if no benchmark in the data directly measures it.

FAQ

Q: Which card has higher raw compute performance?

A: NVIDIA dominates. It delivers 19.17 TFLOPS FP32 versus AMD's 9.247 TFLOPS, more than double. In FP16, NVIDIA sustains 19.17 TFLOPS (1:1), while AMD reaches 18.49 TFLOPS (2:1). The Geekbench OpenCL score reflects this: 124,812 for NVIDIA versus 73,514 for AMD, a 69.8% advantage.

Q: How do the memory configurations compare?

A: NVIDIA offers 20 GB of GDDR6 on a 160-bit bus with 280.0 GB/s bandwidth. AMD provides 8 GB of GDDR6 on a 128-bit bus with 224.0 GB/s. NVIDIA has 2.5 times more capacity and 25% more bandwidth, which is significant for large models or textures.

Q: Which card is more power-efficient?

A: The data shows NVIDIA draws 70 W with no power connector required and suggests a 250 W PSU. AMD draws 100 W, needs one 6-pin connector, and suggests a 300 W PSU. Despite using 30 W less, NVIDIA delivers far higher compute scores, indicating superior efficiency.

Q: What are the physical size differences?

A: NVIDIA is 168 mm long (6.6 inches) and 69 mm tall (2.7 inches), occupying a dual-slot width. AMD is 241 mm long (9.5 inches) but only single-slot. AMD is longer but thinner, while NVIDIA is shorter but thicker—a trade-off for chassis compatibility.

Q: Which card supports ray tracing hardware?

A: Both include RT cores: NVIDIA has 48, AMD has 28. NVIDIA also adds 192 tensor cores, which AMD lacks entirely. Tensor cores accelerate AI workloads, giving NVIDIA a feature advantage beyond raw rendering.

Q: What is the production status of each card?

A: NVIDIA's RTX 4000 SFF Ada Generation is listed as Active, released on 2023-03-20. AMD's Radeon PRO W6600 is End-of-life, released on 2021-06-07. The NVIDIA card is newer and still in production, while AMD's has been discontinued.

Where Each One Wins

The NVIDIA RTX 4000 SFF Ada Generation wins in every benchmark recorded in the data, but its advantages cluster around specific workload types. The 69.8% OpenCL lead indicates strong performance in compute-heavy tasks like scientific simulation, rendering, and data processing. Its 20 GB memory capacity and 280.0 GB/s bandwidth suit large datasets that exceed 8 GB, a common bottleneck in professional workflows. The 192 tensor cores provide dedicated hardware for AI inference and training, a capability AMD lacks entirely. Its 70 W power draw and no-connector design enable installation in systems with limited power delivery, while the compact 168 mm length fits in smaller chassis despite the dual-slot width. The active production status and 2023 release date suggest ongoing driver support and availability.

The AMD Radeon PRO W6600 wins in specific niche areas. Its 165.1 GPixel/s pixel rate is 65% higher than NVIDIA's 99.84 GPixel/s, making it superior for fill-rate-bound workloads such as high-resolution 2D compositing or certain visualization tasks. The single-slot design at 241 mm length fits in dense multi-GPU configurations where dual-slot cards won't fit. Its 2580 MHz boost clock is substantially higher than NVIDIA's 1560 MHz, which may benefit lightly-threaded or latency-sensitive applications. The 2:1 FP16 ratio (18.49 TFLOPS) nearly matches NVIDIA's FP16 throughput, making it competitive in half-precision compute when tensor cores aren't involved. Its launch MSRP was 649 USD, though pricing discussions are outside this analysis. For users with existing Radeon Pro infrastructure or those prioritizing pixel throughput and slot efficiency, the W6600 remains viable despite its end-of-life status.

The benchmark data is unambiguous about overall performance: NVIDIA wins both recorded tests and has a 42.8% higher average score. But the W6600's pixel rate advantage and single-slot form factor carve out a legitimate, if narrow, use case. Professionals should weigh the 69.8% OpenCL and 39.4% Vulkan deltas against the 65% pixel rate advantage. For most compute-oriented workflows, the RTX 4000 SFF Ada Generation is the superior choice; for pixel-bound, space-constrained deployments, the W6600's unique combination of traits may justify its selection.