AMD Radeon Pro W6600M vs NVIDIA GeForce RTX 5090 Comparison

FAQ

Q: Which GPU has the higher average benchmark score, and by how much?

A: The NVIDIA GeForce RTX 5090 has an average benchmark score of 79,842, while the AMD Radeon Pro W6600M has an average score of 61,896. The RTX 5090 sits 29% higher in the database's aggregate measurements.

Q: How does the RTX 5090 compare to its nearest rivals?

A: The RTX 5090 is 0.3% ahead of the NVIDIA Tesla P100 PCIe 16 GB and 0.6% ahead of the Tesla P100 PCIe 12 GB. It also leads the AMD Radeon RX 6850M XT by 1.1%, while the AMD Radeon Pro Vega 64X is 1.4% ahead of it.

Q: What does the Radeon Pro W6600M's rival comparison look like?

A: The W6600M is 0.3% behind the AMD Radeon 8050S, but it leads the NVIDIA GeForce RTX 4090 by 2.6%, the Intel Arc Pro A60 by 2.6%, and the AMD Radeon Pro Vega 48 by 2.9%.

Q: Which GPU wins the head-to-head benchmark tests?

A: The RTX 5090 wins both recorded head-to-head tests. In Geekbench OpenCL, it scored 334,370 versus 56,140 for the W6600M, a 495.6% difference. In Geekbench Vulkan, it scored 376,728 versus 67,652, a 456.9% difference.

Q: What are the memory configurations of these two GPUs?

A: The RTX 5090 features 32 GB of GDDR7 memory on a 512-bit bus with 1.79 TB/s bandwidth. The W6600M has 8 GB of GDDR6 memory on a 128-bit bus with 224.0 GB/s bandwidth.

Q: What is the production status of each GPU?

A: The RTX 5090 is listed as Active, released on 2025-01-29, with a launch MSRP of 1,999 USD. The W6600M is End-of-life, released on 2021-06-07, with no recorded launch MSRP.

Architecture Differences

The architectural gap between these two GPUs is substantial, reflecting different generations and market positions. The RTX 5090 uses the GB202 chip built on NVIDIA's Blackwell 2.0 architecture, fabricated on a 5 nm process at TSMC. The W6600M uses the Navi 23 chip with AMD's RDNA 2.0 architecture, also at TSMC but on a 7 nm node. This process difference alone explains a portion of the performance gap, as the newer node allows for significantly higher transistor density.

The transistor counts tell a stark story. The RTX 5090 contains 92,200 million transistors on a 750 mm² die, yielding a density of 122.9 million transistors per square millimeter. The W6600M packs 11,060 million transistors on a 237 mm² die, with a density of 46.7 million per square millimeter. That is an 8.3x difference in raw transistor count, and a 2.6x difference in density, indicating the Blackwell design is not just larger but also more efficiently packed.

Memory architecture differs fundamentally. The RTX 5090 uses 32 GB of GDDR7 on a 512-bit bus, delivering 1.79 TB/s of bandwidth. The W6600M has 8 GB of GDDR6 on a 128-bit bus, providing 224.0 GB/s. The bandwidth ratio is roughly 8:1, which heavily favors the RTX 5090 in bandwidth-bound workloads such as high-resolution rendering or large dataset processing.

Compute resources scale correspondingly. The RTX 5090 has 21,760 shading units, 680 TMUs, and 176 ROPs. It also features 170 RT cores and 680 tensor cores. The W6600M has 1,792 shading units, 112 TMUs, and 64 ROPs, with 28 RT cores and no tensor cores. The shading unit count is 12.1x higher on the RTX 5090, and the tensor core presence is exclusive to NVIDIA, which matters for AI-accelerated workloads.

Clock speeds differ in an interesting way. The RTX 5090 has a base clock of 2017 MHz and a boost of 2407 MHz. The W6600M has a lower base of 1224 MHz but a boost of 2034 MHz. Despite the lower base, the W6600M's boost is within 15% of the RTX 5090's boost, showing AMD's design is clock-efficient for its node. However, the raw throughput advantage of the RTX 5090's wider architecture overwhelms this.

The FP32 and FP16 compute rates highlight the gap. The RTX 5090 delivers 104.8 TFLOPS FP32 and 104.8 TFLOPS FP16 with a 1:1 ratio. The W6600M delivers 7.290 TFLOPS FP32 and 14.58 TFLOPS FP16 with a 2:1 ratio. The RTX 5090's FP32 output is 14.4x higher, and its FP16 output is 7.2x higher. The W6600M's 2:1 FP16 ratio suggests it can double throughput for half-precision work, but even that doubled figure remains far below the RTX 5090's raw numbers.

Head-to-Head Benchmarks

The database records two direct head-to-head comparisons, both from Geekbench. These are the only benchmarks where both GPUs have matching test scores, so they form the basis for direct comparison.

In Geekbench OpenCL, the RTX 5090 scores 334,370 against the W6600M's 56,140. This is a 495.6% advantage for NVIDIA. The magnitude here is not a small edge but a multiplicative one. The RTX 5090's compute-heavy design, with its tensor cores and massive shading unit count, drives this result. The W6600M's OpenCL score, while respectable for a mobile workstation part, sits at roughly one-sixth of the NVIDIA result.

In Geekbench Vulkan, the RTX 5090 scores 376,728 versus 67,652 for the W6600M. The delta is 456.9%. Interestingly, the RTX 5090 improves its score by 12.7% moving from OpenCL to Vulkan, while the W6600M improves by 20.5%. This suggests the W6600M's RDNA 2.0 architecture has better Vulkan scaling relative to its OpenCL performance, but the absolute gap remains enormous.

These results align with the average benchmark scores in the database. The RTX 5090's average is 79,842, and the W6600M's is 61,896. However, note that the average includes different benchmark sets: the RTX 5090 has ten recorded tests, while the W6600M has only two. The head-to-head tests are the cleanest comparison, and they show a dominant NVIDIA result.

The percentile rankings are closer than the raw scores suggest. The RTX 5090 sits at the 92nd percentile of all GPUs, while the W6600M sits at the 89th. This compression occurs because the percentile metric accounts for the fact that many GPUs cluster in the mid-range, and both of these parts are above most of the field. Still, the RTX 5090's 3-percentile advantage reflects its higher position in the distribution.

The Verdict

The data is unambiguous. The RTX 5090 wins every recorded head-to-head benchmark, and wins them by margins exceeding 450%. Its average benchmark score is 29% higher than the W6600M's, even though the W6600M's rival list includes the RTX 4090, which the W6600M beats by 2.6%. This means the W6600M is competitive with high-end desktop GPUs from a prior generation, but it is not in the same class as the RTX 5090.

Who should pick the RTX 5090? Users who need maximum compute throughput, particularly in OpenCL or Vulkan workloads, and who require 32 GB of memory with 1.79 TB/s bandwidth. The 92nd percentile ranking places it above nearly all other GPUs in the database. The active production status and 2025 release date also indicate current-generation support.

Who should pick the W6600M? Users constrained by power and physical space. The W6600M has a 90 W TDP versus 575 W for the RTX 5090, and it is an IGP form factor with no power connectors, meaning it fits in portable devices. The RTX 5090 is a dual-slot card with a 16-pin connector and requires a 950 W suggested PSU. For mobile workstations where 8 GB of GDDR6 memory is sufficient, the W6600M offers a functional, end-of-life but still capable option.

The verdict from the database is that these are not competing products in the same tier. The RTX 5090 is a flagship desktop compute monster. The W6600M is a mobile workstation part optimized for efficiency. The head-to-head results confirm that any workload that can use the RTX 5090's resources will see a massive advantage, but the W6600M's lower power envelope and portable form factor serve a different set of priorities.

Specification Differences

| Specification | NVIDIA GeForce RTX 5090 | AMD Radeon Pro W6600M |

|----------------|------------------------|------------------------|

| Architecture | Blackwell 2.0 | RDNA 2.0 |

| Process Node | 5 nm | 7 nm |

| Transistors | 92,200 million | 11,060 million |

| Die Size | 750 mm² | 237 mm² |

| Transistor Density | 122.9M / mm² | 46.7M / mm² |

| Base Clock | 2017 MHz | 1224 MHz |

| Boost Clock | 2407 MHz | 2034 MHz |

| Memory Size | 32 GB | 8 GB |

| Memory Type | GDDR7 | GDDR6 |

| Memory Bus | 512 bit | 128 bit |

| Memory Bandwidth | 1.79 TB/s | 224.0 GB/s |

| Shading Units | 21,760 | 1,792 |

| TMUs | 680 | 112 |

| ROPs | 176 | 64 |

| RT Cores | 170 | 28 |

| Tensor Cores | 680 | None |

| Pixel Rate | 423.6 GPixel/s | 130.2 GPixel/s |

| Texture Rate | 1,636.8 GTexel/s | 227.8 GTexel/s |

| FP32 | 104.8 TFLOPS | 7.290 TFLOPS |

| FP16 | 104.8 TFLOPS (1:1) | 14.58 TFLOPS (2:1) |

| TDP | 575 W | 90 W |

| Slot Width | Dual-slot | IGP |

| Power Connectors | 1x 16-pin | None |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x16 |

| Display Outputs | 1x HDMI 2.1b, 3x DisplayPort 2.1b | Portable Device Dependent |

| Production Status | Active | End-of-life |

| Release Date | 2025-01-29 | 2021-06-07 |

Where Each One Wins

The RTX 5090 wins in compute-bound scenarios. Its 104.8 TFLOPS FP32 and identical FP16 throughput mean it handles both precision levels at the same speed, which is rare and useful for mixed-precision workloads. The 680 tensor cores give it a dedicated path for AI inference and training tasks that the W6600M cannot access at all. The 1.79 TB/s memory bandwidth supports large datasets, and the 32 GB capacity allows entire models or scenes to reside in VRAM without swapping.

The RTX 5090 also wins in rendering and pixel throughput. Its 423.6 GPixel/s pixel rate and 1,636.8 GTexel/s texture rate dwarf the W6600M's 130.2 GPixel/s and 227.8 GTexel/s. For 3D rendering, high-resolution textures, or multi-display output, the RTX 5090's advantage is decisive. The 176 ROPs versus 64 ROPs further solidifies this lead in fill-rate-limited scenarios.

The W6600M wins in power efficiency and portability. Its 90 W TDP is 6.4x lower than the RTX 5090's 575 W. The IGP slot width and lack of power connectors mean it can be integrated into laptops or compact systems where a dual-slot 304 mm card is physically impossible. The 7 nm node, while older, still delivers a reasonable 14.58 TFLOPS FP16, which is 2:1 ratio and useful for half-precision compute.

The W6600M also wins in legacy compatibility scenarios. It supports PCIe 4.0 x16, which is sufficient for its bandwidth needs, and its display outputs are portable-device dependent, offering flexibility for OEM designs. The end-of-life status means it is available in existing mobile workstations, and its 8 GB GDDR6 memory is adequate for many professional CAD and visualization tasks.

In summary, the RTX 5090 is the choice for raw performance, memory capacity, and AI capability. The W6600M is the choice for mobile, low-power, and space-constrained environments. The benchmark data shows no scenario where the W6600M beats the RTX 5090 in raw score, but the use-case split is defined by power, size, and deployment context rather than speed alone.