AMD Radeon Pro Duo vs NVIDIA TITAN RTX Comparison

AMD Radeon Pro Duo and NVIDIA TITAN RTX represent two very different answers to the question of what a high-end GPU should be. The Radeon Pro Duo, built on GCN 3.0 and released in April 2016, was AMD’s dual-GPU professional monster, packing two Fiji-class dies onto one board. The TITAN RTX, arriving in December 2018, is a single-die Turing behemoth aimed at AI researchers and power users. The database records only one direct head-to-head benchmark between them, but that single data point tells a dramatic story. It is a story of generational leap, of architectural philosophy, and of how raw compute capability can dwarf even the most ambitious multi-chip designs.

Head-to-Head Benchmarks

The only direct comparison recorded in the database is the Geekbench OpenCL test. Here, the results are not close. The AMD Radeon Pro Duo scores 35,860 points. The NVIDIA TITAN RTX scores 144,858 points. That is a delta of negative 75.2% for the AMD card, meaning the TITAN RTX is roughly four times faster in this workload. To put it another way, the TITAN RTX delivers an OpenCL score that is 108,998 points higher than the Radeon Pro Duo. This is not a marginal victory; it is a complete rout.

What makes this gap so striking is the hardware behind each card. The Radeon Pro Duo has 4,096 shading units, 256 texture mapping units, and 64 render output units. Its FP32 compute is rated at 8.192 TFLOPS. The TITAN RTX counters with 4,608 shading units, 288 TMUs, and 96 ROPs, while its FP32 rating is 16.31 TFLOPS, exactly double the AMD card’s figure. The TITAN RTX also brings 576 tensor cores and 72 RT cores to the table, hardware that simply does not exist on the Radeon Pro Duo. Even in raw shading throughput, the NVIDIA card holds a 2x advantage, and the OpenCL benchmark reflects that gap faithfully.

Memory configuration further widens the divide. The Radeon Pro Duo has 4 GB of HBM per GPU (the card is dual-GPU, so the total is 8 GB across the board) with a 4096-bit bus per GPU and 512.0 GB/s of bandwidth per GPU. The TITAN RTX has 24 GB of GDDR6 on a 384-bit bus, delivering 672.0 GB/s of bandwidth. In OpenCL workloads that stress memory capacity and bandwidth, the TITAN RTX has nearly a third more bandwidth and six times the memory capacity. The benchmark result of 144,858 versus 35,860 makes sense when viewed through this lens.

It is also worth examining where the Radeon Pro Duo sits relative to its own peers. Its nearest rival in the database is the NVIDIA T1000, which scores 36,289 points and beats the Radeon Pro Duo by 1.2%. The AMD Radeon RX 5300M is 1.8% ahead with 36,529 points. On the other side, the NVIDIA Quadro GV100 trails by 1% at 35,520 points, and the GeForce RTX 5070 Ti Mobile is 1.2% behind at 35,435 points. This cluster of scores, all within roughly 2% of each other, tells us that the Radeon Pro Duo’s OpenCL performance is firmly in the mid-range tier by modern standards, despite being a flagship product at its launch.

The TITAN RTX, by contrast, sits in a different league entirely. Its nearest rivals in the database are the NVIDIA RTX PRO 4500 Blackwell at 31,532 points (0.5% behind), the Intel Arc Pro A30M at 31,894 points (0.7% ahead), the NVIDIA GRID M60-1Q at 31,220 points (1.5% behind), and the NVIDIA Quadro M5000 at 31,206 points (1.5% behind). Notice that the TITAN RTX’s average benchmark score across all recorded tests is 31,676, but its OpenCL score alone is 144,858. The average is dragged down by other tests like PassMark DirectX 9 (223 points), PassMark DirectX 10 (147 points), and PassMark DirectX 12 (88 points). These older DirectX tests likely do not exercise the TITAN RTX’s strengths, while OpenCL clearly does.

The Radeon Pro Duo’s average benchmark score is 35,860, identical to its OpenCL score because that is its only recorded benchmark. Its percentile ranking among all GPUs is 80, versus the TITAN RTX’s 76. This is a curious inversion: the Radeon Pro Duo ranks higher in percentile despite being far slower in the head-to-head test. The explanation lies in the distribution of scores. The TITAN RTX has a wider spread of benchmark results, including very low scores in legacy DirectX tests, which pull its average down and lower its percentile. The Radeon Pro Duo, with only one strong OpenCL result, benefits from a narrower profile.

The Verdict

The data points to a clear winner for anyone prioritizing raw compute throughput. The NVIDIA TITAN RTX dominates the only directly comparable workload, delivering an OpenCL score 75.2% higher than the AMD Radeon Pro Duo’s. That is not a subtle edge; it is a generational chasm. The TITAN RTX’s 16.31 TFLOPS FP32 throughput, 576 tensor cores, and 24 GB of memory make it the obvious choice for machine learning, scientific computing, and any workload that leverages OpenCL or CUDA-accelerated libraries.

The AMD Radeon Pro Duo, despite its dual-GPU design, cannot match the single-die efficiency of Turing. Its 8.192 TFLOPS FP32 rating is exactly half of the TITAN RTX’s. Its 4 GB HBM per GPU, while fast for 2016, is a severe limitation compared to 24 GB of GDDR6. The Radeon Pro Duo’s percentile rank of 80 versus the TITAN RTX’s 76 might tempt some to argue the AMD card is more competitive, but that percentile is based on a single benchmark. The head-to-head result, 35,860 versus 144,858, is the more reliable indicator.

Who should pick the Radeon Pro Duo? Strictly from the data, very few users. It wins zero of the recorded head-to-head benchmarks. Its only advantage is its percentile ranking, which is a statistical artifact of having just one benchmark in the database. The card is end-of-life, released in April 2016, and its successor, the Radeon Pro Polaris, has already come and gone. The TITAN RTX is also end-of-life, but its release in December 2018 makes it a much younger design with architectural features like RT cores and tensor cores that the Radeon Pro Duo lacks entirely.

For users who need maximum OpenCL compute, the TITAN RTX is the only rational choice. For users who need DirectX 12 Ultimate support, the TITAN RTX again wins, supporting version 12_2 versus the Radeon Pro Duo’s 12_0. For users who need Vulkan, the TITAN RTX supports version 1.4, while the Radeon Pro Duo is limited to 1.2.170. Every measurable metric favors the NVIDIA card.

FAQ

Q: Which GPU has the higher OpenCL benchmark score?

A: The NVIDIA TITAN RTX scores 144,858 on Geekbench OpenCL, while the AMD Radeon Pro Duo scores 35,860. The TITAN RTX leads by 75.2%.

Q: How does the memory capacity compare?

A: The TITAN RTX has 24 GB of GDDR6 memory, while the Radeon Pro Duo has 4 GB of HBM per GPU. The TITAN RTX’s memory bus is 384-bit with 672.0 GB/s bandwidth; the Radeon Pro Duo’s is 4096-bit per GPU with 512.0 GB/s per GPU.

Q: Which card has more shading units?

A: The TITAN RTX has 4,608 shading units, compared to 4,096 on the Radeon Pro Duo. The TITAN RTX also has 288 TMUs and 96 ROPs, versus 256 TMUs and 64 ROPs on the AMD card.

Q: What is the FP32 compute difference?

A: The TITAN RTX is rated at 16.31 TFLOPS FP32, exactly double the Radeon Pro Duo’s 8.192 TFLOPS. The TITAN RTX also supports FP16 at 32.62 TFLOPS (2:1 ratio), while the Radeon Pro Duo’s FP16 is 8.192 TFLOPS (1:1).

Q: Does the Radeon Pro Duo have any hardware features that the TITAN RTX lacks?

A: No. The TITAN RTX has 72 RT cores and 576 tensor cores, which the Radeon Pro Duo does not have. The Radeon Pro Duo’s only unique trait is its dual-GPU design from the GCN 3.0 era.

Q: Which card ranks higher in the database’s overall GPU percentile?

A: The Radeon Pro Duo ranks at the 80th percentile versus the TITAN RTX’s 76th. However, this is based on the Radeon Pro Duo’s single benchmark score of 35,860, while the TITAN RTX’s percentile reflects an average of 31,676 across multiple tests.

Specification Differences

The two cards differ in nearly every specification category. The Radeon Pro Duo is built on a 28 nm process at TSMC, with 8,900 million transistors on a 596 mm² die, yielding a transistor density of 14.9M per mm². The TITAN RTX uses a 12 nm process at TSMC, with 18,600 million transistors on a 754 mm² die, for a density of 24.7M per mm². The TITAN RTX has more than double the transistor count and a 65.8% larger die.

Clock speeds also differ. The Radeon Pro Duo lists no base or boost clock in the database, only a memory clock of 500 MHz (1000 Mbps effective). The TITAN RTX has a base clock of 1350 MHz and a boost clock of 1770 MHz, with memory at 1750 MHz (14 Gbps effective). The TITAN RTX’s pixel rate is 169.9 GPixel/s versus 64.00 GPixel/s for the Radeon Pro Duo, and its texture rate is 509.8 GTexel/s versus 256.0 GTexel/s.

Power requirements differ as well. The Radeon Pro Duo has a 350 W TDP, requires 3x 8-pin power connectors, and suggests a 750 W PSU. The TITAN RTX has a 280 W TDP, needs 2x 8-pin connectors, and suggests a 600 W PSU. Despite being far more powerful, the TITAN RTX consumes less power, evidence of the efficiency gains of the 12 nm Turing architecture over 28 nm GCN.

Physical dimensions are similar but not identical. The Radeon Pro Duo is 277 mm long and 111 mm tall. The TITAN RTX is 267 mm long, 116 mm tall, and 35 mm wide. Both are dual-slot cards. Display outputs differ: the Radeon Pro Duo has 1x HDMI 1.4a and 3x DisplayPort 1.2, while the TITAN RTX has 1x HDMI 2.0, 3x DisplayPort 1.4a, and 1x USB Type-C.

API support also diverges. The Radeon Pro Duo supports DirectX 12 (12_0), OpenGL 4.6, and Vulkan 1.2.170. The TITAN RTX supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The TITAN RTX’s DirectX 12 Ultimate support includes features like ray tracing and mesh shaders, enabled by its RT and tensor cores. The Radeon Pro Duo, lacking such hardware, is limited to the older DirectX 12 feature level.

Architecture Differences

The architectural gap between these two GPUs is fundamental. The Radeon Pro Duo uses AMD’s GCN 3.0 architecture, codenamed Capsaicin, and is part of the Radeon Pro GCN generation. It is a dual-GPU card, meaning it has two dies working together, each with 4,096 shading units, 256 TMUs, and 64 ROPs. The total across both dies would be 8,192 shading units, 512 TMUs, and 128 ROPs, but the database records the per-die figures. The card’s predecessor is the FirePro GCN, and its successor is the Radeon Pro Polaris.

The TITAN RTX uses NVIDIA’s Turing architecture, with the TU102 chip. It is a single-die design, part of the GeForce 20 generation. The TU102 die contains 18,600 million transistors, making it one of the largest consumer GPUs ever produced. Its predecessor is GeForce 10, and its successor is GeForce 30.

The most significant architectural difference is the presence of specialized hardware on the TITAN RTX. It has 72 RT cores dedicated to ray tracing and 576 tensor cores for AI and deep learning workloads. The Radeon Pro Duo has neither. This means the TITAN RTX can accelerate workloads that the Radeon Pro Duo cannot even attempt, such as real-time ray tracing and tensor-based neural network inference.

Memory architecture also differs. The Radeon Pro Duo uses HBM (High Bandwidth Memory) with a 4096-bit bus per GPU, which was modern in 2016. The TITAN RTX uses GDDR6 on a 384-bit bus. The TITAN RTX’s bandwidth of 672.0 GB/s is higher than the Radeon Pro Duo’s 512.0 GB/s per GPU, and its 24 GB capacity dwarfs the 4 GB per GPU on the AMD card.

The FP16 capabilities highlight another architectural split. The Radeon Pro Duo’s FP16 is 8.192 TFLOPS, identical to its FP32, a 1:1 ratio typical of GCN. The TITAN RTX’s FP16 is 32.62 TFLOPS, exactly double its FP32, a 2:1 ratio enabled by Turing’s dedicated FP16 paths. This makes the TITAN RTX far more efficient at mixed-precision workloads common in AI training.

Transistor density further illustrates the generational leap. The Radeon Pro Duo packs 14.9M transistors per mm² on 28 nm. The TITAN RTX achieves 24.7M per mm² on 12 nm, a 65.8% improvement in density. Combined with a larger die, the TITAN RTX crams over twice as many transistors into a card that consumes 70 W less power.

Where Each One Wins

The NVIDIA TITAN RTX wins in every recorded benchmark category. The head-to-head OpenCL test is a 75.2% victory. The TITAN RTX also wins on raw specifications: double the FP32 throughput (16.31 versus 8.192 TFLOPS), quadruple the FP16 throughput (32.62 versus 8.192 TFLOPS), six times the memory capacity (24 GB versus 4 GB per GPU), and higher bandwidth (672.0 GB/s versus 512.0 GB/s per GPU). It has 72 RT cores and 576 tensor cores, enabling ray tracing and AI acceleration that the Radeon Pro Duo cannot offer. It also supports DirectX 12 Ultimate and Vulkan 1.4, versus the Radeon Pro Duo’s DirectX 12_0 and Vulkan 1.2.170.

The Radeon Pro Duo’s only recorded advantage is its percentile ranking of 80 versus the TITAN RTX’s 76. This is a statistical quirk of having a single benchmark score, but it does mean the Radeon Pro Duo sits in a higher percentile among all GPUs in the database. Its 4 GB HBM per GPU offers a 4096-bit bus, which is wider than the TITAN RTX’s 384-bit bus, though the TITAN RTX compensates with higher effective bandwidth. The Radeon Pro Duo also has a lower launch MSRP of 1,499 USD versus the TITAN RTX’s 2,499 USD, though both cards are end-of-life and no longer in production.

For use cases, the TITAN RTX is the clear pick for machine learning, scientific computing, 3D rendering, and any workload that can leverage tensor cores, RT cores, or large memory pools. Its 24 GB of GDDR6 is essential for large models and datasets. The Radeon Pro Duo, with its dual-GPU GCN 3.0 design, might appeal to users running legacy OpenCL workloads that scale across multiple dies, but even there, the TITAN RTX’s single-die OpenCL score of 144,858 versus the Radeon Pro Duo’s 35,860 suggests the AMD card would struggle.

In summary, the data shows a decisive generational victory for the NVIDIA TITAN RTX. The Radeon Pro Duo was a formidable card for its time, but the TITAN RTX redefined what a single GPU could achieve. The head-to-head benchmark, the specification sheet, and the architectural analysis all point in the same direction: the TITAN RTX is the superior card by every measurable metric in the database.