AMD Radeon Pro Duo vs NVIDIA T1000 8 GB Comparison

The AMD Radeon Pro Duo and NVIDIA T1000 8 GB are two workstation-class graphics cards from different eras, built on fundamentally different architectures and targeting distinct use cases. The Radeon Pro Duo is a dual-GPU monster from 2016, designed for maximum compute throughput, while the T1000 is a low-profile, power-efficient Turing-based card from 2021 aimed at professional visualization and multi-display setups. The data reveals a near-tie in average benchmark scores, but the cards achieve that parity through wildly different means, making the choice heavily dependent on workload and physical constraints.

FAQ

Q: How do the two cards compare in raw compute performance?

A: The Radeon Pro Duo holds a massive lead in raw FP32 throughput, delivering 8.192 TFLOPS versus the T1000's 2.500 TFLOPS. This 3.3x advantage is the core of the Pro Duo's compute-oriented design.

Q: Which card has more memory and bandwidth?

A: The T1000 has double the capacity at 8 GB, but the Pro Duo has vastly superior bandwidth. The Pro Duo's 4 GB of HBM on a 4096-bit bus provides 512.0 GB/s, more than three times the T1000's 160.0 GB/s from its 128-bit GDDR6 interface.

Q: Are these cards comparable in overall benchmark performance?

A: Yes, surprisingly so. The Pro Duo's OpenCL score is 35860, while the T1000's Vulkan score is 34561. Their percentile rankings are nearly identical at 80 and 79, respectively, indicating they sit at the same tier in the overall GPU landscape.

Q: What are the major architectural differences?

A: The Pro Duo uses AMD's older GCN 3.0 architecture on a 28 nm process, while the T1000 uses NVIDIA's Turing architecture on a 12 nm process. This leads to different feature sets, with the T1000 supporting DirectX 12_1 and Vulkan 1.4, versus the Pro Duo's DirectX 12_0 and Vulkan 1.2.170.

Q: How do their power and physical requirements differ?

A: The Radeon Pro Duo is a power-hungry dual-slot card with a 350 W TDP and requires three 8-pin power connectors and a 750 W power supply. In contrast, the T1000 is a single-slot card with a 50 W TDP, needs no power connectors, and only suggests a 250 W PSU.

Q: Which card is better for multi-display professional setups?

A: The T1000 is the clear winner here, offering four mini-DisplayPort 1.4a outputs for multi-monitor configurations. The Pro Duo provides one HDMI 1.4a and three DisplayPort 1.2 outputs, which is a less flexible arrangement for modern high-resolution displays.

Where Each One Wins

The Radeon Pro Duo is the undisputed champion in raw compute-intensive tasks. Its 8.192 TFLOPS FP32 performance and 512.0 GB/s memory bandwidth make it far superior for workloads that hammer the GPU's arithmetic units, such as scientific simulations, complex 3D rendering, and heavy data processing. The 4096 shading units and 256 TMUs provide an enormous parallel processing capacity that the T1000 simply cannot match. In the Geekbench OpenCL test, the Pro Duo scores 35860, which places it 1% ahead of the NVIDIA Quadro GV100, a much newer and more expensive card.

The NVIDIA T1000 8 GB wins in every category related to efficiency, physical footprint, and modern feature support. With a 50 W TDP, it draws a fraction of the Pro Duo's 350 W, making it ideal for dense workstation environments where heat and power are at a premium. Its single-slot, 156 mm length design allows for installations in compact chassis or alongside multiple other cards. The 8 GB memory capacity is twice that of the Pro Duo, which is crucial for large datasets or high-resolution textures that exceed 4 GB. Furthermore, its support for DirectX 12_1 and Vulkan 1.4 makes it more future-proof for professional applications that leverage these modern APIs. In the Geekbench Vulkan test, the T1000 scores 34561, placing it 0.6% ahead of the NVIDIA TITAN V, showcasing its strong API efficiency.

Architecture Differences

The Radeon Pro Duo is built on AMD's Graphics Core Next (GCN) 3.0 architecture, codenamed "Capsaicin". This architecture, manufactured on a 28 nm process at TSMC, was designed for high-throughput compute, featuring massive arrays of shading units. The chip contains 8,900 million transistors on a 596 mm² die, which is a large, power-hungry design. Its GCN roots mean it was optimized for raw FP32 and FP16 compute at a 1:1 ratio, making it a formidable compute accelerator for its time.

The NVIDIA T1000 is a product of the Turing architecture, built on a newer 12 nm process at TSMC. Turing introduced significant improvements in geometry processing and power efficiency. The TU117 chip is much smaller, containing 4,700 million transistors on a 200 mm² die. This smaller, denser chip (23.5M / mm² vs 14.9M / mm²) allows for a much lower TDP. While it has far fewer shading units (896 vs 4096), it supports newer API features like DirectX 12_1 and Vulkan 1.4, which the older GCN architecture lacks. The T1000 also has a 2:1 FP16 ratio, meaning its FP16 performance of 5.000 TFLOPS is double its FP32 rate, a feature useful in AI inference workloads that the older GCN architecture doesn't offer in the same way.

Specification Differences

The specification sheets reveal stark contrasts in almost every major category. The Radeon Pro Duo is a high-performance, high-consumption device, while the T1000 is a model of efficiency.

• Process Node: The Pro Duo uses a 28 nm process, while the T1000 uses a more advanced 12 nm process.
• Memory: The Pro Duo has 4 GB of HBM on a 4096-bit bus, while the T1000 has 8 GB of GDDR6 on a 128-bit bus.
• Memory Bandwidth: The Pro Duo achieves 512.0 GB/s, versus the T1000's 160.0 GB/s.
• Shading Units: The Pro Duo has 4096, whereas the T1000 has 896.
• TMUs: The Pro Duo has 256, versus the T1000's 56.
• ROPs: The Pro Duo has 64, doubling the T1000's 32.
• FP32 Performance: The Pro Duo offers 8.192 TFLOPS, compared to the T1000's 2.500 TFLOPS.
• FP16 Performance: The Pro Duo offers 8.192 TFLOPS (1:1), while the T1000 offers 5.000 TFLOPS (2:1).
• TDP: The Pro Duo consumes 350 W, while the T1000 requires only 50 W.
• Power Connectors: The Pro Duo needs 3x 8-pin, while the T1000 needs none.
• Suggested PSU: The Pro Duo recommends a 750 W unit, versus 250 W for the T1000.
• Slot Width: The Pro Duo is dual-slot, while the T1000 is single-slot.
• Dimensions: The Pro Duo is 277 mm long and 111 mm tall, while the T1000 is a compact 156 mm long and 69 mm tall.
• Display Outputs: The Pro Duo has 1x HDMI 1.4a and 3x DisplayPort 1.2, while the T1000 has 4x mini-DisplayPort 1.4a.
• API Support: The Pro Duo supports DirectX 12 (12_0) and Vulkan 1.2.170, while the T1000 supports DirectX 12 (12_1) and Vulkan 1.4.

Head-to-Head Benchmarks

The head-to-head benchmark data is limited, but the available scores from their respective benchmark suites paint a clear picture of their strengths. The Radeon Pro Duo's score comes from the Geekbench OpenCL test, while the T1000's comes from the Geekbench Vulkan test.

In the OpenCL test, the Radeon Pro Duo scores 35860. This puts it 1.2% ahead of the NVIDIA T1000, which has an average score of 36289 in that same test. This indicates that in compute-heavy OpenCL workloads, the Pro Duo is the stronger card, leveraging its massive parallel architecture. The data also shows the Pro Duo is 1% ahead of the NVIDIA Quadro GV100, a professional card with a much higher price point, proving its enduring compute prowess.

However, the NVIDIA T1000 counters in the Vulkan API. Its Geekbench Vulkan score is 34561. While this is slightly lower than the Pro Duo's OpenCL number, it is still a strong result. More importantly, the T1000's relative position in its own benchmark is impressive. It sits 0.6% ahead of the NVIDIA TITAN V and 1% ahead of the NVIDIA RTX A1000, suggesting that in Vulkan-based applications, the T1000 is very well optimized and punches above its weight class. The fact that the Pro Duo lacks a Vulkan benchmark score and the T1000 lacks an OpenCL score highlights their different primary software ecosystems; the older GCN architecture is a compute workhorse, while the newer Turing GPU excels in modern, low-level graphics APIs. The win counts remain at zero for both, as the benchmark tests are not directly comparable, but the data clearly shows each card's domain of dominance.