NVIDIA GeForce RTX 5090 D V2 vs NVIDIA T400 4 GB Comparison

The NVIDIA T400 4 GB and the NVIDIA GeForce RTX 5090 D V2 represent two vastly different points in NVIDIA’s lineup, separated by architecture, purpose, and era. The T400 is a low-profile Turing-based workstation card designed for basic display and light compute tasks, while the RTX 5090 D V2 is a massive Blackwell 2.0 flagship aimed at high-end gaming and professional workloads. The benchmark data provided, however, paints a surprising picture of their relative standing in the specific tests recorded, one that warrants a closer look at what each card is actually built to do.

Where Each One Wins

The data shows a clear, if unusual, division of labor. The NVIDIA T400 4 GB secures its wins in the area of general-purpose compute and API-level graphics tests, specifically in Geekbench OpenCL and Vulkan workloads. Its Geekbench OpenCL score of 17,320 and Vulkan score of 16,263 are its only recorded benchmarks, and they place it in the 60th percentile of all GPUs. This suggests that in these particular synthetic tests, the T400 punches above its weight class, delivering results that are competitive with much larger and more power-hungry cards.

In contrast, the NVIDIA GeForce RTX 5090 D V2 does not have a single head-to-head win in the provided data, with `winsB` equal to 0. Its only recorded benchmark is a single 3DMark Steel Nomad DX12 test, where it scores 16,504. This puts it in the 59th percentile of all GPUs, just one percentile point below the T400. The RTX 5090 D V2’s strength lies in its sheer architectural capability—its raw compute power, memory bandwidth, and feature set—which are not captured in the narrow set of benchmarks provided. The data implies that the T400 wins on legacy or cross-API synthetic tests, while the RTX 5090 D V2 is built for a different kind of workload that these particular tests do not measure.

Architecture Differences

The architectural gulf between these two cards is immense. The T400 is built on the Turing architecture using the TU117 chip, fabricated on a 12 nm process at TSMC. It packs 4,700 million transistors onto a 200 mm² die, yielding a transistor density of 23.5M per mm². This is an older, efficiency-focused design with no dedicated ray tracing or tensor cores. The RTX 5090 D V2, on the other hand, uses the Blackwell 2.0 architecture with the GB202 chip, built on a much more advanced 5 nm process at TSMC. It contains 92,200 million transistors on a 750 mm² die, for a density of 122.9M per mm². It includes 170 ray tracing cores and 680 tensor cores, making it a fully featured modern GPU.

The memory subsystems are equally divergent. The T400 uses 4 GB of GDDR6 memory on a 64-bit bus, delivering 80.00 GB/s of bandwidth. The RTX 5090 D V2 uses 24 GB of GDDR7 memory on a 384-bit bus, delivering 1.34 TB/s of bandwidth—a 16.75x increase in raw bandwidth. The T400’s memory runs at 1250 MHz (10 Gbps effective), while the RTX 5090 D V2’s runs at 1750 MHz (28 Gbps effective). Clock speeds also differ dramatically: the T400 has a base clock of 420 MHz and a boost of 1425 MHz, whereas the RTX 5090 D V2 has a base of 2017 MHz and a boost of 2407 MHz. The T400 draws 30 W with no power connectors and a suggested 200 W PSU, while the RTX 5090 D V2 draws 575 W, requires a 16-pin connector, and suggests a 950 W PSU.

Head-to-Head Benchmarks

The head-to-head benchmark list is empty, meaning there are no direct comparative tests run side-by-side. However, the average benchmark scores and nearest rival data provide a basis for indirect comparison. The T400’s average benchmark score is 16,792, while the RTX 5090 D V2’s is 16,504. This gives the T400 a slight edge of 288 points, or about 1.7% higher average score. Interestingly, the nearest rival data for the RTX 5090 D V2 lists the T400 itself as its closest competitor, with an average score of 16,508 against the RTX 5090 D V2’s 16,504, a delta of 0.0%.

Looking at the T400’s rivals, it sits within a tight cluster. It is 0.6% ahead of the AMD Radeon RX 7600S (16,696), 0.8% behind the NVIDIA Tesla M4 (16,932), 1.3% behind the AMD Radeon HD 7970M (17,019), and 1.4% behind the NVIDIA GeForce GTX 690 (17,037). This indicates the T400 is competitive with a range of mid-range and older high-end cards in these synthetic tests. The RTX 5090 D V2, meanwhile, is 0.5% ahead of the AMD Radeon PRO W7500 (16,415), 0.6% ahead of the NVIDIA RTX PRO 6000 Blackwell (16,408), and 0.9% ahead of the AMD Radeon RX 5700 XT (16,361). The fact that a flagship 24 GB card is scoring so close to a 4 GB entry-level card in these averages suggests the benchmark methodology heavily favors the T400’s workload profile.

Specification Differences

The specification sheets reveal stark contrasts across nearly every field. The T400 has 384 shading units, 24 texture mapping units, and 16 ROPs, while the RTX 5090 D V2 has 21,760 shading units, 680 TMUs, and 176 ROPs. The pixel rate is 22.80 GPixel/s for the T400 versus 423.6 GPixel/s for the RTX 5090 D V2, and the texture rate is 34.20 GTexel/s versus 1,636.8 GTexel/s. The FP32 compute is 1,094.4 GFLOPS for the T400, while the RTX 5090 D V2 hits 104.8 TFLOPS. The FP16 rates are 2.189 TFLOPS (2:1) for the T400 and 104.8 TFLOPS (1:1) for the RTX 5090 D V2.

Other key differences include the bus interface: the T400 uses PCIe 3.0 x16, while the RTX 5090 D V2 uses PCIe 5.0 x16. The T400 is a single-slot card with no power connectors and three mini-DisplayPort 1.4a outputs. The RTX 5090 D V2 is a dual-slot card measuring 304 mm in length, 137 mm in height, and 48 mm in width, with one HDMI 2.1b and three DisplayPort 2.1b outputs. The T400 is end-of-life, released in May 2021, while the RTX 5090 D V2 is active, released in August 2025. The RTX 5090 D V2 has a stated launch MSRP of 2,299 USD.

FAQ

Q: Which card has a higher average benchmark score?

A: The NVIDIA T400 4 GB has a higher average benchmark score of 16,792, compared to the NVIDIA GeForce RTX 5090 D V2’s 16,504, a difference of 288 points.

Q: What is the closest rival to the RTX 5090 D V2 according to the data?

A: The closest rival is the NVIDIA T400 itself, with an average score of 16,508 versus the RTX 5090 D V2’s 16,504, resulting in a delta of 0.0%.

Q: How do the memory types differ between the two cards?

A: The T400 uses 4 GB of GDDR6 on a 64-bit bus with 80.00 GB/s bandwidth, while the RTX 5090 D V2 uses 24 GB of GDDR7 on a 384-bit bus with 1.34 TB/s bandwidth.

Q: Does the T400 support ray tracing?

A: No, the T400 has no ray tracing cores listed in its specifications, whereas the RTX 5090 D V2 includes 170 ray tracing cores.

Q: What is the power consumption difference?

A: The T400 has a TDP of 30 W with no power connectors, while the RTX 5090 D V2 has a TDP of 575 W and requires a single 16-pin power connector.

Q: Which card is more recent in its release?

A: The RTX 5090 D V2 is more recent, with a release date of August 2025, while the T400 was released in May 2021 and is now end-of-life.

The Verdict

The data presents a curious case where the older, lower-powered T400 outperforms the flagship RTX 5090 D V2 in the limited set of benchmarks available. If your workload consists of Geekbench OpenCL or Vulkan tasks, the T400’s scores suggest it is a capable option, sitting in the 60th percentile and outperforming its nearest rivals like the AMD Radeon RX 7600S by 0.6%. It is a low-power, single-slot card that can be powered by a 200 W PSU, making it suitable for simple display or compute duties.

The RTX 5090 D V2, despite its lower average score in this dataset, is clearly the more capable hardware on paper. Its 104.8 TFLOPS of FP32 compute, 1.34 TB/s memory bandwidth, and support for DirectX 12 Ultimate, ray tracing, and tensor cores indicate it is designed for demanding modern workloads that are not represented by the single 3DMark Steel Nomad DX12 test recorded. The data does not capture its true potential, and the 0.0% delta to the T400 in the nearest rivals list should be seen as an artifact of the narrow test selection rather than a true performance equivalence. Choose the T400 for lightweight, low-power compute tasks; choose the RTX 5090 D V2 for anything requiring substantial graphics or compute muscle.