NVIDIA GeForce RTX 4090 D vs NVIDIA RTX 5000 Ada Generation Comparison

The NVIDIA RTX 5000 Ada Generation and the NVIDIA GeForce RTX 4090 D are both built on the same AD102 chip and Ada Lovelace architecture, yet they serve fundamentally different purposes. The RTX 5000 Ada is a workstation-focused card with 32 GB of GDDR6 memory, while the RTX 4090 D is a consumer-class GPU with 24 GB of GDDR6X memory and a higher raw compute ceiling. Benchmark data shows the RTX 4090 D leads in the two shared tests, but the RTX 5000 Ada counters with a higher average benchmark score across its tested suite. The choice between them hinges on whether you prioritize raw performance in specific workloads or the stability and memory capacity associated with a professional-grade product.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA RTX 5000 Ada Generation has an average benchmark score of 184,664, which is 5.7% higher than the RTX 4090 D's average of 174,774. This puts the RTX 5000 Ada ahead of the RTX 4090 D in the nearestRivals list, where the RTX 4090 D trails by 5.4% relative to the RTX 5000 Ada.

Q: How does the RTX 4090 D perform in Geekbench OpenCL compared to the RTX 5000 Ada?

A: The RTX 4090 D scores 271,315 in Geekbench OpenCL, which is 35.4% higher than the RTX 5000 Ada's score of 175,286. This is a decisive win for the RTX 4090 D in this particular compute workload.

Q: What is the memory configuration difference between the two cards?

A: The RTX 5000 Ada has 32 GB of GDDR6 memory on a 256-bit bus with 576.0 GB/s bandwidth. The RTX 4090 D has 24 GB of GDDR6X memory on a 384-bit bus with 1.01 TB/s bandwidth, giving the RTX 4090 D significantly higher memory bandwidth despite less total capacity.

Q: What is the power draw and physical size difference?

A: The RTX 5000 Ada has a TDP of 250 W and is a dual-slot card measuring 267 mm in length. The RTX 4090 D has a TDP of 425 W and is a triple-slot card measuring 304 mm in length. The RTX 4090 D also has a suggested PSU of 800 W, compared to 600 W for the RTX 5000 Ada.

Q: Are both GPUs based on the same chip and architecture?

A: Yes, both the RTX 5000 Ada and RTX 4090 D use the AD102 chip, built on the Ada Lovelace architecture, with a 5 nm process node from TSMC. Both also have the same transistor count of 76,300 million and a die size of 609 mm².

Q: Which card has a better standing relative to other GPUs in the database?

A: Both cards are in the 99th percentile against all GPUs, indicating they are top-tier performers. The RTX 5000 Ada's nearest rival is the RTX 4500 Ada Generation with a deltaPct of 0.9%, while the RTX 4090 D's nearest rival is the RTX 4500 Ada Generation with a deltaPct of -4.5%.

Where Each One Wins

The RTX 4090 D wins in raw computational throughput, as shown by its Geekbench OpenCL score of 271,315, which is 35.4% higher than the RTX 5000 Ada's 175,286. It also wins in Geekbench Vulkan with a score of 244,421, a 20.6% advantage over the RTX 5000 Ada's 194,041. The RTX 4090 D also holds a significant edge in texture rate (1,149.1 GTexel/s vs 1,020.0 GTexel/s) and FP32 compute (73.54 TFLOPS vs 65.28 TFLOPS), making it the stronger choice for tasks that are heavily parallel and benefit from raw shader throughput.

The RTX 5000 Ada wins in average benchmark score, posting 184,664 versus the RTX 4090 D's 174,774, a 5.7% advantage. This suggests that across a broader set of workloads, the RTX 5000 Ada delivers more consistent performance. It also offers double the memory capacity (32 GB vs 24 GB), which is critical for large datasets, complex 3D scenes, or AI model training that exceeds the RTX 4090 D's memory limit. The RTX 5000 Ada also has a lower TDP of 250 W versus 425 W, making it far more power-efficient per unit of compute.

Architecture Differences

Both GPUs share the same fundamental architecture: Ada Lovelace on a 5 nm TSMC process, with the AD102 chip, 76,300 million transistors, and a 609 mm² die size. The transistor density is identical at 125.3M / mm². However, the implementation differs significantly. The RTX 5000 Ada has 12,800 shading units, 400 TMUs, 100 RT cores, and 400 tensor cores. The RTX 4090 D has more of each: 14,592 shading units, 456 TMUs, 114 RT cores, and 456 tensor cores. This means the RTX 4090 D has roughly 14% more shading units and RT cores, which directly explains its higher FP32 and texture throughput.

The memory architecture is also a key divergence. The RTX 5000 Ada uses GDDR6 with a 256-bit bus, while the RTX 4090 D uses GDDR6X with a 384-bit bus. This results in the RTX 4090 D having nearly double the memory bandwidth (1.01 TB/s vs 576.0 GB/s), which is a major factor in its Geekbench OpenCL and Vulkan wins, as those workloads often scale with memory bandwidth. The RTX 5000 Ada compensates with a larger 32 GB pool, which is a capacity advantage rather than a speed advantage. Both cards support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API-level features are identical.

Specification Differences

The two cards differ in nearly every measurable specification except the chip, architecture, process node, foundry, transistor count, die size, ROP count (both 176), and bus interface (PCIe 4.0 x16). The RTX 5000 Ada has a base clock of 1155 MHz and boost clock of 2550 MHz, while the RTX 4090 D has a higher base clock of 2280 MHz but a slightly lower boost clock of 2520 MHz. Memory clocks are 2250 MHz (18 Gbps effective) for the RTX 5000 Ada and 1313 MHz (21 Gbps effective) for the RTX 4090 D.

The RTX 5000 Ada has 32 GB of GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth, while the RTX 4090 D has 24 GB of GDDR6X on a 384-bit bus with 1.01 TB/s bandwidth. Shading units are 12,800 vs 14,592, TMUs are 400 vs 456, RT cores are 100 vs 114, and tensor cores are 400 vs 456. Pixel rates are nearly identical (448.8 GPixel/s vs 443.5 GPixel/s), but texture rates differ (1,020.0 GTexel/s vs 1,149.1 GTexel/s). FP32 and FP16 performance are both 65.28 TFLOPS for the RTX 5000 Ada and 73.54 TFLOPS for the RTX 4090 D.

The RTX 5000 Ada has a TDP of 250 W, is dual-slot, and is 267 mm long with a height of 112 mm. The RTX 4090 D has a TDP of 425 W, is triple-slot, and is 304 mm long with a height of 137 mm and a width of 61 mm. Display outputs are 4x DisplayPort 1.4a for the RTX 5000 Ada, while the RTX 4090 D has 1x HDMI 2.1 and 3x DisplayPort 1.4a. The RTX 4090 D has a launch MSRP of 1,599 USD. The RTX 5000 Ada is marked as Active in production, while the RTX 4090 D is End-of-life.

Head-to-Head Benchmarks

The head-to-head data covers two tests, and the RTX 4090 D wins both decisively. In Geekbench OpenCL, the RTX 4090 D scores 271,315 against the RTX 5000 Ada's 175,286, a delta of -35.4% from the RTX 5000 Ada's perspective. This is a massive gap, likely driven by the RTX 4090 D's higher shading unit count (14,592 vs 12,800) and nearly doubled memory bandwidth (1.01 TB/s vs 576.0 GB/s). OpenCL workloads that are bandwidth-bound will favor the RTX 4090 D heavily.

In Geekbench Vulkan, the RTX 4090 D again takes the lead with 244,421 versus 194,041, a 20.6% advantage. This is a smaller but still significant margin. The Vulkan test likely benefits from the RTX 4090 D's higher texture rate (1,149.1 GTexel/s) and FP32 throughput (73.54 TFLOPS), which allow it to process geometry and compute shaders faster. The RTX 5000 Ada's lower clock speeds (base 1155 MHz vs 2280 MHz) also put it at a disadvantage in these latency-sensitive tests.

However, the average benchmark score tells a different story. The RTX 5000 Ada achieves 184,664, which is 5.7% higher than the RTX 4090 D's 174,774. This implies that the RTX 5000 Ada performs better in other benchmark tests not included in the head-to-head section, likely those that favor memory capacity or sustained professional workloads. The RTX 5000 Ada also has a 0.9% advantage over the RTX 4500 Ada Generation, its closest rival, while the RTX 4090 D trails the RTX 4500 Ada by 4.5%. This suggests the RTX 5000 Ada is more consistent across a wider benchmark suite, whereas the RTX 4090 D peaks in specific compute tests.

The Verdict

Choose the NVIDIA RTX 4090 D if your work is dominated by raw compute throughput and memory bandwidth. Its Geekbench OpenCL score is 35.4% higher, and its Vulkan score is 20.6% higher, making it the clear winner for tasks like real-time rendering, physics simulations, or any workload that saturates memory bandwidth. The 73.54 TFLOPS of FP32 performance and 1.01 TB/s bandwidth are unmatched by the RTX 5000 Ada. The 24 GB of GDDR6X memory is sufficient for most consumer and prosumer workloads, and the card's higher base clock of 2280 MHz ensures snappy responsiveness. Be prepared for its 425 W TDP and triple-slot size, which require a larger case and a suggested 800 W PSU.

Choose the NVIDIA RTX 5000 Ada Generation if you need memory capacity, power efficiency, or a broader performance profile. Its 32 GB of GDDR6 memory is double the RTX 4090 D's capacity, which is essential for large datasets, complex 3D scenes, or AI models that exceed 24 GB. The 250 W TDP is nearly half the RTX 4090 D's, making it far easier to cool and integrate into multi-GPU or compact workstation builds. The 5.7% higher average benchmark score indicates it delivers more balanced performance across a wider range of applications, even if it loses in the two head-to-head tests. Its dual-slot design and 267 mm length also fit into more chassis options. The RTX 5000 Ada is the safer pick for professional environments where reliability and memory headroom matter more than peak compute.