AMD Radeon RX Vega 64 vs NVIDIA GeForce RTX 5090 Comparison
AMD Radeon RX Vega 64
GeForce RTX 5090
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon RX Vega 64 vs NVIDIA GeForce RTX 5090
Head-to-Head Benchmarks
The benchmark data is unambiguous: the NVIDIA GeForce RTX 5090 dominates every shared test with a magnitude of victory that is difficult to overstate. In the 3DMark Steel Nomad DX12 test, the RTX 5090 scores 18,355 against the RX Vega 64's 1,669, a delta of 999.8%. That is an order-of-magnitude gap, not a generational step. The RX Vega 64's own nearest rival in the database, the Radeon RX 6900 XT, sits at 50,951 average score, which is merely 1.9% above the Vega 64; the RTX 5090 is effectively in a different performance universe.
In Geekbench OpenCL, the RTX 5090 records 334,370 points versus 62,552 for the Vega 64, a delta of 434.5%. The gap narrows slightly in Geekbench Vulkan, where the RTX 5090 posts 376,728 against 67,032, a delta of 462%. Across the three head-to-head tests, the RTX 5090 wins all three, and the average score difference is consistent: the newer card is roughly 4.3 to 10 times faster depending on the workload. The RTX 5090's average benchmark score across its entire suite is 79,842, while the Vega 64's is 50,001, a 59.7% overall advantage. The percentile rankings reinforce this: the RTX 5090 sits in the 92nd percentile of all GPUs, while the Vega 64 is in the 86th.
The biggest single win for the RTX 5090 is in 3DMark Steel Nomad, where the 999.8% delta indicates a card that is not just faster but categorically newer. The Vega 64's best showing relative to the RTX 5090 is in Geekbench OpenCL, yet even there it trails by more than a factor of five. The data shows no single test where the Vega 64 closes the gap to within even 50% of the RTX 5090's score. This is a one-sided comparison, and the verdict is straightforward from the numbers alone.
Architecture Differences
The architectural divide between these two cards is vast, spanning a decade of design philosophy. The RTX 5090 uses the GB202 chip built on TSMC's 5 nm process, while the Vega 64 uses the Vega 10 chip on GlobalFoundries' 14 nm node. The transistor counts tell the story: the RTX 5090 packs 92,200 million transistors on a 750 mm² die, yielding a density of 122.9 million transistors per square millimeter. The Vega 64 has 12,500 million transistors on a 495 mm² die, a density of just 25.3 million per square millimeter. That is a 4.9x density advantage for the RTX 5090, and it shows in every measurable metric.
The memory subsystems are fundamentally different. The RTX 5090 features 32 GB of GDDR7 on a 512-bit bus, delivering 1.79 TB/s of bandwidth. The Vega 64 uses 8 GB of HBM2 on a 2048-bit bus, which sounds wider but yields only 483.8 GB/s. The RTX 5090's bandwidth advantage is 3.7x, and its memory capacity is 4x larger. The Vega 64's HBM2 was exotic for its time, but the newer GDDR7 implementation on a narrower bus is dramatically faster.
Core counts follow the same pattern. The RTX 5090 has 21,760 shading units, 680 texture mapping units, and 176 ROPs. The Vega 64 has 4,096 shading units, 256 TMUs, and 64 ROPs. The RTX 5090 also adds 170 RT cores and 680 tensor cores, while the Vega 64 has none, as it predates hardware ray tracing and tensor acceleration. Pixel rate is 423.6 GPixel/s versus 98.94 GPixel/s, and texture rate is 1,636.8 GTexel/s versus 395.8 GTexel/s. FP32 compute is 104.8 TFLOPS versus 12.66 TFLOPS, an 8.3x gap. FP16 is interesting: the RTX 5090 does 104.8 TFLOPS at a 1:1 ratio, while the Vega 64 does 25.33 TFLOPS at a 2:1 ratio, meaning the RTX 5090's FP16 is both faster and more efficient in how it uses the hardware.
Process node and foundry also matter for power and thermals. The RTX 5090 is rated at 575 W TDP with a 950 W suggested PSU and a single 16-pin connector. The Vega 64 is 295 W TDP with a 600 W suggested PSU and two 8-pin connectors. The RTX 5090 consumes more power but delivers vastly more performance per watt. The Vega 64's 14 nm process is the older node, and the data reflects that: it cannot match the transistor density or clock speeds. The RTX 5090 boosts to 2407 MHz versus the Vega 64's 1546 MHz, and its base clock is 2017 MHz versus 1247 MHz.
The API support also differs. The RTX 5090 supports DirectX 12 Ultimate (12_2) and Vulkan 1.4, while the Vega 64 supports DirectX 12 (12_1) and Vulkan 1.3. Both support OpenGL 4.6. The bus interface is PCIe 5.0 x16 on the RTX 5090 versus PCIe 3.0 x16 on the Vega 64, which matters for data transfer in CPU-bound scenarios. Display outputs differ as well: the RTX 5090 has 1x HDMI 2.1b and 3x DisplayPort 2.1b, while the Vega 64 has 1x HDMI 2.0b and 3x DisplayPort 1.4a.
FAQ
Q: How much faster is the RTX 5090 than the RX Vega 64 in gaming workloads?
A: In the 3DMark Steel Nomad DX12 test, the RTX 5090 scores 18,355 versus 1,669 for the Vega 64, a delta of 999.8%. This indicates roughly an order-of-magnitude improvement in raw gaming performance.
Q: Which card has more memory bandwidth?
A: The RTX 5090 has 1.79 TB/s of bandwidth from 32 GB of GDDR7 on a 512-bit bus. The Vega 64 has 483.8 GB/s from 8 GB of HBM2 on a 2048-bit bus. The RTX 5090 delivers 3.7x more bandwidth.
Q: Does the RX Vega 64 support hardware ray tracing?
A: No. The Vega 64 has no RT cores and no tensor cores. The RTX 5090 includes 170 RT cores and 680 tensor cores, enabling hardware-accelerated ray tracing and AI workloads.
Q: What is the average benchmark score difference between the two cards?
A: The RTX 5090 has an average benchmark score of 79,842 across its suite, while the Vega 64 averages 50,001. That is a 59.7% overall advantage for the RTX 5090.
Q: Which card is more power-hungry?
A: The RTX 5090 is rated at 575 W TDP with a 950 W suggested PSU. The Vega 64 is rated at 295 W TDP with a 600 W suggested PSU. The RTX 5090 consumes more power but provides substantially higher performance.
Q: What are the process nodes for each card?
A: The RTX 5090 uses TSMC's 5 nm process, while the Vega 64 uses GlobalFoundries' 14 nm process. The RTX 5090 achieves a transistor density of 122.9 million per square millimeter versus 25.3 million for the Vega 64.
Specification Differences
| Specification | NVIDIA GeForce RTX 5090 | AMD Radeon RX Vega 64 |
|---|---|---|
| Chip | GB202 | Vega 10 |
| Architecture | Blackwell 2.0 | GCN 5.0 |
| Process node | 5 nm | 14 nm |
| Foundry | TSMC | GlobalFoundries |
| Transistors | 92,200 million | 12,500 million |
| Die size | 750 mm² | 495 mm² |
| Transistor density | 122.9M / mm² | 25.3M / mm² |
| Base clock | 2017 MHz | 1247 MHz |
| Boost clock | 2407 MHz | 1546 MHz |
| Memory clock | 1750 MHz (28 Gbps effective) | 945 MHz (1890 Mbps effective) |
| Memory size | 32 GB | 8 GB |
| Memory type | GDDR7 | HBM2 |
| Memory bus width | 512 bit | 2048 bit |
| Memory bandwidth | 1.79 TB/s | 483.8 GB/s |
| Shading units | 21760 | 4096 |
| TMUs | 680 | 256 |
| ROPs | 176 | 64 |
| RT cores | 170 | null |
| Tensor cores | 680 | null |
| Pixel rate | 423.6 GPixel/s | 98.94 GPixel/s |
| Texture rate | 1,636.8 GTexel/s | 395.8 GTexel/s |
| FP32 | 104.8 TFLOPS | 12.66 TFLOPS |
| FP16 | 104.8 TFLOPS (1:1) | 25.33 TFLOPS (2:1) |
| TDP | 575 W | 295 W |
| Power connectors | 1x 16-pin | 2x 8-pin |
| Suggested PSU | 950 W | 600 W |
| Bus interface | PCIe 5.0 x16 | PCIe 3.0 x16 |
| Display outputs | 1x HDMI 2.1b, 3x DisplayPort 2.1b | 1x HDMI 2.0b, 3x DisplayPort 1.4a |
| DirectX | 12 Ultimate (12_2) | 12 (12_1) |
| Vulkan | 1.4 | 1.3 |
| Length | 304 mm | 280 mm |
| Height | 137 mm | 111 mm |
| Width | 40 mm | 40 mm |
| Production status | Active | End-of-life |
| Launch MSRP | 1,999 USD | 499 USD |
The Verdict
The data supports only one conclusion: the RTX 5090 is the superior card in every measurable way. It wins all three head-to-head benchmarks with deltas ranging from 434.5% to 999.8%. Its average benchmark score is 79,842 versus 50,001, and it sits in the 92nd percentile of all GPUs compared to the Vega 64's 86th. The RTX 5090 has 8.3x the FP32 compute, 3.7x the memory bandwidth, 4x the memory capacity, and a 4.9x transistor density advantage.
The Vega 64's only advantages are in power consumption (295 W versus 575 W) and physical dimensions (it is 24 mm shorter and 26 mm lower). It also has a lower launch MSRP, 499 USD versus 1,999 USD, but the performance gap is so large that no price-based argument can bridge it. The Vega 64 is end-of-life, while the RTX 5090 is active and has a successor planned.
For anyone considering these two cards, the RTX 5090 is the clear pick for performance. The Vega 64 is a historical product whose relevance is confined to legacy systems or scenarios where power draw and physical size are the primary constraints. The data does not support any other interpretation.
Where Each One Wins
NVIDIA GeForce RTX 5090 wins in: every benchmark test recorded. The 3DMark Steel Nomad DX12 test shows a 999.8% delta, Geekbench OpenCL shows 434.5%, and Geekbench Vulkan shows 462%. It also wins on memory bandwidth (1.79 TB/s versus 483.8 GB/s), memory capacity (32 GB versus 8 GB), compute throughput (104.8 TFLOPS versus 12.66 TFLOPS in FP32), and feature support (RT cores, tensor cores, DirectX 12 Ultimate, Vulkan 1.4). The RTX 5090 is the choice for high-resolution gaming, ray tracing, AI workloads, and any compute-heavy task that can leverage its 170 RT cores and 680 tensor cores.
AMD Radeon RX Vega 64 wins in: power efficiency in absolute terms, drawing 295 W versus 575 W, and it fits in a shorter and lower physical footprint (280 mm length and 111 mm height versus 304 mm and 137 mm). It also has a lower launch MSRP of 499 USD. For a system with a 600 W PSU or a compact case, the Vega 64 is the only option that fits the constraints. The Vega 64's 2048-bit memory bus is wider on paper, but the HBM2 implementation yields less bandwidth than the RTX 5090's GDDR7, so this is not a practical win.
The use-case split is stark: the RTX 5090 for anyone who needs maximum performance and has the power budget, the Vega 64 for legacy builds where power draw, physical size, or initial cost are the deciding factors. The benchmark data does not suggest any scenario where the Vega 64 outperforms the RTX 5090 in actual workloads.