NVIDIA GeForce RTX 4090 vs NVIDIA GeForce RTX 5080 Comparison

The NVIDIA GeForce RTX 4090 and RTX 5080 represent two distinct generations of NVIDIA's flagship and upper-tier offerings, with the former built on Ada Lovelace and the latter on Blackwell 2.0. The benchmark data reveals a fascinating dynamic: the older, larger RTX 4090 holds a commanding lead in most raw performance tests, while the newer RTX 5080 counters with specific wins in newer API workloads and 2D performance, suggesting a generational shift in priorities rather than a simple linear upgrade.

Head-to-Head Benchmarks

The RTX 4090 wins 8 of the 10 head-to-head tests, and its margins are decisive where they matter most. The largest gap appears in Passmark GPU Compute, where the RTX 4090 scores 26,613 against the RTX 5080's 21,789, a 22.1% advantage. This is the single biggest deltaPct in the entire comparison, indicating that the 4090's raw compute throughput is substantially higher — a direct consequence of its larger silicon and higher shading unit count. In the modern 3DMark Steel Nomad DX12 test, the 4090 posts 9,223 versus 8,637, a 6.8% lead, confirming that even in a DirectX 12 Ultimate workload, the older card retains a meaningful edge.

The 4090 also wins decisively in Geekbench OpenCL (255,416 vs 235,901, +8.3%) and Vulkan (271,631 vs 255,450, +6.3%). These are synthetic but representative of compute-heavy and cross-API rendering tasks. In legacy DirectX 10, the 4090 leads 224 to 208 (+7.7%), and in DirectX 9, 397 to 389 (+2.1%), showing that its advantage persists even in older API paths. The Passmark G3D score, a broad gaming proxy, favors the 4090 at 38,194 versus 36,565, a 4.5% gap. Even the tightest 3D win — DirectX 11 at 326 vs 324 (+0.6%) — goes to the 4090, albeit by a hair.

The RTX 5080's two wins are narrow but revealing. In Passmark DirectX 12, it scores 151 versus 150, a -0.7% delta (meaning the 5080 wins by 0.7%). This is a near-tie, but it signals that the newer architecture handles the latest DirectX 12 feature set at least as efficiently as the larger 4090. The more significant victory is in Passmark G2D, where the 5080 posts 1,415 against the 4090's 1,299, an 8.2% margin. This 2D performance lead is the only test where the 5080 wins by a double-digit percentage, suggesting Blackwell 2.0 has made substantial strides in display output and 2D composition paths, likely tied to its newer display controllers and PCIe 5.0 interface.

Architecture Differences

The two GPUs diverge sharply in physical design, which explains much of the benchmark behavior. The RTX 4090 uses the AD102 chip on a 609 mm² die with 76,300 million transistors, yielding a density of 125.3M / mm². The RTX 5080's GB203 is far smaller at 378 mm² with 45,600 million transistors, at a slightly lower density of 120.6M / mm². Both are fabbed on a 5 nm process at TSMC, so the density difference reflects architectural choices rather than process maturity.

The 4090 packs 16,384 shading units, 512 TMUs, and 176 ROPs, alongside 128 RT cores and 512 tensor cores. The 5080 counters with 10,752 shading units, 336 TMUs, and 112 ROPs, with 84 RT cores and 336 tensor cores. This is a 34% reduction in shading units, which directly explains the 4090's compute advantage — it simply has more silicon devoted to parallel math. The 4090's FP32 throughput is 82.58 TFLOPS versus the 5080's 56.28 TFLOPS, a 47% gap that shows up in the 22.1% compute benchmark lead.

Memory configurations also differ fundamentally. The 4090 uses 24 GB of GDDR6X on a 384-bit bus, delivering 1.01 TB/s bandwidth. The 5080 has 16 GB of GDDR7 on a 256-bit bus, at 960.0 GB/s. The newer GDDR7 is faster per pin (30 Gbps effective versus 21 Gbps effective), but the narrower bus means the 4090 still has higher total bandwidth — 5.2% more. The 5080's clock speeds are slightly higher (2,617 MHz boost vs 2,520 MHz), but this cannot compensate for the 4090's wider memory path and larger core count.

The 5080 does bring forward-looking features: it uses PCIe 5.0 x16 versus the 4090's PCIe 4.0 x16, and its display outputs are newer (HDMI 2.1b and DisplayPort 2.1b versus HDMI 2.1 and DisplayPort 1.4a). The 5080 is also a dual-slot card at 40 mm width, versus the 4090's triple-slot 61 mm width, and has a lower TDP of 360 W versus 450 W. The 5080's power connector is the same 1x 16-pin, but its suggested PSU is 750 W versus 850 W. These differences point to the 5080 being a more power-efficient and physically manageable design, even if it cannot match the 4090's raw output.

FAQ

Q: Does the RTX 4090 outperform the RTX 5080 in all 3D benchmarks?

A: No. The 4090 wins most 3D tests, including 3DMark Steel Nomad DX12 (9,223 vs 8,637, +6.8%) and Passmark G3D (38,194 vs 36,565, +4.5%), but the 5080 wins Passmark DirectX 12 (151 vs 150, -0.7%). The 5080 also leads in Passmark G2D (1,415 vs 1,299, -8.2%).

Q: Which card has more memory bandwidth?

A: The RTX 4090. It has 1.01 TB/s from 24 GB of GDDR6X on a 384-bit bus. The RTX 5080 has 960.0 GB/s from 16 GB of GDDR7 on a 256-bit bus. Despite slower per-pin GDDR7 speed (30 Gbps effective vs 21 Gbps effective), the 4090's wider bus gives it 5.2% more total bandwidth.

Q: Is the RTX 5080 more power-efficient?

A: Yes, based on the data. The 5080 has a TDP of 360 W versus the 4090's 450 W, and its suggested PSU is 750 W versus 850 W. Despite lower raw performance, it achieves competitive scores in some tests with 20% less TDP.

Q: What explains the RTX 4090's large compute lead?

A: The 4090 has 16,384 shading units and 512 tensor cores, versus 10,752 shading units and 336 tensor cores on the 5080. Its FP32 output is 82.58 TFLOPS versus 56.28 TFLOPS. This 47% theoretical compute advantage manifests in the 22.1% Passmark GPU Compute win (26,613 vs 21,789).

Q: Does the RTX 5080 have any architectural advantages?

A: Yes. It uses PCIe 5.0 x16 versus PCIe 4.0 x16, and supports DisplayPort 2.1b versus DisplayPort 1.4a. It is built on Blackwell 2.0 architecture versus Ada Lovelace, and uses newer GDDR7 memory. Its dual-slot design (40 mm width) is significantly thinner than the 4090's triple-slot (61 mm).

Q: How do their average benchmark scores compare?

A: The RTX 4090 has an average benchmark score of 60,347, while the RTX 5080 averages 56,083. The 4090 sits at the 88th percentile of all GPUs, versus the 5080's 87th percentile. This 7.6% average score gap closely tracks the 4090's wins in most individual tests.

The Verdict

The data is unambiguous: the RTX 4090 is the faster card in nearly every measurable dimension. It wins 8 of 10 head-to-head tests, including the modern 3DMark Steel Nomad DX12 (6.8% ahead), Geekbench OpenCL (8.3% ahead), and Passmark GPU Compute (22.1% ahead). Its average benchmark score of 60,347 versus 56,083 (7.6% higher) and its higher percentile rank (88th vs 87th) confirm this. For any workload prioritizing raw compute, 3D rendering, or legacy API compatibility, the 4090 is the clear choice.

The RTX 5080's arguments are narrower but real. It wins in Passmark G2D by 8.2%, suggesting superior 2D and display path performance, and edges out the 4090 in Passmark DirectX 12 by 0.7%. It achieves this with a 360 W TDP versus 450 W, a dual-slot cooler versus triple-slot, and a smaller die (378 mm² vs 609 mm²). The 5080 also brings newer connectivity: PCIe 5.0 and DisplayPort 2.1b. For a user prioritizing power efficiency, physical footprint, or the latest display standards, the 5080 is the more modern package.

The verdict depends on what one values. If the priority is maximum performance per benchmark score, the 4090 wins outright. If the priority is architectural modernity, efficiency, and a smaller physical footprint, the 5080 offers a compelling alternative despite its lower absolute scores.

Specification Differences

| Specification | RTX 4090 | RTX 5080 |

|---|---|---|

| Architecture | Ada Lovelace | Blackwell 2.0 |

| Chip | AD102 | GB203 |

| Transistors | 76,300 million | 45,600 million |

| Die Size | 609 mm² | 378 mm² |

| Transistor Density | 125.3M / mm² | 120.6M / mm² |

| Base Clock | 2235 MHz | 2295 MHz |

| Boost Clock | 2520 MHz | 2617 MHz |

| Memory Size | 24 GB | 16 GB |

| Memory Type | GDDR6X | GDDR7 |

| Memory Bus | 384 bit | 256 bit |

| Memory Bandwidth | 1.01 TB/s | 960.0 GB/s |

| Memory Clock | 1313 MHz (21 Gbps effective) | 1875 MHz (30 Gbps effective) |

| Shading Units | 16384 | 10752 |

| TMUs | 512 | 336 |

| ROPs | 176 | 112 |

| RT Cores | 128 | 84 |

| Tensor Cores | 512 | 336 |

| Pixel Rate | 443.5 GPixel/s | 293.1 GPixel/s |

| Texture Rate | 1,290.2 GTexel/s | 879.3 GTexel/s |

| FP32 | 82.58 TFLOPS | 56.28 TFLOPS |

| TDP | 450 W | 360 W |

| Slot Width | Triple-slot | Dual-slot |

| Width | 61 mm (2.4 inches) | 40 mm (1.6 inches) |

| Suggested PSU | 850 W | 750 W |

| Bus Interface | PCIe 4.0 x16 | PCIe 5.0 x16 |

| Display Outputs | 1x HDMI 2.1, 3x DisplayPort 1.4a | 1x HDMI 2.1b, 3x DisplayPort 2.1b |

| Production Status | End-of-life | Active |

| Release Date | 2022-09-19 | 2025-01-29 |

| Launch MSRP | 1,599 USD | 999 USD |

Where Each One Wins

The RTX 4090 wins in compute-heavy and 3D rendering workloads. Its Passmark GPU Compute score of 26,613 versus 21,789 (22.1% ahead) makes it the superior choice for tasks like scientific simulation, machine learning inference, or any compute shader-heavy application. Its 3DMark Steel Nomad DX12 score (9,223 vs 8,637, +6.8%) and Passmark G3D score (38,194 vs 36,565, +4.5%) indicate it is also better for general 3D rendering and gaming at high resolutions. The 4090's large 24 GB memory pool and 1.01 TB/s bandwidth further cement its position for large dataset workloads, though the data does not specify memory-intensive test results.

The RTX 5080 wins in 2D performance and shows a slight edge in the newest DirectX 12 path. Its Passmark G2D score of 1,415 versus 1,299 (8.2% ahead) suggests superior desktop compositing, video playback, and multi-monitor output handling — likely aided by its newer display controllers and PCIe 5.0 interface. The 5080's DirectX 12 win (151 vs 150, +0.7%) is marginal but points to better optimization for the latest API features. Additionally, its 360 W TDP and dual-slot design make it the more practical choice for compact builds or systems with lower power budgets, though these are physical rather than performance advantages.