NVIDIA GeForce RTX 5080 SUPER vs NVIDIA RTX 4000 Mobile Ada Generation Comparison

FAQ

Q: What is the performance difference between the NVIDIA GeForce RTX 5080 SUPER and the NVIDIA RTX 4000 Mobile Ada Generation?

A: The RTX 5080 SUPER records a 3DMark Steel Nomad DX12 score of 3075, while the RTX 4000 Mobile Ada Generation has no recorded benchmark scores in the database, making a direct quantitative comparison impossible.

Q: How does the RTX 5080 SUPER rank among all GPUs in the database?

A: The RTX 5080 SUPER sits at the 19th percentile across all GPUs, which places it below the NVIDIA Quadro P1000 (average score 3163, 2.8% higher) and Intel Arc Pro B60 (average score 3182, 3.4% higher), but above the NVIDIA GeForce 820A (average score 2983, 3.1% lower) and NVIDIA GeForce GTX 860M (average score 2967, 3.6% lower).

Q: What are the architectural generations of these two GPUs?

A: The RTX 5080 SUPER uses the Blackwell 2.0 architecture on the GB203 chip, while the RTX 4000 Mobile Ada Generation uses the Ada Lovelace architecture on the AD104 chip. Both are manufactured on a 5 nm process by TSMC.

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

A: The RTX 5080 SUPER has 24 GB of GDDR7 memory on a 256-bit bus with 1.02 TB/s bandwidth, whereas the RTX 4000 Mobile Ada Generation has 12 GB of GDDR6 memory on a 192-bit bus with 432.0 GB/s bandwidth.

Q: Do both GPUs support the same graphics APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the power draw difference?

A: The RTX 5080 SUPER has a TDP of 415 W and uses a 1x 16-pin power connector, while the RTX 4000 Mobile Ada Generation has a TDP of 110 W and requires no power connectors.

Architecture Differences

The two GPUs represent distinct architectural generations from NVIDIA. The RTX 5080 SUPER is built on Blackwell 2.0 using the GB203 chip, while the RTX 4000 Mobile Ada Generation uses Ada Lovelace on the AD104 die. Both are fabricated on a 5 nm process at TSMC, but the transistor counts differ substantially: the GB203 packs 45,600 million transistors across a 378 mm² die, resulting in a transistor density of 120.6M per mm². The AD104 contains 35,800 million transistors on a smaller 294 mm² die, yielding a slightly higher density of 121.8M per mm². This density difference is minimal, suggesting similar design efficiency, but the larger GB203 die provides significantly more silicon area for compute resources.

The compute pipeline shows the generational gap. The RTX 5080 SUPER carries 10,752 shading units, 336 texture mapping units, 112 ROPs, 84 RT cores, and 336 tensor cores. The RTX 4000 Mobile Ada Generation has 7,424 shading units, 232 TMUs, 80 ROPs, 58 RT cores, and 232 tensor cores. In every category, the desktop Blackwell part has between 44% and 50% more processing elements. The FP32 throughput reflects this: 56.28 TFLOPS for the RTX 5080 SUPER versus 24.72 TFLOPS for the mobile Ada card, with both maintaining a 1:1 FP16 ratio.

Clock speeds also differ sharply. The RTX 5080 SUPER operates at a 2295 MHz base clock and boosts to 2617 MHz. The RTX 4000 Mobile Ada Generation runs at a 1290 MHz base with a 1665 MHz boost. This 630 MHz base clock gap and 952 MHz boost clock gap compound the shading unit advantage, meaning the desktop card does not merely have more cores but also runs them considerably faster. Pixel fill rate tells the story: 293.1 GPixel/s versus 133.2 GPixel/s. Texture fill rate follows at 879.3 GTexel/s versus 386.3 GTexel/s.

The memory subsystem also belongs to different generations. The RTX 5080 SUPER uses GDDR7 at 2000 MHz with 32 Gbps effective speed, while the RTX 4000 Mobile Ada Generation uses GDDR6 at 2250 MHz with 18 Gbps effective speed. Despite the mobile card's higher raw memory clock, the desktop card's wider 256-bit bus delivers 1.02 TB/s of bandwidth versus 432.0 GB/s. The bus interface differs as well: PCIe 5.0 x16 for the RTX 5080 SUPER, PCIe 4.0 x16 for the mobile part.

Where Each One Wins

The RTX 5080 SUPER wins on raw compute, memory capacity, bandwidth, and every measured throughput metric. Its 24 GB GDDR7 frame buffer with 1.02 TB/s bandwidth supports high-resolution textures and large datasets that would not fit in the 12 GB GDDR6 memory of the mobile card. The desktop card's 56.28 TFLOPS FP32 performance and 84 RT cores position it for demanding ray-traced workloads and compute-heavy tasks. The 415 W TDP and dual-slot form factor indicate a desktop-oriented design that can sustain high clock speeds under load.

The RTX 4000 Mobile Ada Generation wins on power efficiency and physical footprint. Its 110 W TDP is roughly one-quarter of the desktop part's power draw, and it requires no power connectors, fitting into an IGP (integrated graphics processor) form factor. This makes it suitable for portable workstations where battery life and thermal constraints matter. The mobile card's 12 GB GDDR6 memory and 432.0 GB/s bandwidth are sufficient for many professional workloads, and its Ada Lovelace architecture still delivers capable RT and tensor performance within a constrained power envelope.

The data shows a clear split: the RTX 5080 SUPER is designed for maximum performance in a stationary desktop chassis, while the RTX 4000 Mobile Ada Generation is built for mobility with a more modest but still substantial feature set. The mobile card's 50th percentile ranking versus the desktop card's 19th percentile ranking across all GPUs suggests the mobile part is more typical of the broader GPU landscape, whereas the RTX 5080 SUPER falls into a lower percentile band even though it scores higher than several rivals.

Specification Differences

| Specification | NVIDIA GeForce RTX 5080 SUPER | NVIDIA RTX 4000 Mobile Ada Generation |

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

| Architecture | Blackwell 2.0 | Ada Lovelace |

| Chip | GB203 | AD104 |

| Process Node | 5 nm | 5 nm |

| Transistors | 45,600 million | 35,800 million |

| Die Size | 378 mm² | 294 mm² |

| Base Clock | 2295 MHz | 1290 MHz |

| Boost Clock | 2617 MHz | 1665 MHz |

| Memory Size | 24 GB | 12 GB |

| Memory Type | GDDR7 | GDDR6 |

| Memory Bus Width | 256 bit | 192 bit |

| Memory Bandwidth | 1.02 TB/s | 432.0 GB/s |

| Shading Units | 10752 | 7424 |

| TMUs | 336 | 232 |

| ROPs | 112 | 80 |

| RT Cores | 84 | 58 |

| Tensor Cores | 336 | 232 |

| Pixel Rate | 293.1 GPixel/s | 133.2 GPixel/s |

| Texture Rate | 879.3 GTexel/s | 386.3 GTexel/s |

| FP32 Performance | 56.28 TFLOPS | 24.72 TFLOPS |

| TDP | 415 W | 110 W |

| Slot Width | Dual-slot | IGP |

| Power Connectors | 1x 16-pin | None |

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

| Display Outputs | 1x HDMI 2.1b, 3x DisplayPort 2.1b | Portable Device Dependent |

| Release Date | 2025-12-31 | 2023-03-20 |

| Launch MSRP | 999 USD | None |

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark entries for these two GPUs. The RTX 5080 SUPER has a single recorded benchmark: 3DMark Steel Nomad DX12 with a score of 3075. The RTX 4000 Mobile Ada Generation has no benchmark scores recorded at all, so a direct comparison using identical tests is not possible from the available data.

The RTX 5080 SUPER's benchmark score can be placed in context through its nearest rivals. The NVIDIA Quadro P1000 achieves an average score of 3163, which is 2.8% higher than the RTX 5080 SUPER. The Intel Arc Pro B60 scores 3182, 3.4% higher. On the other side, the NVIDIA GeForce 820A scores 2983 (3.1% lower), and the NVIDIA GeForce GTX 860M scores 2967 (3.6% lower). This places the RTX 5080 SUPER in a narrow band of GPUs with similar 3DMark Steel Nomad performance, despite the massive architectural differences between these entries.

The lack of benchmark data for the RTX 4000 Mobile Ada Generation means its performance relative to the RTX 5080 SUPER must be inferred from the specification differences. The desktop card has 2.28 times the FP32 throughput, 2.36 times the pixel fill rate, and 2.36 times the bandwidth of the mobile card. These ratios suggest a substantial performance gap in compute-heavy workloads, but the exact magnitude cannot be quantified without recorded scores.

The Verdict

The data presents a clear but incomplete picture. The RTX 5080 SUPER is a high-power desktop GPU with a 415 W TDP, dual-slot cooling, and a 999 USD launch MSRP. Its 24 GB GDDR7 memory and 1.02 TB/s bandwidth make it suitable for memory-intensive applications, and its 56.28 TFLOPS FP32 performance places it well above the mobile part in raw compute capability. Its 19th percentile ranking among all GPUs, however, indicates that many other GPUs in the database achieve higher performance in the 3DMark Steel Nomad test.

The RTX 4000 Mobile Ada Generation is a power-efficient mobile GPU with a 110 W TDP and no power connectors. Its 12 GB GDDR6 memory and 432.0 GB/s bandwidth are modest by comparison, and its 24.72 TFLOPS FP32 performance is less than half the desktop card's. Its 50th percentile ranking reflects a lack of recorded benchmark data rather than measured performance, so its actual position in the database remains undetermined.

For users who require maximum compute throughput, memory bandwidth, and frame buffer capacity in a desktop workstation, the RTX 5080 SUPER is the only option with recorded data to support those claims. For users who need GPU acceleration in a portable device with minimal power draw, the RTX 4000 Mobile Ada Generation fits that role, though its performance advantages cannot be verified from benchmark scores. The two GPUs serve different form factors and power envelopes, and the recorded data supports the desktop card as the higher-performance part in terms of specifications, while the mobile card's efficiency profile is evident from its power requirements.