NVIDIA GeForce RTX 4060 Max-Q vs NVIDIA GeForce RTX 5080 SUPER Comparison

FAQ

Q: Which GPU has the higher FP32 compute throughput?

A: The NVIDIA GeForce RTX 5080 SUPER delivers 56.28 TFLOPS of FP32 compute, while the RTX 4060 Max-Q provides 9.032 TFLOPS. The 5080 SUPER is approximately 6.2 times faster in this metric.

Q: What are the memory capacities and types of these two GPUs?

A: The RTX 4060 Max-Q uses 8 GB of GDDR6 memory on a 128-bit bus, yielding 256.0 GB/s of bandwidth. The RTX 5080 SUPER uses 24 GB of GDDR7 memory on a 256-bit bus, yielding 1.02 TB/s of bandwidth.

Q: How do their transistor counts and die sizes compare?

A: The RTX 4060 Max-Q contains 18,900 million transistors on a 159 mm² die, while the RTX 5080 SUPER contains 45,600 million transistors on a 378 mm² die. The 5080 SUPER has roughly 2.4 times the transistor count and a die area about 2.4 times larger.

Q: What is the power draw difference between the two?

A: The RTX 4060 Max-Q has a TDP of 35 W and uses no power connectors, fitting an IGP slot width. The RTX 5080 SUPER has a TDP of 415 W, requires a single 16-pin connector, and occupies a dual-slot form factor.

Q: Which GPU supports newer PCIe and display standards?

A: The RTX 5080 SUPER uses PCIe 5.0 x16 and outputs 1x HDMI 2.1b plus 3x DisplayPort 2.1b. The RTX 4060 Max-Q uses PCIe 4.0 x8 and has display outputs that are portable device dependent.

Q: What is the recorded benchmark score for the RTX 5080 SUPER?

A: In the 3DMark Steel Nomad DX12 test, the RTX 5080 SUPER scored 3075 points. Its nearest rival, the NVIDIA Quadro P1000, scored 3163 points, placing the 5080 SUPER 2.8% behind. The NVIDIA GeForce 820A scored 2983 points, making the 5080 SUPER 3.1% faster.

Architecture Differences

The RTX 4060 Max-Q is built on the Ada Lovelace architecture using the AD107 chip, a 5 nm TSMC design. The RTX 5080 SUPER uses the Blackwell 2.0 architecture with the GB203 chip, also on a 5 nm TSMC process. Both GPUs share the same API feature set: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Core configuration diverges sharply. The RTX 4060 Max-Q carries 3072 shading units, 96 texture mapping units, 48 render output units, 24 ray tracing cores, and 96 tensor cores. The RTX 5080 SUPER more than triples most of these figures: 10752 shading units, 336 TMUs, 112 ROPs, 84 RT cores, and 336 tensor cores. Texture rate jumps from 141.1 GTexel/s to 879.3 GTexel/s, while pixel rate rises from 70.56 GPixel/s to 293.1 GPixel/s.

Clock behavior also differs. The RTX 4060 Max-Q runs a base clock of 1140 MHz and a boost clock of 1470 MHz. The RTX 5080 SUPER runs a base clock of 2295 MHz and a boost clock of 2617 MHz. Memory clocks are nominally similar at 2000 MHz, but the effective data rate differs: 16 Gbps for the 4060 Max-Q versus 32 Gbps for the 5080 SUPER. Both GPUs report FP16 at a 1:1 ratio with FP32, meaning no dedicated half-rate path.

Transistor density is close: 118.9M per mm² for the 4060 Max-Q versus 120.6M per mm² for the 5080 SUPER. The larger die and higher transistor count of the 5080 SUPER enable its expanded core count and memory interface. Power delivery reflects the performance gap: the 4060 Max-Q operates at 35 W with no external power connector, while the 5080 SUPER operates at 415 W with a 16-pin connector.

Where Each One Wins

The RTX 4060 Max-Q wins in scenarios requiring minimal power and compact integration. Its 35 W TDP and IGP slot width make it suitable for thin, portable systems where the display output is dependent on the host device. The absence of power connectors simplifies system design. For light workloads, the 4060 Max-Q provides 9.032 TFLOPS of FP32 compute and 256.0 GB/s of bandwidth, which is adequate for mainstream applications.

The RTX 5080 SUPER wins decisively in compute-heavy and high-resolution tasks. Its 56.28 TFLOPS FP32 performance, 1.02 TB/s memory bandwidth, and 24 GB VRAM support large datasets and demanding rendering workloads. The 84 RT cores and 336 tensor cores accelerate ray tracing and AI inference far beyond what the 4060 Max-Q can manage. The dual-slot design and 16-pin power connector indicate a desktop or large laptop configuration where cooling and power are not constrained.

The benchmark data for the 5080 SUPER shows a score of 3075 in 3DMark Steel Nomad DX12, placing it in the 19th percentile of all GPUs. That percentile ranking means the device outperforms the majority of the database, though its nearest rivals include older, lower-tier GPUs. The 4060 Max-Q sits at the 50th percentile with an average benchmark score of zero, reflecting the absence of recorded benchmark data rather than a performance estimate.

Specification Differences

| Specification | RTX 4060 Max-Q | RTX 5080 SUPER |

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

| Architecture | Ada Lovelace | Blackwell 2.0 |

| Chip | AD107 | GB203 |

| Process Node | 5 nm | 5 nm |

| Transistors | 18,900 million | 45,600 million |

| Die Size | 159 mm² | 378 mm² |

| Base Clock | 1140 MHz | 2295 MHz |

| Boost Clock | 1470 MHz | 2617 MHz |

| Memory Size | 8 GB | 24 GB |

| Memory Type | GDDR6 | GDDR7 |

| Memory Bus | 128 bit | 256 bit |

| Memory Bandwidth | 256.0 GB/s | 1.02 TB/s |

| Shading Units | 3072 | 10752 |

| TMUs | 96 | 336 |

| ROPs | 48 | 112 |

| RT Cores | 24 | 84 |

| Tensor Cores | 96 | 336 |

| Pixel Rate | 70.56 GPixel/s | 293.1 GPixel/s |

| Texture Rate | 141.1 GTexel/s | 879.3 GTexel/s |

| FP32 | 9.032 TFLOPS | 56.28 TFLOPS |

| FP16 | 9.032 TFLOPS (1:1) | 56.28 TFLOPS (1:1) |

| TDP | 35 W | 415 W |

| Slot Width | IGP | Dual-slot |

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

| Bus Interface | PCIe 4.0 x8 | PCIe 5.0 x16 |

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

| Release Date | 2023-01-02 | 2025-12-31 |

| Production Status | Active | Active |

The release dates place the 4060 Max-Q in the GeForce 40 Mobile generation, with a predecessor of GeForce 30 Mobile and a successor of GeForce 50 Mobile. The 5080 SUPER has no recorded predecessor or successor in the database. The 4060 Max-Q has no launch MSRP listed, while the 5080 SUPER has a launch MSRP of 999 USD.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark entries between these two GPUs. The wins counter shows zero for both sides. However, the RTX 5080 SUPER has a single recorded 3DMark Steel Nomad DX12 score of 3075, with an average benchmark score of 3075. The RTX 4060 Max-Q has no recorded benchmarks and an average score of zero.

The 5080 SUPER's nearest rivals in the database provide context for its score. The NVIDIA Quadro P1000 averages 3163 points, which is 2.8% higher than the 5080 SUPER's score. The Intel Arc Pro B60 averages 3182 points, 3.4% higher. In the other direction, the NVIDIA GeForce 820A averages 2983 points, which the 5080 SUPER beats by 3.1%. The NVIDIA GeForce GTX 860M averages 2967 points, with the 5080 SUPER ahead by 3.6%.

These delta percentages are modest, meaning the 5080 SUPER sits in a tight performance cluster near the 3000 point mark. Its 19th percentile rank across all GPUs indicates it outperforms roughly 81% of the database, yet the immediate rivals are not high-end parts. The 4060 Max-Q's 50th percentile rank is a median placement, but without benchmark scores, no direct comparison can be drawn from measured data.

The FP32 figures offer a theoretical comparison: the 5080 SUPER delivers 56.28 TFLOPS versus 9.032 TFLOPS for the 4060 Max-Q, a 6.2x gap. Memory bandwidth shows a 4x gap, with 1.02 TB/s versus 256.0 GB/s. Texture rate is 6.2x higher (879.3 GTexel/s versus 141.1 GTexel/s), and pixel rate is 4.2x higher (293.1 GPixel/s versus 70.56 GPixel/s). These ratios align with the core count differences, suggesting the 5080 SUPER scales roughly linearly with its additional resources.

The Verdict

The data supports a clear split by use case. The RTX 4060 Max-Q is a low-power mobile part, designed for environments where the 35 W TDP and IGP form factor are the primary constraints. Its 8 GB memory and 256.0 GB/s bandwidth serve standard portable workloads. The lack of power connectors and portable-device-dependent outputs confirm its role as an integrated-class solution within laptops.

The RTX 5080 SUPER is a high-performance discrete GPU. Its 415 W TDP, dual-slot cooler, and 16-pin power connector require a full-size chassis. The 24 GB GDDR7 memory and 1.02 TB/s bandwidth target high-resolution textures, large model loads, and multi-display setups. The 84 RT cores and 336 tensor cores provide substantial acceleration for ray-traced workloads and AI inference.

The recorded benchmark score of 3075 in 3DMark Steel Nomad DX12 places the 5080 SUPER at the 19th percentile of all GPUs. Its nearest rivals are within a 3.6% band, indicating a competitive field at this performance level. The 4060 Max-Q has no recorded benchmark scores, so its percentile rank of 50 reflects the database's default placement for unmeasured devices.

For a user selecting between these two, the decision rests on power and form factor versus raw throughput. The 4060 Max-Q fits low-power, space-constrained systems. The 5080 SUPER delivers 6.2x the FP32 compute, 4x the memory bandwidth, and 4.2x the pixel rate, at a launch MSRP of 999 USD. The performance and feature gap is large, but so is the power envelope. The data does not indicate a single superior choice, only two distinct targets.