AMD Radeon RX 9060 XT LP vs NVIDIA RTX A1000 Mobile Comparison

# AMD Radeon RX 9060 XT LP vs NVIDIA RTX A1000 Mobile

The database record splits this comparison cleanly: the AMD Radeon RX 9060 XT LP wins the OpenCL benchmark by a wide margin, while the NVIDIA RTX A1000 Mobile takes the Vulkan test. With one win each, the choice depends entirely on which workload matters more, and the underlying hardware differences explain why.

Where Each One Wins

The AMD Radeon RX 9060 XT LP dominates in OpenCL compute. It scores 88,183 points against the NVIDIA RTX A1000 Mobile's 48,703, a lead of 81.1%. That is not a small gap; it is nearly double the score. The AMD card also carries a much higher average benchmark score of 63,830 versus 47,743, and it sits at the 89th percentile of all GPUs, compared to the NVIDIA part's 85th. For OpenCL-heavy tasks such as general compute, rendering, or data processing, the RX 9060 XT LP is the clear choice.

The NVIDIA RTX A1000 Mobile wins in Vulkan. It scores 46,782 against the AMD's 39,476, a 15.6% advantage. Vulkan is a lower-level API often used in gaming and some professional visualization workloads. The NVIDIA part also has tensor cores, which the AMD card lacks entirely, making it better suited for AI inference or any workload that leverages those cores. Its nearest rivals in the database include the AMD Radeon RX 6800 XT, which it trails by only 1.5%, and it beats the AMD Radeon RX 6550M by 2.2%. That puts its Vulkan performance in a respectable tier despite its older architecture.

For raw compute throughput, the AMD part wins outright. For API-specific or tensor-accelerated workloads, the NVIDIA part has the edge. There is no overall winner; there are two distinct use cases.

Architecture Differences

The two GPUs come from different design philosophies and process nodes. The AMD Radeon RX 9060 XT LP uses the Navi 44 chip built on RDNA 4.0 architecture, fabricated on a 4 nm process at TSMC. It packs 29,700 million transistors into a 199 mm² die, giving a transistor density of 149.2 million per mm². The NVIDIA RTX A1000 Mobile uses the GA107 chip on Ampere architecture, built on an 8 nm process at Samsung. It has 8,700 million transistors on a 200 mm² die, yielding 43.5 million per mm². The AMD chip is far denser, which helps explain its massive compute advantage.

Memory configurations diverge sharply. The AMD card has 16 GB of GDDR6 on a 128-bit bus, delivering 322.3 GB/s of bandwidth. The NVIDIA part has only 4 GB of GDDR6 on the same 128-bit bus, with 176.0 GB/s. That is a 4x capacity difference and nearly 2x bandwidth difference. For large datasets or high-resolution textures, the AMD card has a clear structural advantage.

The compute units tell a similar story. Both have 2048 shading units, but the AMD card has 128 texture mapping units and 64 render output units, while the NVIDIA part has 64 TMUs and 32 ROPs. The AMD card also has 32 ray tracing cores, double the NVIDIA's 16. The NVIDIA part counters with 64 tensor cores, which the AMD card does not have at all. This is the key architectural split: AMD pours resources into raw pixel and texture throughput, while NVIDIA reserves silicon for tensor acceleration.

Clock speeds further separate them. The AMD card runs at a 1380 MHz base and 3050 MHz boost, with a game clock of 2450 MHz. The NVIDIA part runs at 630 MHz base and 1140 MHz boost, well under half the AMD's boost. Memory clocks also differ: 2518 MHz (20.1 Gbps effective) on the AMD versus 1375 MHz (11 Gbps effective) on the NVIDIA. These clock differences compound the architectural gaps.

Power and physical design differ as well. The AMD card is rated at 140 W TDP, requires a single 8-pin power connector, and is a dual-slot card. The NVIDIA part is rated at 60 W, uses no external power connector, and is an IGP (integrated graphics processor) form factor, meaning it is designed for mobile or embedded use. The AMD card uses PCIe 5.0 x16, while the NVIDIA uses PCIe 4.0 x8. Display outputs also differ: the AMD has 1x HDMI 2.1b and 2x DisplayPort 2.1a, while the NVIDIA's outputs are portable device dependent.

FAQ

Q: Which GPU has better OpenCL performance?

A: The AMD Radeon RX 9060 XT LP scores 88,183 in Geekbench OpenCL, which is 81.1% higher than the NVIDIA RTX A1000 Mobile's 48,703.

Q: Which GPU wins in Vulkan benchmarks?

A: The NVIDIA RTX A1000 Mobile scores 46,782 in Geekbench Vulkan, beating the AMD Radeon RX 9060 XT LP's 39,476 by 15.6%.

Q: How much memory does each GPU have?

A: The AMD Radeon RX 9060 XT LP has 16 GB of GDDR6, while the NVIDIA RTX A1000 Mobile has 4 GB of GDDR6.

Q: Does the NVIDIA card have tensor cores?

A: Yes, the NVIDIA RTX A1000 Mobile has 64 tensor cores, while the AMD Radeon RX 9060 XT LP has no tensor cores.

Q: What is the process node for each GPU?

A: The AMD Radeon RX 9060 XT LP is built on a 4 nm process at TSMC, while the NVIDIA RTX A1000 Mobile uses an 8 nm process at Samsung.

Q: Which card has higher power consumption?

A: The AMD Radeon RX 9060 XT LP is rated at 140 W TDP, compared to 60 W for the NVIDIA RTX A1000 Mobile.

Specification Differences

| Specification | AMD Radeon RX 9060 XT LP | NVIDIA RTX A1000 Mobile |

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

| Architecture | RDNA 4.0 | Ampere |

| Process Node | 4 nm | 8 nm |

| Foundry | TSMC | Samsung |

| Transistors | 29,700 million | 8,700 million |

| Die Size | 199 mm² | 200 mm² |

| Transistor Density | 149.2M / mm² | 43.5M / mm² |

| Base Clock | 1380 MHz | 630 MHz |

| Boost Clock | 3050 MHz | 1140 MHz |

| Memory Size | 16 GB | 4 GB |

| Memory Type | GDDR6 | GDDR6 |

| Memory Bus | 128 bit | 128 bit |

| Memory Bandwidth | 322.3 GB/s | 176.0 GB/s |

| Shading Units | 2048 | 2048 |

| TMUs | 128 | 64 |

| ROPs | 64 | 32 |

| RT Cores | 32 | 16 |

| Tensor Cores | None | 64 |

| Pixel Rate | 195.2 GPixel/s | 36.48 GPixel/s |

| Texture Rate | 390.4 GTexel/s | 72.96 GTexel/s |

| FP32 | 24.99 TFLOPS | 4.669 TFLOPS |

| TDP | 140 W | 60 W |

| Slot Width | Dual-slot | IGP |

| Power Connectors | 1x 8-pin | None |

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

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

| Release Date | 2025-12-16 | 2022-03-29 |

Head-to-Head Benchmarks

The Geekbench OpenCL test is the largest single gap in this comparison. The AMD Radeon RX 9060 XT LP posts 88,183, while the NVIDIA RTX A1000 Mobile manages 48,703. That is an 81.1% delta, meaning the AMD card delivers nearly twice the compute throughput. This aligns with the raw specifications: the AMD card has more than 5x the FP32 performance (24.99 TFLOPS versus 4.669 TFLOPS), more than 5x the texture rate, and nearly 5x the pixel rate. The 16 GB memory buffer also gives it a massive capacity advantage over the 4 GB NVIDIA part.

The Geekbench Vulkan test flips the result. The NVIDIA RTX A1000 Mobile scores 46,782, beating the AMD Radeon RX 9060 XT LP's 39,476 by 15.6%. This is notable because the NVIDIA card has far lower raw specifications: lower clocks, fewer TMUs and ROPs, and a fraction of the FP32 throughput. Yet in Vulkan, it wins. The presence of 64 tensor cores may help with certain Vulkan extensions, and the Ampere architecture's driver maturity for that API likely plays a role. The NVIDIA part also sits close to the AMD Radeon RX 6800 XT in average score (within 1.5%), which shows that its Vulkan efficiency is competitive despite its age.

Looking at the average benchmark score, the AMD card leads with 63,830 versus 47,743. The AMD part's nearest rivals include the NVIDIA CMP 30HX (within 0%) and the AMD Radeon RX 7600M (within 0.1%), while the NVIDIA part's nearest rivals include the AMD Radeon RX 6800 XT (1.5% behind) and the AMD Radeon RX 6550M (2.2% ahead). This places the AMD card in a higher overall performance tier, but the Vulkan result shows that the NVIDIA card is not obsolete.

The Verdict

Choose the AMD Radeon RX 9060 XT LP if you prioritize OpenCL compute, raw throughput, memory capacity, or any workload that scales with FP32 performance. The data shows an 81.1% lead in OpenCL, a 16 GB memory buffer, and an average benchmark score 33.7% higher than the NVIDIA part. It is also a current, active product with a 4 nm process and PCIe 5.0 support, making it the more future-proof option. Its 140 W TDP and dual-slot design mean it needs a proper power supply and chassis space, but the performance payoff is substantial.

Choose the NVIDIA RTX A1000 Mobile if Vulkan performance matters more, or if you need tensor cores for AI-related tasks. It wins the Vulkan benchmark by 15.6% despite being an older, end-of-life product. Its 60 W TDP and IGP form factor make it far more power-efficient and easier to integrate into compact or mobile systems. The 4 GB memory is a limitation, but for Vulkan-centric workloads or inference tasks that fit within that capacity, the NVIDIA card holds its own.

There is no universal winner. The AMD card is the compute powerhouse; the NVIDIA card is the efficient Vulkan specialist. Match the GPU to the workload, and the benchmark data will guide the decision correctly.