NVIDIA GeForce RTX 4080 vs NVIDIA RTX A1000 Comparison

The data places the NVIDIA GeForce RTX 4080 and the NVIDIA RTX A1000 in the same performance percentile bracket, yet their benchmark results reveal drastically different capabilities. Both cards sit at the 87th percentile against all GPUs, with average benchmark scores of 52085 for the RTX 4080 and 50826 for the A1000. The RTX 4080 holds a 2.5% average score advantage over the A1000, while the A1000 trails the RTX 4080 by 2.4% from its own perspective. These aggregate numbers, however, mask the sheer scale of the performance gap in specific workloads, as the head-to-head benchmark results show the RTX 4080 leading by hundreds of percentage points in compute-intensive tests.

Head-to-Head Benchmarks

The most striking finding comes from the Geekbench OpenCL test, where the RTX 4080 scored 240854 against the A1000’s 52078. This represents a 362.5% advantage for the RTX 4080, meaning it delivers roughly 4.6 times the raw compute throughput in this OpenCL workload. The disparity is not a marginal edge but a fundamental difference in processing capability, driven by the RTX 4080’s 9728 shading units versus the A1000’s 2304, alongside its 48.74 TFLOPS FP32 throughput compared to the A1000’s 6.737 TFLOPS.

The Vulkan results tell a similar story, though with a slightly smaller margin. The RTX 4080 posted 216045 in Geekbench Vulkan, while the A1000 managed 49574, yielding a 335.8% difference. This still places the RTX 4080 at roughly 4.4 times the A1000’s Vulkan performance. Both tests confirm that the RTX 4080 wins all available head-to-head comparisons, securing 2 wins to the A1000’s 0. The A1000’s nearest rivals in the overall database include the AMD Radeon RX 6800 XT (1.7% ahead) and Intel Arc A550M (2.2% ahead), while the RTX 4080’s closest competitor is the NVIDIA GeForce RTX 5070 Ti, which matches its average score with a 0% delta.

FAQ

Q: How much faster is the RTX 4080 in OpenCL compute?

A: The RTX 4080 scored 240854 in Geekbench OpenCL, which is 362.5% higher than the A1000’s 52078. This means the RTX 4080 delivers more than four times the OpenCL compute performance.

Q: Does the A1000 win any benchmark against the RTX 4080?

A: No. In the two head-to-head tests available (Geekbench OpenCL and Vulkan), the RTX 4080 wins both. The A1000 has 0 wins, while the RTX 4080 has 2 wins.

Q: Are these two GPUs in the same performance tier?

A: Both cards share the 87th percentile against all GPUs, but their average scores differ: the RTX 4080 averages 52085, while the A1000 averages 50826. The RTX 4080 is 2.5% ahead of the A1000 in average score, yet the per-test deltas are far larger.

Q: What is the RTX 4080’s closest rival in the database?

A: The NVIDIA GeForce RTX 5070 Ti has an average score of 52086, which is nearly identical to the RTX 4080’s 52085, showing a 0% delta. The AMD Radeon RX 7700S is 0.8% behind, and the AMD Radeon Pro W6600M is 2.5% behind.

Q: How does the A1000 compare to its nearest rivals?

A: The A1000 is 1.7% ahead of the AMD Radeon RX 6800 XT and 2.2% ahead of the Intel Arc A550M. It trails the RTX 4080 and RTX 5070 Ti by 2.4% in average score.

Q: Which card has a higher transistor density?

A: The RTX 4080 has a transistor density of 121.1M per mm², while the A1000 has 43.5M per mm². The RTX 4080’s 5 nm process node from TSMC enables this higher density compared to the A1000’s 8 nm Samsung node.

Architecture Differences

The architectural gap between these two GPUs is foundational. The RTX 4080 uses the AD103 chip built on Ada Lovelace architecture, fabricated on a 5 nm process at TSMC with 45,900 million transistors on a 379 mm² die. The A1000 uses the GA107 chip from the Ampere architecture, manufactured on Samsung’s 8 nm node with 8,700 million transistors across a 200 mm² die. This translates to a transistor density of 121.1M per mm² for the Ada chip versus 43.5M per mm² for the Ampere chip, highlighting the manufacturing advantage of the newer process.

Core counts differ substantially. The RTX 4080 packs 9728 shading units, 304 texture mapping units, 112 ROPs, 76 RT cores, and 304 tensor cores. The A1000 has 2304 shading units, 72 TMUs, 32 ROPs, 18 RT cores, and 72 tensor cores. The RTX 4080 also features a larger memory subsystem with 16 GB of GDDR6X on a 256-bit bus, yielding 716.8 GB/s of bandwidth, while the A1000 offers 8 GB of GDDR6 on a 128-bit bus with 192.0 GB/s. Clock speeds diverge as well: the RTX 4080 runs at 2205 MHz base and 2505 MHz boost, whereas the A1000 operates at 727 MHz base and 1462 MHz boost. Pixel rate stands at 280.6 GPixel/s for the RTX 4080 versus 46.78 GPixel/s for the A1000, and texture rates are 761.5 GTexel/s against 105.3 GTexel/s. Both support DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, but the RTX 4080 uses a PCIe 4.0 x16 interface while the A1000 uses PCIe 4.0 x8.

The Verdict

The data supports a clear split between these two products. The RTX 4080 is the dominant performer in raw compute and graphics benchmarks, with a 362.5% lead in OpenCL and a 335.8% lead in Vulkan. Its 2.5% higher average score places it ahead of the A1000, and its nearest rival is the RTX 5070 Ti, which matches its average score exactly. The A1000, by contrast, sits in the same percentile but with far lower per-test scores, and its closest competitors are the Radeon RX 6800 XT and Arc A550M. For users who prioritize maximum compute throughput, the RTX 4080 is the clear choice based on benchmark results. The A1000, however, remains a viable option for those who need a single-slot, low-power card with 8 GB of memory, as its 50 W TDP and lack of power connectors contrast sharply with the RTX 4080’s 320 W TDP and 16-pin connector. The production status also differs, with the RTX 4080 marked as end-of-life and the A1000 listed as active.

Specification Differences

| Specification | NVIDIA GeForce RTX 4080 | NVIDIA RTX A1000 |

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

| Chip | AD103 | GA107 |

| Architecture | Ada Lovelace | Ampere |

| Process Node | 5 nm | 8 nm |

| Foundry | TSMC | Samsung |

| Transistors | 45,900 million | 8,700 million |

| Die Size | 379 mm² | 200 mm² |

| Transistor Density | 121.1M / mm² | 43.5M / mm² |

| Base Clock | 2205 MHz | 727 MHz |

| Boost Clock | 2505 MHz | 1462 MHz |

| Memory Size | 16 GB | 8 GB |

| Memory Type | GDDR6X | GDDR6 |

| Memory Bus Width | 256 bit | 128 bit |

| Memory Bandwidth | 716.8 GB/s | 192.0 GB/s |

| Shading Units | 9728 | 2304 |

| TMUs | 304 | 72 |

| ROPs | 112 | 32 |

| RT Cores | 76 | 18 |

| Tensor Cores | 304 | 72 |

| Pixel Rate | 280.6 GPixel/s | 46.78 GPixel/s |

| Texture Rate | 761.5 GTexel/s | 105.3 GTexel/s |

| FP32 | 48.74 TFLOPS | 6.737 TFLOPS |

| FP16 | 48.74 TFLOPS (1:1) | 6.737 TFLOPS (1:1) |

| TDP | 320 W | 50 W |

| Slot Width | Triple-slot | Single-slot |

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

| Suggested PSU | 700 W | 250 W |

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

| Display Outputs | 1x HDMI 2.1, 3x DisplayPort 1.4a | 4x mini-DisplayPort 1.4a |

| Dimensions (LxHxW) | 310 x 140 x 61 mm | 163 x 69 mm |

Where Each One Wins

The RTX 4080 wins decisively in every measured benchmark category. Its OpenCL score of 240854 and Vulkan score of 216045 demonstrate leadership in compute and graphics API workloads. The card’s 16 GB of GDDR6X memory and 716.8 GB/s bandwidth support large datasets and high-resolution textures, while its 76 RT cores and 304 tensor cores provide substantial acceleration for ray tracing and AI tasks. The 48.74 TFLOPS FP32 throughput makes it suitable for heavy simulation, rendering, and machine learning inference.

The A1000 wins in physical and power characteristics, though not in performance. Its 50 W TDP and single-slot design allow installation in compact systems without auxiliary power connectors, and its 250 W suggested PSU requirement makes it compatible with modest power supplies. The 8 GB of GDDR6 memory and 192.0 GB/s bandwidth are sufficient for lighter workloads, and its 18 RT cores and 72 tensor cores offer entry-level ray tracing and AI capabilities. The A1000’s 163 mm length and 69 mm height make it suitable for small form factor builds, while the RTX 4080’s 310 mm length and 61 mm width require more space. The A1000 is an active product, whereas the RTX 4080 is end-of-life, which may influence availability. For users with strict space, power, and thermal constraints, the A1000 presents a functional option, but for absolute performance, the RTX 4080’s benchmark dominance is unambiguous.