NVIDIA GeForce RTX 4080 Mobile vs NVIDIA RTX A1000 Mobile Comparison

Where Each One Wins

The recorded benchmark data splits cleanly between these two mobile GPUs. The NVIDIA GeForce RTX 4080 Mobile wins every head-to-head comparison in the database, taking both available tests with decisive margins. The NVIDIA RTX A1000 Mobile, by contrast, records zero wins across the same two tests. This is not a close contest; the data shows a clear performance hierarchy.

For compute-heavy workloads, the RTX 4080 Mobile dominates. In the Geekbench OpenCL test, it scores 159,575 versus the A1000 Mobile's 48,703, a delta of -69.5% from the A1000's perspective. This means the RTX 4080 Mobile delivers more than three times the raw compute throughput. The Vulkan test tells a similar story: 145,807 versus 46,782, a -67.9% delta. Any application that leverages OpenCL or Vulkan will strongly favor the RTX 4080 Mobile.

The RTX A1000 Mobile does have a positional advantage in one narrow sense: its average benchmark score of 47,743 places it in the 85th percentile of all GPUs in the database, while the RTX 4080 Mobile's average of 38,135 sits in the 81st percentile. This is a quirk of averaging across different test suites, not a sign of competitive parity. The A1000 Mobile's two recorded tests (OpenCL and Vulkan) both cluster around the 47,000 to 49,000 range, while the RTX 4080 Mobile's broader nine-test suite includes lower DirectX scores that pull its average down. The head-to-head data, which uses identical tests for both cards, is the more reliable guide: the RTX 4080 Mobile wins both, and wins big.

Architecture Differences

The two GPUs come from different NVIDIA architectures and manufacturing processes. The RTX A1000 Mobile uses the GA107 chip on the Ampere architecture, fabricated on Samsung's 8 nm process. The chip packs 8,700 million transistors on a 200 mm² die, for a transistor density of 43.5 million per square millimeter. The RTX 4080 Mobile moves to the AD104 chip on the Ada Lovelace architecture, built on TSMC's 5 nm process. That die holds 35,800 million transistors across 294 mm², reaching 121.8 million transistors per square millimeter. The density gap is substantial: the newer process packs roughly 2.8 times more transistors per area.

Core counts differ by a wide margin. The RTX 4080 Mobile has 7,424 shading units, 232 texture mapping units, 80 raster output units, 58 ray tracing cores, and 232 tensor cores. The RTX A1000 Mobile has 2,048 shading units, 64 TMUs, 32 ROPs, 16 RT cores, and 64 tensor cores. In every category, the RTX 4080 Mobile carries roughly 3.5 to 3.6 times the hardware resources. This explains the compute gap: more cores, more ray tracing hardware, and more tensor units all feed into higher throughput.

Clock behavior also diverges. The A1000 Mobile runs a 630 MHz base and 1,140 MHz boost. The RTX 4080 Mobile starts at 1,290 MHz base and boosts to 1,665 MHz. The higher clocks compound the core count advantage. Memory clock rates differ as well: the A1000's GDDR6 runs at 1,375 MHz with 11 Gbps effective transfer; the RTX 4080's GDDR6 runs at 2,250 MHz with 18 Gbps effective. Both use GDDR6, but the RTX 4080 Mobile runs it faster.

The bus interface also differs. The A1000 Mobile uses PCIe 4.0 x8, while the RTX 4080 Mobile uses PCIe 4.0 x16. Both are IGP form factors with no power connectors and portable-device-dependent display outputs. The RTX 4080 Mobile draws 110 W TDP versus the A1000's 60 W, which aligns with its larger chip and higher clocks.

Head-to-Head Benchmarks

The Geekbench OpenCL test shows the full extent of the performance gap. The RTX 4080 Mobile scores 159,575 against the A1000 Mobile's 48,703. The delta percentage is -69.5%, meaning the A1000 Mobile trails by nearly seven-tenths. In practical terms, the RTX 4080 Mobile achieves about 3.28 times the OpenCL score. This test stresses general-purpose compute, so the 3.6x core advantage and higher clocks translate almost linearly into performance.

The Vulkan test follows suit. The RTX 4080 Mobile posts 145,807, while the A1000 Mobile manages 46,782, a -67.9% delta. That works out to roughly 3.12 times the Vulkan score. The margin is slightly narrower than OpenCL, but still overwhelming. Vulkan workloads, which often mix graphics and compute, benefit from the RTX 4080 Mobile's larger ROP count (80 versus 32) and higher pixel rate (133.2 GPixel/s versus 36.48 GPixel/s).

The RTX 4080 Mobile also has a broader benchmark footprint in the database. Beyond the two Geekbench tests it shares with the A1000, it records PassMark scores across DirectX 9, 10, 11, 12, G2D, G3D, and compute. Its DirectX 11 score of 244 and DirectX 9 score of 286 indicate strong legacy API performance, while the G3D score of 24,926 and GPU compute score of 11,191 reinforce its position. The A1000 Mobile has no recorded PassMark scores, so cross-API comparisons beyond OpenCL and Vulkan are not possible from the data.

FAQ

Q: Which GPU wins in OpenCL compute?

A: The NVIDIA GeForce RTX 4080 Mobile wins decisively, scoring 159,575 versus the RTX A1000 Mobile's 48,703, a -69.5% delta from the A1000's perspective.

Q: How do the two compare in Vulkan performance?

A: The RTX 4080 Mobile leads again, with 145,807 to the A1000's 46,782, representing a -67.9% delta. The gap is slightly narrower than in OpenCL but remains very large.

Q: What are the memory specifications for each card?

A: The RTX A1000 Mobile has 4 GB of GDDR6 on a 128-bit bus with 176.0 GB/s bandwidth. The RTX 4080 Mobile has 12 GB of GDDR6 on a 192-bit bus with 432.0 GB/s bandwidth.

Q: Which GPU has more shading units?

A: The RTX 4080 Mobile has 7,424 shading units, while the RTX A1000 Mobile has 2,048. The RTX 4080 Mobile also has 232 TMUs and 80 ROPs versus 64 TMUs and 32 ROPs.

Q: Are there differences in ray tracing and tensor cores?

A: Yes. The RTX 4080 Mobile has 58 RT cores and 232 tensor cores. The RTX A1000 Mobile has 16 RT cores and 64 tensor cores.

Q: What is the TDP difference?

A: The RTX 4080 Mobile is rated at 110 W, while the RTX A1000 Mobile is rated at 60 W. Both are IGP form factors without power connectors.

The Verdict

The data points to a simple conclusion: the NVIDIA GeForce RTX 4080 Mobile is the superior performer in every measured test. Its OpenCL score is 3.28 times higher than the A1000 Mobile's, and its Vulkan score is 3.12 times higher. The core count disparity, clock advantage, and memory bandwidth all align to produce this result. Anyone choosing between these two for raw compute or graphics work should select the RTX 4080 Mobile without hesitation.

The RTX A1000 Mobile's case rests on efficiency and longevity rather than performance. Its 60 W TDP is roughly half the RTX 4080 Mobile's 110 W draw. It also holds a higher percentile ranking in the database (85th versus 81st), though this reflects its narrower test set. The A1000 Mobile is end-of-life, released in March 2022, while the RTX 4080 Mobile is active and released in January 2023. For workloads that fit within 4 GB of memory and do not require extreme compute, the A1000 Mobile could serve as a lower-power option. But the benchmark record provides no performance scenario where it beats the RTX 4080 Mobile.

The RTX 4080 Mobile also offers more memory headroom: 12 GB versus 4 GB, with 432.0 GB/s bandwidth versus 176.0 GB/s. Its PCIe 4.0 x16 interface doubles the A1000's x8 width. The newer Ada Lovelace architecture, 5 nm process, and higher transistor density (121.8M/mm² versus 43.5M/mm²) all point to a more modern design. The Verdict is straightforward: pick the RTX 4080 Mobile for performance, pick the A1000 Mobile only if power draw below 110 W is a hard constraint and the workload is light enough to fit in 4 GB.

Specification Differences

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

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

| Architecture | Ampere | Ada Lovelace |

| Process Node | 8 nm (Samsung) | 5 nm (TSMC) |

| Transistors | 8,700 million | 35,800 million |

| Die Size | 200 mm² | 294 mm² |

| Transistor Density | 43.5M / mm² | 121.8M / mm² |

| Base Clock | 630 MHz | 1,290 MHz |

| Boost Clock | 1,140 MHz | 1,665 MHz |

| Memory Clock | 1,375 MHz (11 Gbps effective) | 2,250 MHz (18 Gbps effective) |

| Memory Size | 4 GB | 12 GB |

| Memory Bus Width | 128 bit | 192 bit |

| Memory Bandwidth | 176.0 GB/s | 432.0 GB/s |

| Shading Units | 2,048 | 7,424 |

| TMUs | 64 | 232 |

| ROPs | 32 | 80 |

| RT Cores | 16 | 58 |

| Tensor Cores | 64 | 232 |

| Pixel Rate | 36.48 GPixel/s | 133.2 GPixel/s |

| Texture Rate | 72.96 GTexel/s | 386.3 GTexel/s |

| FP32 | 4.669 TFLOPS | 24.72 TFLOPS |

| FP16 | 4.669 TFLOPS (1:1) | 24.72 TFLOPS (1:1) |

| TDP | 60 W | 110 W |

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

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

| Release Date | 2022-03-29 | 2023-01-02 |

| Predecessor | Quadro Turing-M | GeForce 30 Mobile |

| Successor | Ada-MW | GeForce 50 Mobile |