NVIDIA GeForce RTX 4090 Mobile vs NVIDIA RTX A1000 Mobile Comparison

The NVIDIA RTX A1000 Mobile and NVIDIA GeForce RTX 4090 Mobile represent two vastly different tiers of laptop graphics, separated by architecture, purpose, and raw compute capacity. The A1000 Mobile is a professional Ampere-based workstation GPU focused on efficiency and reliability, while the RTX 4090 Mobile is a top-tier Ada Lovelace consumer flagship built for maximum performance. Benchmark data shows the RTX 4090 Mobile dominating in every comparative test, yet the A1000 Mobile holds its own in its niche, with a higher performance percentile rank despite lower absolute scores. This analysis breaks down the architectural gulf, benchmark deltas, and the specific use cases where each GPU excels according to the measurable data.

FAQ

Q: Which GPU is faster in Geekbench OpenCL?

A: The NVIDIA GeForce RTX 4090 Mobile wins decisively with a score of 180,831 versus the RTX A1000 Mobile’s 48,703, a delta of -73.1% for the A1000, meaning the 4090 is roughly 3.7 times faster.

Q: How do the two compare in Vulkan performance?

A: The RTX 4090 Mobile again leads with 170,774 points against the A1000 Mobile’s 46,782 points, showing a -72.6% delta. This indicates the 4090 holds a similar massive advantage in Vulkan as it does in OpenCL.

Q: Which GPU has the higher overall benchmark percentile ranking?

A: Despite losing both head-to-head tests, the RTX A1000 Mobile has a higher percentile ranking at 85th versus the RTX 4090 Mobile’s 84th percentile among all GPUs. This suggests the A1000 benefits from more consistent scores across its tested workloads.

Q: What is the memory capacity difference between the two?

A: The RTX 4090 Mobile comes with 16 GB of GDDR6 memory on a 256-bit bus, while the RTX A1000 Mobile has only 4 GB of GDDR6 on a 128-bit bus. This results in a bandwidth gap of 576.0 GB/s for the 4090 versus 176.0 GB/s for the A1000.

Q: Which GPU has a higher transistor density?

A: The RTX 4090 Mobile’s AD103 chip packs 121.1 million transistors per square millimeter on a 5 nm process, while the RTX A1000 Mobile’s GA107 achieves 43.5 million per square millimeter on an 8 nm process. The 4090’s density is nearly three times higher.

Q: Are both GPUs still in production?

A: No. The RTX A1000 Mobile is marked as end-of-life, while the RTX 4090 Mobile is listed as active. The A1000 was released on 2022-03-29, and the 4090 followed on 2023-01-02.

Architecture Differences

The two GPUs are built on entirely different architectures and fabrication processes. The RTX A1000 Mobile uses the Ampere architecture with the GA107 chip, manufactured by Samsung on an 8 nm process. It contains 8,700 million transistors on a 200 mm² die, yielding a transistor density of 43.5 million per square millimeter. In contrast, the RTX 4090 Mobile leverages the Ada Lovelace architecture with the AD103 chip, built by TSMC on a 5 nm process. This newer node packs 45,900 million transistors into a 379 mm² die, achieving a density of 121.1 million per square millimeter. The 4090’s die is nearly twice the physical size but holds over five times the transistor count, reflecting the advanced manufacturing.

Core configurations diverge sharply. The A1000 Mobile has 2,048 shading units, 64 texture mapping units (TMUs), and 32 render output units (ROPs). It also includes 16 ray tracing cores and 64 tensor cores. The RTX 4090 Mobile scales this up dramatically with 9,728 shading units, 304 TMUs, and 112 ROPs, alongside 76 ray tracing cores and 304 tensor cores. The 4090’s shading unit count is 4.75 times higher, and its tensor core count is also 4.75 times higher, indicating a similar per-core architecture but with far more parallelism.

Clock speeds and compute rates also differ. The A1000 Mobile runs at a base clock of 630 MHz with a boost of 1140 MHz, while the 4090 Mobile starts at 1335 MHz and boosts to 1695 MHz. This yields a peak FP32 throughput of 4.669 TFLOPS for the A1000 versus 32.98 TFLOPS for the 4090, a difference of over seven times. Both support FP16 at a 1:1 ratio with FP32, meaning they double their throughput for half-precision workloads. The memory subsystem is also distinct: the A1000 uses 4 GB of GDDR6 at 11 Gbps effective, while the 4090 uses 16 GB of GDDR6 at 18 Gbps, with bus widths of 128-bit and 256-bit respectively.

Power and interface specifications highlight the 4090’s higher appetite. The A1000 Mobile has a thermal design power (TDP) of 60 W, while the 4090 Mobile draws 120 W, exactly double. Both are integrated into the motherboard (IGP slot width) with no power connectors, and both rely on portable device-dependent display outputs. The A1000 uses a PCIe 4.0 x8 interface, whereas the 4090 uses PCIe 4.0 x16, doubling the available bandwidth to the host system. Both support the same API set: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Head-to-Head Benchmarks

The head-to-head data is unambiguous: the RTX 4090 Mobile wins both recorded tests, leaving the A1000 Mobile with zero wins. The first test, Geekbench OpenCL, shows the 4090 scoring 180,831 against the A1000’s 48,703. This is a delta of -73.1% from the A1000’s perspective, meaning the 4090 achieves roughly 3.7 times the score. In real-world terms, this translates to a massive advantage in general-purpose compute tasks like rendering or physics simulations, where raw shading throughput dominates.

The second test, Geekbench Vulkan, follows a similar pattern. The 4090 scores 170,774, while the A1000 manages 46,782, a delta of -72.6%. The percentage gap is nearly identical to OpenCL, suggesting the performance ratio is consistent across different graphics APIs. This consistency implies the architectural advantages of the 4090—more cores, faster clocks, and higher bandwidth—manifest uniformly regardless of the software layer.

However, the aggregate benchmark picture offers a nuance. The A1000 Mobile has an average benchmark score of 47,743, while the 4090 Mobile averages 43,667. This is counterintuitive given the head-to-head results, but it stems from the different benchmark suites each GPU is tested with. The A1000’s average comes from only two Geekbench tests, both in the 46,000-48,000 range. The 4090’s average includes those two high scores (180,831 and 170,774) but also incorporates nine Passmark tests, several of which score very low, like 107 in DirectX 12 and 173 in DirectX 10. These low Passmark scores drag down the 4090’s average, even though its peak performance is far superior.

This discrepancy also explains the percentile rankings. The A1000 sits at the 85th percentile of all GPUs, slightly above the 4090’s 84th percentile. The A1000’s nearest rivals include the AMD Radeon RX 6800 XT with an average score of 48,477 (a -1.5% delta), the AMD Radeon RX 6550M at 46,702 (+2.2%), and the Intel Arc A530M at 46,614 (+2.4%). The 4090’s rivals are different, including the NVIDIA Quadro M6000 at 43,301 (+0.8%), the GeForce RTX 5050 Mobile at 43,268 (+0.9%), and the NVIDIA RTX A6000 at 44,075 (-0.9%). These rival sets show that the 4090 is competing in a higher absolute performance tier, but its average score is pulled down by inconsistent Passmark results.

The Verdict

The data clearly indicates that the RTX 4090 Mobile is the outright performance king in direct comparisons. Its Geekbench scores are over 170,000 points higher than the A1000 Mobile, and it wins both head-to-head tests with deltas exceeding 72%. For any workload that demands maximum frame rates, compute throughput, or large memory capacities, the 4090 Mobile is the obvious choice based on the benchmark results. Its 16 GB memory and 576.0 GB/s bandwidth are essential for high-resolution textures and large datasets, and its 32.98 TFLOPS FP32 performance dwarfs the A1000’s 4.669 TFLOPS.

The RTX A1000 Mobile, however, is not without merit. Its higher percentile rank (85th vs 84th) and higher average benchmark score (47,743 vs 43,667) suggest that in its own testing ecosystem, it is more consistently strong relative to its peers. It achieves this with a 60 W TDP, exactly half the 4090’s 120 W, making it a far more power-efficient option for thin-and-light workstations. Its 8 nm process and 200 mm² die are older and larger per transistor, but the lower core count and clock speeds keep power draw manageable.

The choice depends on the use case. For a mobile workstation focused on CAD, professional visualization, or other latency-sensitive tasks where the A1000’s reliability and efficiency are paramount, the data supports its selection. Its end-of-life status is a concern for future driver support, but its current benchmark standing is solid. For gaming, 3D rendering, machine learning, or any performance-critical application, the RTX 4090 Mobile is the definitive pick. Its wins in both head-to-head tests are decisive, and its active production status ensures ongoing availability. The 4090’s lower percentile rank is a statistical artifact of its mixed benchmark suite, not a reflection of real-world capability.

Specification Differences

| Specification | NVIDIA RTX A1000 Mobile | NVIDIA GeForce RTX 4090 Mobile |

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

| Architecture | Ampere | Ada Lovelace |

| Process Node | 8 nm | 5 nm |

| Foundry | Samsung | TSMC |

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

| Die Size | 200 mm² | 379 mm² |

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

| Base Clock | 630 MHz | 1335 MHz |

| Boost Clock | 1140 MHz | 1695 MHz |

| Memory Clock | 1375 MHz / 11 Gbps effective | 2250 MHz / 18 Gbps effective |

| Memory Size | 4 GB | 16 GB |

| Memory Bus Width | 128 bit | 256 bit |

| Memory Bandwidth | 176.0 GB/s | 576.0 GB/s |

| Shading Units | 2048 | 9728 |

| TMUs | 64 | 304 |

| ROPs | 32 | 112 |

| RT Cores | 16 | 76 |

| Tensor Cores | 64 | 304 |

| Pixel Rate | 36.48 GPixel/s | 189.8 GPixel/s |

| Texture Rate | 72.96 GTexel/s | 515.3 GTexel/s |

| FP32 Performance | 4.669 TFLOPS | 32.98 TFLOPS |

| FP16 Performance | 4.669 TFLOPS (1:1) | 32.98 TFLOPS (1:1) |

| TDP | 60 W | 120 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 |