GPU Comparison

The NVIDIA GeForce RTX 4080 Mobile is decisively the faster GPU in this matchup, leading the NVIDIA RTX A1000 by over 200% in compute workloads. The RTX 4080 Mobile’s 206.4% lead in Geekbench OpenCL and 194.1% lead in Geekbench Vulkan are not marginal wins; they represent a generational and architectural chasm between a high-end consumer mobile part and a low-profile workstation adapter.

Head-to-Head Benchmarks

The data available for direct comparison is limited to two compute-focused tests, but the results are unambiguous. In Geekbench OpenCL, the RTX 4080 Mobile scores 159,575 points, while the RTX A1000 manages 52,078 points. This translates to a 206.4% delta, meaning the RTX 4080 Mobile delivers over three times the raw compute throughput. The Geekbench Vulkan test shows a similar pattern: the RTX 4080 Mobile scores 145,807 points versus the RTX A1000’s 49,574 points, a 194.1% advantage. Both tests measure general-purpose GPU compute, so the RTX 4080 Mobile’s dominance here suggests it is the clear choice for any workload leveraging OpenCL or Vulkan compute acceleration.

The RTX A1000 does not win either of the two head-to-head tests. However, its performance class is better understood through its average benchmark score and nearest rivals. The RTX A1000’s average score is 34,207, placing it in the 79th percentile of all GPUs. Its nearest rival, the NVIDIA RTX A2000 12 GB, scores 34,154, which is only 0.2% lower, indicating that the RTX A1000 is essentially performance-equivalent to that card. In contrast, the RTX 4080 Mobile’s average score is 38,135, placing it in the 81st percentile. Its nearest rival, the NVIDIA GeForce MX570, scores 38,299, a mere 0.4% higher, showing that the RTX 4080 Mobile sits in a completely different performance tier than the RTX A1000, despite their close percentile rankings.

Architecture Differences

The two GPUs are built on entirely different architectures and manufacturing processes. The RTX 4080 Mobile uses the AD104 chip based on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. It integrates 35,800 million transistors on a 294 mm² die, yielding a transistor density of 121.8M per mm². The RTX A1000, by contrast, uses the GA107 chip based on the older Ampere architecture, fabricated by Samsung on an 8 nm process. It contains only 8,700 million transistors on a 200 mm² die, with a transistor density of 43.5M per mm². The RTX 4080 Mobile therefore packs over four times the transistors into a die that is only 47% larger, explaining its vast compute advantage.

Core counts reinforce this gap. The RTX 4080 Mobile has 7,424 shading units, 232 texture mapping units, and 80 raster output pipelines. It also has 58 ray tracing cores and 232 tensor cores. The RTX A1000 has 2,304 shading units, 72 TMUs, and 32 ROPs, along with 18 ray tracing cores and 72 tensor cores. This means the RTX 4080 Mobile has 3.2 times the shading units, 3.2 times the TMUs, 2.5 times the ROPs, 3.2 times the ray tracing cores, and 3.2 times the tensor cores of the RTX A1000. Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API feature sets are identical, but the execution resources are vastly different.

Clock speeds also differ. The RTX 4080 Mobile has a base clock of 1290 MHz and a boost clock of 1665 MHz, while the RTX A1000 has a base clock of 727 MHz and a boost clock of 1462 MHz. The RTX 4080 Mobile’s higher transistor count and newer process allow it to sustain higher frequencies under load, contributing to its performance lead. Memory configurations further separate the two: the RTX 4080 Mobile uses 12 GB of GDDR6 on a 192-bit bus, delivering 432.0 GB/s of bandwidth, while the RTX A1000 uses 8 GB of GDDR6 on a 128-bit bus, delivering 192.0 GB/s. The RTX 4080 Mobile has 2.25 times the memory bandwidth, which is critical for high-resolution textures and compute workloads.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA GeForce RTX 4080 Mobile has an average benchmark score of 38,135, while the NVIDIA RTX A1000 has an average score of 34,207.

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

A: The RTX 4080 Mobile scores 159,575 points versus 52,078 points for the RTX A1000, a 206.4% advantage.

Q: Does the RTX A1000 win any head-to-head test?

A: No. The RTX A1000 wins zero of the two head-to-head benchmarks; the RTX 4080 Mobile wins both.

Q: What are the memory capacities of these GPUs?

A: The RTX 4080 Mobile has 12 GB of GDDR6, while the RTX A1000 has 8 GB of GDDR6.

Q: Which GPU has more ray tracing cores?

A: The RTX 4080 Mobile has 58 ray tracing cores, compared to 18 on the RTX A1000.

Q: What is the process node for each GPU?

A: The RTX 4080 Mobile is built on a 5 nm process, while the RTX A1000 is built on an 8 nm process.

Specification Differences

The specification differences between the two GPUs are stark and numerous. The chip and architecture differ: AD104 with Ada Lovelace versus GA107 with Ampere. The process node is 5 nm (TSMC) versus 8 nm (Samsung). Transistor count is 35,800 million versus 8,700 million, and die size is 294 mm² versus 200 mm². Transistor density is 121.8M per mm² versus 43.5M per mm².

Core configurations differ substantially: shading units are 7,424 versus 2,304; TMUs are 232 versus 72; ROPs are 80 versus 32; ray tracing cores are 58 versus 18; and tensor cores are 232 versus 72. Pixel rate is 133.2 GPixel/s versus 46.78 GPixel/s, and texture rate is 386.3 GTexel/s versus 105.3 GTexel/s. FP32 compute is 24.72 TFLOPS versus 6.737 TFLOPS, with FP16 also at 24.72 TFLOPS versus 6.737 TFLOPS.

Memory attributes differ: size is 12 GB versus 8 GB, bus width is 192-bit versus 128-bit, and bandwidth is 432.0 GB/s versus 192.0 GB/s. Memory clock is 2250 MHz (18 Gbps effective) versus 1500 MHz (12 Gbps effective). The TDP is 110 W versus 50 W. Slot width is IGP versus single-slot, and the bus interface is PCIe 4.0 x16 versus PCIe 4.0 x8. Display outputs are portable-device dependent versus 4x mini-DisplayPort 1.4a. The suggested PSU is absent for the RTX 4080 Mobile but listed as 250 W for the RTX A1000. Dimensions differ: the RTX A1000 is 163 mm in length and 69 mm in height, while the RTX 4080 Mobile has no listed dimensions. Release dates are 2023-01-02 for the RTX 4080 Mobile and 2024-04-15 for the RTX A1000. The RTX 4080 Mobile’s predecessor is GeForce 30 Mobile and successor is GeForce 50 Mobile; the RTX A1000’s predecessor is Quadro Turing and successor is Workstation Ada.

Where Each One Wins

The RTX 4080 Mobile wins in every measurable performance category. It dominates compute benchmarks, with a 206.4% lead in OpenCL and a 194.1% lead in Vulkan. Its raw specifications, higher shading unit count, more ray tracing cores, faster memory, and higher clock speeds, make it the superior choice for any GPU-intensive task, including gaming, 3D rendering, machine learning inference, and general-purpose compute. Its 12 GB memory capacity and 432.0 GB/s bandwidth also provide more headroom for large datasets and high-resolution textures.

The RTX A1000 wins in areas unrelated to raw performance. Its 50 W TDP is less than half of the RTX 4080 Mobile’s 110 W, making it significantly more power-efficient per watt. Its single-slot design and 163 mm length make it suitable for compact workstation chassis or servers where space is constrained. It draws power via the PCIe slot with no external power connectors, and its 4x mini-DisplayPort 1.4a outputs provide dedicated multi-display connectivity, whereas the RTX 4080 Mobile’s outputs are dependent on the portable device it is integrated into. The RTX A1000’s lower power draw also means a 250 W PSU is sufficient, simplifying system integration.

The Verdict

The verdict is clear: the NVIDIA GeForce RTX 4080 Mobile is the substantially more powerful GPU, and it is the correct choice for anyone prioritizing compute performance, gaming capability, or memory bandwidth. Its 206.4% OpenCL lead and 194.1% Vulkan lead over the RTX A1000 are decisive, and its 24.72 TFLOPS FP32 throughput versus 6.737 TFLOPS makes it nearly four times as fast in raw compute. Its 12 GB memory and 432.0 GB/s bandwidth also future-proof it for demanding workloads.

The NVIDIA RTX A1000 is the correct choice only when power consumption, physical size, or thermal constraints are paramount. Its 50 W TDP, single-slot profile, and compact dimensions make it ideal for embedded or low-profile workstation builds where the RTX 4080 Mobile’s 110 W TDP and IGP form factor may not fit. However, from a pure performance standpoint, the data shows no contest: the RTX 4080 Mobile wins both head-to-head benchmarks, holds a higher average score (38,135 versus 34,207), and sits in the 81st percentile versus the RTX A1000’s 79th. For any workload where speed matters, the RTX 4080 Mobile is the unequivocal winner.