NVIDIA GeForce RTX 4080 Mobile vs NVIDIA T1000 Comparison

The NVIDIA GeForce RTX 4080 Mobile is in a different performance class than the NVIDIA T1000, delivering benchmark scores that are over four times higher in every direct comparison. The data shows a 323.2% lead in Geekbench OpenCL and a 318.1% lead in Geekbench Vulkan for the RTX 4080 Mobile, making it the clear choice for any workload where raw compute or graphics acceleration matters. The T1000, meanwhile, is a compact, low-power workstation part that trails massively in throughput but offers a distinct form factor and legacy compatibility profile.

Head-to-Head Benchmarks

The two GPUs were directly compared in two synthetic workloads, and the RTX 4080 Mobile won both outright. In Geekbench OpenCL, the RTX 4080 Mobile scored 159,575 against the T1000’s 37,704, a delta of 323.2%. This is not a marginal victory; it is a generational gap in raw compute throughput. The RTX 4080 Mobile’s FP32 performance of 24.72 TFLOPS versus the T1000’s 2.500 TFLOPS explains this chasm, as does the 7424 shading units versus 896.

In Geekbench Vulkan, the margin narrows slightly but remains enormous: the RTX 4080 Mobile scored 145,807 against the T1000’s 34,874, a 318.1% advantage. Vulkan is more driver- and geometry-bound than OpenCL, yet the RTX 4080 Mobile still dominates. The T1000’s lack of dedicated ray tracing and tensor cores means it cannot offload those specialized workloads, while the RTX 4080 Mobile’s 58 RT cores and 232 tensor cores provide hardware acceleration where the T1000 has none.

Looking at the broader benchmark landscape, the RTX 4080 Mobile’s average benchmark score is 38,135, while the T1000 sits at 36,289. That is only a 4.8% difference in aggregate, but this is misleading because the T1000 only has two benchmark entries in the data. The RTX 4080 Mobile has nine, including PassMark tests where it scores 24,926 in G3D and 11,191 in GPU compute. The T1000 has no such entries, so its average is computed from a narrower, less demanding set of tests. The head-to-head results are the only valid apples-to-apples comparison, and they are not close.

Architecture Differences

The RTX 4080 Mobile is built on the AD104 chip using the Ada Lovelace architecture, fabricated on a 5 nm process at TSMC. It packs 35,800 million transistors into a 294 mm² die, yielding a transistor density of 121.8M per mm². The T1000 uses the TU117 chip on the older Turing architecture, made on a 12 nm process, with 4,700 million transistors on a 200 mm² die, giving a density of 23.5M per mm². This node advantage alone explains much of the performance gap: the RTX 4080 Mobile has over 7.6 times the transistor count in only 1.47 times the die area.

The compute resources diverge sharply. The RTX 4080 Mobile features 7424 shading units, 232 TMUs, and 80 ROPs, alongside 58 RT cores and 232 tensor cores. The T1000 has 896 shading units, 56 TMUs, and 32 ROPs, with no RT cores and no tensor cores listed. This means the T1000 cannot hardware-accelerate ray tracing or AI inference, while the RTX 4080 Mobile is explicitly designed for both. The FP32 throughput tells the story: 24.72 TFLOPS versus 2.500 TFLOPS, a 9.89x difference. The FP16 rates also differ in nature: the RTX 4080 Mobile runs FP16 at 24.72 TFLOPS (1:1 ratio), while the T1000 runs at 5.000 TFLOPS (2:1 ratio), indicating the T1000 uses a half-rate path for FP16.

Memory architecture is another divider. The RTX 4080 Mobile has 12 GB of GDDR6 on a 192-bit bus, delivering 432.0 GB/s of bandwidth. The T1000 has 4 GB of GDDR6 on a 128-bit bus, yielding 160.0 GB/s. That is a 2.7x bandwidth advantage for the RTX 4080 Mobile, which is critical for texture-heavy scenes and large datasets. The RTX 4080 Mobile’s memory clocks at 2250 MHz (18 Gbps effective), while the T1000 runs at 1250 MHz (10 Gbps effective). Pixel and texture rates follow suit: the RTX 4080 Mobile outputs 133.2 GPixel/s and 386.3 GTexel/s, versus the T1000’s 44.64 GPixel/s and 78.12 GTexel/s.

FAQ

Q: Which GPU has higher raw compute performance?

A: The RTX 4080 Mobile. Its FP32 throughput is 24.72 TFLOPS versus 2.500 TFLOPS for the T1000, and it leads 323.2% in Geekbench OpenCL.

Q: Does the T1000 support ray tracing?

A: No. The T1000’s specifications list no RT cores, while the RTX 4080 Mobile includes 58 RT cores. The T1000 also lacks tensor cores, which the RTX 4080 Mobile provides in 232 units.

Q: How much memory bandwidth does each GPU have?

A: The RTX 4080 Mobile offers 432.0 GB/s over a 192-bit bus with 12 GB GDDR6. The T1000 provides 160.0 GB/s over a 128-bit bus with 4 GB GDDR6.

Q: Are both GPUs built on the same manufacturing process?

A: No. The RTX 4080 Mobile uses a 5 nm TSMC process, while the T1000 uses a 12 nm TSMC process. The RTX 4080 Mobile also has a much higher transistor density at 121.8M / mm² versus 23.5M / mm².

Q: Which GPU is more power-efficient?

A: The data shows the RTX 4080 Mobile has a TDP of 110 W, more than double the T1000’s 50 W. However, the RTX 4080 Mobile delivers over 300% higher benchmark scores, so its performance-per-watt is far superior.

Q: What is the PCIe interface difference?

A: The RTX 4080 Mobile uses PCIe 4.0 x16, while the T1000 uses PCIe 3.0 x16. This affects maximum data transfer speeds, though the benchmark impact depends on workload.

Specification Differences

The two GPUs differ in nearly every measurable hardware category. The chip and architecture are completely different: AD104 with Ada Lovelace versus TU117 with Turing. The process node is 5 nm versus 12 nm, and the transistor count is 35,800 million versus 4,700 million. Die size is 294 mm² versus 200 mm². Clock speeds are also apart: the RTX 4080 Mobile has a base of 1290 MHz and boost of 1665 MHz, while the T1000 runs at 1065 MHz base and 1395 MHz boost.

Memory specs diverge on size (12 GB vs 4 GB), bus width (192-bit vs 128-bit), bandwidth (432.0 GB/s vs 160.0 GB/s), and memory clock (2250 MHz vs 1250 MHz). The compute units are starkly different: 7424 vs 896 shading units, 232 vs 56 TMUs, 80 vs 32 ROPs, and the RTX 4080 Mobile’s 58 RT cores and 232 tensor cores have no counterpart in the T1000. The pixel rate is 133.2 GPixel/s versus 44.64 GPixel/s, and texture rate is 386.3 GTexel/s versus 78.12 GTexel/s. FP32 is 24.72 TFLOPS versus 2.500 TFLOPS, and FP16 is 24.72 TFLOPS (1:1) versus 5.000 TFLOPS (2:1).

Power and physical specs also differ. The RTX 4080 Mobile has a TDP of 110 W and is listed as an IGP (integrated graphics processor) with no slot width or power connectors. The T1000 has a 50 W TDP, is a single-slot card, and has no power connectors either, but lists a suggested PSU of 250 W. The T1000 is 156 mm long and 69 mm high, while the RTX 4080 Mobile has no listed dimensions. The bus interface is PCIe 4.0 x16 for the RTX 4080 Mobile and PCIe 3.0 x16 for the T1000. The T1000 has four mini-DisplayPort 1.4a outputs, while the RTX 4080 Mobile’s outputs are listed as "Portable Device Dependent." The T1000 supports DirectX 12 (12_1), while the RTX 4080 Mobile supports DirectX 12 Ultimate (12_2). Both support OpenGL 4.6 and Vulkan 1.4. Production status is "Active" for the RTX 4080 Mobile and "End-of-life" for the T1000, with release dates of 2023-01-02 and 2021-05-05, respectively.

The Verdict

The RTX 4080 Mobile is the superior GPU in every benchmark category where both were tested. It wins 2 direct comparisons against 0 for the T1000, with leads of 323.2% and 318.1%. Its architecture is newer, its process node is two generations ahead, and its memory subsystem is vastly larger and faster. The T1000’s only advantages are its lower 50 W TDP, smaller physical footprint as a single-slot card, and its four dedicated mini-DisplayPort outputs for multi-monitor setups. Data shows the RTX 4080 Mobile sits at the 81st percentile of all GPUs, while the T1000 is at the 80th percentile, but that near-parity is an artifact of the T1000 having only two benchmark entries.

For any workload that requires heavy compute, large memory capacity, or modern graphics features like ray tracing and tensor acceleration, the RTX 4080 Mobile is the only choice. The T1000’s 4 GB memory and 2.500 TFLOPS FP32 throughput are insufficient for contemporary 3D rendering, AI inference, or high-resolution gaming. The RTX 4080 Mobile’s 12 GB memory and 24.72 TFLOPS place it in a completely different tier. The T1000 is end-of-life, while the RTX 4080 Mobile is still active in production.

Where Each One Wins

The RTX 4080 Mobile wins in raw performance, memory capacity, and feature support. It is the pick for anyone running Geekbench OpenCL or Vulkan workloads, where it scores 159,575 and 145,807 respectively. Its 12 GB frame buffer supports larger textures and datasets than the T1000’s 4 GB. The 58 RT cores enable hardware ray tracing, and the 232 tensor cores accelerate AI tasks like DLSS and neural network inference. With 432.0 GB/s of bandwidth, it can feed those cores without bottlenecks. Its 110 W TDP is higher, but it delivers over four times the compute throughput, making it the performance-per-watt leader.

The T1000 wins in power efficiency and physical integration. Its 50 W TDP means it can be powered without additional connectors, and its single-slot 156 mm length fits in compact chassis. The four mini-DisplayPort 1.4a outputs are a concrete advantage for multi-monitor professional setups, which the RTX 4080 Mobile cannot match due to its "Portable Device Dependent" outputs. The T1000’s PCIe 3.0 x16 interface is older, but it remains compatible with legacy systems. Its 2.500 TFLOPS FP32 and 5.000 TFLOPS FP16 are modest, but for basic 2D desktop acceleration, legacy CAD, or as a low-profile display adapter, it suffices. The T1000 is also end-of-life, so it may be available at lower cost in the secondary market, though pricing is not part of this analysis. For new builds or demanding tasks, the RTX 4080 Mobile is the definitive winner.