NVIDIA RTX A1000 vs NVIDIA T1000 Comparison

The NVIDIA T1000 and NVIDIA RTX A1000 are both single-slot, 50 W workstation cards sharing a 128-bit memory bus and 32 ROPs, but they represent two distinct generations of NVIDIA’s professional lineup. The T1000, built on the Turing architecture, is an end-of-life product from 2021, while the RTX A1000 is an active Ampere-generation card released in 2024. Benchmark data shows the RTX A1000 leads in every head-to-head test, yet the T1000 holds a slightly higher percentile ranking among all GPUs, creating an interesting split between synthetic compute scores and overall market position.

Where Each One Wins

The RTX A1000 wins outright in both available direct comparisons. In Geekbench OpenCL, it scores 52078 against the T1000’s 37704, a 27.6% advantage. In Geekbench Vulkan, the margin is even larger: 49574 versus 34874, a 29.7% lead. These are the only two head-to-head benchmark results, and the RTX A1000 claims both, giving it a 2-0 record. For any workload that relies on general-purpose compute or Vulkan rendering, the data clearly favors the RTX A1000.

The T1000’s advantage is narrower but still visible in the aggregate statistics. Its average benchmark score is 36289, compared to the RTX A1000’s 34207. This is a 6.1% difference in the T1000’s favor. The T1000 also sits at the 80th percentile among all GPUs, one point above the RTX A1000’s 79th percentile. However, this seeming contradiction is explained by the fact that the RTX A1000’s average includes a 3DMark Steel Nomad DX12 score of 969, a test the T1000 does not appear in. When isolating the shared Geekbench tests, the RTX A1000 is consistently faster.

For raw FP32 throughput, the RTX A1000 delivers 6.737 TFLOPS against the T1000’s 2.500 TFLOPS, a 169.5% increase. Texture fill rate also favors the newer card: 105.3 GTexel/s versus 78.12 GTexel/s. The RTX A1000 additionally brings hardware ray tracing cores (18) and tensor cores (72), features entirely absent from the T1000. If a workload can use these dedicated units, the RTX A1000 is the only choice between the two.

FAQ

Q: Which card is faster in Geekbench OpenCL?

A: The NVIDIA RTX A1000 scores 52078, which is 27.6% higher than the NVIDIA T1000’s 37704.

Q: Does the NVIDIA T1000 win any benchmark comparison?

A: In the two shared tests, no. The T1000 loses both Geekbench OpenCL and Vulkan. However, its average benchmark score of 36289 is higher than the RTX A1000’s 34207, because the latter’s average includes a lower 3DMark Steel Nomad DX12 score of 969.

Q: What is the memory capacity difference?

A: The RTX A1000 has 8 GB of GDDR6 memory, twice the T1000’s 4 GB. Both use a 128-bit bus, but the RTX A1000’s bandwidth is 192.0 GB/s versus 160.0 GB/s for the T1000.

Q: Do both cards support ray tracing?

A: No. The RTX A1000 includes 18 RT cores and 72 tensor cores. The T1000 has neither, as its specifications for RT cores and tensor cores are null.

Q: Which card has a higher boost clock?

A: The T1000 boosts to 1395 MHz, while the RTX A1000 boosts to 1462 MHz. The T1000 has a higher base clock at 1065 MHz versus 727 MHz.

Q: Are both cards the same physical size?

A: Nearly. Both are single-slot with no power connectors and a height of 69 mm. The T1000 is 156 mm long (6.1 inches), while the RTX A1000 is 163 mm long (6.4 inches).

Head-to-Head Benchmarks

The Geekbench OpenCL test shows a decisive win for the RTX A1000. With a score of 52078, it outperforms the T1000’s 37704 by 27.6%. This is a substantial margin in a compute-oriented workload, reflecting the RTX A1000’s much higher shader count and FP32 throughput. The T1000’s 896 shading units are dwarfed by the RTX A1000’s 2304, and the latter’s 6.737 TFLOPS FP32 is nearly triple the former’s 2.500 TFLOPS. In practice, this means the RTX A1000 will complete OpenCL compute tasks in roughly three-quarters of the time.

The Vulkan test shows an even starker difference. The RTX A1000 scores 49574, beating the T1000’s 34874 by 29.7%. Vulkan workloads often stress geometry throughput and memory bandwidth alongside compute. The RTX A1000’s higher texture rate (105.3 GTexel/s) and memory bandwidth (192.0 GB/s) contribute to this result. The T1000’s 56 TMUs are also fewer than the RTX A1000’s 72, further widening the gap in fill-rate-limited scenarios.

The only benchmark where the T1000 does not lose is one it does not appear in. The RTX A1000 has a 3DMark Steel Nomad DX12 score of 969, a test absent from the T1000’s benchmark list. This single score drags the RTX A1000’s average down to 34207, below the T1000’s 36289. But the average is not a head-to-head metric; it is a composite across different test suites. The two shared tests both go to the RTX A1000, and the margin is consistent at roughly 28-30%.

The RTX A1000’s nearest rivals include the NVIDIA RTX A2000 12 GB (deltaPct 0.2) and the AMD Radeon RX 560 XT (deltaPct 0.2), placing it in a tight performance cluster. The T1000’s nearest rivals are the AMD Radeon RX 5300M (deltaPct -0.7) and NVIDIA GeForce GTX TITAN X (deltaPct -0.7), showing it trades blows with older high-end parts. These rival relationships confirm that the RTX A1000 is the stronger card in absolute compute terms, even if its percentile rank is one point lower.

Specification Differences

The most obvious difference is memory. The RTX A1000 has 8 GB of GDDR6, while the T1000 has 4 GB. Both use a 128-bit bus, but the RTX A1000’s memory runs at 1500 MHz (12 Gbps effective) yielding 192.0 GB/s, whereas the T1000’s memory runs at 1250 MHz (10 Gbps effective) yielding 160.0 GB/s. This gives the RTX A1000 20% more bandwidth and double the capacity.

The GPU core configuration is vastly different. The RTX A1000 has 2304 shading units, 72 TMUs, and 32 ROPs. The T1000 has 896 shading units, 56 TMUs, and 32 ROPs. The RTX A1000 also has 18 RT cores and 72 tensor cores; the T1000 has none. Pixel rate is nearly identical (46.78 GPixel/s versus 44.64 GPixel/s), but texture rate favors the RTX A1000 at 105.3 GTexel/s versus 78.12 GTexel/s. FP32 compute is 6.737 TFLOPS for the RTX A1000 and 2.500 TFLOPS for the T1000. FP16 is also different: the RTX A1000 achieves 6.737 TFLOPS (1:1 ratio), while the T1000 reaches 5.000 TFLOPS (2:1 ratio).

The process node differs significantly. The RTX A1000 uses Samsung’s 8 nm process with 8,700 million transistors on a 200 mm² die, yielding a density of 43.5M / mm². The T1000 uses TSMC’s 12 nm process with 4,700 million transistors on the same 200 mm² die, for a density of 23.5M / mm². The transistor count is 85% higher on the RTX A1000 despite identical die size.

The bus interface differs: the RTX A1000 uses PCIe 4.0 x8, while the T1000 uses PCIe 3.0 x16. Both cards have the same TDP (50 W), slot width (single-slot), power connector requirement (none), and suggested PSU (250 W). Display outputs are identical at 4x mini-DisplayPort 1.4a. Physical dimensions are close, but the RTX A1000 is 7 mm longer.

Architecture Differences

The T1000 is built on Turing, using the TU117 chip. The RTX A1000 uses the Ampere architecture with the GA107 chip. This generational leap brings several fundamental changes. The RTX A1000 includes dedicated ray tracing hardware in the form of 18 RT cores, a feature Turing’s TU117 lacks entirely. Similarly, the RTX A1000 has 72 tensor cores for AI and machine learning workloads, which the T1000 does not provide.

The FP16 compute path is a key architectural divergence. The RTX A1000 achieves FP16 performance at a 1:1 ratio with FP32 (both 6.737 TFLOPS), indicating native FP16 execution. The T1000’s FP16 is listed as 5.000 TFLOPS (2:1), meaning it uses a rate that is double its FP32 throughput, a characteristic of Turing’s consumer-oriented implementation. This makes the RTX A1000 more efficient for mixed-precision workloads.

The manufacturing process is another major architectural difference. The RTX A1000 is fabricated on Samsung’s 8 nm node, nearly doubling the transistor density from 23.5M / mm² to 43.5M / mm². This allows the RTX A1000 to pack 8,700 million transistors into the same 200 mm² die as the T1000’s 4,700 million. The result is a substantially more complex chip that still fits within the same 50 W power envelope.

DirectX support also differs. The RTX A1000 supports DirectX 12 Ultimate (12_2), while the T1000 supports DirectX 12 (12_1). This means the RTX A1000 can take advantage of the latest DX12 features, including hardware ray tracing and mesh shaders, while the T1000 is limited to an earlier feature level. OpenGL and Vulkan support are identical (4.6 and 1.4, respectively).

The production status reflects their market positions: the T1000 is end-of-life, while the RTX A1000 is active. The T1000’s predecessor is Quadro Volta and its successor is Workstation Ampere; the RTX A1000’s predecessor is Quadro Turing and its successor is Workstation Ada. Release dates are roughly three years apart, with the T1000 launching in May 2021 and the RTX A1000 in April 2024.