NVIDIA RTX A1000 vs NVIDIA TITAN V Comparison

The NVIDIA TITAN V and NVIDIA RTX A1000 occupy the same percentile rank (79th) among all GPUs, yet their benchmark profiles could hardly be more divergent. The data reveals a generational clash: a 2017 flagship built for compute brute force against a 2024 workstation entry-point designed for efficiency. While their average benchmark scores are nearly identical (34355 vs 34207, a mere 0.4% gap), the head-to-head results tell a story of overwhelming dominance in one direction, with the TITAN V winning all three shared tests by margins exceeding 200%.

Head-to-Head Benchmarks

The TITAN V does not just beat the RTX A1000 in the 3DMark Steel Nomad DX12 test; it obliterates it. The TITAN V scores 3565 points against the A1000's 969, a delta of 267.9%. This is not a close contest; it is a landslide. The result suggests that in modern DirectX 12 workloads, the TITAN V's raw compute resources dwarf the A1000's capabilities. The A1000’s score is less than a third of the TITAN V’s, indicating that for any gaming or 3D rendering task leveraging DX12, the older card is in a completely different performance class.

The compute-oriented benchmarks reinforce this pattern. In Geekbench OpenCL, the TITAN V posts 157265 points versus the A1000's 52078, a 202% advantage. The Vulkan test shows a similar story: 152117 for the TITAN V against 49574 for the A1000, a 206.8% lead. These are not marginal wins; they are consistent, multi-fold advantages across different compute APIs. The A1000's nearest rivals in its own list include the RTX A2000 12 GB (0.2% ahead) and the AMD Radeon RX 560 XT (0.2% behind), placing it in a modest performance tier. The TITAN V, meanwhile, sits 0.4% ahead of the A1000 in average score but 267.9% ahead in the most demanding single test.

The data implies that the TITAN V’s performance is not just superior; it is categorically different. The A1000’s wins are zero, and its losses are by factors of three. This is not a balanced rivalry. It is a demonstration of how a high-end part from one era can still vastly outperform a low-end part from a newer generation in raw throughput, even when aggregate scores from other databases place them in the same percentile.

Architecture Differences

The architectural divide is stark and explains the benchmark chasm. The TITAN V uses the GV100 chip built on TSMC's 12 nm process, housing 21,100 million transistors on an 815 mm² die. The RTX A1000 uses the GA107 chip on Samsung's 8 nm node, with 8,700 million transistors on a 200 mm² die. The TITAN V’s die is over four times larger, and its transistor count is 2.4 times higher. This scale difference is the primary driver of its performance advantage.

The transistor density tells a different story about efficiency: the A1000 packs 43.5M transistors per mm², while the TITAN V achieves only 25.9M / mm². The newer 8 nm process allows the A1000 to be far denser, but the TITAN V compensates with sheer physical size. The memory subsystems are equally divergent. The TITAN V features 12 GB of HBM2 on a 3072-bit bus, delivering 651.3 GB/s of bandwidth. The A1000 has 8 GB of GDDR6 on a 128-bit bus, yielding 192.0 GB/s. The TITAN V’s memory bandwidth is 3.4 times higher, a critical factor for compute-heavy workloads.

Core counts amplify the disparity. The TITAN V has 5120 shading units, 320 TMUs, and 96 ROPs. The A1000 has 2304 shading units, 72 TMUs, and 32 ROPs. The TITAN V also features 640 tensor cores, while the A1000 has 72. The A1000 does include 18 RT cores, which the TITAN V lacks entirely, but this feature does not translate into a win in any shared benchmark. The FP32 throughput is 14.90 TFLOPS for the TITAN V versus 6.737 TFLOPS for the A1000. Notably, the TITAN V’s FP16 rate is 29.80 TFLOPS (2:1), while the A1000 achieves only 6.737 TFLOPS (1:1), meaning the TITAN V’s half-precision advantage is even more pronounced.

The power envelope is the counterpoint. The TITAN V draws 250 W and requires both a 6-pin and an 8-pin power connector, with a suggested 600 W PSU. The A1000 sips 50 W, needs no external power connectors, and runs off a 250 W PSU suggestion. This is a five-fold difference in power consumption, making the A1000 a far more accessible part for dense workstation builds.

The Verdict

The data is unambiguous: for performance, the NVIDIA TITAN V is the clear winner in every shared test. Its 267.9% lead in 3DMark Steel Nomad and 202-206.8% leads in Geekbench OpenCL and Vulkan leave no room for debate. Anyone prioritizing raw compute or 3D rendering performance should choose the TITAN V, provided they can accommodate its 250 W power draw and dual-slot size. The TITAN V’s 14.90 TFLOPS FP32 and 651.3 GB/s memory bandwidth are the numbers that matter for such workloads.

However, the RTX A1000 is not without merit. Its 50 W TDP, single-slot design, and lack of external power connectors make it a compelling option for systems where space and thermals are constrained. Its 8 nm process and 43.5M / mm² density show a modern efficiency that the TITAN V cannot match. The A1000 also supports DirectX 12 Ultimate (12_2), while the TITAN V only reaches DirectX 12 (12_1). For users who need a low-profile, low-power GPU for basic workstation tasks or multi-GPU setups without power headroom, the A1000 is the logical pick. The choice is not about which is better overall; it is about which fits the deployment scenario.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA TITAN V has an average benchmark score of 34355, which is 0.4% higher than the RTX A1000's 34207. This puts them in the same 79th percentile, but the margin is negligible.

Q: How much faster is the TITAN V in the 3DMark Steel Nomad test?

A: The TITAN V scores 3565 compared to the A1000's 969, resulting in a 267.9% performance advantage for the TITAN V.

Q: Does the RTX A1000 have any architectural feature the TITAN V lacks?

A: Yes, the A1000 includes 18 RT cores for ray tracing, which the TITAN V does not have. The A1000 also supports DirectX 12 Ultimate (12_2), while the TITAN V is limited to DirectX 12 (12_1).

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

A: The TITAN V has a memory bandwidth of 651.3 GB/s using HBM2 on a 3072-bit bus, while the A1000 has 192.0 GB/s using GDDR6 on a 128-bit bus. The TITAN V's bandwidth is 3.4 times higher.

Q: What is the power consumption difference?

A: The TITAN V has a 250 W TDP and requires a 600 W suggested PSU, while the A1000 has a 50 W TDP and a 250 W suggested PSU. The A1000 needs no external power connectors.

Q: Which GPU has a higher transistor density?

A: The RTX A1000 has a transistor density of 43.5M / mm² on its 8 nm process, while the TITAN V has 25.9M / mm² on its 12 nm process. The A1000 is denser despite having fewer total transistors.

Where Each One Wins

The TITAN V wins in all performance-critical categories. Its 267.9% lead in 3DMark Steel Nomad makes it the clear choice for DirectX 12 gaming and 3D rendering. Its 202% lead in Geekbench OpenCL and 206.8% lead in Vulkan show dominance in general-purpose compute and cross-platform graphics APIs. The TITAN V’s 14.90 TFLOPS FP32 and 29.80 TFLOPS FP16 performance, combined with 651.3 GB/s memory bandwidth, make it suitable for heavy simulation, machine learning inference, and high-resolution texture workloads. Its 5120 shading units and 640 tensor cores provide the parallel throughput needed for these tasks.

The RTX A1000 wins in efficiency and deployment flexibility. Its 50 W TDP and single-slot design allow it to fit into compact workstations or servers where the TITAN V’s 250 W draw and dual-slot footprint are prohibitive. The A1000’s PCIe 4.0 x8 interface is newer than the TITAN V’s PCIe 3.0 x16, offering higher per-lane bandwidth. Its 4x mini-DisplayPort 1.4a outputs support multi-monitor setups, and its lack of external power connectors simplifies installation. For tasks like basic CAD, office productivity, or as a display adapter in a compute server, the A1000 is the practical winner. The A1000’s 18 RT cores also make it the only option for ray-traced workloads, though no benchmark in the data confirms a performance advantage there.

Specification Differences

The two GPUs differ in nearly every measurable specification. The process node is 12 nm for the TITAN V versus 8 nm for the A1000, with different foundries (TSMC vs Samsung). The TITAN V has 21,100 million transistors on an 815 mm² die, while the A1000 has 8,700 million transistors on a 200 mm² die. The TITAN V’s base clock is 1200 MHz with a boost of 1455 MHz; the A1000 has a lower base of 727 MHz but a similar boost of 1462 MHz. Memory configurations differ entirely: 12 GB HBM2 on a 3072-bit bus versus 8 GB GDDR6 on a 128-bit bus, with bandwidths of 651.3 GB/s and 192.0 GB/s, respectively.

The core architecture is also distinct. The TITAN V has 5120 shading units, 320 TMUs, 96 ROPs, and 640 tensor cores, with no RT cores. The A1000 has 2304 shading units, 72 TMUs, 32 ROPs, 72 tensor cores, and 18 RT cores. The TITAN V’s pixel rate is 139.7 GPixel/s versus 46.78 GPixel/s for the A1000, and its texture rate is 465.6 GTexel/s versus 105.3 GTexel/s. FP32 performance is 14.90 TFLOPS versus 6.737 TFLOPS, and FP16 performance is 29.80 TFLOPS (2:1) versus 6.737 TFLOPS (1:1). Power requirements are 250 W versus 50 W, with the TITAN V needing a 600 W PSU and the A1000 a 250 W PSU. The TITAN V is dual-slot with 1x HDMI 2.0 and 3x DisplayPort 1.4a, while the A1000 is single-slot with 4x mini-DisplayPort 1.4a. The TITAN V uses PCIe 3.0 x16, while the A1000 uses PCIe 4.0 x8. The TITAN V’s production status is end-of-life, while the A1000 is active.