NVIDIA RTX A500 Mobile vs NVIDIA T1000 Comparison

The NVIDIA RTX A500 Mobile and NVIDIA T1000 are both end-of-life professional mobile GPUs, but they represent two very different design philosophies from NVIDIA. The A500 Mobile is the newer, more power-efficient Ampere part, while the T1000 is a legacy Turing design with a wider memory bus. Benchmark data shows the A500 Mobile winning both head-to-head tests, but the nature of those wins and the underlying architecture reveal a more nuanced picture than a simple victory lap.

Where Each One Wins

The RTX A500 Mobile is the clear performance leader in the data provided, winning both the OpenCL and Vulkan benchmark disciplines. In the Geekbench OpenCL test, the A500 Mobile scores 41,263 points against the T1000’s 37,704, a decisive 9.4% advantage. The Vulkan test tells a similar story: the A500 Mobile posts 37,873 versus the T1000’s 34,874, an 8.6% lead. These are not marginal victories; they represent a consistent performance gap across different compute APIs.

However, the T1000 is not without its own areas of strength. Its 128-bit memory bus delivers 160.0 GB/s of bandwidth, a full 66.7% higher than the A500 Mobile’s 96.00 GB/s. For workloads that are heavily bandwidth-bound—such as certain types of texture streaming or large dataset manipulation—the T1000’s memory subsystem could theoretically narrow the gap, even if the synthetic benchmarks do not reflect this. The T1000 also has a higher base clock at 1,065 MHz versus 832 MHz, and a higher boost clock at 1,395 MHz versus 1,537 MHz for the A500 (note the A500 actually boosts higher). The T1000’s advantage is in sustained low-load scenarios where its higher base frequency keeps things moving without needing to ramp up.

The T1000 also wins on connectivity. It offers four mini-DisplayPort 1.4a outputs, while the A500 Mobile’s display outputs are listed as "Portable Device Dependent," meaning it relies entirely on the host laptop’s panel and external ports. For a workstation GPU meant to drive multiple monitors, the T1000 is the obvious choice. The data clearly shows the A500 Mobile winning raw compute, but the T1000 wins on memory bandwidth and multi-display capability.

Architecture Differences

The two GPUs are built on fundamentally different architectures and process nodes. The RTX A500 Mobile uses the GA107S chip built on Ampere architecture, fabricated on Samsung’s 8 nm process. It packs 8,700 million transistors into a 200 mm² die, yielding a transistor density of 43.5 million per square millimeter. The T1000, in contrast, uses the TU117 chip based on the older Turing architecture, built on TSMC’s 12 nm process. It contains 4,700 million transistors on the same 200 mm² die size, resulting in a density of just 23.5 million per square millimeter. The A500 Mobile crams nearly twice the transistors into the same physical space.

This transistor budget translates into a massive compute advantage for the A500 Mobile. It has 2,048 shading units, 64 TMUs, and 32 ROPs, alongside 16 dedicated ray tracing cores and 64 tensor cores. The T1000 has just 896 shading units and 56 TMUs, with the same 32 ROPs, but it has no ray tracing cores and no tensor cores at all. The A500 Mobile’s FP32 throughput is 6.296 TFLOPS, more than 2.5 times the T1000’s 2.500 TFLOPS. In FP16, the A500 Mobile again hits 6.296 TFLOPS (at a 1:1 ratio), while the T1000 reaches 5.000 TFLOPS (at a 2:1 ratio) — the A500 still wins, but by a narrower 25.9% margin.

Memory configuration also differs sharply. Both have 4 GB of GDDR6, but the A500 Mobile uses a 64-bit bus with 12 Gbps effective speed, yielding 96.00 GB/s. The T1000 uses a 128-bit bus at 10 Gbps effective, producing 160.0 GB/s. The A500 Mobile compensates for its narrower bus with faster memory clocks, but it cannot overcome the physical bus width disadvantage. The A500 Mobile also supports PCIe 4.0 x8, while the T1000 is limited to PCIe 3.0 x16. The T1000’s power envelope is higher at 50 W TDP versus 30 W for the A500 Mobile, and the T1000 requires a 250 W suggested PSU, whereas the A500 Mobile is an IGP with no power connectors.

The Verdict

The data points to a clear overall winner for compute-intensive workloads: the NVIDIA RTX A500 Mobile. It leads by 9.4% in OpenCL and 8.6% in Vulkan, and it offers a generational leap in architecture features with ray tracing and tensor cores. Its 82nd percentile ranking among all GPUs, compared to the T1000’s 80th, reinforces this position. Users running CUDA-accelerated tasks, machine learning inference, or any workload that benefits from tensor cores will find the A500 Mobile substantially faster.

However, the T1000 remains relevant for a specific niche. Its 160.0 GB/s memory bandwidth is a 66.7% advantage, which matters for bandwidth-sensitive applications that the Geekbench tests may not fully capture. Its four mini-DisplayPort outputs make it a superior choice for multi-monitor professional setups. The T1000 also has a lower base clock, but its higher memory bandwidth and PCIe 3.0 x16 interface (double the lanes of the A500’s PCIe 4.0 x8, though at a lower generation) could be beneficial for certain data-transfer-heavy workflows.

The verdict is straightforward: pick the RTX A500 Mobile for raw compute performance and modern features. Pick the T1000 if your work is memory-bound or requires driving multiple displays. The A500 Mobile wins the benchmark war, but the T1000 wins the connectivity and bandwidth battle.

FAQ

Q: Which GPU is faster in synthetic benchmarks?

A: The NVIDIA RTX A500 Mobile wins both head-to-head tests, scoring 41,263 in Geekbench OpenCL (9.4% ahead) and 37,873 in Geekbench Vulkan (8.6% ahead) versus the T1000’s 37,704 and 34,874 respectively.

Q: Do both GPUs support ray tracing?

A: No. The RTX A500 Mobile has 16 dedicated ray tracing cores, while the T1000 has none. The A500 Mobile also supports DirectX 12 Ultimate (12_2), whereas the T1000 is limited to DirectX 12 (12_1).

Q: How does memory bandwidth compare between the two?

A: The T1000 has a significant advantage with 160.0 GB/s bandwidth from its 128-bit bus, compared to the A500 Mobile’s 96.00 GB/s from a 64-bit bus. Both have 4 GB of GDDR6 memory.

Q: Which GPU is more power-efficient?

A: The RTX A500 Mobile has a 30 W TDP, while the T1000 has a 50 W TDP. The A500 Mobile also uses a more advanced 8 nm process from Samsung versus the T1000’s 12 nm TSMC process.

Q: Can the T1000 drive multiple monitors?

A: Yes, the T1000 has four mini-DisplayPort 1.4a outputs. The A500 Mobile’s display outputs are "Portable Device Dependent," meaning it has no fixed display outputs of its own.

Q: What are the transistor counts for each chip?

A: The RTX A500 Mobile’s GA107S chip contains 8,700 million transistors on a 200 mm² die. The T1000’s TU117 chip contains 4,700 million transistors on the same 200 mm² die size.

Head-to-Head Benchmarks

The most decisive benchmark win for the RTX A500 Mobile comes in Geekbench OpenCL, where it scores 41,263 against the T1000’s 37,704. That 9.4% delta is the largest margin in the head-to-head data. This result is consistent with the A500 Mobile’s massive compute advantage: 2,048 shading units versus 896, and 6.296 TFLOPS FP32 versus 2.500 TFLOPS. The A500 Mobile also has 64 tensor cores and 16 RT cores that the T1000 entirely lacks, which likely contributes to the OpenCL score’s magnitude.

The Vulkan benchmark shows a slightly tighter race, with the A500 Mobile scoring 37,873 and the T1000 scoring 34,874, a 8.6% delta. The narrower margin in Vulkan is interesting given that Vulkan is a lower-level API that can better expose hardware differences. The T1000’s higher memory bandwidth (160.0 GB/s) and its higher base clock (1,065 MHz versus 832 MHz) may help it in certain Vulkan workloads, even though it ultimately loses. The A500 Mobile’s boost clock is higher at 1,537 MHz versus 1,395 MHz, which likely gives it the edge in bursty workloads that the Vulkan test may emphasize.

The A500 Mobile’s 2-0 win record in head-to-head benchmarks is reinforced by its average benchmark score of 39,568, compared to the T1000’s 36,289. The A500 Mobile also sits at the 82nd percentile of all GPUs, while the T1000 is at the 80th. The nearest rivals for the A500 Mobile include the AMD Radeon Pro 575 (score 39,555, 0% delta) and the AMD Radeon Pro WX 7100 (score 40,063, -1.2% delta), placing it in a competitive mid-range bracket. The T1000’s nearest rivals are the AMD Radeon RX 5300M (score 36,529, -0.7% delta) and the NVIDIA GeForce GTX TITAN X (score 36,530, -0.7% delta), showing it competes with older high-end parts.

Every benchmark in the data set favors the A500 Mobile, but the margins tell the full story. The 9.4% OpenCL lead is substantial and reflects the architectural gulf between Ampere and Turing. The 8.6% Vulkan lead is also solid, but it is closer, suggesting that the T1000’s memory bandwidth and clock profile can partially compensate for its compute deficit in certain API contexts. For any user prioritizing raw compute, the A500 Mobile is the data-backed choice. For memory-bound or multi-display workloads, the T1000’s specifications offer a compelling counter-argument that the synthetic benchmarks do not fully capture.