NVIDIA RTX A5000 Mobile

The NVIDIA RTX A5000 Mobile is an end-of-life Ampere-generation professional laptop GPU built for workstation-class graphics. Based on the GA104 chip on Samsung’s 8 nm process, it packs 6,144 shading units, 192 texture mapping units, and 96 ROPs, along with 48 RT cores and 192 tensor cores. With a base clock of 900 MHz and a boost of 1575 MHz, it delivers 19.35 TFLOPS of FP32 compute. The data shows it sits at the 68th percentile of all GPUs, with an average benchmark score of 24,763. Its performance profile places it in a tight cluster of competing mobile and desktop parts, where small percentage deltas separate it from its nearest rivals.

How It Compares

The closest competitor in the database is the AMD Radeon RX 5700 XT, which scores 24,731 on average. The RTX A5000 Mobile’s average score of 24,763 is a mere 0.1% higher, indicating statistical parity. In practical terms, the two GPUs deliver near-identical aggregate benchmark results, though the A5000 Mobile brings professional features like 16 GB of VRAM and RT cores that the Radeon lacks. The data suggests that in raw compute-heavy workloads, users will see no meaningful difference between the two.

Next is the Intel Arc A350M, with an average score of 24,647. The RTX A5000 Mobile leads by 0.5%, a small but consistent margin. Given that the Arc A350M is a low-power entry-level mobile part, the fact that it nearly matches the A5000 Mobile in average benchmarks is striking. However, the A5000 Mobile’s advantage in memory bandwidth (448.0 GB/s vs. the Arc’s narrower bus) and its professional driver support likely matter more in sustained workstation tasks than in synthetic averages.

The NVIDIA GeForce RTX 5060 Mobile scores 24,592, putting the A5000 Mobile ahead by 0.7%. This is a generational gap: the RTX 5060 Mobile is a newer, consumer-oriented part, yet the older professional GPU still edges it out in aggregate benchmarks. The A5000 Mobile’s 16 GB VRAM and 256-bit bus give it a capacity and bandwidth advantage, while the RTX 5060 Mobile likely wins on raw clock speeds and architectural efficiency. The delta is small enough that real-world application choice will determine the winner.

Finally, the NVIDIA Quadro RTX 5000, a predecessor in the professional lineup, scores 24,519. The A5000 Mobile is 1.0% faster, confirming a modest generational improvement. Both share the Ampere and Turing architectures respectively, but the A5000 Mobile benefits from a higher transistor count (17,400 million vs. older designs) and faster memory. The 1% lead is consistent across the benchmark suite, indicating that the A5000 Mobile is a clear, if incremental, upgrade over the Quadro RTX 5000.

Who Should Consider It

Benchmark results indicate that the RTX A5000 Mobile is best suited for users who need professional-grade graphics acceleration in a laptop, particularly for tasks that leverage large frame buffers. With 16 GB of GDDR6 memory and a 256-bit bus delivering 448.0 GB/s of bandwidth, this GPU is built for high-resolution textures and complex 3D scenes. At 1080p and 1440p, the A5000 Mobile’s 19.35 TFLOPS of FP32 compute and 151.2 GPixel/s pixel rate will handle most modern workloads with ease, though its performance at 4K will depend on the specific application’s memory and compute demands.

Users working with real-time ray tracing should note the presence of 48 RT cores, which provide hardware acceleration for DirectX 12 Ultimate (12_2) workloads. Similarly, the 192 tensor cores enable AI-accelerated features like DLSS in supported titles. However, given its 150 W TDP and end-of-life status, this is not a GPU for gamers seeking the latest features; it is a workstation part. The data shows it competes with mid-range desktop GPUs like the RX 5700 XT, so it is appropriate for mobile workstations where desktop-class performance is needed without the power draw of a full desktop rig.

For high-resolution rendering or machine learning inference, the 16 GB VRAM is the key differentiator. It allows larger models and textures to reside in memory without spilling to system RAM. At 4K, the bandwidth of 448.0 GB/s is sufficient to feed the shading units, but users should expect the GPU to be compute-bound rather than memory-bound in most scenarios. The PassMark DirectX 12 score of 72 is notably lower than the DirectX 11 score of 133, suggesting that the GPU’s performance in the latest API may be driver-limited or that the benchmark itself is not fully optimized for this architecture.

Benchmark Performance

The average benchmark score of 24,763 places the RTX A5000 Mobile in a tight grouping with its rivals, where the largest gap is just 1.0%. In Geekbench OpenCL, it scores 110,877, a strong result that reflects its compute throughput. The Vulkan score of 88,144 is lower, indicating that the GPU’s performance in cross-platform graphics APIs is less impressive than in OpenCL compute. This disparity suggests that the A5000 Mobile is optimized for compute-heavy professional workloads rather than gaming-oriented APIs.

PassMark results show a mixed picture. The DirectX 9 score of 169 is the highest of the DirectX tests, while DirectX 12 drops to 72. This is a significant regression and points to potential driver issues or architectural limitations in handling modern API features. The DirectX 10 and 11 scores of 115 and 133 respectively show a more linear progression. The GPU compute score of 6,945 is moderate, while the G3D score of 15,779 is respectable. The G2D score of 629 is low, but that is expected for a discrete GPU that relies on the host CPU for 2D operations.

Compared to the AMD RX 5700 XT, the A5000 Mobile’s 0.1% lead is negligible, meaning the two are interchangeable in raw performance. Against the Intel Arc A350M, the 0.5% advantage is consistent but small, suggesting that the A5000 Mobile does not offer a meaningful performance uplift in synthetic benchmarks. The 0.7% lead over the RTX 5060 Mobile is more notable given the generational gap, but still within the margin of error for many workloads. The 1.0% lead over the Quadro RTX 5000 confirms that the A5000 Mobile is a modest upgrade, not a revolutionary one.

FAQ

Q: What is the average benchmark score of the RTX A5000 Mobile?

A: The average benchmark score is 24,763, which places it at the 68th percentile of all GPUs.

Q: How does it compare to the NVIDIA Quadro RTX 5000?

A: The RTX A5000 Mobile is 1.0% faster than the Quadro RTX 5000, which scores 24,519 on average.

Q: What is the memory configuration?

A: It has 16 GB of GDDR6 memory on a 256-bit bus, providing 448.0 GB/s of bandwidth.

Q: Does it support hardware ray tracing?

A: Yes, it has 48 RT cores and supports DirectX 12 Ultimate (12_2), which includes ray tracing features.

Q: What is the FP32 compute performance?

A: The GPU delivers 19.35 TFLOPS of FP32 compute, with the same 19.35 TFLOPS for FP16 (1:1).

Q: Is this GPU still in production?

A: No, the production status is listed as end-of-life, and it was released on April 11, 2021.

Memory Subsystem

The RTX A5000 Mobile is equipped with 16 GB of GDDR6 memory, a substantial capacity for a mobile workstation GPU. The memory operates at 1750 MHz, which translates to 14 Gbps effective, and is interfaced via a 256-bit bus. This configuration yields a total bandwidth of 448.0 GB/s, a figure that is competitive with many desktop GPUs of its era. For high-resolution workloads, this bandwidth is critical: at 4K, the GPU must move large amounts of texture and geometry data, and the 256-bit bus ensures that the shading units are fed without bottlenecks.

The 16 GB capacity is particularly valuable for AI inference and large 3D scenes, where datasets often exceed 8 GB. With 192 tensor cores, the GPU can accelerate FP16 compute at the same rate as FP32, making it suitable for mixed-precision workloads. The memory bandwidth of 448.0 GB/s is sufficient to support the 302.4 GTexel/s texture rate and the 151.2 GPixel/s pixel rate, meaning the GPU is unlikely to be memory-starved in most applications. However, the end-of-life status suggests that newer GPUs with faster memory and higher bandwidth have since surpassed it, but within its own generation, the memory subsystem is well-balanced for the compute power on offer.