NVIDIA A2 vs NVIDIA RTX A5000 Comparison

The NVIDIA A2 and NVIDIA RTX A5000 are both workstation-class Ampere GPUs, yet the benchmark data reveals they occupy entirely different performance tiers. The A2 is a low-profile, power-efficient compute card, while the RTX A5000 is a full-scale rendering and compute powerhouse. The data shows a significant performance gulf between them, with the RTX A5000 dominating in every shared benchmark.

Head-to-Head Benchmarks

The head-to-head comparison is brief but decisive. In the Geekbench OpenCL test, the NVIDIA RTX A5000 scores 157,905, while the NVIDIA A2 manages just 35,357. This represents a deltaPct of -77.6% for the A2, meaning the RTX A5000 delivers more than four times the raw compute performance in this workload. The gap is stark and consistent.

The Vulkan results tell a similar story. The RTX A5000 posts a score of 137,828, compared to the A2’s 34,023. The deltaPct of -75.3% confirms that the RTX A5000 is roughly four times faster in this graphics API as well. While the A2’s average benchmark score of 34,690 places it in the 79th percentile of all GPUs, the RTX A5000’s average of 33,622 sits slightly lower at the 78th percentile, illustrating how average scores can mask massive differences in specific workloads.

The RTX A5000’s additional benchmark data provides a more complete picture of its capabilities. Its Passmark G3D score of 22,541 and GPU Compute score of 12,455 indicate strong performance in both rasterization and compute tasks. The 3DMark Steel Nomad DX12 score of 3,783 further reinforces its modern rendering prowess. In every measurable head-to-head category, the RTX A5000 wins decisively.

FAQ

Q: How much faster is the NVIDIA RTX A5000 in OpenCL compute?

A: The RTX A5000 scores 157,905 in Geekbench OpenCL, while the A2 scores 35,357. The RTX A5000 leads by a deltaPct of -77.6% from the A2’s perspective, making it over 4.4 times faster in this test.

Q: Which GPU has higher memory bandwidth?

A: The RTX A5000 has 768.0 GB/s of bandwidth from its 24 GB GDDR6 memory on a 384-bit bus. The A2 has 200.1 GB/s from its 16 GB GDDR6 memory on a 128-bit bus. The RTX A5000 offers nearly four times the bandwidth.

Q: Are these GPUs from the same architecture generation?

A: Yes, both are based on the Ampere architecture and belong to the “Workstation Ampere (Ax000)” generation. However, they use different chips: the A2 uses GA107, while the RTX A5000 uses GA102.

Q: What is the power consumption difference?

A: The A2 has a TDP of 60 W and requires no power connectors, while the RTX A5000 has a TDP of 230 W and requires a single 8-pin power connector. The suggested PSU rating is 250 W for the A2 and 550 W for the RTX A5000.

Q: Do both GPUs support the same APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The RTX A5000 also provides 4x DisplayPort 1.4a outputs, while the A2 has no display outputs at all.

Q: How does the RTX A5000 compare to its nearest rivals?

A: The RTX A5000’s average score of 33,622 is within 1.1% of the AMD Radeon RX 480 and within 0.2% of the NVIDIA GeForce GTX 1060 5 GB. This places it in the 78th percentile of all GPUs despite its dominant performance over the A2.

Architecture Differences

Both GPUs share the Ampere architecture, manufactured by Samsung on an 8 nm process, but their physical implementations diverge dramatically. The A2 uses the GA107 chip, which contains 8,700 million transistors on a 200 mm² die. The RTX A5000 uses the GA102 chip, packing 28,300 million transistors onto a 628 mm² die. This is more than three times the transistor count and die area.

The transistor density is similar, with the A2 at 43.5M / mm² and the RTX A5000 at 45.1M / mm², indicating that the performance difference comes from sheer scale rather than architectural efficiency improvements. The RTX A5000’s larger chip allows for 8,192 shading units, 256 TMUs, and 96 ROPs, compared to the A2’s 1,280 shading units, 40 TMUs, and 32 ROPs.

Ray tracing and tensor core counts follow the same pattern. The RTX A5000 has 64 RT cores and 256 tensor cores, while the A2 has just 10 RT cores and 40 tensor cores. This six-fold difference in specialized hardware explains why the RTX A5000 excels in modern workloads that leverage these features. The RTX A5000’s pixel rate of 162.7 GPixel/s and texture rate of 433.9 GTexel/s dwarf the A2’s 56.64 GPixel/s and 70.80 GTexel/s.

Specification Differences

The memory subsystem is a major differentiator. The RTX A5000 offers 24 GB of GDDR6 memory on a 384-bit bus, yielding 768.0 GB/s of bandwidth. The A2 offers 16 GB on a 128-bit bus, yielding just 200.1 GB/s. This 3.8x bandwidth advantage is critical for large datasets and high-resolution textures.

Clock speeds differ in an interesting way. The A2 has a higher base clock at 1440 MHz and boost clock at 1770 MHz, compared to the RTX A5000’s 1170 MHz base and 1695 MHz boost. However, the RTX A5000 compensates with far more cores, resulting in 27.77 TFLOPS of FP32 performance versus the A2’s 4.531 TFLOPS. The memory clock also favors the RTX A5000, running at 2000 MHz with 16 Gbps effective speed, compared to the A2’s 1563 MHz with 12.5 Gbps effective.

Physical and power specifications further separate them. The RTX A5000 is a dual-slot card measuring 267 mm in length and 112 mm in height, requiring a 230 W TDP and a 550 W suggested PSU. The A2 is a single-slot card with no length specified, drawing only 60 W with a 250 W suggested PSU. The RTX A5000 connects via PCIe 4.0 x16, while the A2 uses PCIe 4.0 x8. The RTX A5000 has 4x DisplayPort 1.4a outputs; the A2 has none.

Where Each One Wins

The RTX A5000 wins in every scenario that involves rendering, visualization, or heavy compute. Its 24 GB frame buffer and 768.0 GB/s bandwidth make it suitable for large 3D scenes, high-resolution textures, and data-intensive compute tasks. The 64 RT cores and 256 tensor cores provide acceleration for ray-traced rendering and AI inference. Its 4x DisplayPort 1.4a outputs enable multi-monitor workstations, something the A2 cannot offer. The RTX A5000’s 27.77 TFLOPS FP32 performance is over six times the A2’s, making it the clear choice for simulation, scientific computing, and content creation.

The A2 wins in scenarios where power efficiency and physical footprint are paramount. With a 60 W TDP and no power connectors, it can be installed in systems with minimal power headroom. Its single-slot design and lack of display outputs suggest it is intended for server-side compute or virtualization tasks where multiple cards are deployed. The A2’s 16 GB memory is still substantial, and its 4.531 TFLOPS FP32 performance is respectable for a card in this power class. Its nearest rivals include the NVIDIA T1000 8 GB, with a deltaPct of 0.4%, and the NVIDIA TITAN V, with a deltaPct of 1%, showing it competes with older or lower-tier GPUs.

The Verdict

The benchmark data is unambiguous. The NVIDIA RTX A5000 is the superior performer in every measured workload, offering over 4x the OpenCL and Vulkan scores of the NVIDIA A2. Its 27.77 TFLOPS FP32, 24 GB memory, and 768.0 GB/s bandwidth position it as a workstation-class GPU for demanding professional use. The A5000’s Passmark scores, including a G3D score of 22,541, further validate its capabilities in real-world graphics tasks.

The NVIDIA A2 is a specialized compute card for power-constrained environments. Its 60 W TDP and single-slot design make it ideal for dense server deployments where many GPUs must operate within a limited thermal and power envelope. The A2’s 16 GB memory is generous for its class, and its 4.531 TFLOPS FP32 performance is sufficient for moderate compute workloads.

Users who need to drive multiple high-resolution displays, render complex scenes, or train large models should choose the RTX A5000. Users who need low-power inference, virtualized GPU workloads, or headless compute in a small form factor should consider the A2. The RTX A5000’s 78th percentile ranking and nearest rivals like the RX 480 and GTX 1060 5 GB indicate it is a solid mid-range performer. The A2’s 79th percentile ranking and rivals like the T1000 and HD 7970 show it holds its own in its niche. The choice comes down to workload: raw performance versus efficiency.