Intel Arc A530M vs NVIDIA A2 Comparison

Head-to-Head Benchmarks

The benchmark data is unambiguous: the Intel Arc A530M wins both recorded head-to-head tests against the NVIDIA A2, and it wins them by substantial margins. In the Geekbench OpenCL test, the Arc A530M scores 49,735 against the A2's 35,357, a 40.7% advantage. In the Geekbench Vulkan test, the Arc A530M posts 43,492 against 34,023, a 27.8% lead. The database records two wins for the Intel part and zero for the NVIDIA part.

These deltas are large enough to place the two cards in different performance tiers entirely. The Arc A530M's average benchmark score of 46,614 places it in the 85th percentile of all GPUs in the database. The A2's average of 34,690 lands in the 79th percentile. That six-point percentile gap understates the raw difference: the Arc A530M is roughly 34% faster than the A2 when comparing their average scores directly.

Context from the nearest rivals reinforces the gap. The Arc A530M sits within 0.2% of the AMD Radeon RX 6550M, and it edges the NVIDIA RTX A2000 by 1.2% and the NVIDIA RTX 5880 Ada Generation by 1.4%. It is effectively a peer of the RX 5600M, which trails by less than 0.1%. The NVIDIA A2, by contrast, sits within 0.4% of the NVIDIA T1000 8 GB, 0.4% of the AMD Radeon HD 7970, 1% of the NVIDIA TITAN V, and 1.4% of the NVIDIA RTX A1000. In short, the Arc A530M competes with modern midrange workstation and mobile GPUs, while the A2 competes with older or lower-end workstation parts.

The Vulkan result deserves special attention. Vulkan is a low-overhead API, and the 27.8% lead in that test shows the Arc A530M's advantage is not an artifact of a single driver path or compute workload. Both cards support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so the gap is not explained by missing API features. The architecture itself is delivering the extra performance.

Architecture Differences

The two GPUs come from different manufacturers, different foundries, and different architectural generations. The Intel Arc A530M uses the DG2-256 chip built on TSMC's 6 nm process, implementing Intel's Xe-HPG architecture. It belongs to the Alchemist generation, specifically the Arc 5 Mobile line. The NVIDIA A2 uses the GA107 chip built on Samsung's 8 nm process, implementing the Ampere architecture. It belongs to the Workstation Ampere (Ax000) generation.

The process node difference is significant: 6 nm versus 8 nm. Despite the smaller process, the Intel chip is physically larger. The DG2-256 die measures 269 mm² and packs 11,500 million transistors, for a density of 42.8 million transistors per square millimeter. The GA107 die measures 200 mm² and packs 8,700 million transistors, for a density of 43.5 million per square millimeter. The densities are nearly identical, which means the Arc A530M's size advantage comes from the larger die, not from denser packing.

Compute resources favor Intel in most categories. The Arc A530M has 1,536 shading units, 96 texture mapping units, and 48 raster operation units. The A2 has 1,280 shading units, 40 TMUs, and 32 ROPs. The Intel part also has 12 ray tracing cores versus 10 for NVIDIA. The one place NVIDIA pushes back is tensor cores: the A2 has 40 of them, while the Arc A530M lists none in the database. That is a meaningful feature divergence for workloads that rely on tensor operations.

Clock speeds tell the opposite story. The A2 runs at a 1,440 MHz base and 1,770 MHz boost, while the Arc A530M runs at 900 MHz base and 1,300 MHz boost. NVIDIA's clocks are 60% higher at base and 36% higher at boost. The Intel part compensates with more raw hardware and a wider execution fabric. Pixel rate favors Intel at 62.40 GPixel/s versus 56.64 GPixel/s, and texture rate heavily favors Intel at 124.8 GTexel/s versus 70.80 GTexel/s. FP32 compute is close: 3.994 TFLOPS for Intel versus 4.531 TFLOPS for NVIDIA. FP16 is where the architectures diverge sharply. The Arc A530M delivers 7.987 TFLOPS at a 2:1 ratio, while the A2 delivers 4.531 TFLOPS at a 1:1 ratio. Intel's FP16 throughput is 76% higher.

Where Each One Wins

The Intel Arc A530M wins in raw graphics performance, and the data shows it wins across both recorded API paths. For gaming, rendering, or any workload that stresses shading units, TMUs, and ROPs, the Arc A530M has the edge. Its texture rate of 124.8 GTexel/s is 76% higher than the A2's 70.80 GTexel/s, and its pixel rate of 62.40 GPixel/s is 10% higher. The FP16 advantage is also pronounced, making the Arc A530M the better choice for workloads that can use half-precision compute.

The NVIDIA A2 wins in specific deployment scenarios, though not in raw benchmark scores. It has 40 tensor cores, which the Arc A530M lacks entirely. That makes the A2 the only one of the two with dedicated hardware for tensor-based inference workloads. It also has 16 GB of memory versus 8 GB, doubling the capacity for large models or datasets. The A2 draws 60 W against the Arc A530M's 65 W, a modest efficiency edge. It is a single-slot card with no power connectors and a suggested PSU of 250 W, which makes it easier to slot into existing systems. Its base and boost clocks are much higher, which can help in latency-sensitive, lightly threaded scenarios.

The Arc A530M is an integrated, mobile-oriented part (the database lists its slot width as IGP), while the A2 is a standalone single-slot accelerator with no display outputs. For a desktop workstation needing a headless compute card with tensor support and large memory, the A2 has a purpose. For any workload where graphics throughput matters, the Arc A530M is the stronger part.

Specification Differences

The two cards differ in nearly every major specification category. The process node is 6 nm for Intel versus 8 nm for NVIDIA. The foundry is TSMC for Intel versus Samsung for NVIDIA. The chip is DG2-256 for Intel versus GA107 for NVIDIA. The architecture is Xe-HPG versus Ampere. The generation is Alchemist (Arc 5 Mobile) versus Workstation Ampere (Ax000).

Memory capacity differs: 8 GB for the Arc A530M versus 16 GB for the A2. Both use GDDR6 on a 128-bit bus, but the Intel part has higher memory clocks at 1750 MHz (14 Gbps effective) versus 1563 MHz (12.5 Gbps effective). That yields bandwidth of 224.0 GB/s for Intel versus 200.1 GB/s for NVIDIA, a 12% advantage for the Arc A530M.

Compute unit counts differ across the board. Intel has 1,536 shading units, 96 TMUs, 48 ROPs, and 12 ray tracing cores. NVIDIA has 1,280 shading units, 40 TMUs, 32 ROPs, and 10 ray tracing cores. NVIDIA uniquely has 40 tensor cores; Intel lists none. Clock speeds favor NVIDIA: 1440 MHz base and 1770 MHz boost versus 900 MHz base and 1300 MHz boost for Intel.

Power and physical design differ. The Arc A530M is rated at 65 W and listed as IGP slot width, with no power connectors specified and no suggested PSU. The A2 is rated at 60 W, single-slot, with no power connectors and a suggested PSU of 250 W. The bus interface is PCIe 4.0 x8 for both. Display outputs are "Portable Device Dependent" for Intel and "No outputs" for NVIDIA. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Production status and release timing differ. The Arc A530M is listed as Active and was released on 2023-07-31. The A2 is listed as End-of-life and was released on 2021-11-09. The A2's predecessor is Quadro Turing and its successor is Workstation Ada; the Arc A530M has no predecessor or successor listed. Neither card has a recorded launch MSRP.

FAQ

Q: Which card is faster in the recorded benchmarks?

A: The Intel Arc A530M wins both recorded tests. It leads by 40.7% in Geekbench OpenCL (49,735 versus 35,357) and by 27.8% in Geekbench Vulkan (43,492 versus 34,023).

Q: How do the average benchmark scores compare?

A: The Arc A530M has an average benchmark score of 46,614, placing it in the 85th percentile of all GPUs. The NVIDIA A2 has an average of 34,690, placing it in the 79th percentile.

Q: Does the NVIDIA A2 have any hardware advantage?

A: Yes. The A2 has 40 tensor cores, while the Arc A530M lists none. The A2 also has 16 GB of memory versus 8 GB for the Intel part.

Q: Which card has higher memory bandwidth?

A: The Intel Arc A530M. It delivers 224.0 GB/s from 14 Gbps effective GDDR6, while the A2 delivers 200.1 GB/s from 12.5 Gbps effective GDDR6.

Q: Are the API feature sets different?

A: No. Both cards support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the production status of each card?

A: The Intel Arc A530M is listed as Active with a release date of 2023-07-31. The NVIDIA A2 is listed as End-of-life with a release date of 2021-11-09.

The Verdict

The Intel Arc A530M is the faster GPU by every recorded benchmark. It wins OpenCL by 40.7%, Vulkan by 27.8%, and its average score is 34% higher. It also has more shading units, more TMUs, more ROPs, more ray tracing cores, higher pixel rate, higher texture rate, higher FP16 throughput, higher memory bandwidth, and a smaller process node. For any workload that stresses traditional graphics or compute throughput, the Arc A530M is the correct choice.

The NVIDIA A2 is the right pick only in specific circumstances. Its 40 tensor cores make it the only option here for tensor-based workloads. Its 16 GB memory capacity doubles the Intel part's 8 GB, which matters for memory-bound inference or large datasets. Its lower 60 W TDP, single-slot form factor, and lack of power connectors make it easier to deploy in constrained chassis. It is also the only one of the two with a suggested PSU rating (250 W) and a defined successor path.

But those advantages are narrow. The A2 loses in raw performance, and for most users the Arc A530M's 27.8% to 40.7% benchmark lead will outweigh the A2's tensor cores and memory capacity. The data is clear: pick the Arc A530M for graphics-heavy workloads, and only consider the A2 if tensor acceleration or 16 GB of memory is the primary requirement.