Intel Arc A530M vs NVIDIA RTX A500 Mobile Comparison

The Verdict

The data presents a clear performance hierarchy between these two mobile workstation GPUs. The Intel Arc A530M wins both head-to-head benchmark comparisons, taking the Geekbench OpenCL test with a score of 49,735 against the NVIDIA RTX A500 Mobile’s 41,263, a 20.5% advantage. In the Vulkan test, the Intel part scores 43,492 versus 37,873 for NVIDIA, a 14.8% lead. The Arc A530M also holds a higher average benchmark score of 46,614 compared to 39,568 for the RTX A500 Mobile, placing it at the 85th percentile of all GPUs versus the 82nd percentile for NVIDIA.

The verdict from the data is straightforward: any workload that relies on raw compute throughput will favor the Intel Arc A530M. However, the NVIDIA RTX A500 Mobile is not without merit. It draws a 30 W TDP versus 65 W for the Intel part, which means it generates less heat and demands less power. For thin-and-light mobile workstations where battery life and thermal headroom are critical, the RTX A500 Mobile offers a more efficient package. The data shows Intel wins on performance, but NVIDIA wins on efficiency.

Pick the Intel Arc A530M if your priority is maximum compute performance in the OpenCL and Vulkan APIs. The 20.5% and 14.8% wins are substantial and will translate to faster rendering and compute tasks. Pick the NVIDIA RTX A500 Mobile if you need a lower-power solution that still provides respectable performance. The 30 W TDP makes it suitable for systems where the 65 W Intel part would be impractical. The Intel part is the performance pick; the NVIDIA part is the efficiency pick.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The Intel Arc A530M has an average benchmark score of 46,614, while the NVIDIA RTX A500 Mobile scores 39,568. This gives Intel a 17.8% advantage in average performance.

Q: How large is the performance gap in the OpenCL benchmark?

A: The Intel Arc A530M scores 49,735 in Geekbench OpenCL, while the NVIDIA RTX A500 Mobile scores 41,263. The Intel part wins by 20.5%.

Q: Does the NVIDIA RTX A500 Mobile win any head-to-head benchmark?

A: No. The head-to-head data includes two tests, Geekbench OpenCL and Geekbench Vulkan. The Intel Arc A530M wins both, with the Vulkan margin being 14.8% (43,492 vs 37,873).

Q: How do the power requirements differ between the two cards?

A: The Intel Arc A530M has a 65 W TDP, while the NVIDIA RTX A500 Mobile has a 30 W TDP. The NVIDIA part consumes 35 W less power.

Q: What is the production status of each GPU?

A: The Intel Arc A530M is listed as "Active" production status. The NVIDIA RTX A500 Mobile is listed as "End-of-life" production status.

Q: Which GPU has a higher transistor density?

A: The NVIDIA RTX A500 Mobile has a transistor density of 43.5M per mm², while the Intel Arc A530M has 42.8M per mm². The difference is 0.7M per mm², favoring NVIDIA.

Architecture Differences

The two GPUs come from entirely different architectural lineages. The Intel Arc A530M uses the Xe-HPG architecture on the DG2-256 chip, belonging to the Alchemist generation for Arc 5 Mobile. It is fabricated on a 6 nm process at TSMC with 11,500 million transistors on a 269 mm² die. The NVIDIA RTX A500 Mobile uses the Ampere architecture on the GA107S chip, belonging to the Ampere-MW generation for the Ax000 series. It is fabricated on an 8 nm process at Samsung with 8,700 million transistors on a 200 mm² die.

The transistor density tells an interesting story. Despite the older 8 nm node, NVIDIA achieves a slightly higher density of 43.5M transistors per mm² compared to Intel’s 42.8M per mm² on 6 nm. This is a marginal difference of 0.7M per mm², but it shows that NVIDIA’s smaller chip is packing transistors nearly as densely as Intel’s more advanced node.

Architecturally, the Intel part has 1,536 shading units, 96 texture mapping units, 48 render output units, and 12 ray tracing cores. The NVIDIA part has 2,048 shading units, 64 TMUs, 32 ROPs, 16 ray tracing cores, and 64 tensor cores. NVIDIA has more shading units and ray tracing cores, but fewer TMUs and ROPs. The tensor cores on NVIDIA are a significant architectural difference; the Intel part has no tensor cores listed. This means NVIDIA has dedicated hardware for AI and deep learning workloads that Intel lacks entirely.

The NVIDIA part also features a 1:1 FP16 to FP32 ratio, delivering 6.296 TFLOPS for both precisions. The Intel part delivers 7.987 TFLOPS FP16 using a 2:1 ratio, meaning its FP16 throughput is double its FP32 rate. This is a fundamental design difference: NVIDIA treats FP16 and FP32 equally, while Intel accelerates FP16 at the expense of FP32 throughput.

Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. They both use a PCIe 4.0 x8 bus interface and have portable device dependent display outputs. Both are integrated into mobile packages with an IGP slot width.

Specification Differences

The specification sheets reveal substantial differences across nearly every major category. The Intel Arc A530M has 8 GB of GDDR6 memory on a 128-bit bus, yielding 224.0 GB/s of bandwidth. The NVIDIA RTX A500 Mobile has 4 GB of GDDR6 memory on a 64-bit bus, yielding 96.00 GB/s of bandwidth. The Intel part has double the memory capacity, double the bus width, and 2.33 times the memory bandwidth.

Clock speeds differ significantly. The Intel part runs at a 900 MHz base clock and 1300 MHz boost clock. The NVIDIA part runs at 832 MHz base and 1537 MHz boost. While NVIDIA has a higher boost clock by 237 MHz, the Intel part has a higher base clock by 68 MHz. Memory clocks also differ: Intel runs at 1750 MHz with 14 Gbps effective, while NVIDIA runs at 1500 MHz with 12 Gbps effective.

Compute throughput favors NVIDIA in raw FP32. The NVIDIA part delivers 6.296 TFLOPS FP32 versus 3.994 TFLOPS for Intel, a 57.6% advantage for NVIDIA. However, Intel wins in FP16 with 7.987 TFLOPS versus 6.296 TFLOPS for NVIDIA, a 26.9% lead. Pixel and texture rates favor Intel: 62.40 GPixel/s versus 49.18 GPixel/s, and 124.8 GTexel/s versus 98.37 GTexel/s.

The TDP difference is stark: 65 W for Intel versus 30 W for NVIDIA. The NVIDIA part has no power connectors listed, while Intel has none listed either. The NVIDIA part is end-of-life with a predecessor of Quadro Turing-M and a successor of Ada-MW. The Intel part is active with no predecessor or successor listed. The Intel part was released on 2023-07-31, while the NVIDIA part was released on 2022-03-21.

Head-to-Head Benchmarks

The head-to-head data consists of two Geekbench tests: OpenCL and Vulkan. The Intel Arc A530M wins both. In Geekbench OpenCL, Intel scores 49,735 against NVIDIA’s 41,263. This is a 20.5% delta in favor of Intel. In Geekbench Vulkan, Intel scores 43,492 against NVIDIA’s 37,873, a 14.8% delta.

These results are consistent with the average benchmark scores. The Intel part averages 46,614, which is 17.8% higher than NVIDIA’s 39,568 average. The Intel part’s percentile ranking of 85 versus 82 for NVIDIA reflects this across the broader GPU landscape.

Looking at the nearest rivals provides context. The Intel Arc A530M sits next to the AMD Radeon RX 5600M at 46,601 (0% delta), the AMD Radeon RX 6550M at 46,702 (-0.2% delta), the NVIDIA RTX A2000 at 46,043 (1.2% delta), and the NVIDIA RTX 5880 Ada Generation at 45,972 (1.4% delta). The Intel part effectively trades blows with these cards, all within a 1.4% window. The NVIDIA RTX A500 Mobile sits next to the AMD Radeon Pro 575 at 39,555 (0% delta), the AMD Radeon Pro 575X at 39,116 (1.2% delta), the AMD Radeon Pro WX 7100 at 40,063 (-1.2% delta), and the AMD Radeon Pro 580 at 40,318 (-1.9% delta). The NVIDIA part is similarly clustered, but at a lower performance tier.

The benchmark results show that while NVIDIA has a higher FP32 theoretical throughput (6.296 TFLOPS vs 3.994 TFLOPS), the Intel part still wins real-world OpenCL and Vulkan tests. This suggests that memory bandwidth, memory capacity, and other factors play a significant role. The Intel part’s 224.0 GB/s bandwidth versus 96.00 GB/s for NVIDIA likely helps it in memory-bound workloads. The 8 GB versus 4 GB memory capacity also allows Intel to handle larger datasets without spilling to system memory.

Where Each One Wins

The Intel Arc A530M wins in raw compute performance as measured by both OpenCL and Vulkan. The 20.5% OpenCL lead and 14.8% Vulkan lead make it the clear choice for applications that leverage these APIs. The higher memory bandwidth of 224.0 GB/s and larger 8 GB frame buffer give it an edge in large texture sets, high-resolution rendering, and data-heavy compute tasks. Its higher pixel rate of 62.40 GPixel/s and texture rate of 124.8 GTexel/s also suggest stronger rasterization throughput.

The NVIDIA RTX A500 Mobile wins in power efficiency. At 30 W versus 65 W, it consumes 53.8% less power. This makes it suitable for compact mobile workstations where thermal management is a constraint. The higher FP32 throughput of 6.296 TFLOPS versus 3.994 TFLOPS indicates it has theoretical advantage in FP32-heavy workloads, even though the benchmark results do not reflect this advantage. The 64 tensor cores provide dedicated hardware for AI inference and training, which the Intel part lacks entirely. The higher boost clock of 1537 MHz versus 1300 MHz also helps in bursty workloads that are not memory-bound.

The transistor density of 43.5M per mm² for NVIDIA versus 42.8M per mm² for Intel shows that NVIDIA packs slightly more compute per area, which may contribute to its efficiency. The 8 nm Samsung process, while less advanced than Intel’s 6 nm TSMC process, still achieves comparable density.

For users running FP16 workloads, the Intel part’s 7.987 TFLOPS versus NVIDIA’s 6.296 TFLOPS gives it a 26.9% advantage. This is relevant for applications that leverage half-precision arithmetic. For users running FP32 workloads, the NVIDIA part’s theoretical advantage is 57.6%, but the benchmark data does not confirm this advantage in practice.

The production status is another differentiator. The Intel part is active, while the NVIDIA part is end-of-life. This means Intel is likely to receive ongoing support and driver updates, while NVIDIA has moved on to its Ada-MW successor. The Intel part is also newer, with a release date of 2023-07-31 versus 2022-03-21 for NVIDIA.

In summary, the Intel Arc A530M is the performance leader in the tested benchmarks, winning both head-to-head tests with double-digit margins. It offers more memory, more bandwidth, and higher throughput in both pixel and texture rates. The NVIDIA RTX A500 Mobile is the efficiency leader, consuming less than half the power while offering tensor cores and higher FP32 theoretical throughput. The choice depends on whether performance or efficiency is the primary requirement.