Intel Arc A530M vs NVIDIA RTX A6000 Comparison

Intel Arc A530M and NVIDIA RTX A6000 represent two radically different interpretations of what a GPU should be: one is a mobile-first, efficiency-focused part from Intel’s Alchemist generation, while the other is a behemoth workstation card from NVIDIA’s Ampere era. The benchmark data shows a stark performance gulf, but the story is more nuanced than a simple scoreboard, as the architectural philosophies behind each chip explain why the gap exists and what each part is actually for.

Head-to-Head Benchmarks

The head-to-head results are unambiguous in their outcome, with the NVIDIA RTX A6000 securing wins in both available tests. In Geekbench OpenCL, the RTX A6000 scores 193,937 against the Arc A530M’s 49,735, a delta of -74.4% from the perspective of the Intel part. This means the NVIDIA card is roughly 3.9 times faster in raw compute throughput as measured by this workload, a margin that dwarfs almost any comparison in the mobile or desktop segment. The Vulkan test tells a similar tale: the RTX A6000 posts 164,462 while the Arc A530M manages 43,492, a -73.6% delta. Here, the NVIDIA card is about 3.8 times faster, showing that its advantage is not limited to a single API or compute style.

These are not close contests, and the data suggests that the Arc A530M is not competing in the same league as the RTX A6000. However, it is worth remembering the Arc A530M’s scores are not trivial in absolute terms. Its Geekbench OpenCL result of 49,735 places it in the 85th percentile of all GPUs, while the RTX A6000’s 193,937 OpenCL score only boosts it to the 84th percentile. This apparent paradox—a higher raw score but a lower percentile—indicates that the RTX A6000 is surrounded by other high-end parts (like the RTX 4090 Mobile and RTX 4070 Ti) that compress the percentile distribution at the top, whereas the Arc A530M benefits from a wider field of slower competitors below it.

Where Each One Wins

The data clearly designates the RTX A6000 as the winner in both head-to-head benchmarks, giving it a 2-0 record. The Arc A530M has zero wins in this comparison, which means there is no workload in the provided results where it takes the lead. This is not a situation where one card excels in compute and the other in graphics; both Geekbench OpenCL and Vulkan are general-purpose tests that stress the GPU across multiple subsystems, and the RTX A6000 dominates both.

For the RTX A6000, the wins are so decisive that they define its use case. A score of 193,937 in OpenCL suggests it is built for heavy parallel compute tasks—rendering, simulation, or machine learning training—where raw FP32 throughput and memory bandwidth are paramount. The Vulkan score of 164,462 reinforces this, indicating strong real-time graphics performance as well, likely suited for professional visualization or high-end content creation. The Arc A530M, by contrast, is not without merit; its scores place it in the top 15% of all GPUs, meaning it can handle mainstream gaming and light creative work. But in this head-to-head, it is outclassed to a degree that leaves no question about which part is the performance leader.

Architecture Differences

The underlying architectures explain the performance chasm. The Intel Arc A530M uses the DG2-256 chip built on Xe-HPG architecture, manufactured on a 6 nm process at TSMC. This chip packs 11,500 million transistors onto a 269 mm² die, yielding a transistor density of 42.8 million per square millimeter. In contrast, the NVIDIA RTX A6000 uses the GA102 chip on Ampere architecture, fabricated on an 8 nm process at Samsung. This is a much larger and more complex chip: 28,300 million transistors on a 628 mm² die, with a density of 45.1 million per square millimeter. The transistor counts alone are telling—the GA102 has nearly 2.5 times as many transistors as the DG2-256.

The memory subsystems are equally divergent. The Arc A530M features 8 GB of GDDR6 on a 128-bit bus, delivering 224.0 GB/s of bandwidth. The RTX A6000 offers 48 GB of GDDR6 on a 384-bit bus, with 768.0 GB/s of bandwidth—more than three times the capacity and bandwidth. This difference is critical for large datasets common in workstation workloads. The compute resources also scale dramatically: the Arc A530M has 1,536 shading units, 96 TMUs, and 48 ROPs, while the RTX A6000 has 10,752 shading units, 336 TMUs, and 112 ROPs. The RTX A6000 also brings 84 RT cores and 336 tensor cores, whereas the Arc A530M has 12 RT cores and no tensor cores listed.

Clock speeds and power envelopes tell another part of the story. The Arc A530M runs at a 900 MHz base and 1300 MHz boost, with a 65 W TDP, while the RTX A6000 runs at 1410 MHz base and 1800 MHz boost, with a 300 W TDP. The NVIDIA card is drawing nearly five times the power to achieve its higher clocks and massive compute throughput. The FP32 performance reflects this: the Arc A530M delivers 3.994 TFLOPS, while the RTX A6000 hits 38.71 TFLOPS—a near 10-fold advantage. The RTX A6000 also offers 1:1 FP16 performance at 38.71 TFLOPS, whereas the Arc A530M’s FP16 is halved at 7.987 TFLOPS.

FAQ

Q: Which GPU has higher raw compute performance in OpenCL?

A: The NVIDIA RTX A6000 scores 193,937 in Geekbench OpenCL, which is 74.4% higher than the Intel Arc A530M’s 49,735. This makes the RTX A6000 roughly 3.9 times faster in this specific test.

Q: How does memory capacity differ between the two?

A: The RTX A6000 has 48 GB of GDDR6 memory, while the Arc A530M has 8 GB. The RTX A6000 also has a wider 384-bit bus and 768.0 GB/s bandwidth, compared to the Arc’s 128-bit bus and 224.0 GB/s.

Q: Are there any benchmarks where the Arc A530M wins?

A: In the provided head-to-head data, the Arc A530M wins zero benchmarks. The RTX A6000 wins both Geekbench OpenCL and Vulkan tests.

Q: What is the transistor density of each chip?

A: The Arc A530M’s DG2-256 chip has a density of 42.8 million transistors per mm², while the RTX A6000’s GA102 has a density of 45.1 million per mm², despite being on a larger 8 nm process.

Q: How do the power requirements compare?

A: The Arc A530M has a 65 W TDP, whereas the RTX A6000 has a 300 W TDP. The RTX A6000 also requires a 700 W suggested PSU and an 8-pin EPS power connector.

Q: Which GPU has a higher percentile ranking among all GPUs?

A: The Arc A530M is in the 85th percentile, while the RTX A6000 is in the 84th percentile. Despite the RTX A6000’s higher raw scores, the Arc A530M ranks slightly higher due to the distribution of scores among other GPUs.

The Verdict

The data is clear: the NVIDIA RTX A6000 is the superior performer in every measured benchmark, with advantages ranging from 73.6% to 74.4% in the head-to-head tests. Its 38.71 TFLOPS of FP32 compute, 48 GB of memory, and 768.0 GB/s bandwidth make it an unambiguous choice for any workload that demands maximum throughput—be it scientific computing, high-end rendering, or large-scale data processing. The RTX A6000’s 84 RT cores and 336 tensor cores further cement its position for ray-traced visualization and AI-accelerated tasks.

The Intel Arc A530M, while outclassed here, is not a failure. Its 3.994 TFLOPS of FP32 and 8 GB of memory are modest by comparison, but its 65 W TDP and IGP slot width indicate a design goal of efficiency and integration. It is a part for thin-and-light laptops or compact systems where power and space are at a premium, and its 85th percentile ranking shows it can handle mainstream gaming and entry-level creative work without embarrassment. However, against the RTX A6000, it is simply out of its depth. Anyone needing the RTX A6000’s capabilities would find the Arc A530M insufficient, while anyone considering the Arc A530M for its mobility would find the RTX A6000’s dual-slot, 300 W form factor impractical.

Specification Differences

| Specification | Intel Arc A530M | NVIDIA RTX A6000 |

|---|---|---|

| Chip | DG2-256 | GA102 |

| Architecture | Xe-HPG | Ampere |

| Process Node | 6 nm | 8 nm |

| Foundry | TSMC | Samsung |

| Transistors | 11,500 million | 28,300 million |

| Die Size | 269 mm² | 628 mm² |

| Base Clock | 900 MHz | 1410 MHz |

| Boost Clock | 1300 MHz | 1800 MHz |

| Memory Size | 8 GB | 48 GB |

| Memory Bus | 128 bit | 384 bit |

| Memory Bandwidth | 224.0 GB/s | 768.0 GB/s |

| Shading Units | 1536 | 10752 |

| TMUs | 96 | 336 |

| ROPs | 48 | 112 |

| RT Cores | 12 | 84 |

| Tensor Cores | N/A | 336 |

| Pixel Rate | 62.40 GPixel/s | 201.6 GPixel/s |

| Texture Rate | 124.8 GTexel/s | 604.8 GTexel/s |

| FP32 Performance | 3.994 TFLOPS | 38.71 TFLOPS |

| FP16 Performance | 7.987 TFLOPS (2:1) | 38.71 TFLOPS (1:1) |

| TDP | 65 W | 300 W |

| Slot Width | IGP | Dual-slot |

| Power Connectors | N/A | 8-pin EPS |

| Suggested PSU | N/A | 700 W |

| Bus Interface | PCIe 4.0 x8 | PCIe 4.0 x16 |

| Display Outputs | Portable Device Dependent | 4x DisplayPort 1.4a |

| Production Status | Active | End-of-life |

| Release Date | 2023-07-31 | 2020-10-04 |

| Launch MSRP | N/A | 4,649 USD |