GPU Comparison

Intel's Arc A570M is a mobile-first integrated graphics processor built on the 6 nm Xe-HPG architecture, while NVIDIA's GeForce RTX 4080 SUPER is a desktop flagship based on the 5 nm Ada Lovelace architecture. The benchmark data reveals a stark performance gulf between the two, with the RTX 4080 SUPER dominating the only shared test, but the comparison extends far beyond raw compute to encompass architecture, memory, and target market.

Head-to-Head Benchmarks

The single head-to-head benchmark available is Geekbench OpenCL, and the result is a decisive victory for the NVIDIA GeForce RTX 4080 SUPER. The RTX 4080 SUPER scores 219,065 points, while the Intel Arc A570M manages 58,239 points. This represents a delta of -73.4% for the Intel part, meaning the NVIDIA card is approximately 3.76 times faster in this compute-oriented test. This is not a marginal difference; it is a generational chasm that places the two products in entirely different performance tiers.

The RTX 4080 SUPER's score of 219,065 is not just a win over the Arc A570M; it also positions it favorably against its own nearest rivals. The data shows the RTX 4080 SUPER is 0.1% ahead of the standard RTX 4080, which scores 54,247 in its average benchmark. This indicates that the "SUPER" variant offers a slight but measurable improvement over its predecessor within the same product family. Furthermore, it sits 1.1% above the AMD Radeon Pro W5700X and 2.7% above the AMD Radeon RX 6750 GRE 12 GB, solidifying its place at the top of this particular comparison group.

For the Intel Arc A570M, its Geekbench OpenCL score of 58,239 places it in a much more modest competitive bracket. Its nearest rivals are the AMD Radeon RX 6950 XT, from which it trails by a razor-thin 0.3%, and the AMD Radeon RX 5600 OEM, which it leads by the same 0.3% margin. The data suggests the A570M's compute performance is effectively on par with these two very different AMD cards, one a former high-end desktop part and the other a budget OEM offering. This places the Intel chip in a peculiar middle ground where its raw compute is competitive with older, high-end parts but utterly outclassed by the current generation's top tier.

The disparity in scores is also reflected in the percentile rankings. The Intel Arc A570M sits in the 88th percentile of all GPUs, which sounds impressive until you see that the NVIDIA GeForce RTX 4080 SUPER sits in the 86th percentile. This apparent contradiction is explained by the fact that the RTX 4080 SUPER's average benchmark score across all its tests (54,209) is lower than its OpenCL score, while the Arc A570M's average (58,239) is equal to its sole OpenCL score. The NVIDIA card's percentile is dragged down by its performance in other tests like Passmark, where it scores significantly lower (e.g., 134 in DirectX 12, 193 in DirectX 10) than in OpenCL. This highlights the importance of test-specific analysis; a single aggregate percentile can be misleading when comparing a multi-test desktop GPU to a single-test mobile IGP.

The Verdict

From the data, the choice is clear for any user prioritizing raw performance: the NVIDIA GeForce RTX 4080 SUPER is the overwhelming winner. Its OpenCL score is nearly four times higher than the Intel Arc A570M's, and it leads its nearest rivals in the same benchmark category. This is a desktop-class GPU designed for maximum compute throughput, with a 52.22 TFLOPS FP32 rating, 80 RT cores, and 320 tensor cores. It is also an end-of-life product with a launch MSRP of 999 USD, now succeeded by the GeForce 50 series.

The Intel Arc A570M, conversely, is a different beast entirely. As an integrated graphics processor with a 75 W TDP, it is designed for mobility and efficiency, not for competing with flagship desktop cards. Its 5.325 TFLOPS FP32 performance and 16 RT cores are a fraction of the NVIDIA part's capabilities. However, its 88th percentile ranking suggests it is a highly capable mobile IGP, outperforming a vast majority of all GPUs in the database. Its benchmark scores are comparable to the AMD Radeon RX 6950 XT, a previous-generation high-end desktop card, which is a testament to its efficiency and relative power for its class.

Therefore, the verdict depends entirely on the application. For a desktop workstation or high-end gaming rig where size, power consumption, and heat are secondary concerns, the RTX 4080 SUPER is the only rational choice from this data. For a thin-and-light laptop where the 75 W TDP and IGP form factor are mandatory, the Arc A570M is a strong performer, but it cannot be compared to the RTX 4080 SUPER on any level of raw performance. The data does not support a scenario where the Intel part is a better choice for a user who can accommodate the NVIDIA card.

Architecture Differences

The two GPUs are built on fundamentally different architectures and process nodes. The Intel Arc A570M uses the Xe-HPG architecture (codenamed DG2-256) on a 6 nm TSMC process, containing 11,500 million transistors on a 269 mm² die. This results in a transistor density of 42.8 million per mm², which is a relatively low figure, reflecting the architecture's focus on efficiency over brute force. In contrast, the NVIDIA GeForce RTX 4080 SUPER uses the Ada Lovelace architecture (chip AD103) on a 5 nm TSMC process, packing a massive 45,900 million transistors into a 379 mm² die. Its transistor density of 121.1 million per mm² is nearly three times higher than Intel's, underscoring the density of NVIDIA's design.

This architectural gulf translates directly into compute resources. The RTX 4080 SUPER has 10,240 shading units, 320 texture mapping units (TMUs), and 112 render output units (ROPs). It also features 80 RT cores and 320 tensor cores, the latter being a key feature for AI-accelerated workloads. The Arc A570M, by contrast, has 2,048 shading units, 128 TMUs, and 64 ROPs, along with 16 RT cores and no tensor cores at all. The FP32 compute rating tells the same story: the NVIDIA card delivers 52.22 TFLOPS, while the Intel part delivers 5.325 TFLOPS, a tenfold difference.

The memory subsystems are equally divergent. The RTX 4080 SUPER uses 16 GB of GDDR6X memory on a 256-bit bus, delivering a bandwidth of 736.3 GB/s. The A570M has 8 GB of GDDR6 on a 128-bit bus, providing 224.0 GB/s. The NVIDIA card's memory clock is 1438 MHz (23 Gbps effective), while the Intel part's is 1750 MHz (14 Gbps effective). The combination of a wider bus and faster memory type gives the RTX 4080 SUPER over three times the memory bandwidth, which is critical for high-resolution textures and complex compute workloads. The A570M's smaller memory pool and narrower bus cap its performance in these areas.

Specification Differences

The specification sheets reveal stark differences in nearly every category. The most obvious is form factor: the Intel Arc A570M is an integrated graphics processor (IGP) with a slot width listed as "IGP" and no power connectors, while the NVIDIA GeForce RTX 4080 SUPER is a triple-slot expansion card measuring 310 mm in length, 140 mm in height, and 61 mm in width, requiring a single 16-pin power connector and a suggested 700 W power supply. The TDPs are equally divergent, with the A570M drawing 75 W and the RTX 4080 SUPER drawing 320 W.

Clock speeds also differ significantly. The Intel chip has a base clock of 900 MHz and a boost clock of 1300 MHz, while the NVIDIA card runs at a base of 2295 MHz and boosts to 2550 MHz. The bus interface differs as well: the A570M uses PCIe 4.0 x8, while the RTX 4080 SUPER uses PCIe 4.0 x16, offering double the bandwidth to the host system. Display outputs reflect their intended markets: the Intel part's outputs are "Portable Device Dependent," while the NVIDIA card offers 1x HDMI 2.1 and 3x DisplayPort 1.4a.

The production status and release dates also differ. The Intel Arc A570M is listed as "Active" and was released on 2023-07-31, while the NVIDIA GeForce RTX 4080 SUPER is "End-of-life" and was released on 2024-01-30, with a predecessor in the GeForce 30 series and a successor in the GeForce 50 series. The RTX 4080 SUPER has a launch MSRP of 999 USD, while the Intel part has no listed MSRP. Both support the same APIs: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Finally, the NVIDIA card includes 320 tensor cores, a feature entirely absent from the Intel Arc A570M's specifications.

FAQ

Q: Which GPU is faster in the Geekbench OpenCL benchmark?

A: The NVIDIA GeForce RTX 4080 SUPER is significantly faster, scoring 219,065 points compared to the Intel Arc A570M's 58,239 points, a delta of -73.4% for the Intel part.

Q: How does the Intel Arc A570M's performance compare to its nearest rivals?

A: The A570M's score of 58,239 is nearly identical to the AMD Radeon RX 6950 XT (58,392, -0.3%) and the AMD Radeon RX 5600 OEM (58,085, +0.3%), placing it in a tight competitive cluster.

Q: What is the memory configuration difference between the two cards?

A: The Intel Arc A570M has 8 GB of GDDR6 memory on a 128-bit bus with 224.0 GB/s bandwidth. The NVIDIA GeForce RTX 4080 SUPER has 16 GB of GDDR6X memory on a 256-bit bus with 736.3 GB/s bandwidth.

Q: Does the Intel Arc A570M have tensor cores?

A: No, the Intel Arc A570M does not list any tensor cores in its specifications. The NVIDIA GeForce RTX 4080 SUPER has 320 tensor cores.

Q: What is the TDP of each GPU?

A: The Intel Arc A570M has a TDP of 75 W, while the NVIDIA GeForce RTX 4080 SUPER has a TDP of 320 W.

Q: Which GPU has the higher transistor density?

A: The NVIDIA GeForce RTX 4080 SUPER has a transistor density of 121.1M per mm², which is significantly higher than the Intel Arc A570M's 42.8M per mm².