Intel Arc A730M vs NVIDIA GeForce RTX 5070 Comparison

The Intel Arc A730M and NVIDIA GeForce RTX 5070 represent two distinct generations of GPU design, with the former being an end-of-life mobile part from Intel's Alchemist lineup and the latter an active desktop-class Blackwell 2.0 solution. The benchmark data shows a decisive performance gap, with the RTX 5070 winning all three head-to-head tests by margins ranging from 59% to 66%. However, the two GPUs occupy different physical and power envelopes, making their comparison a study in architectural evolution and market segmentation.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The Intel Arc A730M posts an average benchmark score of 45,592, while the NVIDIA GeForce RTX 5070 averages 40,377. Despite this, the RTX 5070 wins every individual head-to-head test, indicating the averages are skewed by different benchmark suites and weighting.

Q: How large is the performance gap in the DirectX 12 Steel Nomad test?

A: The RTX 5070 scores 5,077 versus the Arc A730M's 1,732 in 3DMark Steel Nomad DX12, representing a delta of -65.9% for the Intel part. This is the largest single-test margin between the two.

Q: What is the difference in transistor density?

A: The RTX 5070 has a transistor density of 118.3 million per mm², while the Arc A730M has 53.4 million per mm². The NVIDIA chip packs nearly twice the density, reflecting its more advanced process node.

Q: Do both GPUs support the same API feature set?

A: Yes, both list DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so the API surface is identical. The architectural capabilities underneath, however, differ significantly in ray tracing and tensor hardware.

Q: Which card has a higher pixel fill rate?

A: The RTX 5070 achieves 201.0 GPixel/s, slightly ahead of the Arc A730M's 196.8 GPixel/s. The difference is small, but the NVIDIA part also has a much higher texture rate of 482.3 GTexel/s versus 393.6 GTexel/s.

Q: What is the percentile ranking for each GPU?

A: The Arc A730M sits in the 84th percentile among all GPUs, while the RTX 5070 is in the 82nd percentile. This suggests the Intel part compares well against the broader database, even though it loses to the NVIDIA card in direct tests.

Architecture Differences

The Intel Arc A730M is built on TSMC's 6 nm process with the DG2-512 chip, using the Xe-HPG architecture from the Alchemist generation. It packs 21,700 million transistors into a 406 mm² die, yielding a density of 53.4 million per mm². The GPU features 3,072 shading units, 192 TMUs, 96 ROPs, and 24 ray tracing cores, with no dedicated tensor cores. Its FP32 throughput is 12.60 TFLOPS, and FP16 is 25.19 TFLOPS at a 2:1 ratio. The memory subsystem uses 12 GB of GDDR6 on a 192-bit bus, delivering 336.0 GB/s of bandwidth.

The NVIDIA GeForce RTX 5070, in contrast, uses the GB205 chip on TSMC's 5 nm process with the Blackwell 2.0 architecture. It has 31,100 million transistors on a smaller 263 mm² die, achieving a much higher density of 118.3 million per mm². The GPU doubles the shading units to 6,144, keeps TMUs at 192, but reduces ROPs to 80. It has 48 ray tracing cores and 192 tensor cores, a major addition over the Intel part. FP32 performance is 30.87 TFLOPS, with FP16 also at 30.87 TFLOPS (1:1 ratio). Memory is 12 GB of GDDR7 on a 192-bit bus, doubling bandwidth to 672.0 GB/s.

The RTX 5070's clocks are substantially higher, with a base of 2325 MHz and boost of 2512 MHz, versus the Arc A730M's 1100 MHz base and 2050 MHz boost. The memory clock is also faster at 1750 MHz (28 Gbps effective) compared to the Intel's 1750 MHz (14 Gbps effective). Power draw differs sharply: the RTX 5070 has a TDP of 250 W with a 600 W suggested PSU, while the Arc A730M is an IGP part at 80 W. The NVIDIA card is a dual-slot design measuring 245 mm by 115 mm by 40 mm, whereas the Intel part has no fixed dimensions due to its portable-device dependency.

The Verdict

The data indicates a clear hierarchy: the RTX 5070 is the stronger performer in every measured test, but the Arc A730M is not without merit in specific contexts. For users prioritizing raw compute and gaming frame rates, the RTX 5070 wins decisively, with a 193% higher score in Steel Nomad, a 145% higher Geekbench OpenCL score, and a 177% higher Vulkan score. Its 30.87 TFLOPS of FP32 and 672 GB/s bandwidth are nearly 2.5x and 2x the Intel part's figures, respectively.

However, the Arc A730M's lower TDP of 80 W versus 250 W makes it a candidate for thin-and-light systems or battery-conscious workloads, where the RTX 5070's power draw would be prohibitive. The Intel part also has a higher percentile ranking (84th vs 82nd), suggesting it holds up well against the broader GPU population despite losing to this specific rival. The RTX 5070 is an active product with a launch MSRP of 549 USD, while the Arc A730M is end-of-life, which may influence availability.

Picking between them depends on the use case. For a desktop replacement or high-performance laptop where power is not a constraint, the RTX 5070 is the obvious choice based on its benchmark dominance. For an integrated or low-power mobile solution where space and thermals are tight, the Arc A730M offers a viable albeit slower alternative. The RTX 5070's 192 tensor cores and 48 RT cores also make it better suited for AI and ray-traced workloads, though specific tests for those are not in the data.

Specification Differences

The two GPUs differ across nearly every specification field. The process node is 6 nm for Intel versus 5 nm for NVIDIA. Transistor count is 21,700 million versus 31,100 million, with die sizes of 406 mm² versus 263 mm², and densities of 53.4M/mm² versus 118.3M/mm². Base clocks are 1100 MHz versus 2325 MHz, and boost clocks are 2050 MHz versus 2512 MHz. Memory type is GDDR6 versus GDDR7, with effective speeds of 14 Gbps versus 28 Gbps, and bandwidths of 336.0 GB/s versus 672.0 GB/s.

Shading units are 3,072 versus 6,144, TMUs are 192 in both, and ROPs are 96 versus 80. Ray tracing cores are 24 versus 48, and tensor cores are null versus 192. Pixel rates are 196.8 GPixel/s versus 201.0 GPixel/s, and texture rates are 393.6 GTexel/s versus 482.3 GTexel/s. FP32 is 12.60 TFLOPS versus 30.87 TFLOPS, and FP16 is 25.19 TFLOPS (2:1) versus 30.87 TFLOPS (1:1). TDP is 80 W versus 250 W, slot width is IGP versus dual-slot, and power connectors are null versus 1x 16-pin. Bus interface is PCIe 4.0 x16 versus PCIe 5.0 x16. Display outputs are portable-device dependent versus 1x HDMI 2.1b and 3x DisplayPort 2.1b. Dimensions are null versus 245 mm x 115 mm x 40 mm. Production status is end-of-life versus active, and the RTX 5070 has a release date of 2025-03-03, while the Arc has none listed.

Head-to-Head Benchmarks

The RTX 5070 sweeps all three head-to-head tests, with the largest margin in 3DMark Steel Nomad DX12. The NVIDIA card scores 5,077 against the Arc A730M's 1,732, a delta of -65.9%. This test likely stresses modern DirectX 12 features, where the RTX 5070's higher shading unit count and clock speeds provide a massive advantage. The Intel part's lower FP32 throughput of 12.60 TFLOPS cannot compete with 30.87 TFLOPS in this workload.

In Geekbench OpenCL, the RTX 5070 scores 172,660 versus 70,352, a delta of -59.3%. This test is compute-oriented, and the NVIDIA card's 6,144 shading units and 192 tensor cores likely contribute to its 145% lead. The Arc A730M's 3,072 shading units and lack of tensor cores are a clear disadvantage here, despite its higher ROP count.

The Geekbench Vulkan test shows the RTX 5070 at 178,923 versus 64,693, a delta of -63.8%. This is the closest margin to the Steel Nomad result, suggesting Vulkan performance scales similarly with the hardware differences. The RTX 5070's faster memory bandwidth of 672.0 GB/s versus 336.0 GB/s likely plays a role in this 177% improvement. Across all tests, the RTX 5070 wins with an average margin of roughly 63%, indicating a consistent and substantial performance tier gap. The Arc A730M's sole consolation is its higher average benchmark score (45,592 vs 40,377), which appears to be an artifact of the specific tests included in each GPU's overall dataset.