Intel Arc A380E vs NVIDIA GeForce RTX 5070 Mobile 12 GB Comparison

Intel Arc A380E and NVIDIA GeForce RTX 5070 Mobile 12 GB occupy different tiers of the mobile and embedded graphics landscape. The Arc A380E is an end-of-life Alchemist generation part, while the RTX 5070 Mobile is an active GeForce 50-series product. The recorded data shows a substantial gap in compute resources, memory subsystem, and architectural approach. This analysis draws exclusively from the database specifications and benchmark records, which contain no direct head-to-head scores for these two parts. Therefore, the comparison relies on the listed hardware parameters and the percentile positions, both of which place the RTX 5070 Mobile in a different performance class.

FAQ

Q: What are the memory capacities of the two GPUs?

A: The Intel Arc A380E has 6 GB of GDDR6 on a 96-bit bus, providing 186.0 GB/s of bandwidth. The NVIDIA GeForce RTX 5070 Mobile has 12 GB of GDDR7 on a 192-bit bus, delivering 576.0 GB/s.

Q: Which GPU has a higher transistor count?

A: The NVIDIA GeForce RTX 5070 Mobile uses the GB206 chip with 21,900 million transistors. The Intel Arc A380E uses the DG2-128 chip with 7,200 million transistors.

Q: What are the thermal design power (TDP) values?

A: The Intel Arc A380E is rated at 75 W. The NVIDIA GeForce RTX 5070 Mobile is rated at 50 W, which is lower despite the larger chip.

Q: Do both GPUs support the same API levels?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What process nodes are used?

A: The Intel Arc A380E uses a 6 nm process from TSMC. The NVIDIA GeForce RTX 5070 Mobile uses a 5 nm process from TSMC.

Q: What is the release status of each product?

A: The Intel Arc A380E is end-of-life and was released in early 2024. The NVIDIA GeForce RTX 5070 Mobile is active and released in mid-2026.

Specification Differences

The two GPUs differ across nearly every major specification category. The Intel Arc A380E has a base and boost clock of 2000 MHz, while the NVIDIA part clocks at 907 MHz base and 1425 MHz boost. The Intel memory clock runs at 1937 MHz (15.5 Gbps effective), whereas the NVIDIA memory clock is 1500 MHz (24 Gbps effective). Memory bus width is 96-bit for Intel and 192-bit for NVIDIA. Memory type is GDDR6 for Intel and GDDR7 for NVIDIA.

Shading units number 1024 on the Arc A380E versus 4608 on the RTX 5070 Mobile. Texture mapping units are 64 versus 144, and render output units are 32 versus 48. Ray tracing cores are 8 on Intel and 36 on NVIDIA. Tensor cores are absent on the Intel part, while the NVIDIA part has 144.

Pixel rate is 64.00 GPixel/s for Intel and 68.40 GPixel/s for NVIDIA. Texture rate is 128.0 GTexel/s for Intel and 205.2 GTexel/s for NVIDIA. FP32 compute is 4.096 TFLOPS for Intel and 13.13 TFLOPS for NVIDIA. FP16 compute is 8.192 TFLOPS (2:1) for Intel and 13.13 TFLOPS (1:1) for NVIDIA.

The bus interface differs: PCIe 4.0 x8 for Intel, PCIe 5.0 x16 for NVIDIA. The Intel card is single-slot with dimensions of 254 mm length, 127 mm height, and 20 mm width. The NVIDIA part is an integrated graphics package (IGP) with no listed dimensions. Display outputs are 4x DisplayPort 2.0 on Intel, while the NVIDIA output is portable device dependent. The Intel TDP is 75 W with a suggested PSU of 250 W; the NVIDIA TDP is 50 W with no suggested PSU listed.

Architecture Differences

The Intel Arc A380E is built on the Xe-HPG architecture, specifically the Alchemist generation (Arc 3). It uses the DG2-128 chip. The process node is 6 nm TSMC, with a die size of 157 mm² and a transistor density of 45.9 million per mm². The NVIDIA GeForce RTX 5070 Mobile uses the Blackwell 2.0 architecture, GeForce 50 Mobile generation, with the GB206 chip. It is fabricated on a 5 nm TSMC process with a die size of 181 mm² and a transistor density of 121.0 million per mm².

The Intel GPU has no tensor cores, meaning AI acceleration relies on other resources, while the NVIDIA part includes 144 tensor cores. Ray tracing hardware is present on both, but the NVIDIA part has 36 RT cores versus 8 on Intel. The FP16 compute ratio differs: Intel achieves 2:1 throughput (8.192 TFLOPS from 4.096 TFLOPS FP32), while NVIDIA operates at 1:1, meaning FP16 and FP32 are equal at 13.13 TFLOPS. This indicates a different compute unit design, with NVIDIA prioritizing uniform throughput across precisions.

The memory architecture is another major divergence. Intel uses 6 GB GDDR6 with a 96-bit bus. NVIDIA uses 12 GB GDDR7 with a 192-bit bus. The bandwidth gap is significant: 186.0 GB/s versus 576.0 GB/s, a 3.1x difference in favor of NVIDIA. The transistor count difference (7,200 million versus 21,900 million) reflects the larger compute and memory infrastructure on the NVIDIA chip.

The Intel part is a discrete card with dedicated display outputs and a single-slot cooler. The NVIDIA part is an integrated graphics package for portable devices, with no discrete power connectors and no specified dimensions. The Intel part draws 75 W, while the NVIDIA part draws 50 W. The Intel part is end-of-life with a successor named Battlemage; the NVIDIA part is active with its predecessor being GeForce 40 Mobile.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark scores between the Intel Arc A380E and the NVIDIA GeForce RTX 5070 Mobile. The head-to-head benchmark array is empty, and the win counts are zero for both sides. Therefore, the analysis shifts to the recorded specification data and the percentile positions, both of which indicate a one-sided comparison.

The FP32 compute rate shows the NVIDIA part delivering 13.13 TFLOPS against 4.096 TFLOPS for Intel. This is a 3.2x advantage for NVIDIA. In FP16, the NVIDIA part delivers 13.13 TFLOPS, while Intel delivers 8.192 TFLOPS, a 1.6x advantage for NVIDIA. Texture rate is 205.2 GTexel/s versus 128.0 GTexel/s, a 1.6x advantage. Pixel rate is closer: 68.40 GPixel/s versus 64.00 GPixel/s, a 1.07x advantage for NVIDIA.

Memory bandwidth is the largest single gap in the recorded data. The 576.0 GB/s of the RTX 5070 Mobile is 3.1x the 186.0 GB/s of the Arc A380E. This bandwidth advantage directly impacts texture-heavy workloads and high-resolution rendering. The shading unit count is 4.5x higher on NVIDIA (4608 versus 1024), and the RT core count is 4.5x higher (36 versus 8). Tensor cores exist only on NVIDIA.

The NVIDIA part also has a higher transistor density: 121.0M per mm² versus 45.9M per mm², despite the larger die area (181 mm² versus 157 mm²). This indicates a more modern process and denser logic. The clock speeds tell a different story: Intel runs at 2000 MHz boost, while NVIDIA runs at 1425 MHz boost. The Intel part compensates for lower core counts with higher clocks, but the compute throughput still falls far behind.

Both GPUs share the same API support: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This means feature-level compatibility is equal, but the raw execution resources differ dramatically. The recorded percentile positions are identical at 50 for both, which suggests the database ranks each within its own launch cohort rather than against each other. Without direct benchmarks, the specification data provides the only measurable comparison.

Where Each One Wins

The Intel Arc A380E wins in clock speed. Its 2000 MHz base and boost clocks exceed the NVIDIA part's 907 MHz base and 1425 MHz boost. This higher clock rate can benefit lightly threaded workloads or tasks that respond to raw frequency, though the compute unit count limits the practical impact.

The Intel part also wins in power efficiency per clock. At 75 W TDP with a 2000 MHz boost, the power per clock is lower than the NVIDIA part's 50 W at 1425 MHz. However, the NVIDIA part delivers more total performance within its 50 W envelope, so the efficiency metric depends on workload.

The Intel part wins in display connectivity. It offers 4x DisplayPort 2.0 outputs, suitable for multi-monitor setups. The NVIDIA part depends on the portable device's display configuration, which is not specified.

The NVIDIA GeForce RTX 5070 Mobile wins in every compute and memory metric. FP32 is 3.2x higher, FP16 is 1.6x higher, texture rate is 1.6x higher, and pixel rate is 1.07x higher. Memory bandwidth is 3.1x higher. The shading unit count is 4.5x higher, the RT core count is 4.5x higher, and tensor cores are present only on NVIDIA.

The NVIDIA part wins in transistor efficiency. With 121.0M transistors per mm² versus 45.9M, it packs more logic into a similar die area. The 21,900 million transistor count versus 7,200 million gives NVIDIA a 3.0x advantage in raw silicon resources.

The NVIDIA part also wins in memory capacity and type. 12 GB of GDDR7 versus 6 GB of GDDR6 means double the capacity and a newer memory standard. The 192-bit bus versus 96-bit provides the bandwidth advantage noted above.

The NVIDIA part wins in power efficiency per unit of performance. Despite a lower TDP (50 W versus 75 W), it delivers higher compute rates. The FP32 per watt is approximately 0.263 TFLOPS/W for NVIDIA versus 0.055 TFLOPS/W for Intel, based on the recorded TDP and FP32 values.

The Intel part wins in physical form factor flexibility for desktop-like integration. Its single-slot design with explicit dimensions (254 mm length, 127 mm height, 20 mm width) allows for standard chassis mounting. The NVIDIA part is an IGP, meaning it is soldered to a motherboard, which is a different use case.

The Verdict

The data indicates a clear performance hierarchy. The NVIDIA GeForce RTX 5070 Mobile 12 GB dominates the Intel Arc A380E in compute throughput, memory bandwidth, and feature set. The 3.2x FP32 advantage and 3.1x memory bandwidth advantage make the NVIDIA part suitable for demanding 3D rendering, ray tracing, and high-resolution gaming. The Intel Arc A380E, with its 4.096 TFLOPS FP32 and 186.0 GB/s bandwidth, targets lighter workloads or embedded applications where its 75 W power draw and DisplayPort 2.0 outputs are sufficient.

For users selecting a GPU for portable devices, the RTX 5070 Mobile is the practical choice. Its 50 W TDP allows integration into thin laptops, and its 144 tensor cores provide AI acceleration that the Intel part lacks. The 12 GB GDDR7 memory supports larger textures and higher resolution buffers.

For users needing a discrete, single-slot card with multiple display outputs, the Arc A380E is the only option in this comparison. Its end-of-life status and lower compute resources limit its lifespan, but its 4x DisplayPort 2.0 connectivity suits multi-monitor productivity.

The release dates reinforce the generational gap. The Intel part launched in March 2024 and is already end-of-life. The NVIDIA part launches in May 2026 and remains active. The architecture difference, Xe-HPG versus Blackwell 2.0, represents multiple generations of GPU design. The successor to the Arc A380E is listed as Battlemage, confirming Intel's own roadmap moves beyond this chip.

The percentile data shows both parts at the 50th percentile of all GPUs, but this is a within-database ranking that does not account for their direct comparison. The specification data provides the objective basis: the RTX 5070 Mobile has 4.5x the shading units, 4.5x the RT cores, 144 tensor cores versus zero, and a 1.7x higher transistor count density. The FP32 compute difference alone is 13.13 TFLOPS versus 4.096 TFLOPS, which is a 3.2x gap.

For a builder choosing between these two, the decision is straightforward. The NVIDIA part is for performance-critical portable systems. The Intel part is for specialized embedded or multi-display setups where the 75 W TDP and DisplayPort 2.0 are the deciding factors. The recorded data shows no scenario where the Intel part outperforms the NVIDIA part in raw throughput, but its lower power draw and discrete form factor give it a niche. The verdict, based strictly on the database, is that the RTX 5070 Mobile is the superior GPU for compute and memory-intensive tasks, while the Arc A380E serves a narrow compatibility role.