Intel Arc A380E x2 vs NVIDIA RTX 4000 Mobile Ada Generation Comparison

Where Each One Wins

The benchmark data for the Intel Arc A380E x2 and the NVIDIA RTX 4000 Mobile Ada Generation is limited to their recorded specifications, as the database contains no completed test runs for either device. This makes a win/loss breakdown impossible from direct measurements. However, the specification sheets reveal distinct usage profiles. The Intel Arc A380E x2 targets multi-display embedded or signage workloads, with 8x mini-DisplayPort 2.0 outputs and a single-slot, 265 mm length, 127 mm height, 20 mm width physical form. The NVIDIA RTX 4000 Mobile Ada Generation is an IGP (integrated graphics processor) for laptops, with display outputs listed as "Portable Device Dependent," meaning it relies on the host laptop’s panel and ports.

The compute-side data favors the NVIDIA part decisively. The RTX 4000 Mobile has 7424 shading units, 232 TMUs, 80 ROPs, 58 RT cores, and 232 tensor cores. The Arc A380E x2 has 1024 shading units, 64 TMUs, 32 ROPs, and 8 RT cores, with no tensor core count recorded. In raw throughput, the NVIDIA part reaches 24.72 TFLOPS FP32 and 24.72 TFLOPS FP16 (1:1), while the Intel part delivers 4.096 TFLOPS FP32 and 8.192 TFLOPS FP16 (2:1). The NVIDIA GPU is 6.03 times higher in FP32 throughput. Pixel rate also favors NVIDIA: 133.2 GPixel/s versus 64.00 GPixel/s. Texture rate is 386.3 GTexel/s versus 128.0 GTexel/s. These figures indicate the RTX 4000 Mobile is built for general 3D rendering and compute-heavy tasks, while the Arc A380E x2 is positioned for multi-screen output with modest graphics demands.

The memory subsystem shows a similar split. The NVIDIA card uses 12 GB GDDR6 on a 192-bit bus with 432.0 GB/s bandwidth. The Intel card uses 6 GB GDDR6 on a 96-bit bus with 186.0 GB/s bandwidth. For workloads that require large textures or datasets, the NVIDIA card has both more capacity and more than double the bandwidth. For basic framebuffer work across many displays, the Intel card’s 6 GB may suffice, but the bandwidth ceiling is low. The database records zero benchmark wins for either side, so the distinction here is architectural and capacity-driven, not performance-measured.

Architecture Differences

The two GPUs come from different architectures and process nodes. The Intel Arc A380E x2 uses the DG2-128 chip built on Xe-HPG architecture, part of the Alchemist (Arc 3) generation. It is fabricated on a 6 nm process at TSMC, containing 7,200 million transistors on a 157 mm² die, yielding a transistor density of 45.9M per mm². The NVIDIA RTX 4000 Mobile Ada Generation is built on the AD104 chip using Ada Lovelace architecture, from the Ada-MW generation. It uses a 5 nm TSMC process, with 35,800 million transistors on a 294 mm² die, giving a density of 121.8M per mm². The NVIDIA chip integrates nearly five times the transistors in less than double the die area, reflecting a denser manufacturing process and a more complex compute design.

Core organization differs markedly. The Intel GPU has 1024 shading units, 64 TMUs, and 32 ROPs, with 8 dedicated ray tracing cores. The NVIDIA GPU has 7424 shading units, 232 TMUs, and 80 ROPs, with 58 ray tracing cores and 232 tensor cores. Tensor cores are absent from the Intel specification sheet, meaning any AI or DLSS-style acceleration is not present on the Arc part. The NVIDIA GPU also includes a 232-unit tensor core array, which supports the 1:1 FP16/FP32 ratio. The Intel part uses a 2:1 FP16 ratio, indicating half-rate FP16 execution.

Memory architecture also differs. The Intel card runs GDDR6 at 1937 MHz (15.5 Gbps effective) across a 96-bit bus, achieving 186.0 GB/s. The NVIDIA card runs GDDR6 at 2250 MHz (18 Gbps effective) across a 192-bit bus, achieving 432.0 GB/s. The bus width difference (192 vs 96 bits) and the clock difference (2250 MHz vs 1937 MHz) both contribute to the NVIDIA card’s bandwidth advantage. Clock speeds on the GPU cores differ as well: the Intel part has a base and boost both at 2000 MHz, while the NVIDIA part has a base of 1290 MHz and a boost of 1665 MHz. Despite lower clocks, the NVIDIA GPU’s massive shader count yields far higher throughput.

Power and physical design diverge. The Intel Arc A380E x2 is a single-slot card, 265 mm long, 127 mm tall, 20 mm wide, with a 130 W TDP, a 1x 6-pin power connector, and a suggested 300 W PSU. The NVIDIA RTX 4000 Mobile Ada Generation is an IGP with a 110 W TDP, no power connectors, and no listed dimensions, as it is designed for mobile integration. The bus interface also differs: the Intel card uses PCIe 4.0 x8, while the NVIDIA part uses PCIe 4.0 x16. Display outputs are 8x mini-DisplayPort 2.0 on the Intel card versus "Portable Device Dependent" on the NVIDIA card.

Production status and release timing differ. The Intel part is end-of-life, released on 2024-03-31, with a predecessor listed as Xe Graphics and a successor as Battlemage. The NVIDIA part is active, released on 2023-03-20, with a predecessor of Ampere-MW and a successor of Blackwell-MW. The architectures are not directly comparable in feature set: Xe-HPG targets entry-level discrete graphics, while Ada Lovelace targets high-end mobile compute.

FAQ

Q: Which GPU has more shading units?

A: The NVIDIA RTX 4000 Mobile Ada Generation has 7424 shading units, while the Intel Arc A380E x2 has 1024 shading units. That is a 7.25 times difference in the NVIDIA card’s favor.

Q: What is the memory bandwidth of each card?

A: The Intel Arc A380E x2 has 186.0 GB/s bandwidth from 6 GB GDDR6 on a 96-bit bus. The NVIDIA RTX 4000 Mobile Ada Generation has 432.0 GB/s bandwidth from 12 GB GDDR6 on a 192-bit bus.

Q: Does the Intel card have tensor cores?

A: No. The Intel Arc A380E x2 specification list does not include tensor cores. The NVIDIA RTX 4000 Mobile Ada Generation includes 232 tensor cores.

Q: What is the process node difference?

A: The Intel Arc A380E x2 uses a 6 nm TSMC process, while the NVIDIA RTX 4000 Mobile Ada Generation uses a 5 nm TSMC process. The NVIDIA chip also has a higher transistor density at 121.8M per mm² versus 45.9M per mm².

Q: Which card supports more display outputs?

A: The Intel Arc A380E x2 supports 8x mini-DisplayPort 2.0 outputs. The NVIDIA RTX 4000 Mobile Ada Generation has display outputs listed as "Portable Device Dependent," meaning it relies on the laptop’s integrated display and ports.

Q: What are the TDP values?

A: The Intel Arc A380E x2 has a TDP of 130 W, with a 1x 6-pin power connector and a suggested 300 W PSU. The NVIDIA RTX 4000 Mobile Ada Generation has a TDP of 110 W, with no power connectors listed.

Specification Differences

The two GPUs differ in nearly every measured specification. The following table summarizes only the fields where the recorded data differs.

| Field | Intel Arc A380E x2 | NVIDIA RTX 4000 Mobile Ada Generation |

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

| Chip | DG2-128 | AD104 |

| Architecture | Xe-HPG | Ada Lovelace |

| Generation | Alchemist (Arc 3) | Ada-MW |

| Process Node | 6 nm | 5 nm |

| Transistors | 7,200 million | 35,800 million |

| Die Size | 157 mm² | 294 mm² |

| Transistor Density | 45.9M / mm² | 121.8M / mm² |

| Base Clock | 2000 MHz | 1290 MHz |

| Boost Clock | 2000 MHz | 1665 MHz |

| Memory Clock | 1937 MHz 15.5 Gbps effective | 2250 MHz 18 Gbps effective |

| Memory Size | 6 GB | 12 GB |

| Memory Type | GDDR6 | GDDR6 |

| Bus Width | 96 bit | 192 bit |

| Bandwidth | 186.0 GB/s | 432.0 GB/s |

| Shading Units | 1024 | 7424 |

| TMUs | 64 | 232 |

| ROPs | 32 | 80 |

| RT Cores | 8 | 58 |

| Tensor Cores | None listed | 232 |

| Pixel Rate | 64.00 GPixel/s | 133.2 GPixel/s |

| Texture Rate | 128.0 GTexel/s | 386.3 GTexel/s |

| FP32 | 4.096 TFLOPS | 24.72 TFLOPS |

| FP16 | 8.192 TFLOPS (2:1) | 24.72 TFLOPS (1:1) |

| TDP | 130 W | 110 W |

| Slot Width | Single-slot | IGP |

| Power Connectors | 1x 6-pin | None |

| Suggested PSU | 300 W | Not listed |

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

| Display Outputs | 8x mini-DisplayPort 2.0 | Portable Device Dependent |

| Dimensions | 265 mm x 127 mm x 20 mm | Not listed |

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

| Release Date | 2024-03-31 | 2023-03-20 |

| Predecessor | Xe Graphics | Ampere-MW |

| Successor | Battlemage | Blackwell-MW |

Head-to-Head Benchmarks

The database contains no completed benchmark runs for either GPU, so no direct head-to-head scores are available. The winsA and winsB fields are both zero. However, the recorded specification data allows a quantitative comparison of theoretical peak performance.

The largest single advantage for the NVIDIA RTX 4000 Mobile Ada Generation is in FP32 compute. The NVIDIA card delivers 24.72 TFLOPS, which is 6.03 times the Intel card’s 4.096 TFLOPS. In FP16, the NVIDIA card again reaches 24.72 TFLOPS, while the Intel card reaches 8.192 TFLOPS, a 3.02 times difference. The NVIDIA card’s FP16 runs at 1:1 with FP32, whereas the Intel card uses a 2:1 ratio, meaning the Intel GPU processes FP16 at half its FP32 rate.

Texture rate shows a 3.02 times difference: 386.3 GTexel/s for NVIDIA versus 128.0 GTexel/s for Intel. Pixel rate shows a 2.08 times difference: 133.2 GPixel/s versus 64.00 GPixel/s. Memory bandwidth shows a 2.32 times difference: 432.0 GB/s versus 186.0 GB/s. Memory capacity is double: 12 GB versus 6 GB.

The Intel card does hold advantages in specific areas. Its base and boost clocks are both 2000 MHz, which is higher than the NVIDIA card’s boost of 1665 MHz and base of 1290 MHz. The Intel card’s clock is uniform, while the NVIDIA card has a 375 MHz gap between base and boost. The Intel card also has more display outputs: 8x mini-DisplayPort 2.0 versus the NVIDIA card’s portable-device-dependent outputs. For multi-monitor installations, that is a functional advantage, though not a compute one.

The power draw is lower on the NVIDIA card: 110 W versus 130 W, despite the NVIDIA card having far more compute resources. The NVIDIA card uses no external power connectors, while the Intel card requires a 1x 6-pin connector. The Intel card also requires a 300 W suggested PSU, whereas the NVIDIA card has no suggested PSU listed, as it is an IGP.

The transistor counts highlight the architectural gap. The NVIDIA AD104 chip has 35,800 million transistors on a 294 mm² die. The Intel DG2-128 has 7,200 million transistors on a 157 mm² die. The NVIDIA chip’s transistor density is 121.8M per mm², versus 45.9M per mm² for Intel. This difference in integration density directly explains the compute throughput disparity.

Release timing also differs. The Intel Arc A380E x2 launched on 2024-03-31 and is already end-of-life, with a successor named Battlemage. The NVIDIA RTX 4000 Mobile Ada Generation launched on 2023-03-20 and remains active, with a successor named Blackwell-MW. The Intel card’s short lifecycle and lower specifications suggest it was designed for a niche role, not general compute competition.

The Verdict

The recorded data shows a clear performance hierarchy. The NVIDIA RTX 4000 Mobile Ada Generation dominates in every compute metric: FP32, FP16, pixel rate, texture rate, memory bandwidth, memory capacity, shader count, TMU count, ROP count, RT core count, and tensor core count. Its 24.72 TFLOPS FP32 output is 6.03 times the Intel card’s 4.096 TFLOPS. Its 432.0 GB/s bandwidth is 2.32 times the Intel card’s 186.0 GB/s. Its 12 GB memory capacity is double the Intel card’s 6 GB.

The Intel Arc A380E x2 wins only in clock speed (2000 MHz base and boost versus 1290 MHz base and 1665 MHz boost), display output count (8x mini-DisplayPort 2.0 versus portable-device-dependent), and physical form factor for standalone installation (single-slot, 265 mm length, with a 6-pin connector). It also carries a higher TDP at 130 W versus 110 W, yet delivers a fraction of the compute throughput.

For a user selecting a GPU for 3D rendering, machine learning, or any compute-heavy mobile workload, the NVIDIA card is the only viable choice based on the specification data. The tensor cores, RT cores, and 1:1 FP16 ratio position it for modern workloads that use AI acceleration and ray tracing. The Intel card has no tensor cores and only 8 RT cores, limiting its capability in those areas.

For a user building a multi-display signage system or an embedded visualizer, the Intel card’s 8x mini-DisplayPort 2.0 outputs and single-slot design are relevant. But the database shows no benchmark evidence that the Intel card excels even there, and its end-of-life status suggests limited long-term support. The NVIDIA card, despite being an IGP, has no listed display outputs of its own, so it cannot drive external multi-monitor arrays without host support.

The verdict from the recorded data is unambiguous: the NVIDIA RTX 4000 Mobile Ada Generation is the superior compute device by a wide margin, while the Intel Arc A380E x2 is a niche multi-output card with a narrower feature set and lower throughput. The zero benchmark scores mean no real-world validation exists in the database, but the theoretical peaks point in one direction.