Intel Arc A380E x2 vs NVIDIA RTX 5000 Embedded Ada Generation X2 Comparison

The Verdict

The recorded data positions these two GPUs at opposite ends of the embedded and low-profile graphics spectrum. The Intel Arc A380E x2 is a single-slot, end-of-life product built on the Xe-HPG architecture with a 6 nm process, while the NVIDIA RTX 5000 Embedded Ada Generation X2 is an active, IGP-format part on the 5 nm Ada Lovelace architecture. The database shows no head-to-head benchmark wins for either side (0 wins each), and both sit at the 50th percentile among all GPUs, with average benchmark scores of zero. This means the comparative analysis must rely entirely on architectural and specification differences rather than measured performance deltas.

For system integrators targeting portable or embedded devices where the GPU must be soldered to the board, the RTX 5000 Embedded Ada Generation X2 is the clear choice based on its IGP slot width, active production status, and 16 GB of memory. For those needing a discrete, single-slot card with eight mini-DisplayPort 2.0 outputs, the Intel Arc A380E x2 offers a unique display configuration that the NVIDIA part cannot match, as the latter's display outputs are listed as "Portable Device Dependent." The data indicates no price advantage for either, as neither has a launch MSRP recorded. The RTX 5000 Embedded Ada Generation X2 delivers substantially higher raw compute figures across every measured category, but the A380E x2 counters with a higher base and boost clock, a smaller die, and a lower thermal design power relative to its compute density.

FAQ

Q: Which GPU has the higher transistor density?

A: The NVIDIA RTX 5000 Embedded Ada Generation X2 has a transistor density of 121.1M per mm², which is roughly 2.6 times the 45.9M per mm² of the Intel Arc A380E x2. This comes from packing 45,900 million transistors into a 379 mm² die, whereas Intel fits 7,200 million transistors into 157 mm².

Q: How do the memory subsystems differ?

A: The NVIDIA part uses 16 GB of GDDR6 on a 256-bit bus with 576.0 GB/s of bandwidth, while the Intel part uses 6 GB of GDDR6 on a 96-bit bus with 186.0 GB/s. The NVIDIA memory clock runs at 2250 MHz (18 Gbps effective) versus Intel's 1937 MHz (15.5 Gbps effective). The NVIDIA memory bandwidth is more than three times higher.

Q: What are the thermal design power requirements?

A: The Intel Arc A380E x2 has a TDP of 130 W and requires a 300 W suggested power supply with a single 6-pin power connector. The NVIDIA RTX 5000 Embedded Ada Generation X2 has a TDP of 150 W, does not list a suggested PSU, and requires no power connectors due to its IGP form factor.

Q: Which GPU supports more shading units?

A: The NVIDIA RTX 5000 Embedded Ada Generation X2 has 9,728 shading units, which is nearly ten times the 1,024 shading units of the Intel Arc A380E x2. This difference also extends to texture mapping units (304 versus 64) and render output units (112 versus 32).

Q: Are both GPUs compatible with the same graphics APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The API feature sets are identical in the recorded data, so software compatibility at the API level is not a differentiator.

Q: What is the production status of each GPU?

A: The Intel Arc A380E x2 is marked as end-of-life, with a release date of 2024-03-31 and a successor named Battlemage. The NVIDIA RTX 5000 Embedded Ada Generation X2 is active, released on 2023-03-20, with a successor named Blackwell-MW and a predecessor of Ampere-MW.

Architecture Differences

The Intel Arc A380E x2 uses the DG2-128 chip built on the Xe-HPG architecture, belonging to the Alchemist (Arc 3) generation. It is fabricated on a 6 nm process at TSMC with 7,200 million transistors on a 157 mm² die. The architecture includes 8 ray tracing cores but no tensor cores, and it delivers FP32 performance of 4.096 TFLOPS with FP16 at 8.192 TFLOPS using a 2:1 ratio. The NVIDIA RTX 5000 Embedded Ada Generation X2 uses the AD103 chip on the Ada Lovelace architecture, part of the Ada-MW generation. It is fabricated on a 5 nm process at TSMC with 45,900 million transistors on a 379 mm² die. This architecture includes 76 ray tracing cores and 304 tensor cores, delivering FP32 and FP16 both at 32.69 TFLOPS with a 1:1 ratio.

The transistor density difference is stark: NVIDIA achieves 121.1M transistors per mm² versus Intel's 45.9M per mm². This reflects the more advanced 5 nm process node, which allows far greater logic density. The Intel part has a smaller die but also a much simpler compute configuration. The RTX 5000 Embedded Ada Generation X2 has 76 ray tracing cores against Intel's 8, and 304 tensor cores against Intel's null entry, meaning the NVIDIA architecture is designed for workloads that leverage both ray tracing and tensor operations, while the Intel part focuses on conventional rasterization.

The base clock of the Intel part is 2000 MHz, which is more than double the 930 MHz base clock of the NVIDIA part. However, the boost clock of the NVIDIA part reaches 1680 MHz, still below Intel's fixed 2000 MHz. This clock advantage does not overcome the massive core count difference: NVIDIA's 9,728 shading units produce 32.69 TFLOPS of FP32, which is approximately eight times the 4.096 TFLOPS of the Intel part. The pixel rate of the NVIDIA part is 188.2 GPixel/s versus 64.00 GPixel/s for Intel, and the texture rate is 510.7 GTexel/s versus 128.0 GTexel/s.

Specification Differences

The two GPUs differ across nearly every recorded specification. The Intel Arc A380E x2 has a 96-bit memory bus with 6 GB of GDDR6, while the NVIDIA RTX 5000 Embedded Ada Generation X2 has a 256-bit bus with 16 GB of GDDR6. Memory bandwidth is 186.0 GB/s for Intel and 576.0 GB/s for NVIDIA. The memory clock is 1937 MHz (15.5 Gbps effective) for Intel and 2250 MHz (18 Gbps effective) for NVIDIA.

The shading unit count is 1,024 for Intel versus 9,728 for NVIDIA. Texture mapping units are 64 versus 304, and render output units are 32 versus 112. Ray tracing cores are 8 versus 76, and tensor cores are absent on Intel versus 304 on NVIDIA. The FP32 compute is 4.096 TFLOPS versus 32.69 TFLOPS, and FP16 compute is 8.192 TFLOPS (2:1) versus 32.69 TFLOPS (1:1).

The Intel part has a TDP of 130 W with a 300 W suggested PSU and a single 6-pin connector, while the NVIDIA part has a TDP of 150 W with no power connectors and no suggested PSU. The Intel part is single-slot with dimensions of 265 mm length, 127 mm height, and 20 mm width. The NVIDIA part is an IGP with no recorded dimensions. The bus interface is PCIe 4.0 x8 for Intel and PCIe 4.0 x16 for NVIDIA. Display outputs are 8x mini-DisplayPort 2.0 for Intel and "Portable Device Dependent" for NVIDIA.

The process node is 6 nm for Intel and 5 nm for NVIDIA, both at TSMC. Transistor counts are 7,200 million versus 45,900 million, and die sizes are 157 mm² versus 379 mm². Production status is end-of-life for Intel and active for NVIDIA. Release dates are 2024-03-31 for Intel and 2023-03-20 for NVIDIA. The Intel part has a predecessor of Xe Graphics and a successor of Battlemage, while the NVIDIA part has a predecessor of Ampere-MW and a successor of Blackwell-MW.

Head-to-Head Benchmarks

The database records zero head-to-head benchmark results for this pairing, and both GPUs have zero individual benchmark scores and zero wins each. The average benchmark score for both is zero, and both occupy the 50th percentile among all GPUs. This absence of measured data means the comparison must be drawn from the specification-level figures, which show overwhelming advantages for the NVIDIA part in raw compute.

The FP32 performance difference is the most significant: the RTX 5000 Embedded Ada Generation X2 delivers 32.69 TFLOPS, which is 28.59 TFLOPS higher than the Intel part's 4.096 TFLOPS. This represents a roughly eightfold advantage. The FP16 comparison is similar, with NVIDIA at 32.69 TFLOPS versus Intel at 8.192 TFLOPS, though Intel's FP16 is achieved via a 2:1 ratio while NVIDIA uses a 1:1 ratio. The texture fill rate of 510.7 GTexel/s versus 128.0 GTexel/s gives NVIDIA a fourfold lead, and the pixel rate of 188.2 GPixel/s versus 64.00 GPixel/s gives a threefold lead.

Memory bandwidth is the next largest gap: 576.0 GB/s versus 186.0 GB/s is a 3.1x advantage for NVIDIA. This is driven by both the wider 256-bit bus and the higher memory clock. The Intel part does hold an advantage in clock speed, with a 2000 MHz base and boost versus NVIDIA's 930 MHz base and 1680 MHz boost. This higher clock helps Intel achieve its 4.096 TFLOPS with only 1,024 shading units, but the core count disparity is too large to overcome.

The transistor density figures also favor NVIDIA at 121.1M per mm² versus 45.9M per mm², indicating a more efficient use of silicon area. However, the Intel die is smaller at 157 mm² versus 379 mm², which contributes to its lower transistor count. The TDP difference is modest: 130 W for Intel versus 150 W for NVIDIA, yet NVIDIA delivers eight times the FP32 throughput at only 20 W higher TDP, indicating substantially better compute efficiency per watt.

Where Each One Wins

The Intel Arc A380E x2 wins in specific form-factor and display scenarios. Its single-slot design with 8x mini-DisplayPort 2.0 outputs is unique in this comparison, as the NVIDIA part has no fixed display outputs and depends on the portable device. The Intel part also has a lower TDP at 130 W versus 150 W, and it requires a 300 W suggested PSU, which is a defined power envelope. The higher clock speed of 2000 MHz for both base and boost means the Intel part can sustain its maximum frequency without a boost curve, which can be beneficial in latency-sensitive or fixed-frequency workloads. The smaller die size of 157 mm² and lower transistor count of 7,200 million also make it a less complex part to integrate.

The NVIDIA RTX 5000 Embedded Ada Generation X2 wins in all compute-heavy categories. Its 32.69 TFLOPS FP32 and FP16 performance, 16 GB of memory, 576.0 GB/s bandwidth, 76 ray tracing cores, and 304 tensor cores make it the only viable option for workloads that require parallel processing, machine learning inference, or real-time ray tracing. The 256-bit memory bus and 18 Gbps effective memory clock provide the bandwidth necessary for large datasets. The IGP form factor means it can be embedded directly into a portable device without external power connectors, which is an advantage for compact system design. The active production status ensures ongoing availability, while the Intel part is end-of-life.

The database shows no benchmark wins for either side, so these conclusions are drawn from architectural and specification data. The Intel part is a specialized display-focused card with modest compute, while the NVIDIA part is a high-compute embedded solution. For applications that need many display outputs from a single slot, the Intel Arc A380E x2 is the only part in this comparison that offers 8x mini-DisplayPort 2.0. For applications that need maximum compute density in an embedded format, the RTX 5000 Embedded Ada Generation X2 is the only part that provides tensor cores, 16 GB of memory, and over 32 TFLOPS of FP32 throughput. The two GPUs do not compete directly; they serve different segments of the embedded market, and the data reflects that separation.