Intel Arc A380E x2 vs NVIDIA RTX 5000 Max-Q Ada Generation Comparison

FAQ

Q: What are the core architectural identities of the Intel Arc A380E x2 and the NVIDIA RTX 5000 Max-Q Ada Generation?

A: The Intel Arc A380E x2 uses the DG2-128 chip based on the Xe-HPG architecture, belonging to the Alchemist (Arc 3) generation. The NVIDIA RTX 5000 Max-Q Ada Generation uses the AD103 chip based on the Ada Lovelace architecture, belonging to the Ada-MW generation.

Q: How do the process nodes and transistor counts compare between the two GPUs?

A: The Intel chip is fabricated on a 6 nm process at TSMC and contains 7,200 million transistors on a 157 mm² die. The NVIDIA chip is fabricated on a 5 nm process at TSMC and contains 45,900 million transistors on a 379 mm² die. The transistor densities are 45.9M per mm² for Intel and 121.1M per mm² for NVIDIA.

Q: What are the memory specifications for each GPU?

A: The Intel Arc A380E x2 has 6 GB of GDDR6 memory on a 96-bit bus, delivering 186.0 GB/s of bandwidth. The NVIDIA RTX 5000 Max-Q Ada Generation has 16 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth.

Q: What are the power requirements for each card?

A: The Intel Arc A380E x2 has a TDP of 130 W, uses a single 6-pin power connector, and suggests a 300 W power supply. The NVIDIA RTX 5000 Max-Q Ada Generation has a TDP of 120 W, requires no power connectors, and has no suggested PSU rating because it is designed as an integrated graphics processor (IGP) for portable devices.

Q: What is the difference in the physical form factor?

A: The Intel Arc A380E x2 is a single-slot card measuring 265 mm in length, 127 mm in height, and 20 mm in width. The NVIDIA RTX 5000 Max-Q Ada Generation is an IGP with no listed dimensions, designed to be integrated into portable devices.

Q: What is the production status and release timeline for each product?

A: The Intel Arc A380E x2 is end-of-life and was released on 2024-03-31. The NVIDIA RTX 5000 Max-Q Ada Generation is active and was released on 2023-03-20, making it the earlier product by roughly a year.

Where Each One Wins

The recorded data shows distinct domains where each GPU holds an advantage based on raw specifications and architectural design.

The Intel Arc A380E x2 wins in scenarios that favor its higher clock speeds and specific compute ratios. Its base and boost clocks are both locked at 2000 MHz, which is substantially higher than the NVIDIA part's 930 MHz base and 1680 MHz boost. This gives the Intel GPU a clock speed advantage that benefits workloads responsive to raw frequency, particularly those that are latency-sensitive or poorly parallelized. Additionally, the Intel card's FP16 performance is exactly double its FP32 performance, listed as 8.192 TFLOPS versus 4.096 TFLOPS, indicating a 2:1 ratio that can accelerate certain half-precision workloads.

The NVIDIA RTX 5000 Max-Q Ada Generation wins in nearly every throughput-oriented category. Its FP32 compute of 32.69 TFLOPS is roughly eight times higher than the Intel part's 4.096 TFLOPS. The NVIDIA GPU also delivers 510.7 GTexel/s of texture rate versus 128.0 GTexel/s, and 188.2 GPixel/s of pixel rate versus 64.00 GPixel/s. The memory subsystem is decisively in NVIDIA's favor with 576.0 GB/s of bandwidth against 186.0 GB/s, and 16 GB of capacity against 6 GB. These figures point to NVIDIA dominance in high-resolution rendering, large dataset processing, and compute-heavy tasks.

The Intel Arc A380E x2 has a unique advantage in display output flexibility, offering 8x mini-DisplayPort 2.0 outputs. This makes it suited for multi-display configurations or specific embedded/industrial use cases where many independent outputs are required. The NVIDIA GPU's display outputs are listed as "Portable Device Dependent," meaning it relies on the host device's implementation rather than providing its own.

The power envelope is close, with the Intel part at 130 W and the NVIDIA part at 120 W. However, the NVIDIA GPU achieves far higher performance within that similar power budget, indicating significantly better performance-per-watt in the measured specifications.

Architecture Differences

The two GPUs represent fundamentally different design philosophies from their respective manufacturers.

The Intel Arc A380E x2 is built on the Xe-HPG architecture, specifically the Alchemist generation. It uses the DG2-128 chip, which is a smaller die at 157 mm². The architecture is designed around a 1024 shading unit configuration with 64 texture mapping units and 32 raster operation units. It includes 8 ray tracing cores, but no tensor cores are listed in the database. The chip is manufactured on TSMC's 6 nm process, housing 7,200 million transistors.

The NVIDIA RTX 5000 Max-Q Ada Generation is built on the Ada Lovelace architecture, specifically the Ada-MW professional mobile generation. It uses the AD103 chip, a considerably larger die at 379 mm². The architecture features 9728 shading units, 304 texture mapping units, and 112 raster operation units. It includes 76 ray tracing cores and 304 tensor cores, the latter being dedicated hardware for AI acceleration that the Intel part lacks entirely. The chip is manufactured on TSMC's 5 nm process, packing 45,900 million transistors.

The transistor density difference is stark: NVIDIA achieves 121.1M transistors per mm² while Intel achieves 45.9M per mm². This reflects both the process node advantage (5 nm versus 6 nm) and the architectural complexity of the NVIDIA design.

The FP16 compute ratio differs meaningfully. The Intel GPU provides 8.192 TFLOPS of FP16, which is exactly double its 4.096 TFLOPS FP32, indicating a 2:1 ratio where half-precision runs faster. The NVIDIA GPU provides 32.69 TFLOPS of FP16, which matches its FP32 figure exactly, indicating a 1:1 ratio where half-precision provides no throughput advantage. This architectural choice means the Intel part can accelerate FP16 workloads relative to its FP32 baseline, while the NVIDIA part's raw FP32 power is so high that it may not need such a ratio.

Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API feature support is identical in the recorded data.

Specification Differences

The following specifications differ between the two GPUs, based solely on the database entries.

The process node differs: Intel uses 6 nm, NVIDIA uses 5 nm, both at TSMC. The transistor count differs significantly: Intel has 7,200 million, NVIDIA has 45,900 million. The die size differs: Intel is 157 mm², NVIDIA is 379 mm². Transistor density differs: Intel is 45.9M per mm², NVIDIA is 121.1M per mm².

Clock speeds differ substantially. The Intel GPU runs at 2000 MHz base and 2000 MHz boost. The NVIDIA GPU runs at 930 MHz base and 1680 MHz boost. Memory clocks also differ: Intel runs at 1937 MHz (15.5 Gbps effective), NVIDIA runs at 2250 MHz (18 Gbps effective).

Memory configuration differs completely. Intel has 6 GB of GDDR6 on a 96-bit bus with 186.0 GB/s bandwidth. NVIDIA has 16 GB of GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth.

Compute unit counts differ vastly. Intel has 1024 shading units, 64 TMUs, 32 ROPs, and 8 RT cores. NVIDIA has 9728 shading units, 304 TMUs, 112 ROPs, and 76 RT cores. NVIDIA also has 304 tensor cores while Intel lists none.

Throughput rates differ: Intel delivers 64.00 GPixel/s pixel rate and 128.0 GTexel/s texture rate. NVIDIA delivers 188.2 GPixel/s and 510.7 GTexel/s. FP32 compute is 4.096 TFLOPS for Intel versus 32.69 TFLOPS for NVIDIA. FP16 is 8.192 TFLOPS (2:1) for Intel versus 32.69 TFLOPS (1:1) for NVIDIA.

Power and physical characteristics differ. Intel has a 130 W TDP with a 6-pin connector and a 300 W suggested PSU. NVIDIA has a 120 W TDP with no power connectors and no suggested PSU. Intel is single-slot with dimensions of 265 mm x 127 mm x 20 mm. NVIDIA is IGP with no listed dimensions.

Bus interface differs: Intel uses PCIe 4.0 x8, NVIDIA uses PCIe 4.0 x16. Display outputs differ: Intel offers 8x mini-DisplayPort 2.0, NVIDIA offers portable device dependent outputs.

Production status differs: Intel is end-of-life, NVIDIA is active. Release dates differ: Intel was released on 2024-03-31, NVIDIA on 2023-03-20. Predecessors and successors differ: Intel's predecessor is Xe Graphics and successor is Battlemage; NVIDIA's predecessor is Ampere-MW and successor is Blackwell-MW.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark scores or nearest rival comparisons for either GPU. Both entries list zero benchmark scores, zero wins in head-to-head tests, and no nearest rivals. The average benchmark score for both is zero, and both are at the 50th percentile against all GPUs in the database.

Without recorded benchmark results, the analysis must rely on the specification data to project relative performance. The most decisive specification gap is FP32 compute: the NVIDIA GPU delivers 32.69 TFLOPS versus 4.096 TFLOPS for Intel, a difference of approximately eight times. This means the NVIDIA part can process roughly eight times more single-precision floating-point operations per second, which directly translates to faster general-purpose compute and graphics rendering.

Memory bandwidth shows a similar pattern. NVIDIA's 576.0 GB/s is approximately 3.1 times Intel's 186.0 GB/s. This bandwidth advantage matters most at higher resolutions and with larger textures, where the GPU must stream more data from VRAM per frame. The capacity difference (16 GB versus 6 GB) further widens the gap in workloads that exceed the smaller frame buffer.

Texture and pixel throughput also favor NVIDIA heavily. The 510.7 GTexel/s texture rate is approximately 4 times Intel's 128.0 GTexel/s. The 188.2 GPixel/s pixel rate is approximately 2.9 times Intel's 64.00 GPixel/s. These figures indicate the NVIDIA GPU can fill more pixels and sample more textures per second, which benefits both rasterization and compute workloads.

The clock speed comparison is the one area where Intel leads. The Intel GPU's 2000 MHz base and boost clocks are higher than NVIDIA's 930 MHz base and 1680 MHz boost. This means Intel's execution units run at a faster frequency, partially compensating for the lower unit count. However, the sheer difference in shading units (1024 versus 9728) means the NVIDIA GPU's aggregate throughput remains far higher despite lower clocks.

The ray tracing comparison shows NVIDIA with 76 RT cores versus Intel's 8 RT cores. This nine-fold difference suggests substantially faster ray tracing performance in the NVIDIA part, though no benchmark data confirms this directly.

The FP16 ratio difference is notable. Intel's 2:1 ratio means its FP16 throughput is double its FP32, reaching 8.192 TFLOPS. NVIDIA's 1:1 ratio means its FP16 throughput equals its FP32 at 32.69 TFLOPS. Even in FP16, the NVIDIA GPU is approximately 4 times faster than Intel, despite Intel's ratio advantage.

The tensor core difference is qualitative but significant: NVIDIA includes 304 tensor cores for AI acceleration while Intel lists none. This indicates NVIDIA has dedicated hardware for deep learning and AI workloads that Intel lacks entirely.

Power efficiency favors NVIDIA. The NVIDIA GPU delivers 32.69 TFLOPS at 120 W, while Intel delivers 4.096 TFLOPS at 130 W. This places NVIDIA's compute density per watt far above Intel's, even accounting for the different power draws.

The Verdict

The recorded data paints a clear picture for different use cases.

For compute-heavy workloads, including 3D rendering, scientific simulation, and general GPU compute, the NVIDIA RTX 5000 Max-Q Ada Generation is the dominant choice. Its 32.69 TFLOPS FP32 performance versus 4.096 TFLOPS for Intel represents an overwhelming throughput advantage. The 16 GB memory capacity and 576.0 GB/s bandwidth support large datasets and high-resolution textures that the Intel GPU's 6 GB and 186.0 GB/s cannot accommodate.

For AI and machine learning workloads, the NVIDIA GPU's 304 tensor cores provide dedicated acceleration hardware that the Intel GPU completely lacks. No benchmark data confirms the magnitude of this advantage, but the architectural difference is definitive.

For ray tracing, the NVIDIA GPU's 76 RT cores versus Intel's 8 RT cores indicates a substantial performance gap. The NVIDIA part is likely many times faster in ray-traced scenes, though the database does not provide verified scores.

For multi-display output, the Intel Arc A380E x2 has a unique advantage with 8x mini-DisplayPort 2.0 outputs. This makes it suitable for digital signage, multi-monitor control rooms, or embedded systems requiring many independent display channels. The NVIDIA GPU's portable device dependent outputs offer no such flexibility.

For power-constrained mobile environments, the NVIDIA GPU fits the IGP form factor with no power connectors and a 120 W TDP. The Intel GPU requires a 6-pin connector and a 300 W PSU, making it a traditional slot card rather than an integrated solution.

The Intel Arc A380E x2 is end-of-life, meaning it is no longer in active production. The NVIDIA RTX 5000 Max-Q Ada Generation remains active. This affects long-term availability and driver support considerations.

The choice depends on the workload. For maximum compute, memory, ray tracing, and AI capability, the NVIDIA RTX 5000 Max-Q Ada Generation is the clear selection. For multi-display output in a fixed installation with modest compute needs, the Intel Arc A380E x2 offers a unique feature set that NVIDIA does not match. The NVIDIA GPU's higher transistor count, larger die, and higher density all point to a more capable processor, but the Intel part's higher clock speeds and 2:1 FP16 ratio give it specific strengths in clock-bound and half-precision workloads.