Intel Arc Graphics 2 Xe Mobile vs NVIDIA GeForce RTX 4090 Max-Q Comparison

Head-to-Head Benchmarks

The recorded data contains no direct head-to-head benchmark results for the Intel Arc Graphics 2 Xe Mobile versus the NVIDIA GeForce RTX 4090 Max-Q. The comparison must therefore rely on the architectural specifications and theoretical throughput limits provided in the database.

The raw compute figures show a substantial gap between the two parts. The Intel Arc Graphics 2 Xe Mobile delivers 1,280.0 GFLOPS of FP32 throughput, while the NVIDIA GeForce RTX 4090 Max-Q reaches 28.31 TFLOPS. That places the NVIDIA part roughly 22 times higher in raw single-precision compute. The FP16 comparison is equally lopsided: Intel lists 2.560 TFLOPS with a 2:1 ratio, while NVIDIA lists 28.31 TFLOPS with a 1:1 ratio. NVIDIA's FP16 output is more than 11 times higher.

Texture and pixel throughput follow the same pattern. The Intel GPU produces 40.00 GTexel/s and 20.00 GPixel/s. The NVIDIA GPU produces 442.3 GTexel/s and 163.0 GPixel/s. The NVIDIA part is over 11 times faster in texture fill and over 8 times faster in pixel fill. These are theoretical peak rates, not measured application results, but they define the ceiling for each architecture's rendering capabilities.

The shading unit count reinforces the compute disparity. Intel has 256 shading units, 16 TMUs, and 8 ROPs. NVIDIA has 9,728 shading units, 304 TMUs, and 112 ROPs. The NVIDIA part carries 38 times more shading units, 19 times more TMUs, and 14 times more ROPs. This structural advantage is consistent across all measured throughput categories.

Both parts sit at the 50th percentile in the database's global GPU ranking, and both have an average benchmark score of 0. The database shows no wins for either side in head-to-head testing. This means the comparison is entirely specification-driven for now.

Architecture Differences

The two GPUs come from fundamentally different design philosophies. Intel's Arc Graphics 2 Xe Mobile uses the Wildcat Lake chip with Xe3-LPG architecture, built on Intel's 3 nm process. The NVIDIA GeForce RTX 4090 Max-Q uses the AD103 chip with Ada Lovelace architecture, built on TSMC's 5 nm process. NVIDIA's transistor count is listed at 45,900 million on a 379 mm² die, giving a transistor density of 121.1M per mm². Intel's transistor count and die size are listed as unknown, which limits direct density comparison.

The memory subsystem is another clear differentiator. Intel uses System Shared memory, meaning the GPU draws from the system's main memory pool. Its memory type, bus width, and bandwidth are all listed as System Shared or System Dependent. NVIDIA uses 16 GB of dedicated GDDR6 memory on a 256 bit bus, delivering 576.0 GB/s of bandwidth. The memory clock is listed at 2250 MHz with 18 Gbps effective speed. Dedicated VRAM avoids contention with the CPU for memory bandwidth, which is a structural advantage in texture-heavy workloads.

Clock behavior differs notably. Intel runs at a 300 MHz base and boosts to 2500 MHz. NVIDIA runs at a 930 MHz base and boosts to 1455 MHz. Intel's boost clock is substantially higher in raw MHz, but its much smaller execution unit count means the higher frequency cannot close the throughput gap. The clock rates show that Intel chose a high-boost, low-shader-count design for efficiency, while NVIDIA opted for a lower-boost, massive-shader-count design for absolute throughput.

Ray tracing resources differ sharply. Intel has 2 RT cores. NVIDIA has 76 RT cores. Tensor cores are present only on the NVIDIA side, with 304 units listed. Intel lists no tensor core count. This indicates NVIDIA reserves dedicated hardware for AI-accelerated workloads and ray tracing, while Intel's implementation relies on the Xe3-LPG architecture's integrated approach.

Power draw is a major architectural distinction. Intel is rated at 25 W TDP, while NVIDIA is rated at 80 W TDP. Both are integrated form factors with no power connectors and no suggested PSU listed. The Intel part's lower TDP suggests it is designed for compact, low-power portable systems, while NVIDIA's 80 W rating allows for far more compute resources in a similar mobile context.

Both GPUs share the same API support: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This means software feature parity at the API level, even though the underlying hardware capabilities diverge significantly.

The bus interface differs. Intel uses IGP, meaning it is integrated into the processor package. NVIDIA uses PCIe 4.0 x16, a dedicated external interface. This reflects the integration level: Intel's GPU is part of a system-on-chip design, while NVIDIA's is a discrete-class mobile GPU.

Production status is Active for both. Intel released on 2026-04-15, and NVIDIA released on 2023-01-02. Intel's predecessor is HD Graphics-M, while NVIDIA's predecessor is GeForce 30 Mobile and its successor is GeForce 50 Mobile.

Where Each One Wins

The Intel Arc Graphics 2 Xe Mobile wins in power efficiency. Its 25 W TDP is less than one third of NVIDIA's 80 W TDP. For thin-and-light portables where thermal limits and battery life dominate, the Intel part offers a lower power envelope while still providing a full DirectX 12 Ultimate feature set. Its 300 MHz base clock and 2500 MHz boost also indicate a wide dynamic range, which can be useful in power-constrained scenarios.

The NVIDIA GeForce RTX 4090 Max-Q wins in every raw throughput category recorded in the database. FP32 compute, FP16 compute, texture rate, pixel rate, shading units, TMUs, ROPs, RT cores, tensor cores, memory capacity, memory bandwidth, and memory bus width all favor NVIDIA. The 16 GB dedicated GDDR6 frame buffer with 576.0 GB/s bandwidth is particularly important for high-resolution textures and large datasets. The 304 tensor cores give NVIDIA an advantage in AI-assisted rendering and DLSS-style workloads, though the database does not list specific DLSS results.

For gaming at high resolution and high detail settings, the NVIDIA part's pixel rate of 163.0 GPixel/s and texture rate of 442.3 GTexel/s provide far more headroom. For ray-traced scenes, NVIDIA's 76 RT cores vastly outnumber Intel's 2 RT cores. For compute-heavy applications like video rendering or scientific simulation, NVIDIA's 28.31 TFLOPS FP32 and 28.31 TFLOPS FP16 dwarf Intel's 1,280.0 GFLOPS and 2.560 TFLOPS.

The Intel part is best suited for basic graphics, media playback, and light productivity in low-power devices where the 25 W TDP and integrated design fit the thermal budget. The NVIDIA part is suited for demanding gaming, content creation, and AI workloads in laptops that can accommodate its 80 W TDP.

FAQ

Q: How much faster is the NVIDIA GeForce RTX 4090 Max-Q in FP32 compute than the Intel Arc Graphics 2 Xe Mobile?

A: The NVIDIA part delivers 28.31 TFLOPS FP32, while the Intel part delivers 1,280.0 GFLOPS. This means NVIDIA's FP32 throughput is roughly 22 times higher.

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

A: The Intel Arc Graphics 2 Xe Mobile uses System Shared memory, so its capacity depends on the host system. The NVIDIA GeForce RTX 4090 Max-Q has 16 GB of dedicated GDDR6 memory on a 256 bit bus with 576.0 GB/s bandwidth.

Q: Which GPU has more ray tracing cores?

A: The NVIDIA GeForce RTX 4090 Max-Q has 76 RT cores. The Intel Arc Graphics 2 Xe Mobile has 2 RT cores.

Q: What is the TDP difference between the two parts?

A: The Intel Arc Graphics 2 Xe Mobile is rated at 25 W TDP. The NVIDIA GeForce RTX 4090 Max-Q is rated at 80 W TDP. Intel's part consumes less than one third of NVIDIA's power budget.

Q: Do both GPUs support the same graphics APIs?

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

Q: What process nodes are used for each GPU?

A: The Intel Arc Graphics 2 Xe Mobile uses a 3 nm process from Intel. The NVIDIA GeForce RTX 4090 Max-Q uses a 5 nm process from TSMC.

The Verdict

The data presents a clear split. The NVIDIA GeForce RTX 4090 Max-Q dominates every recorded performance metric: 28.31 TFLOPS FP32 versus 1,280.0 GFLOPS, 576.0 GB/s dedicated memory bandwidth versus system shared memory, 76 RT cores versus 2, 304 tensor cores versus none, and 9,728 shading units versus 256. For any workload that stresses raw GPU throughput, ray tracing, tensor operations, or dedicated VRAM, the NVIDIA part is the only choice from this dataset.

The Intel Arc Graphics 2 Xe Mobile wins the efficiency comparison. At 25 W TDP versus 80 W, it uses less than one third of the power budget. It also uses a newer 3 nm process node and a higher boost clock of 2500 MHz versus 1455 MHz. For ultraportable devices where battery life and thermals take priority over peak performance, the Intel part fits a role the NVIDIA part cannot: a low-power integrated GPU with modern API support.

Users who need maximum frame rates, high-resolution textures, ray tracing, or AI acceleration should select the NVIDIA GeForce RTX 4090 Max-Q. Users who prioritize power efficiency and operate within a 25 W envelope should select the Intel Arc Graphics 2 Xe Mobile. The database shows no benchmark wins for either side, so this verdict rests entirely on the recorded specifications and theoretical throughput figures.