Intel Arc Graphics 2 Xe Mobile vs NVIDIA RTX 3500 Embedded Ada Generation Comparison

Head-to-Head Benchmarks

The recorded data set contains no direct head-to-head benchmark results for the Intel Arc Graphics 2 Xe Mobile against the NVIDIA RTX 3500 Embedded Ada Generation. With zero benchmark entries in the database for either part, the comparison must rely on the raw technical specifications and the computed performance ceilings derived from those specifications. What the data does provide is a clear picture of two very different design philosophies, one aimed at extreme efficiency and the other at maximum throughput within a mobile footprint.

The most decisive gap appears in raw compute throughput. The RTX 3500 Embedded Ada Generation delivers 23.04 TFLOPS of FP32 performance, while the Intel Arc Graphics 2 Xe Mobile is listed at 1,280.0 GFLOPS, or 1.28 TFLOPS. This represents an 18-fold difference in raw floating-point capability, a margin that no architectural efficiency can close. Similarly, the pixel throughput shows a 7.2x advantage for the NVIDIA part, with 144.0 GPixel/s versus 20.00 GPixel/s. Texture rate follows the same pattern, with the RTX 3500 reaching 360.0 GTexel/s against 40.00 GTexel/s for the Intel part, a 9x gap.

Memory bandwidth is another area of overwhelming disparity. The RTX 3500 uses a 192-bit bus with GDDR6 memory rated at 432.0 GB/s, while the Intel Arc Graphics 2 Xe Mobile relies on system-shared memory with bandwidth described as system dependent. The database records no fixed bandwidth figure for the Intel part, meaning its performance in memory-bound workloads will vary with the host platform, but the NVIDIA part has a hard, dedicated ceiling of 432.0 GB/s that does not depend on any external factors.

The shading resources tell a similar story. The RTX 3500 carries 5,120 shading units against 256 for the Intel part, a 20x difference. The RTX 3500 also fields 160 texture mapping units versus 16, and 64 raster operation units versus 8. Even the ray tracing resources, which are a modern differentiator, favor NVIDIA strongly: 40 RT cores versus 2, and 160 tensor cores versus none listed for the Intel part. The tensor core count is significant because the Intel Arc Graphics 2 Xe Mobile has no tensor core field populated in the database, indicating the absence of dedicated AI acceleration hardware.

Architecture Differences

The two processors come from entirely different foundries and process nodes. Intel builds the Arc Graphics 2 Xe Mobile on a 3 nm process at Intel's own fabs, while NVIDIA manufactures the RTX 3500 Embedded Ada Generation on a 5 nm process at TSMC. The Intel part uses the Xe3-LPG architecture from the Wildcat Lake chip, placed in the Arc Graphics-M generation. NVIDIA uses the Ada Lovelace architecture with the AD104 chip, part of the Ada-MW generation and the GeForce 30-series product line.

Transistor counts reveal the scale difference. The RTX 3500 contains 35,800 million transistors on a 294 mm² die, giving a transistor density of 121.8 million transistors per square millimeter. The Intel part lists its transistor count and die size as unknown in the database, so no direct comparison of physical scale is possible. What is known is that the Intel part is an integrated graphics processor with an IGP bus interface, while the RTX 3500 connects via PCIe 4.0 x16.

Memory architecture is fundamentally different. The Intel Arc Graphics 2 Xe Mobile uses system-shared memory for both capacity and type, with a system-shared bus width and system-dependent bandwidth. The RTX 3500 has dedicated 12 GB of GDDR6 on a 192-bit bus, delivering 432.0 GB/s. The clock behavior also differs. Intel lists a base clock of 300 MHz and a boost of 2500 MHz. NVIDIA lists a base clock of 1725 MHz and a boost of 2250 MHz, with memory clocked at 2250 MHz effective 18 Gbps.

Power delivery separates the two in a way that matters for deployment. The Intel part has a TDP of 25 W and uses no power connectors. The RTX 3500 has a TDP of 100 W, also with no power connectors listed, but the database suggests a 300 W PSU for systems using it. Both are marked as IGP in slot width, meaning neither occupies an expansion slot. Display outputs differ: the Intel part lists portable device dependent outputs, while the RTX 3500 lists no outputs at all, indicating it is designed for compute or rendering tasks where the display is driven by another GPU.

The API support is identical on paper. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The production status for both is active. Release dates differ by roughly three years, with the RTX 3500 released on 2023-03-20 and the Intel part on 2026-04-15. The NVIDIA part has a predecessor in Ampere-MW and a successor in Blackwell-MW, while the Intel part lists HD Graphics-M as its predecessor and no successor.

Where Each One Wins

The split in strengths is stark. The RTX 3500 Embedded Ada Generation wins in every measured compute category recorded in the database. FP32 performance, pixel rate, texture rate, shading units, TMUs, ROPs, RT cores, tensor cores, memory size, memory type, memory bus width, memory bandwidth, and base clock all favor the NVIDIA part. The only clock speed where Intel shows a higher number is the boost clock, at 2500 MHz versus 2250 MHz, though this advantage does not translate into any throughput advantage given the massive difference in execution resources.

The Intel Arc Graphics 2 Xe Mobile wins in power efficiency and integration. At 25 W TDP versus 100 W, the Intel part uses one quarter of the power budget. This makes it suitable for scenarios where thermal and power constraints are the primary design drivers. The 3 nm process node gives Intel a manufacturing advantage over the 5 nm node used by NVIDIA, though the database does not contain efficiency measurements to quantify the real-world impact of that node advantage.

The system-shared memory configuration of the Intel part means it has no fixed memory capacity limit, unlike the RTX 3500's 12 GB. In theory, the Intel part can access whatever system memory is available, though the bandwidth remains system dependent. The RTX 3500 has a hard 12 GB ceiling but a guaranteed 432.0 GB/s of bandwidth. For workloads that need predictable memory performance, the NVIDIA part is the safer choice. For workloads that need flexible memory sizing, the Intel part offers more adaptability, at the cost of bandwidth certainty.

The PCIe 4.0 x16 interface of the RTX 3500 provides a wide, dedicated connection to the host, while the Intel part uses an IGP interface with no separate bus width specified. The RTX 3500 also carries tensor cores, which are absent from the Intel part's specification. This makes the NVIDIA part the only one of the two with dedicated hardware for AI and machine learning workloads. The Intel part lists no tensor core hardware at all in the database.

The Verdict

The database paints an unambiguous picture. The NVIDIA RTX 3500 Embedded Ada Generation is the superior performer in every recorded metric except power consumption and process node. It delivers 18x the FP32 throughput, 9x the texture rate, 7.2x the pixel rate, and 36x the dedicated memory bandwidth when comparing its fixed 432.0 GB/s against the Intel part's system-dependent figure. It has 20x the shading units, 10x the TMUs, 8x the ROPs, 20x the RT cores, and 160 tensor cores where the Intel part has none.

The Intel Arc Graphics 2 Xe Mobile is the choice for systems where the 25 W TDP is a hard limit. It uses no power connectors, requires no suggested PSU, and integrates directly into the host as an IGP. Its 3 nm process node is more advanced than the 5 nm node of the NVIDIA part, and its boost clock of 2500 MHz exceeds the NVIDIA boost of 2250 MHz. For a portable device with strict thermal constraints and no requirement for dedicated graphics memory, the Intel part fits. The database lists its display outputs as portable device dependent, which suggests it is designed for mobile systems where the display is part of the device.

The RTX 3500 is the choice for any workload that demands compute throughput. Its 23.04 TFLOPS of FP32, 23.04 TFLOPS of FP16 at 1:1 ratio, 40 RT cores, and 160 tensor cores make it a full-featured compute processor. The 12 GB of GDDR6 with 432.0 GB/s bandwidth provides dedicated memory that does not contend with the CPU for bandwidth. The 300 W suggested PSU indicates the platform requirements are substantial, but the performance ceiling is correspondingly high.

The release timing matters. The RTX 3500 launched on 2023-03-20 and is now in a mature product cycle, with a successor already identified in Blackwell-MW. The Intel part launched on 2026-04-15, making it a new entrant with no successor listed. Both are active production parts, so neither is end-of-life. Buyers choosing between them are deciding between a proven, high-throughput NVIDIA part and a low-power Intel part that trades almost all compute capability for a fraction of the power draw.

No benchmark scores exist in the database for either part, so the percentileVsAllGpus field of 50 for both is a neutral placeholder rather than a measured ranking. The verdict rests entirely on the specification sheet, and that sheet favors NVIDIA overwhelmingly in performance and Intel only in power efficiency and integration simplicity.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA RTX 3500 Embedded Ada Generation delivers 23.04 TFLOPS of FP32, while the Intel Arc Graphics 2 Xe Mobile delivers 1,280.0 GFLOPS (1.28 TFLOPS), an 18x advantage for NVIDIA.

Q: How much memory does each GPU have?

A: The RTX 3500 has 12 GB of dedicated GDDR6 memory on a 192-bit bus with 432.0 GB/s bandwidth. The Intel Arc Graphics 2 Xe Mobile uses system-shared memory with system-shared type, bus width, and system-dependent bandwidth.

Q: What is the power consumption difference?

A: The Intel Arc Graphics 2 Xe Mobile has a TDP of 25 W. The NVIDIA RTX 3500 Embedded Ada Generation has a TDP of 100 W and a suggested PSU of 300 W.

Q: Does the Intel GPU have tensor cores?

A: The database lists no tensor cores for the Intel Arc Graphics 2 Xe Mobile. The NVIDIA RTX 3500 has 160 tensor cores.

Q: Which GPU has more ray tracing cores?

A: The NVIDIA RTX 3500 has 40 RT cores. The Intel Arc Graphics 2 Xe Mobile has 2 RT cores.

Q: What process nodes are used?

A: The Intel part is built on a 3 nm process at Intel's foundry. The NVIDIA part is built on a 5 nm process at TSMC, with 35,800 million transistors on a 294 mm² die.