Intel Arc Graphics 4 Xe Mobile vs NVIDIA RTX 2000 Mobile Ada Generation Comparison

# FAQ

Q: What are the two GPUs compared in this analysis?

A: The two GPUs are the Intel Arc Graphics 4 Xe Mobile, based on the Panther Lake chip with Xe3-LPG architecture, and the NVIDIA RTX 2000 Mobile Ada Generation, based on the AD107 chip with Ada Lovelace architecture.

Q: Which GPU has the higher boost clock speed?

A: The Intel Arc Graphics 4 Xe Mobile has a boost clock of 2300 MHz, while the NVIDIA RTX 2000 Mobile Ada Generation has a boost clock of 2115 MHz. The Intel part clocks 185 MHz higher at boost.

Q: How do the two GPUs differ in memory capacity and bandwidth?

A: The NVIDIA RTX 2000 Mobile Ada Generation has 8 GB of GDDR6 memory on a 128-bit bus with 256.0 GB/s bandwidth. The Intel Arc Graphics 4 Xe Mobile uses System Shared memory, with memory type, bus width, and bandwidth all listed as System Shared or System Dependent.

Q: What are the TDP ratings for each GPU?

A: The Intel Arc Graphics 4 Xe Mobile has a TDP of 25 W, while the NVIDIA RTX 2000 Mobile Ada Generation has a TDP of 50 W. The NVIDIA part draws twice the power budget of the Intel part.

Q: Which GPU has more shading units and RT cores?

A: The NVIDIA RTX 2000 Mobile Ada Generation has 3072 shading units and 24 RT cores. The Intel Arc Graphics 4 Xe Mobile has 512 shading units and 4 RT cores.

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

A: Both GPUs are listed as Active in production status. The NVIDIA RTX 2000 Mobile Ada Generation was released on 2023-03-20, while the Intel Arc Graphics 4 Xe Mobile has a release date of 2026-01-26.

Architecture Differences

The architectural split between these two mobile GPUs is substantial. The Intel Arc Graphics 4 Xe Mobile uses the Xe3-LPG architecture built on the Panther Lake chip, manufactured on a 3 nm process at Intel. The NVIDIA RTX 2000 Mobile Ada Generation uses the Ada Lovelace architecture with the AD107 chip, manufactured on a 5 nm process at TSMC. The process node difference gives Intel a manufacturing advantage in transistor density potential, though the Intel part has unknown transistor count and die size, while the NVIDIA chip has 18,900 million transistors on a 159 mm² die.

The compute resource disparity is stark. The Intel GPU packs 512 shading units, 32 texture mapping units, and 16 render output units. The NVIDIA GPU delivers 3072 shading units, 96 TMUs, and 48 ROPs. That is 6 times more shading units, 3 times more TMUs, and 3 times more ROPs on the NVIDIA side. The RT core count follows the same pattern: 4 RT cores on the Intel part versus 24 RT cores on the NVIDIA part. Additionally, the NVIDIA GPU includes 96 tensor cores, whereas the Intel GPU lists no tensor core count at all.

Clock behavior differs meaningfully. The Intel part has a base clock of 300 MHz and a boost of 2300 MHz, a wide dynamic range that suggests aggressive power management. The NVIDIA part has a base of 1635 MHz and a boost of 2115 MHz, a narrower range and higher floor. The memory architecture is fundamentally different: the Intel GPU relies on System Shared memory with system-dependent bandwidth, while the NVIDIA GPU uses dedicated 8 GB GDDR6 on a 128-bit bus with 256.0 GB/s of bandwidth.

Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Both are integrated-class parts with IGP slot width and no power connectors. The bus interface differs: Intel uses IGP, while NVIDIA uses PCIe 4.0 x16. Display outputs are portable device dependent for both.

Head-to-Head Benchmarks

The recorded data shows no direct benchmark scores for either GPU in this comparison, and no nearest rival data is available. The analysis therefore rests on the specification-level computed rates and throughput figures, which serve as the measurable performance indicators in the database.

In pixel throughput, the NVIDIA RTX 2000 Mobile Ada Generation delivers 101.5 GPixel/s, while the Intel Arc Graphics 4 Xe Mobile delivers 36.80 GPixel/s. The NVIDIA part is approximately 2.8 times faster in pixel fill rate. In texture throughput, the NVIDIA GPU achieves 203.0 GTexel/s versus 73.60 GTexel/s on the Intel GPU, a ratio of about 2.8 times as well.

The FP32 compute figures show the largest gap. The NVIDIA GPU reaches 12.99 TFLOPS, while the Intel GPU reaches 2.355 TFLOPS. That makes the NVIDIA part roughly 5.5 times faster in single-precision floating-point throughput. The FP16 comparison is more nuanced: the NVIDIA GPU maintains 12.99 TFLOPS with a 1:1 ratio, while the Intel GPU reaches 4.710 TFLOPS with a 2:1 ratio. The NVIDIA part still leads by about 2.8 times in raw FP16 throughput, but the Intel part's 2:1 ratio indicates it is using packed execution to achieve that figure.

The base clock comparison is notable in the opposite direction. The Intel GPU's base clock of 300 MHz is far lower than the NVIDIA GPU's 1635 MHz base, but the boost clocks are close: 2300 MHz for Intel versus 2115 MHz for NVIDIA. The Intel boost clock is 185 MHz higher, which partially compensates for the massive difference in execution resources, but not enough to close the throughput gap.

Memory bandwidth is a decisive differentiator. The NVIDIA GPU has 256.0 GB/s of dedicated bandwidth, while the Intel GPU's bandwidth is system dependent. In an integrated shared-memory configuration, the Intel part will compete with the CPU for memory bandwidth, which the database flags as system dependent. The NVIDIA part's fixed 256.0 GB/s provides predictable performance for bandwidth-bound workloads.

Specification Differences

The two GPUs differ across nearly every specification field. The process node differs: 3 nm for Intel, 5 nm for NVIDIA. The foundry differs: Intel for the Intel part, TSMC for the NVIDIA part. The NVIDIA chip has known transistor count of 18,900 million and die size of 159 mm², giving a transistor density of 118.9M / mm², while the Intel chip's transistor count and die size are unknown.

Clock specifications differ: base clock is 300 MHz on Intel versus 1635 MHz on NVIDIA; boost clock is 2300 MHz on Intel versus 2115 MHz on NVIDIA. Memory configuration differs completely: Intel uses System Shared memory with System Shared type, bus width, and System Dependent bandwidth; NVIDIA uses 8 GB GDDR6 on a 128-bit bus with 256.0 GB/s bandwidth.

Compute unit counts differ: shading units are 512 versus 3072, TMUs are 32 versus 96, ROPs are 16 versus 48, RT cores are 4 versus 24, and tensor cores are absent on Intel versus 96 on NVIDIA. Throughput rates differ: pixel rate is 36.80 GPixel/s versus 101.5 GPixel/s, texture rate is 73.60 GTexel/s versus 203.0 GTexel/s, FP32 is 2.355 TFLOPS versus 12.99 TFLOPS, and FP16 is 4.710 TFLOPS (2:1) versus 12.99 TFLOPS (1:1).

TDP differs: 25 W for Intel versus 50 W for NVIDIA. Bus interface differs: IGP for Intel versus PCIe 4.0 x16 for NVIDIA. Release dates differ: 2026-01-26 for Intel versus 2023-03-20 for NVIDIA. The NVIDIA part has a predecessor (Ampere-MW) and successor (Blackwell-MW), while the Intel part lists neither.

The Verdict

The data indicates a decisive performance advantage for the NVIDIA RTX 2000 Mobile Ada Generation across every measurable throughput category. The FP32 compute advantage of 12.99 TFLOPS versus 2.355 TFLOPS, the pixel rate advantage of 101.5 GPixel/s versus 36.80 GPixel/s, and the texture rate advantage of 203.0 GTexel/s versus 73.60 GTexel/s all point in the same direction. The NVIDIA part also brings dedicated 8 GB GDDR6 memory with 256.0 GB/s bandwidth, tensor cores, and 6 times the shading units.

The Intel Arc Graphics 4 Xe Mobile holds advantages in process node (3 nm versus 5 nm), boost clock (2300 MHz versus 2115 MHz), and TDP (25 W versus 50 W). These are meaningful for efficiency-oriented designs, but they do not translate into higher compute throughput in the recorded data. The Intel part's 2:1 FP16 ratio gives it a relative efficiency story, but the absolute FP16 throughput still trails the NVIDIA part by roughly 2.8 times.

The percentile ranking for both GPUs is 50 out of all GPUs in the database, and the average benchmark score for both is 0, indicating no benchmark results have been recorded for either part. Without benchmark data, the specification-level rates are the only measurable performance indicators, and they consistently favor the NVIDIA GPU.

The release timeline also matters: the NVIDIA part has been available since 2023-03-20 and is established, while the Intel part is scheduled for 2026-01-26. The NVIDIA part has a known successor in Blackwell-MW, while the Intel part lists no successor.

Where Each One Wins

The NVIDIA RTX 2000 Mobile Ada Generation wins in raw compute throughput. Applications that depend on FP32 math, such as general compute workloads, will see the 5.5 times advantage in single-precision throughput. The 24 RT cores versus 4 RT cores gives the NVIDIA part a clear edge in ray-traced rendering workloads, and the 96 tensor cores provide dedicated hardware for AI inference tasks that the Intel part cannot match with no tensor core count listed.

The NVIDIA GPU wins in memory bandwidth predictability. With 256.0 GB/s of dedicated GDDR6 bandwidth, it does not compete with the CPU for system memory access. The Intel part's system-dependent bandwidth means its effective memory performance will vary based on the host platform, which the database flags as a variable rather than a fixed specification.

The NVIDIA GPU wins in pixel and texture throughput. The 101.5 GPixel/s pixel rate and 203.0 GTexel/s texture rate are approximately 2.8 times the Intel part's 36.80 GPixel/s and 73.60 GTexel/s. Rasterization-heavy workloads will favor the NVIDIA part.

The Intel Arc Graphics 4 Xe Mobile wins in power efficiency per the recorded TDP. At 25 W, it draws half the power of the NVIDIA part's 50 W while delivering its throughput figures. For thermally constrained designs, the Intel part offers a lower power envelope. The Intel part also wins on process node, using 3 nm versus 5 nm, and on boost clock, at 2300 MHz versus 2115 MHz, which may translate to responsiveness in lightly threaded or bursty workloads.

The Intel GPU wins on FP16 efficiency. Its 4.710 TFLOPS at 2:1 ratio means it is using packed FP16 execution to double its FP32 rate, while the NVIDIA part runs FP16 at 1:1, matching its FP32 rate. For workloads that can use FP16 math, the Intel part closes the gap to roughly 2.8 times behind the NVIDIA part, a smaller deficit than the FP32 gap.

Neither GPU wins in benchmark results because no benchmark scores exist in the database. Both parts carry an average benchmark score of 0 and a 50th percentile ranking. The verdict rests entirely on the specification-derived rates and architectural capabilities recorded in the database.