Intel Arc G3 vs NVIDIA RTX 3500 Mobile Ada Generation Comparison

Intel Arc G3 and NVIDIA RTX 3500 Mobile Ada Generation occupy different positions in the mobile graphics space. The Intel part is an integrated GPU built on the Panther Lake chip, while the NVIDIA part is a discrete-class mobile solution using the AD104 die. The database shows the RTX 3500 Mobile Ada Generation as having a substantially larger compute footprint, higher memory bandwidth, and a dedicated 12 GB frame buffer, whereas the Arc G3 relies on system-shared memory. Both support DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, but their underlying hardware designs diverge sharply in scale and capability.

Where Each One Wins

The RTX 3500 Mobile Ada Generation wins on nearly every raw throughput metric recorded in the database. Its FP32 throughput of 15.82 TFLOPS more than doubles the Arc G3’s 6.144 TFLOPS, indicating a clear advantage in general-purpose compute and traditional rasterization workloads. Texture fill rate follows the same pattern: the NVIDIA part reaches 247.2 GTexel/s against the Intel part’s 96.00 GTexel/s, so texture-heavy scenes and shader work will lean heavily toward the RTX solution. Pixel throughput also favors the NVIDIA part, with 98.88 GPixel/s versus 48.00 GPixel/s, which translates to a meaningful edge in fill-rate-bound scenarios like high-resolution rendering or heavy post-processing.

The Arc G3’s wins are narrower and structural. It operates at a 25 W TDP, which is one-quarter of the RTX 3500 Mobile Ada Generation’s 100 W TDP. For thermally constrained thin-and-light laptops, the Intel part presents a far lower power draw, and its base clock of 300 MHz with a boost of 2400 MHz suggests the architecture prioritizes efficiency over brute force. The Arc G3 also uses system-shared memory, which eliminates the need for dedicated VRAM allocation, potentially simplifying system design. However, the data shows no benchmark suite results for either part, so the recorded wins are purely derived from specification-level capabilities rather than measured application performance.

The RTX 3500 Mobile Ada Generation has 5120 shading units, 160 texture mapping units, 64 raster output units, 40 ray tracing cores, and 160 tensor cores. The Arc G3 counters with 1280 shading units, 40 TMUs, 20 ROPs, and 10 ray tracing cores, with no tensor core count listed. That 4:1 ratio in shading units and ray tracing cores indicates the NVIDIA part is built for heavier workloads, including ray-traced effects and AI-accelerated features, while the Intel part appears aimed at lighter integrated use cases.

Architecture Differences

The two GPUs come from different manufacturing and design philosophies. The Intel Arc G3 uses the Xe3-LPG architecture on a 3 nm process node from Intel’s own foundry. The NVIDIA RTX 3500 Mobile Ada Generation uses the Ada Lovelace architecture on a 5 nm process node from TSMC. The Intel chip is named Panther Lake, and the NVIDIA chip is AD104, both being newer-generation designs, but the scale of the silicon differs markedly. The NVIDIA die measures 294 mm² and contains 35,800 million transistors, with a transistor density of 121.8M per mm². The Intel part’s die size and transistor count are listed as unknown, so the database cannot confirm its physical footprint.

Memory architecture separates the two further. The Arc G3 uses system-shared memory for both size and type, with bandwidth marked as system dependent. The RTX 3500 Mobile Ada Generation has 12 GB of GDDR6 memory on a 192-bit bus, delivering 432.0 GB/s of bandwidth. The NVIDIA memory clock is listed at 2250 MHz with 18 Gbps effective data rate. This dedicated high-bandwidth memory pool is a fundamental advantage for the RTX part, as it does not contend with CPU and system memory traffic. The Intel part’s shared memory approach means its effective bandwidth depends entirely on the host platform, which the database marks as system dependent.

Compute feature sets also differ. The RTX 3500 Mobile Ada Generation includes 160 tensor cores, which the database does not list for the Arc G3. FP16 processing on the NVIDIA part runs at 15.82 TFLOPS with a 1:1 ratio to FP32, while the Arc G3’s FP16 is 12.29 TFLOPS using a 2:1 ratio, meaning the Intel part halves its FP32 throughput for FP16 work. The NVIDIA part’s 1:1 FP16 rate indicates it does not need to sacrifice FP32 performance for half-precision tasks, a notable architectural distinction for mixed-precision workloads.

The bus interface also differs: the Arc G3 connects via IGP, and the RTX 3500 Mobile Ada Generation uses PCIe 4.0 x16. Both are listed as having portable device dependent display outputs and no power connectors, but the NVIDIA part’s PCIe interface allows for a discrete connection to the host, whereas the Intel part is integrated into the Panther Lake package.

Head-to-Head Benchmarks

The database contains no head-to-head benchmark entries for these two GPUs, so direct application-level comparisons are unavailable. Instead, the recorded specification data provides the basis for comparison. The most decisive difference is raw FP32 compute: the RTX 3500 Mobile Ada Generation’s 15.82 TFLOPS is approximately 2.6 times the Arc G3’s 6.144 TFLOPS. In texture throughput, the NVIDIA part’s 247.2 GTexel/s is about 2.6 times the Intel part’s 96.00 GTexel/s. Pixel rate shows a similar gap: 98.88 GPixel/s versus 48.00 GPixel/s, a 2.1 times difference. These ratios indicate that across the three primary rasterization throughput metrics, the NVIDIA part holds a consistent and large lead.

Memory bandwidth presents the largest proportional gap. The RTX 3500 Mobile Ada Generation’s 432.0 GB/s dedicated bandwidth contrasts with the Arc G3’s system-dependent bandwidth, which cannot be quantified from the database. Even if a host system provided a fast shared memory configuration, the direct comparison favors the NVIDIA part by design. The Arc G3’s boost clock of 2400 MHz exceeds the RTX part’s boost of 1545 MHz, but the NVIDIA part compensates with far more execution units, so the clock advantage does not translate into higher aggregate throughput.

Ray tracing resources also favor the NVIDIA part heavily. The RTX 3500 Mobile Ada Generation has 40 ray tracing cores versus the Arc G3’s 10, a 4:1 ratio. Tensor cores exist only on the NVIDIA part, with 160 listed, so any AI-accelerated workloads, such as DLSS-style features, have no equivalent resource on the Intel GPU per the database. The Arc G3 does support DirectX 12 Ultimate and Vulkan 1.4, so it can run modern APIs, but the hardware resources for accelerated ray tracing and tensor operations are much smaller or absent.

Specification Differences

The two parts differ across nearly every datapoint in the database. The Arc G3 uses a 3 nm process from Intel, while the RTX 3500 Mobile Ada Generation uses a 5 nm process from TSMC. The NVIDIA chip has 35,800 million transistors on a 294 mm² die, whereas the Intel chip’s transistor count and die size are unknown. Base clocks differ substantially: 300 MHz for the Arc G3 versus 1110 MHz for the RTX part. Boost clocks are 2400 MHz versus 1545 MHz, respectively.

Shading units number 1280 on the Intel part and 5120 on the NVIDIA part. Texture mapping units are 40 versus 160, and raster output units are 20 versus 64. Ray tracing cores are 10 versus 40. Tensor cores are listed only for the NVIDIA part at 160. FP32 throughput is 6.144 TFLOPS versus 15.82 TFLOPS. FP16 throughput is 12.29 TFLOPS with a 2:1 ratio for Intel, versus 15.82 TFLOPS with a 1:1 ratio for NVIDIA. Pixel rate is 48.00 GPixel/s versus 98.88 GPixel/s, and texture rate is 96.00 GTexel/s versus 247.2 GTexel/s.

Memory size is system shared for Intel and 12 GB for NVIDIA. Memory type is system shared versus GDDR6. Bus width is system shared versus 192 bit. Bandwidth is system dependent versus 432.0 GB/s. TDP is 25 W versus 100 W. The bus interface is IGP versus PCIe 4.0 x16. The NVIDIA part has a predecessor listed as Ampere-MW and a successor as Blackwell-MW; the Intel part lists neither predecessor nor successor. Release dates differ: the Arc G3 is dated 2026-05-31, and the RTX 3500 Mobile Ada Generation is dated 2023-03-20.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The RTX 3500 Mobile Ada Generation delivers 15.82 TFLOPS, while the Intel Arc G3 delivers 6.144 TFLOPS.

Q: Does the Intel Arc G3 have dedicated video memory?

A: No, the Arc G3 uses system-shared memory for both size and type, with bandwidth listed as system dependent.

Q: How much memory bandwidth does the RTX 3500 Mobile Ada Generation provide?

A: It provides 432.0 GB/s from 12 GB of GDDR6 memory on a 192-bit bus.

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

A: The Arc G3 is rated at 25 W, and the RTX 3500 Mobile Ada Generation is rated at 100 W.

Q: Which GPU has tensor cores?

A: The RTX 3500 Mobile Ada Generation has 160 tensor cores; the database does not list tensor cores for the Intel Arc G3.

Q: What process nodes are used by each GPU?

A: The Intel Arc G3 uses a 3 nm process from Intel, and the RTX 3500 Mobile Ada Generation uses a 5 nm process from TSMC.

The Verdict

The data points to a clear performance hierarchy. The RTX 3500 Mobile Ada Generation dominates in compute throughput, memory bandwidth, shading resources, ray tracing cores, and tensor capabilities. Any workload that stresses FP32 arithmetic, texture filtering, pixel fill, or dedicated VRAM will favor the NVIDIA part. Its 12 GB GDDR6 frame buffer with 432.0 GB/s bandwidth removes memory contention entirely, a decisive factor for large datasets or high-resolution textures. The 4:1 advantage in shading units and ray tracing cores further cements its position for graphics-intensive and ray-traced applications.

The Intel Arc G3 wins on power efficiency. At 25 W, it draws a quarter of the RTX part’s 100 W TDP. For ultra-portable devices where thermal headroom is minimal, the Arc G3 offers a functional integrated solution with modern API support. Its 2400 MHz boost clock is higher than the NVIDIA part’s 1545 MHz, but the execution unit count difference makes this irrelevant for aggregate performance. The system-shared memory approach also suits low-power designs, but it cannot match dedicated GDDR6 bandwidth.

Given the absence of benchmark scores in the database, these conclusions rest on specification-level analysis. The RTX 3500 Mobile Ada Generation is the higher-performing part by every measurable metric except power draw and clock speed. The Arc G3 is the lower-power integrated option, suited for systems where 100 W is not available or acceptable. The recorded data does not support any scenario where the Arc G3 outperforms the RTX part in raw graphics throughput; instead, the Intel part’s role is efficiency-oriented integrated graphics, while the NVIDIA part targets discrete-class mobile performance.