Intel Arc Pro B60 Dual vs NVIDIA RTX 3500 Mobile Ada Generation Comparison
Intel Arc Pro B60 Dual
RTX 3500 Mobile Ada Generation
Analysis: Intel Arc Pro B60 Dual vs NVIDIA RTX 3500 Mobile Ada Generation
Head-to-Head Benchmarks
The recorded data for the Intel Arc Pro B60 Dual and the NVIDIA RTX 3500 Mobile Ada Generation shows no direct benchmark entries, and both products occupy the same 50th percentile against all GPUs in the database. This absence of measured scores means the comparison must rely on architectural specifications and theoretical peak rates. The most decisive mathematical differences appear in compute throughput and memory capacity.
The NVIDIA RTX 3500 Mobile Ada Generation delivers a higher FP32 peak at 15.82 TFLOPS, which is 28.7% ahead of the Intel Arc Pro B60 Dual’s 12.29 TFLOPS. This advantage is substantial for raw single-precision compute workloads. However, the Intel card counters in FP16 performance: it reaches 24.58 TFLOPS with a 2:1 ratio, while the NVIDIA part achieves only 15.82 TFLOPS at a 1:1 ratio. The Intel GPU therefore holds a 55.4% lead in half-precision throughput, which matters for AI inference and certain scientific workloads that leverage FP16 accumulation.
Memory capacity strongly favors the Intel Arc Pro B60 Dual, which offers 24 GB of GDDR6 across a 192-bit bus, yielding 456.0 GB/s of bandwidth. The NVIDIA RTX 3500 Mobile Ada Generation provides 12 GB of GDDR6 on the same 192-bit bus, with 432.0 GB/s of bandwidth. The Intel card has double the memory capacity and 5.6% more bandwidth. For large datasets or models that exceed 12 GB, the Intel solution avoids spillover penalties entirely.
Pixel and texture throughput tell a mixed story. The Intel Arc Pro B60 Dual posts 192.0 GPixel/s and 384.0 GTexel/s, while the NVIDIA RTX 3500 Mobile Ada Generation achieves 98.88 GPixel/s and 247.2 GTexel/s. The Intel card is 94.2% faster in pixel fill and 55.3% faster in texture fill. These numbers suggest the Intel GPU has a clear edge in rasterization-heavy tasks, though the NVIDIA part’s higher shader count (5120 vs 2560 shading units) may compensate in geometry-heavy scenes.
Clock speeds differ significantly. The Intel Arc Pro B60 Dual runs at a 2000 MHz base and 2400 MHz boost, while the NVIDIA RTX 3500 Mobile Ada Generation operates at 1110 MHz base and 1545 MHz boost. The Intel card’s boost clock is 55.3% higher. This partly explains the fill rate advantages, despite the NVIDIA part’s additional 2560 shading units.
The NVIDIA RTX 3500 Mobile Ada Generation includes 160 tensor cores and 40 RT cores, whereas the Intel Arc Pro B60 Dual has 20 RT cores and no listed tensor cores. This gives the NVIDIA part a dedicated hardware path for tensor operations, while the Intel card relies on its FP16 throughput for similar tasks.
The Verdict
The data indicates a clear split in use cases. The NVIDIA RTX 3500 Mobile Ada Generation is the stronger choice for FP32 compute and tensor-based workloads, given its 15.82 TFLOPS FP32 peak and 160 tensor cores. The Intel Arc Pro B60 Dual is the better option for memory-hungry tasks and FP16-heavy workflows, with 24 GB of VRAM and 24.58 TFLOPS FP16 performance.
For rasterization and fill-rate-bound rendering, the Intel Arc Pro B60 Dual’s 192.0 GPixel/s and 384.0 GTexel/s dominate the NVIDIA part’s 98.88 GPixel/s and 247.2 GTexel/s. Professionals working with high-resolution framebuffers or heavy texture sampling would benefit from the Intel card.
The NVIDIA RTX 3500 Mobile Ada Generation is designed for mobile integration with a 100 W TDP and an IGP form factor, while the Intel Arc Pro B60 Dual requires a dual-slot footprint with a 400 W TDP and a 16-pin power connector. This makes the NVIDIA part suitable for portable workstation configurations, whereas the Intel card demands a desktop chassis with substantial cooling and power delivery.
Neither product has a benchmark score in the database, so the verdict rests on theoretical specifications. The NVIDIA GPU wins on shader count, tensor cores, and FP32 peak. The Intel GPU wins on memory capacity, FP16 throughput, pixel rate, texture rate, and clock speeds.
FAQ
Q: Which GPU has more memory?
A: The Intel Arc Pro B60 Dual has 24 GB of GDDR6, double the 12 GB of GDDR6 found on the NVIDIA RTX 3500 Mobile Ada Generation.
Q: Which GPU is faster in FP32 compute?
A: The NVIDIA RTX 3500 Mobile Ada Generation reaches 15.82 TFLOPS FP32, while the Intel Arc Pro B60 Dual reaches 12.29 TFLOPS FP32, making the NVIDIA part 28.7% faster in single-precision throughput.
Q: Which GPU has higher pixel fill rate?
A: The Intel Arc Pro B60 Dual achieves 192.0 GPixel/s, which is 94.2% higher than the NVIDIA RTX 3500 Mobile Ada Generation’s 98.88 GPixel/s.
Q: Does the Intel GPU have tensor cores?
A: No, the Intel Arc Pro B60 Dual has no listed tensor cores. The NVIDIA RTX 3500 Mobile Ada Generation includes 160 tensor cores.
Q: What are the power requirements?
A: The Intel Arc Pro B60 Dual has a 400 W TDP, requires a 1x 16-pin power connector, and suggests an 800 W PSU. The NVIDIA RTX 3500 Mobile Ada Generation has a 100 W TDP and uses no power connectors.
Q: Which GPU supports more display outputs?
A: The Intel Arc Pro B60 Dual provides 4x mini-DisplayPort 2.1 outputs, while the NVIDIA RTX 3500 Mobile Ada Generation’s display outputs are listed as portable device dependent.
Specification Differences
The two GPUs differ in several core specifications. The Intel Arc Pro B60 Dual uses the BMG-G21 chip with 19,600 million transistors on a 272 mm² die, while the NVIDIA RTX 3500 Mobile Ada Generation uses the AD104 chip with 35,800 million transistors on a 294 mm² die. Transistor density is higher on the NVIDIA part at 121.8M / mm² versus 72.1M / mm².
Memory capacity differs by 12 GB, with the Intel card holding 24 GB and the NVIDIA card holding 12 GB, both using GDDR6 on a 192-bit bus. Bandwidth is 456.0 GB/s for Intel and 432.0 GB/s for NVIDIA.
Shading units number 2560 on the Intel GPU and 5120 on the NVIDIA GPU. TMUs are equal at 160 each, but ROPs differ: 80 on the Intel card versus 64 on the NVIDIA card. RT cores are 20 on Intel and 40 on NVIDIA. The NVIDIA part has 160 tensor cores, while the Intel part has none.
Clock speeds are vastly different: the Intel card runs at 2000 MHz base and 2400 MHz boost, while the NVIDIA card runs at 1110 MHz base and 1545 MHz boost. Memory clocks are 2375 MHz (19 Gbps effective) on Intel and 2250 MHz (18 Gbps effective) on NVIDIA.
Power and form factor differ completely. The Intel Arc Pro B60 Dual is a dual-slot card with a 400 W TDP, 1x 16-pin connector, and an 800 W suggested PSU. The NVIDIA RTX 3500 Mobile Ada Generation is an IGP with a 100 W TDP and no power connectors. The Intel card measures 300 mm in length, 110 mm in height, and 40 mm in width, while the NVIDIA part has no listed dimensions.
Bus interfaces differ: the Intel card uses PCIe 5.0 x8, the NVIDIA card uses PCIe 4.0 x16. Display outputs are 4x mini-DisplayPort 2.1 on Intel and portable device dependent on NVIDIA. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
The release dates differ, with the NVIDIA RTX 3500 Mobile Ada Generation launching on March 20, 2023, and the Intel Arc Pro B60 Dual launching on September 4, 2025. The NVIDIA part has a predecessor (Ampere-MW) and successor (Blackwell-MW), while the Intel part has none listed.
Architecture Differences
The Intel Arc Pro B60 Dual uses the Xe2-HPG architecture on a 5 nm process at TSMC, belonging to the Battlemage (Pro Series) generation with the BMG-G21 chip. The NVIDIA RTX 3500 Mobile Ada Generation uses the Ada Lovelace architecture on the same 5 nm TSMC process, with the AD104 chip and the Ada-MW generation.
The transistor counts differ significantly: the NVIDIA chip packs 35,800 million transistors, while the Intel chip has 19,600 million. This results in a higher transistor density on the NVIDIA part (121.8M / mm²) compared to Intel (72.1M / mm²), despite similar die sizes.
The Intel GPU has 20 RT cores and no tensor cores, while the NVIDIA GPU has 40 RT cores and 160 tensor cores. The NVIDIA architecture therefore provides dedicated hardware for ray tracing and tensor operations, whereas the Intel architecture focuses on general shading and FP16 throughput.
Memory technology is the same (GDDR6), but the Intel card uses a higher effective data rate of 19 Gbps versus 18 Gbps on the NVIDIA card. Bandwidth remains close due to the same 192-bit bus width.
The Intel card’s FP16 capability is a 2:1 ratio relative to FP32, doubling its half-precision throughput to 24.58 TFLOPS. The NVIDIA card uses a 1:1 ratio, keeping FP16 equal to its 15.82 TFLOPS FP32 peak.
The NVIDIA RTX 3500 Mobile Ada Generation belongs to the GeForce 30-series family, while the Intel Arc Pro B60 Dual has no series designation. The NVIDIA part is explicitly positioned as a mobile product with an IGP form factor, while the Intel card is a dual-slot desktop board.
Where Each One Wins
The Intel Arc Pro B60 Dual wins in scenarios requiring large memory capacity. Its 24 GB frame buffer is double that of the NVIDIA RTX 3500 Mobile Ada Generation, making it suitable for datasets or render targets that exceed 12 GB. The bandwidth advantage of 456.0 GB/s versus 432.0 GB/s provides a marginal throughput benefit.
The Intel card also wins in FP16 compute, delivering 24.58 TFLOPS versus 15.82 TFLOPS. Workloads that use half precision for AI inference or scientific simulation would see a 55.4% theoretical peak advantage.
Rasterization and pixel-heavy workloads favor the Intel GPU. Its 192.0 GPixel/s pixel rate is 94.2% higher, and its 384.0 GTexel/s texture rate is 55.3% higher. Games or rendering pipelines that stress fill rate would benefit from the Intel architecture.
The NVIDIA RTX 3500 Mobile Ada Generation wins in FP32 compute with 15.82 TFLOPS versus 12.29 TFLOPS, a 28.7% advantage. General-purpose single-precision compute, physics simulations, and traditional graphics shading benefit from this lead.
The NVIDIA part wins in tensor operations due to its 160 dedicated tensor cores, which the Intel card lacks entirely. Machine learning training and inference using tensor core acceleration would favor the NVIDIA solution.
The NVIDIA GPU also wins in power efficiency and integration. Its 100 W TDP versus 400 W, along with an IGP form factor and no power connectors, makes it suitable for mobile workstations. The Intel card requires a desktop chassis with an 800 W suggested PSU.
Ray tracing workloads favor the NVIDIA RTX 3500 Mobile Ada Generation, which has 40 RT cores compared to 20 on the Intel Arc Pro B60 Dual. The NVIDIA part also has twice the shading units (5120 versus 2560), which may help in shader-bound scenes despite lower clocks.
The Intel Arc Pro B60 Dual offers 4x mini-DisplayPort 2.1 outputs, supporting multi-display professional setups. The NVIDIA RTX 3500 Mobile Ada Generation’s outputs are portable device dependent, which limits its fixed display configuration flexibility.