Intel Arc Pro B70 vs NVIDIA RTX 3500 Embedded Ada Generation Comparison

The Intel Arc Pro B70 and the NVIDIA RTX 3500 Embedded Ada Generation are two professional graphics solutions aimed at different segments of the workstation market. The Arc Pro B70 is a full-size, dual-slot add-in card, while the RTX 3500 Embedded is a low-power, integrated-class GPU designed for compact or embedded systems. The database contains no direct head-to-head benchmark results for these two products, so a comparison must rely on their recorded specifications, architecture details, and the broader performance indicators available in the database.

Head-to-Head Benchmarks

The database does not list any direct benchmark scores for either the Intel Arc Pro B70 or the NVIDIA RTX 3500 Embedded Ada Generation. The recorded `avgBenchmarkScore` for both products is zero, and the `headToHeadBenchmarks` array is empty. Consequently, there are no measured frame rates, compute scores, or rendering times to compare directly. Both products sit at the 50th percentile in the database’s overall GPU ranking, which places them in the middle of the performance distribution, but this percentile is based on aggregate data and does not reflect any specific workload. Without recorded measurements, any quantitative comparison must be derived from the theoretical specifications, such as shading unit counts, clock speeds, and memory bandwidth, all of which are present in the database.

The most significant disparity in raw compute throughput is minimal. The Intel Arc Pro B70 delivers a peak FP32 rate of 22.94 TFLOPS, while the NVIDIA RTX 3500 Embedded Ada Generation provides 23.04 TFLOPS. This difference is less than half a percent, meaning the two products are essentially tied in single-precision floating-point performance on paper. However, the FP16 capabilities diverge sharply. The Intel card achieves 45.88 TFLOPS with a 2:1 ratio, whereas the NVIDIA card sustains 23.04 TFLOPS with a 1:1 ratio. This indicates that the Arc Pro B70 has a distinct advantage in workloads that utilize half-precision arithmetic, such as certain AI inference tasks or specific scientific simulations, effectively doubling its throughput compared to the RTX 3500.

In contrast, the NVIDIA part holds a lead in ray tracing hardware. The RTX 3500 Embedded includes 40 RT cores, while the Arc Pro B70 has 32. The NVIDIA GPU also features 160 tensor cores, which are absent from the Intel specification sheet. This suggests that the NVIDIA product is better equipped for ray-traced rendering and tensor-accelerated operations, such as DLSS or similar neural network-based features. The pixel and texture fill rates favor the Intel card decisively. The Arc Pro B70 reaches 358.4 GPixel/s and 716.8 GTexel/s, while the RTX 3500 achieves only 144.0 GPixel/s and 360.0 GTexel/s. This means the Intel card is more than twice as fast in pixel output and nearly twice as fast in texture filtering, which could translate to better performance in traditional rasterization-heavy tasks at high resolutions.

Memory bandwidth also separates the two. The Arc Pro B70 uses a 256-bit bus with 32 GB of GDDR6 memory, yielding 608.0 GB/s of bandwidth. The RTX 3500 uses a 192-bit bus with 12 GB of GDDR6, providing 432.0 GB/s. The Intel card offers 176 GB/s more bandwidth, a 41% advantage, which is critical for large datasets, high-resolution textures, or compute workloads that are memory-bound. The NVIDIA card compensates with a higher boost clock relationship relative to its base clock, but its absolute boost speed of 2250 MHz is lower than the Intel card’s 2800 MHz boost. The Intel part also operates at a higher base clock of 2280 MHz versus 1725 MHz for the NVIDIA part. These clock differences contribute to the fill rate advantages noted earlier.

FAQ

Q: Which card has higher FP32 compute performance?

A: The NVIDIA RTX 3500 Embedded Ada Generation is marginally ahead with 23.04 TFLOPS, compared to 22.94 TFLOPS for the Intel Arc Pro B70. The difference is less than 1%, making them effectively equivalent in raw single-precision throughput.

Q: How does memory capacity differ between the two?

A: The Intel Arc Pro B70 ships with 32 GB of GDDR6 memory on a 256-bit bus, while the NVIDIA RTX 3500 Embedded has 12 GB on a 192-bit bus. The Intel card also provides higher bandwidth at 608.0 GB/s versus 432.0 GB/s for the NVIDIA part.

Q: Does either card include dedicated tensor cores?

A: Only the NVIDIA RTX 3500 Embedded lists tensor cores, with a total of 160. The Intel Arc Pro B70 specification does not include a tensor core count, indicating that it lacks this specific hardware for AI-accelerated workloads.

Q: What are the power requirements for each GPU?

A: The Intel Arc Pro B70 has a TDP of 230 W and requires a single 8-pin power connector, with a suggested PSU of 550 W. The NVIDIA RTX 3500 Embedded has a TDP of 100 W, uses no power connectors, and suggests a 300 W PSU.

Q: Which card supports a higher PCIe interface?

A: The Intel Arc Pro B70 uses PCIe 5.0 x16, while the NVIDIA RTX 3500 Embedded uses PCIe 4.0 x16. The Intel card offers a newer generation interface with potentially higher bandwidth for data transfer.

Q: Are there any display outputs on the NVIDIA card?

A: No, the RTX 3500 Embedded has no display outputs. The Intel Arc Pro B70 includes 1x HDMI 2.1a and 3x DisplayPort 2.1 outputs.

Where Each One Wins

The Intel Arc Pro B70 wins in scenarios that demand high memory capacity and bandwidth. Its 32 GB frame buffer is more than double the 12 GB of the NVIDIA card, making it suitable for large-scale 3D rendering, complex scientific visualizations, or AI training datasets that exceed 12 GB. The 608.0 GB/s bandwidth provides a substantial advantage for texture streaming and data-intensive compute kernels. The Intel card also leads in pixel and texture fill rates, with 358.4 GPixel/s and 716.8 GTexel/s, which suggests it handles high-resolution rasterization and heavy texture filtering more efficiently. Its FP16 throughput of 45.88 TFLOPS is twice that of the NVIDIA card, so workloads that leverage half-precision math, such as certain machine learning inference or image processing pipelines, will see a clear performance benefit. The Intel card also offers direct display outputs and a higher boost clock of 2800 MHz, which can improve responsiveness in interactive applications.

The NVIDIA RTX 3500 Embedded Ada Generation wins in efficiency and specialized hardware. Its TDP of 100 W is less than half the Intel card’s 230 W, making it the preferred choice for thermally constrained or battery-powered systems. The absence of power connectors and its IGP slot width indicate it is designed for direct board mounting in compact embedded devices. The 40 RT cores and 160 tensor cores provide hardware acceleration for ray tracing and AI-based features, which the Intel card lacks. This gives the NVIDIA product a functional edge in professional 3D applications that rely on ray-traced shadows, reflections, or denoising, as well as in workflows that use TensorRT or similar frameworks. The FP32 performance is nearly identical, so the NVIDIA card does not sacrifice compute power for its lower energy draw. Its predecessor and successor being Ampere-MW and Blackwell-MW, respectively, indicates a distinct embedded product line with a specific ecosystem.

Specification Differences

The two products differ across nearly every major specification category. The Intel Arc Pro B70 uses a 368 mm² die, while the NVIDIA RTX 3500 Embedded uses a smaller 294 mm² die. The NVIDIA chip contains 35,800 million transistors, whereas the Intel transistor count is unknown. The Intel card has 4096 shading units, 256 TMUs, and 128 ROPs, compared to 5120 shading units, 160 TMUs, and 64 ROPs for the NVIDIA card. This means the NVIDIA GPU has more shading units but fewer texture and pixel units. The RT core count is 40 for NVIDIA versus 32 for Intel, and NVIDIA includes 160 tensor cores while Intel has none listed. The Intel card has a base clock of 2280 MHz and a boost of 2800 MHz, while the NVIDIA part runs at 1725 MHz base and 2250 MHz boost. Memory configurations differ: Intel offers 32 GB at 19 Gbps effective, and NVIDIA offers 12 GB at 18 Gbps effective. The bus widths are 256-bit versus 192-bit. Power consumption is 230 W versus 100 W, with the Intel card requiring a dual-slot form factor and one 8-pin connector, while the NVIDIA card is IGP with no connectors. The bus interface is PCIe 5.0 x16 for Intel and PCIe 4.0 x16 for NVIDIA. Display outputs are present only on the Intel card. The release dates are 2026-03-25 for Intel and 2023-03-20 for NVIDIA.

Architecture Differences

The Intel Arc Pro B70 is built on the Xe2-HPG architecture, specifically using the BMG-G31 chip, and belongs to the Battlemage (Pro Series) generation. It is fabricated on a 5 nm process by TSMC. The NVIDIA RTX 3500 Embedded Ada Generation uses the Ada Lovelace architecture with the AD104 chip, also on a 5 nm TSMC process, but it is part of the GeForce 30-series family and the Ada-MW generation. The Intel architecture does not list tensor cores, while Ada Lovelace explicitly includes them. The NVIDIA chip has a transistor density of 121.8M per mm², a figure not provided for the Intel part. The memory types are both GDDR6, but the Intel card uses a wider interface and higher effective clock. The Intel architecture supports FP16 at a 2:1 ratio, indicating that the hardware can perform two FP16 operations per FP32 operation, whereas the NVIDIA architecture operates at a 1:1 ratio, meaning FP16 throughput equals FP32. This architectural choice reflects different design priorities: Intel focuses on high-throughput rasterization and half-precision compute, while NVIDIA emphasizes ray tracing and tensor-based features within a lower power envelope. The NVIDIA card’s lack of display outputs reinforces its embedded design, often paired with a separate display controller. The Intel card’s dual-slot cooler and 8-pin connector align with a traditional desktop workstation add-in card. The process nodes are identical at 5 nm, and both support DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, so software API compatibility is equal. The Intel card’s die size is larger, which correlates with its higher ROP and TMU counts, while the NVIDIA card’s smaller die and lower TDP indicate a more power-efficient design tailored for mobile or embedded deployments.