Intel Arc Pro B70 vs NVIDIA RTX 5000 Embedded Ada Generation X2 Comparison

Head-to-Head Benchmarks

The recorded database contains no head-to-head benchmark entries for these two accelerators, and neither part has an average benchmark score or nearest rival data populated. The percentile versus all GPUs is identical for both at 50, which places them at the midpoint of the database distribution, but that figure carries no comparative weight without supporting benchmark runs. What the data does provide is a set of theoretical peak rates that can be compared directly, and those numbers show a split between raw compute throughput and pixel/texture throughput.

The NVIDIA RTX 5000 Embedded Ada Generation X2 delivers 32.69 TFLOPS of FP32 compute, which is 42.5% higher than the Intel Arc Pro B70's 22.94 TFLOPS. The gap in FP16 is even more pronounced in the opposite direction: the Intel part reaches 45.88 TFLOPS using a 2:1 ratio, while the NVIDIA part stays at 32.69 TFLOPS with a 1:1 ratio. That means the Arc Pro B70 is 40.3% ahead in FP16 throughput, a meaningful advantage for workloads that can use reduced precision. The NVIDIA card counters with 304 tensor cores against none listed for Intel, so any AI inference or training workload that relies on tensor operations will favor the NVIDIA part by a wide margin, though the database does not provide a direct tensor TFLOPS figure to quantify that gap.

In rasterization throughput, the Intel part leads clearly. The Arc Pro B70 posts 358.4 GPixel/s pixel rate versus 188.2 GPixel/s for the RTX 5000 Embedded, a 90.4% advantage. Texture rate shows a similar story: 716.8 GTexel/s versus 510.7 GTexel/s, putting Intel 40.4% ahead. These numbers indicate the Intel card is built for fill-rate-heavy scenes, while the NVIDIA part leans on its higher shader count and tensor cores. Memory bandwidth also favors Intel: 608.0 GB/s against 576.0 GB/s, a 5.6% edge, with both using a 256-bit bus. The Intel card carries 32 GB of GDDR6 versus 16 GB on the NVIDIA part, doubling the capacity.

Clock speeds differ substantially. The Intel part runs a base clock of 2280 MHz and boosts to 2800 MHz. The NVIDIA part sits at 930 MHz base and 1680 MHz boost. That clock gap explains why the Intel card achieves competitive pixel and texture rates despite having fewer shading units: 4096 versus 9728. The NVIDIA part relies on massive parallelism at lower clocks, while Intel uses fewer, faster cores.

Architecture Differences

The two accelerators come from different design philosophies. The Intel Arc Pro B70 uses the Xe2-HPG architecture on the BMG-G31 chip, part of the Battlemage Pro Series generation. The NVIDIA RTX 5000 Embedded Ada Generation X2 uses the Ada Lovelace architecture on the AD103 chip, part of the Ada-MW generation. Both are fabricated on a 5 nm process at TSMC, so the manufacturing node is identical. Die sizes are close: 368 mm² for Intel and 379 mm² for NVIDIA. The NVIDIA die packs 45,900 million transistors, giving a density of 121.1 million per square millimeter, while the Intel transistor count is listed as unknown, so density cannot be calculated.

The NVIDIA part has a much wider compute layout: 9728 shading units, 304 texture mapping units, 112 raster output units, 76 ray tracing cores, and 304 tensor cores. The Intel part offers 4096 shading units, 256 TMUs, 128 ROPs, and 32 ray tracing cores, with no tensor core count listed. The ROP count is the only rasterization resource where Intel has more hardware, and it shows in the pixel rate. The TMU advantage for NVIDIA is 304 versus 256, yet Intel still delivers higher texture rate due to its clock advantage.

Memory architecture differs in capacity and speed. Intel pairs 32 GB of GDDR6 at 2375 MHz (19 Gbps effective) for 608.0 GB/s. NVIDIA pairs 16 GB of GDDR6 at 2250 MHz (18 Gbps effective) for 576.0 GB/s. Both use a 256-bit bus. The Intel card requires a 230 W TDP with a single 8-pin power connector and a suggested 550 W power supply, while the NVIDIA embedded part draws 150 W and lists no power connector, as it is designed for portable or integrated deployments. The bus interface also differs: Intel uses PCIe 5.0 x16, NVIDIA uses PCIe 4.0 x16.

Display outputs reflect their intended markets. The Intel card provides 1x HDMI 2.1a and 3x DisplayPort 2.1, making it suitable for desktop workstations. The NVIDIA embedded part lists display outputs as portable device dependent, confirming its role in laptops or compact systems. Physical dimensions follow the same split: the Intel card is 267 mm long, 110 mm tall, and 39 mm wide in a dual-slot configuration, while the NVIDIA embedded part has no listed dimensions and uses an IGP slot width. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical.

The Verdict

The data points to a clear division of roles. The Intel Arc Pro B70 wins on memory capacity, memory bandwidth, pixel rate, texture rate, FP16 throughput, and clock speed. The NVIDIA RTX 5000 Embedded Ada Generation X2 wins on FP32 throughput, shading unit count, tensor core availability, ray tracing core count, and power efficiency. The launch MSRP for the Intel part is 949 USD, while no launch MSRP is recorded for the NVIDIA part.

For builders who prioritize raw shader compute in FP32, especially in applications that do not use reduced precision or tensor acceleration, the NVIDIA part is the stronger choice at 42.5% higher FP32 throughput. For workloads that lean on fill rate, such as high-resolution rasterization or texture-heavy rendering, the Intel part delivers nearly double the pixel rate and 40.4% more texture rate. The 32 GB memory capacity on the Intel card is a decisive advantage for large datasets, and the 5.6% bandwidth lead reinforces that position. The NVIDIA card's 150 W TDP versus 230 W makes it the clear pick for thermally constrained or portable systems, especially given its IGP form factor and lack of power connectors.

The absence of tensor cores on the Intel side is a critical gap for any machine learning or AI inference task, as the NVIDIA part's 304 tensor cores are the only listed hardware accelerator for that domain. The NVIDIA card also has more than double the ray tracing cores, 76 versus 32, which suggests better ray-traced rendering performance, though no benchmark scores confirm this. The Intel card's higher boost clock of 2800 MHz versus 1680 MHz indicates it can sustain faster execution per core, but the NVIDIA card's 9728 shading units compensate through parallelism. The verdict from the recorded specifications: Intel for memory-heavy and fill-rate-limited workloads, NVIDIA for compute-heavy and AI-oriented tasks, with power and form factor constraints favoring NVIDIA in embedded designs.

FAQ

Q: Which card has more memory?

A: The Intel Arc Pro B70 has 32 GB of GDDR6, while the NVIDIA RTX 5000 Embedded Ada Generation X2 has 16 GB of GDDR6.

Q: What is the FP32 performance difference?

A: The NVIDIA part delivers 32.69 TFLOPS of FP32, which is 42.5% higher than the Intel part's 22.94 TFLOPS.

Q: Which card has better memory bandwidth?

A: The Intel Arc Pro B70 has 608.0 GB/s of bandwidth, compared to 576.0 GB/s for the NVIDIA part, a 5.6% lead for Intel.

Q: Do both cards support the same APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the power draw for each card?

A: The Intel Arc Pro B70 has a 230 W TDP and requires a 1x 8-pin power connector with a 550 W suggested power supply. The NVIDIA RTX 5000 Embedded Ada Generation X2 has a 150 W TDP and lists no power connector.

Q: Which card has more shading units?

A: The NVIDIA RTX 5000 Embedded Ada Generation X2 has 9728 shading units, while the Intel Arc Pro B70 has 4096 shading units.

Where Each One Wins

The Intel Arc Pro B70 wins in memory capacity, 32 GB versus 16 GB, which makes it the choice for datasets that exceed the NVIDIA card's capacity. It also wins in memory bandwidth at 608.0 GB/s, pixel rate at 358.4 GPixel/s, and texture rate at 716.8 GTexel/s. Its FP16 throughput of 45.88 TFLOPS is 40.3% ahead of the NVIDIA part, so workloads that can use 2:1 FP16 will run faster on Intel. The higher base and boost clocks, 2280 MHz and 2800 MHz, give it a per-core speed advantage that benefits latency-sensitive tasks. The PCIe 5.0 x16 interface doubles the bus bandwidth available versus the NVIDIA card's PCIe 4.0 x16, which matters for data transfer in large memory workloads. The Intel card also provides fixed display outputs with 1x HDMI 2.1a and 3x DisplayPort 2.1, making it ready for multi-monitor desktop setups.

The NVIDIA RTX 5000 Embedded Ada Generation X2 wins in FP32 throughput at 32.69 TFLOPS, which is 42.5% higher than Intel. Its 304 tensor cores are the only listed tensor hardware, making it the sole choice for AI acceleration in this comparison. The 76 ray tracing cores versus 32 give it a strong theoretical edge in ray-traced rendering. The 9728 shading units provide massive parallelism for compute-heavy shader workloads. The 150 W TDP is 34.8% lower than the Intel card's 230 W, and the IGP form factor with no power connector makes it suitable for portable devices where the Intel card's dual-slot, 267 mm length cannot fit. The 121.1 million transistors per square millimeter density indicates a more compact logic implementation, which supports its embedded positioning.

Specification Differences

| Specification | Intel Arc Pro B70 | NVIDIA RTX 5000 Embedded Ada Generation X2 |

|---|---|---|

| Chip | BMG-G31 | AD103 |

| Architecture | Xe2-HPG | Ada Lovelace |

| Generation | Battlemage (Pro Series) | Ada-MW |

| Process node | 5 nm | 5 nm |

| Foundry | TSMC | TSMC |

| Transistors | Unknown | 45,900 million |

| Die size | 368 mm² | 379 mm² |

| Transistor density | Not listed | 121.1M / mm² |

| Base clock | 2280 MHz | 930 MHz |

| Boost clock | 2800 MHz | 1680 MHz |

| Memory clock | 2375 MHz 19 Gbps effective | 2250 MHz 18 Gbps effective |

| Memory size | 32 GB | 16 GB |

| Memory type | GDDR6 | GDDR6 |

| Memory bus width | 256 bit | 256 bit |

| Memory bandwidth | 608.0 GB/s | 576.0 GB/s |

| Shading units | 4096 | 9728 |

| TMUs | 256 | 304 |

| ROPs | 128 | 112 |

| Ray tracing cores | 32 | 76 |

| Tensor cores | Not listed | 304 |

| Pixel rate | 358.4 GPixel/s | 188.2 GPixel/s |

| Texture rate | 716.8 GTexel/s | 510.7 GTexel/s |

| FP32 | 22.94 TFLOPS | 32.69 TFLOPS |

| FP16 | 45.88 TFLOPS (2:1) | 32.69 TFLOPS (1:1) |

| TDP | 230 W | 150 W |

| Slot width | Dual-slot | IGP |

| Power connectors | 1x 8-pin | None |

| Suggested PSU | 550 W | Not listed |

| Bus interface | PCIe 5.0 x16 | PCIe 4.0 x16 |

| Display outputs | 1x HDMI 2.1a, 3x DisplayPort 2.1 | Portable Device Dependent |

| Dimensions | 267 mm x 110 mm x 39 mm | Not listed |

| Release date | 2026-03-25 | 2023-03-20 |

| Production status | Not listed | Active |

| Predecessor | Not listed | Ampere-MW |

| Successor | Not listed | Blackwell-MW |

| Launch MSRP | 949 USD | Not listed |

The table shows the two cards share the same process node, foundry, memory type, bus width, API support, and production status in terms of being available, but diverge across nearly every performance-relevant specification. The Intel card is newer by release date, larger in memory, and faster in fill rates, while the NVIDIA card packs more compute resources, tensor cores, and ray tracing hardware into a lower-power embedded form factor.