Intel Arc Pro B60 Dual vs NVIDIA Jetson T4000 Comparison

Head-to-Head Benchmarks

The recorded data shows no direct head-to-head benchmark scores for the Intel Arc Pro B60 Dual and the NVIDIA Jetson T4000. Both products have an empty benchmark array in the database, and the win count for each is zero. The percentile versus all GPUs is identical at 50 for both, indicating that without measured performance data, they sit at the midpoint of the database's tracked devices.

The absence of benchmark results means the comparison must rely on architectural specifications and theoretical throughput figures. The Intel Arc Pro B60 Dual delivers 12.29 TFLOPS of FP32 compute, while the NVIDIA Jetson T4000 delivers 4.700 TFLOPS. That places the Intel part at roughly 2.6 times the raw single-precision throughput of the NVIDIA part, a substantial gap in raw shading power. In FP16, the Intel card reaches 24.58 TFLOPS using a 2:1 ratio, while the Jetson T4000 maintains 4.700 TFLOPS at a 1:1 ratio, meaning the Intel card offers over five times the half-precision throughput.

Pixel throughput also favors the Intel card heavily. The Arc Pro B60 Dual achieves 192.0 GPixel/s, while the Jetson T4000 manages 24.48 GPixel/s, an eightfold difference. Texture rate shows a similar story: 384.0 GTexel/s versus 73.44 GTexel/s, a margin of more than five times. These figures indicate that for rasterization and texturing workloads, the Intel part has a decisive theoretical advantage.

However, the Jetson T4000 counters with a much larger memory pool. It ships with 64 GB of LPDDR5X across a 256-bit bus, delivering 273.2 GB/s of bandwidth. The Arc Pro B60 Dual has 24 GB of GDDR6 on a 192-bit bus, reaching 456.0 GB/s. The Intel card has higher bandwidth, but the NVIDIA part holds 2.67 times more memory capacity. For workloads that fit within a 24 GB footprint, the Intel card's bandwidth advantage matters; for datasets that spill beyond that, the Jetson T4000's capacity becomes the deciding factor.

The Tensor Core count differs as well. The Jetson T4000 includes 64 tensor cores, while the Intel Arc Pro B60 Dual has none listed. This makes the NVIDIA part the only one of the two with dedicated hardware for AI inference and matrix operations. The Intel card's FP16 throughput could be used for similar tasks, but it lacks the specialized tensor hardware that the Jetson T4000 brings to the table.

Architecture Differences

The two GPUs come from different architectural lineages. The Intel Arc Pro B60 Dual uses the BMG-G21 chip built on the Xe2-HPG architecture, part of the Battlemage (Pro Series) generation. The NVIDIA Jetson T4000 uses the GB10B chip built on the Blackwell architecture, part of the Server Blackwell (Bxx) generation. Both are fabricated by TSMC on a 5 nm process, so the manufacturing node does not differentiate them.

Die size and transistor counts tell a more nuanced story. The Intel chip measures 272 mm² and packs 19,600 million transistors, yielding a density of 72.1M per mm². The NVIDIA chip has a larger die at 391 mm², but its transistor count is listed as unknown, so a direct density comparison is not possible from the recorded data. The larger die size for NVIDIA suggests a more complex physical layout, but without transistor count, the architecture's efficiency cannot be assessed quantitatively.

Clock behavior separates the two as well. The Intel Arc Pro B60 Dual has a base clock of 2000 MHz and a boost clock of 2400 MHz, while the Jetson T4000 runs at a flat 1530 MHz for both base and boost. The Intel card's higher clocks directly contribute to its superior pixel, texture, and FP32 throughput figures. Memory clocks also differ: the Intel card runs at 2375 MHz with 19 Gbps effective speed, while the NVIDIA part runs at 1067 MHz with 8.5 Gbps effective speed.

The memory type is a fundamental architectural split. Intel uses GDDR6, a dedicated graphics memory standard with high bandwidth per pin. NVIDIA uses LPDDR5X, a low-power memory typically found in mobile and embedded contexts. The Jetson T4000's 256-bit bus width partially compensates for the lower clock speed, but the final bandwidth of 273.2 GB/s still trails the Intel card's 456.0 GB/s.

Feature support diverges sharply. The Intel Arc Pro B60 Dual supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA Jetson T4000 lists N/A for DirectX, OpenGL, and Vulkan, indicating it is not designed for traditional graphics API workloads. This reinforces the positioning of the Jetson T4000 as an embedded or server-oriented compute device rather than a consumer or workstation graphics card.

The Jetson T4000 includes 12 RT cores and 64 tensor cores, while the Intel card has 20 RT cores and no tensor core count. The Intel part has more ray tracing hardware, but the NVIDIA part's tensor cores give it a distinct advantage in AI and deep learning tasks. The Jetson T4000's predecessor is listed as Server Hopper and its successor as Server Rubin, placing it in a product family focused on datacenter and edge inference.

FAQ

Q: Which GPU has higher raw FP32 compute performance?

A: The Intel Arc Pro B60 Dual delivers 12.29 TFLOPS of FP32, which is approximately 2.6 times the 4.700 TFLOPS of the NVIDIA Jetson T4000.

Q: How do the memory configurations compare?

A: The Intel Arc Pro B60 Dual has 24 GB of GDDR6 with 456.0 GB/s bandwidth on a 192-bit bus. The NVIDIA Jetson T4000 has 64 GB of LPDDR5X with 273.2 GB/s bandwidth on a 256-bit bus. The Intel card has higher bandwidth, while the NVIDIA card has more capacity.

Q: Does either GPU include dedicated hardware for AI workloads?

A: The NVIDIA Jetson T4000 includes 64 tensor cores. The Intel Arc Pro B60 Dual does not list any tensor cores in the database, so the NVIDIA part is the only one with dedicated matrix acceleration hardware.

Q: What is the power consumption difference?

A: The Intel Arc Pro B60 Dual has a TDP of 400 W and requires a 16-pin power connector with a suggested power supply of 800 W. The NVIDIA Jetson T4000 has a TDP of 90 W, uses no power connectors, and has a suggested power supply of 250 W.

Q: Which GPU supports standard graphics APIs?

A: The Intel Arc Pro B60 Dual supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA Jetson T4000 lists N/A for all three APIs, indicating it does not support conventional graphics APIs.

Q: What are the physical dimensions and mounting differences?

A: The Intel Arc Pro B60 Dual is a dual-slot card measuring 300 mm in length, 110 mm in height, and 40 mm in width. The NVIDIA Jetson T4000 is an IGP (integrated graphics processor) measuring 87 mm in length, 100 mm in height, and 15 mm in width.

The Verdict

The data points to two very different use cases. The Intel Arc Pro B60 Dual is a workstation graphics card with full API support, high clock speeds, and strong rendering throughput. Its 12.29 TFLOPS of FP32, 192.0 GPixel/s pixel rate, and 384.0 GTexel/s texture rate make it the clear choice for traditional graphics, ray tracing, and compute workloads that rely on high raw throughput. The 20 RT cores and support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 confirm its role as a display-capable rendering device. Its 456.0 GB/s of memory bandwidth supports large textures and complex scenes.

The NVIDIA Jetson T4000 serves a different purpose. With 64 GB of LPDDR5X memory, 64 tensor cores, and no display outputs, it is built for embedded or server inference tasks where memory capacity and AI acceleration matter more than rasterization speed. Its 90 W TDP and lack of power connectors make it suitable for compact, low-power systems. The absence of DirectX, OpenGL, and Vulkan support indicates it is not intended for graphics rendering at all.

For users who need a GPU for rendering, gaming, or general compute with API support, the Intel Arc Pro B60 Dual is the only option of the two that can perform those tasks. For users who need a high-capacity, low-power inference engine with tensor core acceleration, the NVIDIA Jetson T4000 is the appropriate pick. The choice depends entirely on whether the workload is graphics-oriented or AI-oriented; the Intel card wins on raw throughput and bandwidth, while the NVIDIA card wins on memory capacity, power efficiency, and dedicated tensor hardware.

Specification Differences

| Specification | Intel Arc Pro B60 Dual | NVIDIA Jetson T4000 |

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

| Chip | BMG-G21 | GB10B |

| Architecture | Xe2-HPG | Blackwell |

| Generation | Battlemage (Pro Series) | Server Blackwell (Bxx) |

| Foundry | TSMC | TSMC |

| Transistors | 19,600 million | unknown |

| Die Size | 272 mm² | 391 mm² |

| Transistor Density | 72.1M / mm² | null |

| Base Clock | 2000 MHz | 1530 MHz |

| Boost Clock | 2400 MHz | 1530 MHz |

| Memory Clock | 2375 MHz 19 Gbps effective | 1067 MHz 8.5 Gbps effective |

| Memory Size | 24 GB | 64 GB |

| Memory Type | GDDR6 | LPDDR5X |

| Memory Bus Width | 192 bit | 256 bit |

| Memory Bandwidth | 456.0 GB/s | 273.2 GB/s |

| Shading Units | 2560 | 1536 |

| TMUs | 160 | 48 |

| ROPs | 80 | 16 |

| RT Cores | 20 | 12 |

| Tensor Cores | null | 64 |

| Pixel Rate | 192.0 GPixel/s | 24.48 GPixel/s |

| Texture Rate | 384.0 GTexel/s | 73.44 GTexel/s |

| FP32 | 12.29 TFLOPS | 4.700 TFLOPS |

| FP16 | 24.58 TFLOPS (2:1) | 4.700 TFLOPS (1:1) |

| TDP | 400 W | 90 W |

| Slot Width | Dual-slot | IGP |

| Power Connectors | 1x 16-pin | None |

| Suggested PSU | 800 W | 250 W |

| Bus Interface | PCIe 5.0 x8 | PCIe 5.0 x8 |

| Display Outputs | 4x mini-DisplayPort 2.1 | No outputs |

| DirectX | 12 Ultimate (12_2) | N/A |

| OpenGL | 4.6 | N/A |

| Vulkan | 1.4 | N/A |

| Length | 300 mm 11.8 inches | 87 mm 3.4 inches |

| Height | 110 mm 4.3 inches | 100 mm 3.9 inches |

| Width | 40 mm 1.6 inches | 15 mm 0.6 inches |

| Release Date | 2025-09-04 | 2026-01-04 |

| Predecessor | null | Server Hopper |

| Successor | null | Server Rubin |

| Launch MSRP | 1,199 USD | 1,999 USD |

The database records show a clear split in every major category. The Intel part leads in clock speed, shading units, texture units, ROPs, pixel rate, texture rate, FP32, FP16, and memory bandwidth. The NVIDIA part leads in memory capacity, tensor cores, power efficiency, and has a larger die. Both use PCIe 5.0 x8 and a 5 nm TSMC process, but their architectural goals diverge completely.