Intel Arc Pro B60 Dual vs NVIDIA RTX 4000 SFF Ada Generation Comparison

The Intel Arc Pro B60 Dual and the NVIDIA RTX 4000 SFF Ada Generation target different segments of the professional graphics market, and the recorded data reveals two fundamentally different design philosophies. The Intel card uses a newer process node and a larger memory pool, while the NVIDIA card relies on a much higher transistor count and a dramatically lower power envelope. The benchmark results place the NVIDIA card in the 95th percentile of all GPUs, while the Intel card sits at the 50th percentile, suggesting a significant gap in raw compute performance despite the Intel card’s architectural advantages.

Where Each One Wins

The Intel Arc Pro B60 Dual wins decisively in memory capacity and memory bandwidth. It ships with 24 GB of GDDR6 memory on a 192-bit bus, delivering 456.0 GB/s of bandwidth. The NVIDIA RTX 4000 SFF Ada Generation offers 20 GB of GDDR6 on a 160-bit bus, yielding 280.0 GB/s. For workloads that are memory-bound, such as large dataset processing or high-resolution texture streaming, the Intel card provides a 76 GB/s bandwidth advantage and 4 GB more capacity. The Intel card also wins on pixel fill rate, producing 192.0 GPixel/s compared to 99.84 GPixel/s on the NVIDIA card, which is nearly a 92% higher pixel throughput. This suggests the Intel card is better suited for rasterization-heavy tasks that depend on fill rate, such as certain CAD viewport renders or 2D compositing.

The NVIDIA RTX 4000 SFF Ada Generation wins in pure compute throughput and power efficiency. It delivers 19.17 TFLOPS of FP32 performance, which is 56% higher than the Intel card’s 12.29 TFLOPS. The NVIDIA card also has far more shading units (6144 versus 2560) and more texture mapping units (192 versus 160), giving it a clear edge in shader-heavy workloads like rendering and simulation. The NVIDIA card’s power consumption is listed at 70 W TDP, while the Intel card consumes 400 W TDP, meaning the NVIDIA card achieves its higher FP32 throughput at less than one-fifth the power draw. The NVIDIA card also features 48 RT cores and 192 tensor cores, whereas the Intel card has 20 RT cores and no tensor cores listed, making the NVIDIA card the only option for AI inference, deep learning, or ray-traced rendering tasks that require dedicated tensor hardware.

Architecture Differences

The two cards use completely different architectures from different manufacturers. The Intel Arc Pro B60 Dual is built on the Xe2-HPG architecture, codenamed Battlemage, using the BMG-G21 chip manufactured on a 5 nm process at TSMC. The NVIDIA RTX 4000 SFF Ada Generation uses the Ada Lovelace architecture with the AD104 chip, also on a 5 nm process at TSMC, but the transistor counts diverge sharply. The NVIDIA chip contains 35,800 million transistors on a 294 mm² die, while the Intel chip has 19,600 million transistors on a 272 mm² die. This means the NVIDIA chip has a much higher transistor density at 121.8 million transistors per square millimeter versus 72.1 million for the Intel chip.

The memory subsystems differ in both size and bus width. The Intel card uses a 192-bit memory bus with 24 GB of GDDR6, while the NVIDIA card uses a 160-bit bus with 20 GB. The Intel card also runs its memory at a higher effective speed, 19 Gbps versus 14 Gbps on the NVIDIA card, which contributes to its higher bandwidth. The Intel card’s memory clock is listed at 2375 MHz, while the NVIDIA card’s memory clock is 1750 MHz.

Clock speeds show a stark contrast. The Intel card has a base clock of 2000 MHz and a boost clock of 2400 MHz, while the NVIDIA card has a base clock of 720 MHz and a boost clock of 1560 MHz. The Intel card’s higher clocks help it achieve its pixel and texture rates, but the NVIDIA card compensates with far more parallel hardware. The Intel card has a texture rate of 384.0 GTexel/s versus 299.5 GTexel/s on the NVIDIA card, a 28% advantage for Intel.

Power delivery and physical dimensions also differ significantly. The Intel card requires a 16-pin power connector and a suggested 800 W power supply, while the NVIDIA card has no power connectors and suggests a 250 W power supply. The Intel card is 300 mm long, 110 mm tall, and 40 mm wide, while the NVIDIA card is 168 mm long and 69 mm tall, making it roughly half the length. The Intel card uses PCIe 5.0 x8, while the NVIDIA card uses PCIe 4.0 x16. Display outputs are also different, with the Intel card offering 4x mini-DisplayPort 2.1 and the NVIDIA card offering 4x mini-DisplayPort 1.4a.

Head-to-Head Benchmarks

The database contains benchmark results only for the NVIDIA RTX 4000 SFF Ada Generation. Its Geekbench OpenCL score is 124,812, and its Geekbench Vulkan score is 109,364, producing an average benchmark score of 117,088. The Intel Arc Pro B60 Dual has no recorded benchmark scores in the database, so direct numerical comparison is impossible from the data. However, the percentile rankings provide context. The NVIDIA card sits in the 95th percentile of all GPUs, while the Intel card sits in the 50th percentile, indicating that the NVIDIA card outperforms the vast majority of GPUs in the database, while the Intel card is exactly average.

The nearest rivals to the NVIDIA card, based on average benchmark scores, include the NVIDIA GB10 with an average score of 117,393, which is 0.3% higher than the RTX 4000 SFF Ada Generation. The AMD Radeon PRO W7700 scores 118,976, which is 1.6% higher. The NVIDIA Tesla V100 SXM2 16 GB scores 114,395, which is 2.4% lower, and the NVIDIA RTX A5500 Mobile scores 113,944, which is 2.8% lower. These deltas are small, indicating that the RTX 4000 SFF Ada Generation sits in a tight competitive cluster, with the AMD W7700 being the closest higher performer and the Tesla V100 being the closest lower performer.

The absence of benchmark data for the Intel card means the analysis must rely on architectural specifications and the percentile differential. A 45-percentile gap between the two cards suggests that the NVIDIA card is likely to finish tasks faster in compute-intensive scenarios, but the Intel card’s memory bandwidth and capacity advantages could close the gap in memory-limited workloads. The pixel rate difference (192 GPixel/s versus 99.84 GPixel/s) is the largest relative gap in the specifications, favoring the Intel card by a factor of 1.92, which could translate to significant advantages in fill-rate-bound applications like anti-aliasing or shadow mapping.

FAQ

Q: Which card has more memory?

A: The Intel Arc Pro B60 Dual has 24 GB of GDDR6 memory, while the NVIDIA RTX 4000 SFF Ada Generation has 20 GB of GDDR6 memory. The Intel card also has a wider 192-bit memory bus compared to the NVIDIA card’s 160-bit bus.

Q: What is the power consumption difference?

A: The Intel Arc Pro B60 Dual has a TDP of 400 W and requires a suggested 800 W power supply with a 16-pin power connector. The NVIDIA RTX 4000 SFF Ada Generation has a TDP of 70 W and requires a suggested 250 W power supply with no power connectors.

Q: Does the NVIDIA card have tensor cores?

A: Yes, the NVIDIA RTX 4000 SFF Ada Generation includes 192 tensor cores and 48 RT cores. The Intel Arc Pro B60 Dual has 20 RT cores and no tensor cores listed in the database.

Q: Which card has higher FP32 performance?

A: The NVIDIA RTX 4000 SFF Ada Generation delivers 19.17 TFLOPS of FP32 performance, while the Intel Arc Pro B60 Dual delivers 12.29 TFLOPS. The NVIDIA card is approximately 56% higher in FP32 throughput.

Q: What is the release date for each card?

A: The Intel Arc Pro B60 Dual was released on September 4, 2025, while the NVIDIA RTX 4000 SFF Ada Generation was released on March 20, 2023. The NVIDIA card’s predecessor is listed as Workstation Ampere, and its successor is Blackwell PRO W.

Q: Which card has a higher benchmark percentile?

A: The NVIDIA RTX 4000 SFF Ada Generation is in the 95th percentile of all GPUs, with an average benchmark score of 117,088. The Intel Arc Pro B60 Dual is in the 50th percentile, but it has no recorded benchmark scores in the database.

Specification Differences

The two cards differ in nearly every major specification. The Intel card uses the BMG-G21 chip based on the Xe2-HPG architecture, while the NVIDIA card uses the AD104 chip based on Ada Lovelace. The transistor counts are 19,600 million for Intel and 35,800 million for NVIDIA, with die sizes of 272 mm² and 294 mm² respectively. The Intel card has a base clock of 2000 MHz and a boost clock of 2400 MHz, while the NVIDIA card has a base clock of 720 MHz and a boost clock of 1560 MHz.

Memory configurations differ substantially: the Intel card has 24 GB at 456.0 GB/s, while the NVIDIA card has 20 GB at 280.0 GB/s. The Intel card uses a 192-bit bus and 2375 MHz memory clock (19 Gbps effective), while the NVIDIA card uses a 160-bit bus and 1750 MHz memory clock (14 Gbps effective). The Intel card has 2560 shading units, 160 TMUs, and 80 ROPs, while the NVIDIA card has 6144 shading units, 192 TMUs, and 64 ROPs. RT core counts are 20 for Intel and 48 for NVIDIA, and the NVIDIA card adds 192 tensor cores while the Intel card has none.

Pixel rates are 192.0 GPixel/s for Intel and 99.84 GPixel/s for NVIDIA, while texture rates are 384.0 GTexel/s and 299.5 GTexel/s respectively. FP32 performance is 12.29 TFLOPS for Intel and 19.17 TFLOPS for NVIDIA. The Intel card supports FP16 at 24.58 TFLOPS with a 2:1 ratio, while the NVIDIA card supports FP16 at 19.17 TFLOPS with a 1:1 ratio. TDP is 400 W for Intel and 70 W for NVIDIA. The Intel card uses a 16-pin power connector and lists an 800 W suggested PSU, while the NVIDIA card has no power connectors and lists a 250 W suggested PSU. The Intel card uses PCIe 5.0 x8, while the NVIDIA card uses PCIe 4.0 x16. Display outputs are mini-DisplayPort 2.1 for Intel and mini-DisplayPort 1.4a for NVIDIA. Physical dimensions are 300 mm by 110 mm by 40 mm for Intel and 168 mm by 69 mm for NVIDIA. The Intel card has a launch MSRP of 1,199 USD. The NVIDIA card’s release date is 2023-03-20, while the Intel card’s is 2025-09-04.

The Verdict

The data indicates that the NVIDIA RTX 4000 SFF Ada Generation is the stronger choice for compute-heavy professional workloads. Its 19.17 TFLOPS FP32 performance, 192 tensor cores, and 48 RT cores make it the only card in this comparison capable of handling AI inference, deep learning, or advanced ray tracing. The 95th percentile ranking and an average benchmark score of 117,088, with nearest rivals like the AMD Radeon PRO W7700 (1.6% higher) and NVIDIA GB10 (0.3% higher), confirm that it is a high-performance card that competes near the top of the database. Its 70 W TDP and lack of power connectors also make it suitable for compact systems where power delivery is constrained.

The Intel Arc Pro B60 Dual, despite its lower compute throughput, offers advantages that the NVIDIA card cannot match. Its 24 GB memory capacity and 456.0 GB/s bandwidth are superior, and its pixel rate of 192.0 GPixel/s is nearly double that of the NVIDIA card. For users whose workflows are limited by memory size or fill rate, the Intel card may provide better performance, especially in applications that load large textures or render high-resolution 2D scenes. However, the lack of tensor cores and the 400 W TDP are significant drawbacks, particularly in environments where power efficiency is critical.

The choice between these two cards depends on the workload profile. The NVIDIA card is preferable for tasks that demand high FP32 throughput, tensor operations, or ray tracing, and it does so with minimal power consumption. The Intel card is preferable for memory-intensive tasks that need large frame buffers or high bandwidth, but it comes with a much higher power requirement and a lower overall benchmark percentile. The 45-point gap in percentile rankings, combined with the NVIDIA card’s established benchmark scores, suggests that the NVIDIA card is the more capable all-round performer in the database’s recorded results, while the Intel card’s strengths are narrower and more specialized.