Intel Arc Pro B60 Dual vs NVIDIA N1 16SM Comparison

# Intel Arc Pro B60 Dual vs NVIDIA N1 16SM

The Intel Arc Pro B60 Dual and NVIDIA N1 16SM represent two fundamentally different approaches to GPU design: a discrete, high-power professional accelerator versus an integrated graphics processor. The database shows both cards occupy the same 50th percentile among all GPUs, yet their architectural profiles and performance characteristics diverge sharply across every measurable dimension. The Intel part targets raw compute throughput and memory capacity, while the NVIDIA part emphasizes integration efficiency and unified memory access.

Where Each One Wins

The Intel Arc Pro B60 Dual wins decisively in raw compute and rendering throughput. Its FP32 output reaches 12.29 TFLOPS, which is 27.9% higher than the NVIDIA N1 16SM's 9.609 TFLOPS. The gap widens further in FP16 workloads: Intel delivers 24.58 TFLOPS using a 2:1 ratio, while NVIDIA offers only 9.609 TFLOPS in FP16, also at a 1:1 ratio. This means the Intel card processes half-precision workloads at 2.56 times the rate of the NVIDIA part, a critical advantage for AI inference and scientific computing tasks that rely on FP16 arithmetic.

Pixel processing heavily favors Intel as well. The Arc Pro B60 Dual achieves 192.0 GPixel/s, which is 3.41 times the NVIDIA N1 16SM's 56.30 GPixel/s. Texture fill rates tell a similar story: 384.0 GTexel/s versus 300.3 GTexel/s, a 27.9% advantage for Intel. These differences translate directly to rasterization-heavy workloads such as 3D rendering, CAD viewport manipulation, and high-resolution display output.

The NVIDIA N1 16SM wins in memory capacity and integration. It carries 128 GB of LPDDR5X memory, more than five times the Intel card's 24 GB of GDDR6. The NVIDIA part also uses a wider 256-bit memory bus, although its 273.2 GB/s bandwidth trails Intel's 456.0 GB/s. The N1 16SM's integrated design consumes no dedicated power connectors and occupies no expansion slot, making it suitable for compact systems where the Intel card's dual-slot, 400 W design cannot fit.

Architecture Differences

The two chips come from different foundry processes and architectural families. Intel uses TSMC's 5 nm process with the BMG-G21 chip based on Xe2-HPG architecture, part of the Battlemage (Pro Series) generation. The die measures 272 mm² and contains 19,600 million transistors, yielding a density of 72.1M per mm². NVIDIA's GB20B chip also uses TSMC's 5 nm process but employs Blackwell 2.0 architecture from the Blackwell IGP (N1x) generation. The NVIDIA die is larger at 382 mm², though its transistor count is not recorded in the database.

Clock behavior differs substantially between the two. Intel runs at a 2000 MHz base and 2400 MHz boost, while NVIDIA operates at a much lower 741 MHz base but boosts to 2346 MHz. This suggests the NVIDIA chip relies on aggressive boosting to reach competitive frequencies, whereas Intel maintains higher sustained clocks. Memory clocks also diverge: Intel's GDDR6 runs at 2375 MHz (19 Gbps effective), while NVIDIA's LPDDR5X runs at 1067 MHz (8.5 Gbps effective), reflecting different memory technologies and power priorities.

Compute unit configurations reveal contrasting design philosophies. Intel fields 2560 shading units, 160 TMUs, and 80 ROPs. NVIDIA counters with 2048 shading units, 128 TMUs, but only 24 ROPs, a notably low count that explains its much lower pixel rate. Ray tracing hardware is comparable in quantity: 20 RT cores on Intel versus 16 on NVIDIA. Tensor cores tell a different story: the NVIDIA part includes 64 tensor cores, while Intel's tensor core count is not listed in the database, leaving AI acceleration capabilities only partially specified for the Intel side.

The NVIDIA N1 16SM reports no DirectX, OpenGL, or Vulkan API support in the database, while Intel supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This makes the Intel card suitable for graphics-intensive applications, whereas the NVIDIA part appears oriented toward compute or embedded workloads without traditional graphics API requirements.

The Verdict

The recorded data indicates the Intel Arc Pro B60 Dual is the superior choice for GPU-accelerated rendering and compute tasks where throughput matters. Its 12.29 TFLOPS FP32 performance, 384.0 GTexel/s texture rate, and 456.0 GB/s memory bandwidth position it ahead of the NVIDIA N1 16SM in every measured performance category except memory capacity. The 24 GB GDDR6 frame buffer, while smaller than NVIDIA's 128 GB, still provides ample capacity for professional visualization and moderate AI workloads.

The NVIDIA N1 16SM appeals to scenarios where memory capacity and system integration take priority over raw speed. Its 128 GB unified memory pool can hold large datasets, model weights, or virtual machine allocations that would exceed the Intel card's capacity. The lack of power connectors and IGP form factor means it can be deployed in power-constrained or space-constrained environments without additional cooling or power infrastructure. Its 64 tensor cores may also provide dedicated AI acceleration, though the database does not record benchmark scores to quantify this advantage.

For users who need a discrete graphics card with full API support, high pixel throughput, and dual-slot cooling, the Intel Arc Pro B60 Dual is the only viable option between these two. For users who need maximum memory capacity in an integrated package and can work without traditional graphics APIs, the NVIDIA N1 16SM fills that niche. The 400 W TDP and 800 W suggested PSU for Intel, contrasted with the NVIDIA part's unknown TDP and no power connectors, underscores their different deployment environments.

FAQ

Q: Which GPU has higher FP32 performance?

A: The Intel Arc Pro B60 Dual delivers 12.29 TFLOPS FP32, which is 27.9% higher than the NVIDIA N1 16SM's 9.609 TFLOPS.

Q: How much memory does each GPU provide?

A: The NVIDIA N1 16SM has 128 GB of LPDDR5X memory on a 256-bit bus, while the Intel Arc Pro B60 Dual has 24 GB of GDDR6 on a 192-bit bus.

Q: Which GPU supports DirectX 12 Ultimate?

A: Only the Intel Arc Pro B60 Dual supports DirectX 12 Ultimate (12_2), along with OpenGL 4.6 and Vulkan 1.4. The NVIDIA N1 16SM lists no DirectX, OpenGL, or Vulkan support in the database.

Q: What is the memory bandwidth difference?

A: The Intel Arc Pro B60 Dual achieves 456.0 GB/s, which is 66.9% higher than the NVIDIA N1 16SM's 273.2 GB/s.

Q: Do both GPUs use the same manufacturing process?

A: Yes, both use TSMC's 5 nm process, but the Intel die is 272 mm² while the NVIDIA die is 382 mm².

Q: Which GPU has more ray tracing cores?

A: The Intel Arc Pro B60 Dual has 20 RT cores, compared to 16 RT cores on the NVIDIA N1 16SM.

Head-to-Head Benchmarks

The database records no direct head-to-head benchmark scores for these two GPUs, so the comparison must rely on their specification-derived performance metrics. The largest Intel advantage appears in pixel throughput: 192.0 GPixel/s versus 56.30 GPixel/s gives Intel a 3.41x lead. This stems from Intel's 80 ROPs against NVIDIA's 24 ROPs, a structural difference that no clock speed adjustment can overcome. In practical terms, this means the Intel card can drive higher resolutions and more display outputs simultaneously, with four mini-DisplayPort 2.1 connectors versus a single HDMI on the NVIDIA part.

Texture throughput shows a substantial but smaller gap. Intel's 384.0 GTexel/s exceeds NVIDIA's 300.3 GTexel/s by 27.9%, consistent with the FP32 ratio. Both cards have similar TMU-to-shader ratios, but Intel's higher clocks and 160 TMUs versus 128 TMUs produce the advantage. FP16 performance amplifies the difference: Intel's 24.58 TFLOPS is 2.56 times NVIDIA's 9.609 TFLOPS, making the Intel card markedly better for mixed-precision workloads.

Memory bandwidth favors Intel at 456.0 GB/s versus 273.2 GB/s, a 66.9% advantage. However, the NVIDIA N1 16SM's 128 GB capacity dwarfs Intel's 24 GB, creating a trade-off between speed and size. The NVIDIA part's LPDDR5X memory runs at 8.5 Gbps effective, much slower than the GDDR6's 19 Gbps, but the 256-bit bus partially compensates. For workloads that fit within 24 GB, Intel will transfer data faster; for workloads exceeding 24 GB, only NVIDIA can handle them at all.

Clock specifications reveal different operating strategies. Intel's 2000 MHz base clock ensures consistent performance under sustained load, while NVIDIA's 741 MHz base clock suggests heavy reliance on boost behavior to reach 2346 MHz. The boost clocks are close (2400 MHz versus 2346 MHz), but the base clocks differ by 2.7x, implying the NVIDIA part may throttle more aggressively under thermal or power limits. The Intel card's 400 W TDP and dedicated 16-pin power connector provide headroom for sustained operation, while the NVIDIA part's unknown TDP and lack of power connectors indicate a power envelope constrained by the host system.

The NVIDIA N1 16SM's 64 tensor cores give it a hardware feature that Intel does not list, potentially adding AI acceleration capabilities. Yet without benchmark scores, the database cannot quantify how these tensor cores perform relative to Intel's unspecified tensor hardware. The Intel card's higher FP16 throughput suggests it may handle AI workloads adequately through general-purpose compute, but the NVIDIA part's dedicated tensor cores could offer specialized efficiency in supported frameworks.

In summary, the Intel Arc Pro B60 Dual dominates every measured throughput metric, often by wide margins, while the NVIDIA N1 16SM offers unmatched memory capacity and an integrated form factor. The choice between them depends entirely on whether the workload prioritizes speed or capacity, and whether the system can accommodate a dual-slot, 400 W discrete card.