NVIDIA N1 16SM vs NVIDIA RTX 500 Mobile Ada Generation Comparison

Head-to-Head Benchmarks

The database contains no recorded benchmark scores for either the NVIDIA N1 16SM or the NVIDIA RTX 500 Mobile Ada Generation. Both entries show an average benchmark score of zero, and the head-to-head benchmark array is empty. Consequently, there are no measured wins for either product in direct comparison. The percentile versus all GPUs is identical for both, at 50, which indicates both sit at the median of the recorded performance distribution, but this is a positional metric rather than a computed performance score.

Without benchmark data, the comparison must rest on the theoretical throughput figures recorded in the database. The N1 16SM lists an FP32 rate of 9.609 TFLOPS, while the RTX 500 Mobile Ada Generation lists 8.294 TFLOPS. The N1 16SM leads by 1.315 TFLOPS, a 15.9% advantage in raw floating-point throughput. The N1 also shows a texture rate of 300.3 GTexel/s versus 129.6 GTexel/s for the RTX 500, a gap of 170.7 GTexel/s, meaning the N1 processes 231.7% more texels per second. The pixel rate tells a different story: the RTX 500 Mobile Ada Generation reaches 64.80 GPixel/s, while the N1 16SM records 56.30 GPixel/s. Here the RTX 500 leads by 8.5 GPixel/s, a 15.1% advantage in pixel fill.

Memory bandwidth also splits the field. The N1 16SM lists 273.2 GB/s, while the RTX 500 Mobile Ada Generation lists 128.0 GB/s. The N1 provides 145.2 GB/s more bandwidth, a 113.4% increase. These theoretical figures indicate that the N1 holds clear leads in compute throughput, texture throughput, and memory bandwidth, while the RTX 500 Mobile Ada Generation counters with a smaller but real advantage in pixel fill rate.

Architecture Differences

The two GPUs come from different architectural generations within NVIDIA's lineup. The N1 16SM uses the GB20B chip built on the Blackwell 2.0 architecture, classified under the Blackwell IGP (N1x) generation. The RTX 500 Mobile Ada Generation uses the AD107 chip built on the Ada Lovelace architecture, classified under the Ada-MW (x000A) generation. Both are fabricated by TSMC on a 5 nm process node, but the similarities end there.

The N1 16SM has a die size of 382 mm², while the RTX 500 Mobile Ada Generation has a die size of 159 mm². The RTX 500's transistor count is recorded as 18,900 million, with a transistor density of 118.9M per mm². The N1 16SM's transistor count is listed as unknown, and no transistor density figure is provided. This makes a direct transistor comparison impossible, but the die size difference is substantial: the N1 die is 223 mm² larger.

Cache and core organization differ as well. The N1 16SM carries 128 texture mapping units (TMUs) and 24 raster operation units (ROPs), while the RTX 500 Mobile Ada Generation carries 64 TMUs and 32 ROPs. The N1 doubles the TMU count but has 8 fewer ROPs. Both GPUs list 2048 shading units, 16 ray tracing cores, and 64 tensor cores. The shading core count is identical despite the architectural separation.

The memory subsystems diverge in type and configuration. The N1 16SM uses LPDDR5X memory with a 256-bit bus, while the RTX 500 Mobile Ada Generation uses GDDR6 memory with a 64-bit bus. The N1's memory clock is 1067 MHz with 8.5 Gbps effective data rate; the RTX 500's memory clock is 2000 MHz with 16 Gbps effective. The RTX 500's memory clock is nearly double, but the N1's wider bus delivers far greater total bandwidth.

Feature support also separates the two. The RTX 500 Mobile Ada Generation lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 support. The N1 16SM lists DirectX, OpenGL, and Vulkan all as N/A. This indicates the N1 is not positioned as a general-purpose graphics renderer in the same way, while the RTX 500 supports the full modern graphics API stack. The bus interface differs as well: the N1 uses PCIe 5.0 x16, while the RTX 500 uses PCIe 4.0 x8. The N1's interface is one generation newer and doubles the lane count. Display outputs also differ: the N1 lists 1x HDMI, while the RTX 500's outputs are listed as portable device dependent.

Where Each One Wins

The recorded data supports a split decision based on workload type. The N1 16SM wins in compute-heavy tasks that rely on raw FP32 throughput and texture processing. Its 9.609 TFLOPS FP32 rate and 300.3 GTexel/s texture rate indicate strong performance for shader workloads and texture sampling. The N1 also wins in memory-bandwidth-sensitive applications. Its 273.2 GB/s bandwidth, delivered over a 256-bit LPDDR5X bus, provides 113.4% more bandwidth than the RTX 500. Tasks that stream large datasets, such as high-resolution texture loading or data-parallel compute, would benefit from this margin.

The RTX 500 Mobile Ada Generation wins in pixel-heavy workloads. Its 64.80 GPixel/s pixel rate exceeds the N1's 56.30 GPixel/s by 15.1%. This suggests the RTX 500 handles rasterization output stages more efficiently, which matters for fill-rate-bound scenes at high resolutions or with heavy fragment shading. The RTX 500 also carries the only recorded API support in this pairing. DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 are listed for the RTX 500, while the N1 lists N/A for all three. Software compatibility is therefore a clear differentiator: the RTX 500 can run standard graphics applications, while the N1's API status is unrecorded and likely not intended for the same purpose.

The RTX 500's ROP count of 32 versus the N1's 24 supports its pixel-rate advantage. The N1's higher TMU count of 128 versus 64 aligns with its texture-rate lead. The core counts are otherwise identical: 2048 shading units, 16 ray tracing cores, and 64 tensor cores on both. The N1 wins on throughput metrics tied to texture and compute, while the RTX 500 wins on pixel output and API coverage.

Specification Differences

The two GPUs differ across multiple recorded specification fields. Die size: 382 mm² for the N1 16SM versus 159 mm² for the RTX 500 Mobile Ada Generation. Transistor count: unknown for the N1, 18,900 million for the RTX 500. Transistor density: not recorded for the N1, 118.9M per mm² for the RTX 500. Base clock: 741 MHz for the N1 versus 1485 MHz for the RTX 500. Boost clock: 2346 MHz for the N1 versus 2025 MHz for the RTX 500. Memory size: 128 GB for the N1 versus 4 GB for the RTX 500. Memory type: LPDDR5X for the N1 versus GDDR6 for the RTX 500. Memory bus width: 256 bit for the N1 versus 64 bit for the RTX 500. Memory clock: 1067 MHz with 8.5 Gbps effective for the N1 versus 2000 MHz with 16 Gbps effective for the RTX 500.

Memory bandwidth: 273.2 GB/s for the N1 versus 128.0 GB/s for the RTX 500. TMUs: 128 for the N1 versus 64 for the RTX 500. ROPs: 24 for the N1 versus 32 for the RTX 500. Pixel rate: 56.30 GPixel/s for the N1 versus 64.80 GPixel/s for the RTX 500. Texture rate: 300.3 GTexel/s for the N1 versus 129.6 GTexel/s for the RTX 500. FP32: 9.609 TFLOPS for the N1 versus 8.294 TFLOPS for the RTX 500. FP16: 9.609 TFLOPS (1:1) for the N1 versus 8.294 TFLOPS (1:1) for the RTX 500. TDP: unknown for the N1, 35 W for the RTX 500. Bus interface: PCIe 5.0 x16 for the N1 versus PCIe 4.0 x8 for the RTX 500. Display outputs: 1x HDMI for the N1 versus portable device dependent for the RTX 500. API support: N/A for DirectX, OpenGL, and Vulkan on the N1 versus DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 on the RTX 500. Release date: 2026-05-31 for the N1 versus 2024-02-25 for the RTX 500. The RTX 500 lists a predecessor (Ampere-MW) and successor (Blackwell-MW), while the N1 lists neither.

Shading units, ray tracing cores, tensor cores, process node, foundry, slot width, and power connectors are identical: 2048, 16, 64, 5 nm, TSMC, IGP, and None, respectively.

FAQ

Q: Which GPU has higher FP32 compute throughput?

A: The NVIDIA N1 16SM lists 9.609 TFLOPS FP32, while the NVIDIA RTX 500 Mobile Ada Generation lists 8.294 TFLOPS. The N1 leads by 1.315 TFLOPS.

Q: How do their memory bandwidth figures compare?

A: The N1 16SM lists 273.2 GB/s over a 256-bit LPDDR5X bus. The RTX 500 Mobile Ada Generation lists 128.0 GB/s over a 64-bit GDDR6 bus. The N1 provides 145.2 GB/s more bandwidth.

Q: Does the RTX 500 Mobile Ada Generation support modern graphics APIs?

A: Yes. The database lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 for the RTX 500. The N1 16SM lists DirectX, OpenGL, and Vulkan as N/A.

Q: What is the difference in pixel fill rate?

A: The RTX 500 Mobile Ada Generation records 64.80 GPixel/s, while the N1 16SM records 56.30 GPixel/s. The RTX 500 leads by 8.5 GPixel/s.

Q: Which GPU has more texture mapping units?

A: The N1 16SM has 128 TMUs, while the RTX 500 Mobile Ada Generation has 64 TMUs. The N1 doubles the TMU count.

Q: What are the memory capacities of each GPU?

A: The N1 16SM lists 128 GB of LPDDR5X memory. The RTX 500 Mobile Ada Generation lists 4 GB of GDDR6 memory.

The Verdict

The data points to distinct roles for each GPU. The NVIDIA N1 16SM, with its 128 GB memory capacity, 256-bit bus, 273.2 GB/s bandwidth, and 9.609 TFLOPS FP32 throughput, is positioned for memory-intensive and compute-heavy workloads. Its 300.3 GTexel/s texture rate reinforces this profile. The lack of recorded API support suggests it is not aimed at conventional graphics rendering, but rather at data-parallel or AI-adjacent tasks where raw throughput and memory capacity dominate.

The NVIDIA RTX 500 Mobile Ada Generation, with its 35 W TDP, 4 GB GDDR6 memory, and full API support including DirectX 12 Ultimate, is positioned for standard graphics workloads in portable devices. Its 64.80 GPixel/s pixel rate and 32 ROPs give it an edge in fill-rate-bound rendering. Its 8.294 TFLOPS FP32 is lower than the N1's, but it carries the software compatibility that the N1 lacks.

The choice depends on the workload. For applications that require large memory pools, high bandwidth, and maximum texture and compute throughput, the N1 16SM is the clear selection based on the recorded specifications. For applications that require standard graphics API support, pixel fill performance, and lower power draw, the RTX 500 Mobile Ada Generation is the appropriate pick. Neither GPU holds a universal advantage; the recorded data shows a complementary split between compute and memory capacity on one side, and pixel throughput and software compatibility on the other.