NVIDIA N1 16SM vs NVIDIA RTX 5000 Ada Generation Comparison
NVIDIA N1 16SM
RTX 5000 Ada Generation
PERFORMANCE BENCHMARKS
Analysis: NVIDIA N1 16SM vs NVIDIA RTX 5000 Ada Generation
The Verdict
The NVIDIA N1 16SM and NVIDIA RTX 5000 Ada Generation serve entirely different segments of the GPU market, and the recorded data makes that split unmistakable. The N1 16SM is an integrated graphics processor (IGP) built on the Blackwell 2.0 architecture, designed for systems where a discrete card is not an option. The RTX 5000 Ada Generation is a dual-slot workstation card built on Ada Lovelace, occupying the 98th percentile of all GPUs in the database.
The RTX 5000 Ada Generation is the clear choice for anyone needing raw compute throughput, rendering capability, or API support. Its benchmark scores place it at 184,664 average, with a Geekbench OpenCL score of 175,286 and a Vulkan score of 194,041. The N1 16SM has no recorded benchmarks and sits at the 50th percentile, with an average benchmark score of zero. The data shows a 98th percentile card versus a 50th percentile IGP, which is not a competition but a categorical difference.
The N1 16SM, however, offers 128 GB of LPDDR5X memory. That is four times the 32 GB of GDDR6 on the RTX 5000 Ada Generation. For workloads that are memory-capacity bound rather than compute bound, the N1 16SM has a structural advantage in capacity, though its bandwidth is lower at 273.2 GB/s versus 576.0 GB/s. The N1 16SM also requires no power connector and uses an IGP slot width, which makes it suitable for compact or low-power systems. The RTX 5000 Ada Generation requires a 250 W TDP, a 16-pin power connector, and a 600 W suggested PSU.
Buyers should pick the RTX 5000 Ada Generation for any serious compute, rendering, or API-dependent workload. Buyers should pick the N1 16SM only if they need a massive memory pool in an integrated form factor with no discrete power delivery. The benchmark data does not support the N1 16SM as a performance option, but its memory capacity is the one specification where it leads decisively.
Architecture Differences
The two GPUs come from different NVIDIA architectures. The N1 16SM uses Blackwell 2.0, fabricated by TSMC on a 5 nm process, with a die size of 382 mm². The RTX 5000 Ada Generation uses Ada Lovelace, also fabricated by TSMC on a 5 nm process, but with a substantially larger die at 609 mm² and 76,300 million transistors. The transistor density of the RTX 5000 Ada Generation is recorded at 125.3M per mm², while the N1 16SM has no density figure listed.
The N1 16SM belongs to the Blackwell IGP (N1x) generation and uses the GB20B chip. The RTX 5000 Ada Generation belongs to the Workstation Ada generation and uses the AD102 chip. The N1 16SM has no API support listed for DirectX, OpenGL, or Vulkan, all marked as N/A. The RTX 5000 Ada Generation supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
The RTX 5000 Ada Generation has 12,800 shading units, 400 TMUs, 176 ROPs, 100 RT cores, and 400 tensor cores. The N1 16SM has 2,048 shading units, 128 TMUs, 24 ROPs, 16 RT cores, and 64 tensor cores. These are not minor gaps; the RTX 5000 Ada Generation has over six times the shading units and over six times the tensor cores.
The memory technologies differ as well. The N1 16SM uses LPDDR5X with a 256-bit bus, while the RTX 5000 Ada Generation uses GDDR6 with the same 256-bit bus width. The N1 16SM runs its memory at 1067 MHz (8.5 Gbps effective), while the RTX 5000 Ada Generation runs at 2250 MHz (18 Gbps effective). The bandwidth difference follows: 273.2 GB/s for the N1 16SM versus 576.0 GB/s for the RTX 5000 Ada Generation.
The bus interface also differs. The N1 16SM uses PCIe 5.0 x16, while the RTX 5000 Ada Generation uses PCIe 4.0 x16. The N1 16SM has a single HDMI output, while the RTX 5000 Ada Generation has four DisplayPort 1.4a outputs. The N1 16SM has no power connectors and an IGP slot width; the RTX 5000 Ada Generation is dual-slot with one 16-pin connector.
FAQ
Q: Which GPU is faster in compute benchmarks?
A: The RTX 5000 Ada Generation. It has a recorded average benchmark score of 184,664, placing it in the 98th percentile. The N1 16SM has no recorded benchmarks and sits at the 50th percentile with a zero average score.
Q: Which GPU has more memory?
A: The N1 16SM has 128 GB of LPDDR5X, which is four times the 32 GB of GDDR6 on the RTX 5000 Ada Generation. However, the RTX 5000 Ada Generation has higher memory bandwidth at 576.0 GB/s versus 273.2 GB/s.
Q: Do both GPUs support the same APIs?
A: No. The RTX 5000 Ada Generation supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The N1 16SM lists all APIs as N/A, meaning no DirectX, OpenGL, or Vulkan support is recorded.
Q: What are the power requirements for each?
A: The N1 16SM has no power connectors and an IGP slot width, so it draws power through the motherboard. The RTX 5000 Ada Generation has a 250 W TDP, requires one 16-pin power connector, and has a 600 W suggested PSU.
Q: How does the RTX 5000 Ada Generation compare to its nearest rivals?
A: The database shows it is 0.5% ahead of the NVIDIA A100 SXM4 80 GB, 1.4% ahead of the NVIDIA RTX PRO 5000 Blackwell, 3.7% ahead of the NVIDIA GeForce RTX 4090 D, and 1.3% behind the NVIDIA A100 SXM4 40 GB.
Q: Which GPU is newer?
A: The N1 16SM has a release date of 2026-05-31, while the RTX 5000 Ada Generation has a release date of 2023-08-08. The N1 16SM is the newer product by a significant margin.
Specification Differences
The following fields differ between the two GPUs:
- Chip: GB20B (N1 16SM) versus AD102 (RTX 5000 Ada Generation)
- Architecture: Blackwell 2.0 versus Ada Lovelace
- Generation: Blackwell IGP (N1x) versus Workstation Ada
- Transistors: unknown versus 76,300 million
- Die size: 382 mm² versus 609 mm²
- Transistor density: not listed versus 125.3M / mm²
- Base clock: 741 MHz versus 1155 MHz
- Boost clock: 2346 MHz versus 2550 MHz
- Memory clock: 1067 MHz (8.5 Gbps effective) versus 2250 MHz (18 Gbps effective)
- Memory size: 128 GB versus 32 GB
- Memory type: LPDDR5X versus GDDR6
- Memory bandwidth: 273.2 GB/s versus 576.0 GB/s
- Shading units: 2048 versus 12800
- TMUs: 128 versus 400
- ROPs: 24 versus 176
- RT cores: 16 versus 100
- Tensor cores: 64 versus 400
- Pixel rate: 56.30 GPixel/s versus 448.8 GPixel/s
- Texture rate: 300.3 GTexel/s versus 1,020.0 GTexel/s
- FP32: 9.609 TFLOPS versus 65.28 TFLOPS
- FP16: 9.609 TFLOPS (1:1) versus 65.28 TFLOPS (1:1)
- TDP: unknown versus 250 W
- Slot width: IGP versus Dual-slot
- Power connectors: None versus 1x 16-pin
- Suggested PSU: not listed versus 600 W
- Bus interface: PCIe 5.0 x16 versus PCIe 4.0 x16
- Display outputs: 1x HDMI versus 4x DisplayPort 1.4a
- DirectX: N/A versus 12 Ultimate (12_2)
- OpenGL: N/A versus 4.6
- Vulkan: N/A versus 1.4
- Dimensions: no length recorded versus 267 mm (10.5 inches) length, 112 mm (4.4 inches) height
- Release date: 2026-05-31 versus 2023-08-08
- Percentile: 50 versus 98
- Average benchmark score: 0 versus 184,664
Head-to-Head Benchmarks
The database contains no direct head-to-head benchmark results between the N1 16SM and the RTX 5000 Ada Generation. The wins count for each is zero. What the data does contain is a full benchmark profile for the RTX 5000 Ada Generation and an empty benchmark profile for the N1 16SM.
The RTX 5000 Ada Generation scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan. Its average benchmark score is 184,664. The N1 16SM has no entries in any benchmark test, and its average benchmark score is recorded as zero.
Comparing the RTX 5000 Ada Generation to its nearest rivals clarifies its position. It is 0.5% ahead of the NVIDIA A100 SXM4 80 GB, which scores 183,725. It is 1.4% ahead of the NVIDIA RTX PRO 5000 Blackwell, which scores 182,109. It is 3.7% ahead of the NVIDIA GeForce RTX 4090 D, which scores 178,050. The only rival ahead of it is the NVIDIA A100 SXM4 40 GB, which scores 187,147 and leads by 1.3%.
The compute gap between the two reviewed GPUs is measurable in raw specifications even without direct benchmarks. The RTX 5000 Ada Generation delivers 65.28 TFLOPS of FP32 compute versus 9.609 TFLOPS for the N1 16SM, a ratio of roughly 6.8 to 1. The texture rate gap is similar: 1,020.0 GTexel/s versus 300.3 GTexel/s. The pixel rate gap is even larger: 448.8 GPixel/s versus 56.30 GPixel/s.
Memory bandwidth also favors the RTX 5000 Ada Generation by a factor of roughly 2.1, at 576.0 GB/s versus 273.2 GB/s. The memory clock runs at 18 Gbps effective on the RTX 5000 Ada Generation versus 8.5 Gbps effective on the N1 16SM.
The N1 16SM does have one recorded advantage beyond raw capacity: its boost clock reaches 2346 MHz versus 2550 MHz, so the RTX 5000 Ada Generation is still ahead. The base clocks are 741 MHz versus 1155 MHz, again favoring the RTX 5000 Ada Generation.
Where Each One Wins
The RTX 5000 Ada Generation wins in every measured performance category. Its FP32 throughput is 65.28 TFLOPS, its texture rate is 1,020.0 GTexel/s, its pixel rate is 448.8 GPixel/s, and its memory bandwidth is 576.0 GB/s. It has 12,800 shading units, 400 TMUs, 176 ROPs, 100 RT cores, and 400 tensor cores. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, which makes it suitable for applications that require modern graphics APIs. Its benchmark percentile of 98 and average score of 184,664 place it among the top GPUs in the database, within 1.3% of the A100 SXM4 40 GB and ahead of the RTX PRO 5000 Blackwell and RTX 4090 D.
The N1 16SM wins in memory capacity. Its 128 GB of LPDDR5X is four times the 32 GB of GDDR6 on the RTX 5000 Ada Generation. It also uses a PCIe 5.0 x16 interface, one generation newer than the PCIe 4.0 x16 on the RTX 5000 Ada Generation. The N1 16SM requires no power connector, fits an IGP slot width, and has a newer release date of 2026-05-31. For systems that cannot accommodate a discrete dual-slot card with a 16-pin power connector and a 600 W PSU, the N1 16SM is the only option between the two.
The RTX 5000 Ada Generation is the choice for compute, rendering, API-dependent workloads, and any application that benefits from higher bandwidth and higher throughput. The N1 16SM is the choice for memory-capacity-bound scenarios in compact systems where the 128 GB pool outweighs the massive compute deficit. The benchmark data does not put these two in the same class, but the N1 16SM does offer a unique memory capacity that no discrete card in this comparison can match.