NVIDIA H800 SXM5 vs NVIDIA N1 20SM Comparison

Head-to-Head Benchmarks

The recorded database contains no head-to-head benchmark results for the NVIDIA H800 SXM5 and the NVIDIA N1 20SM. Both entries report an average benchmark score of zero and a percentile ranking of 50 against all GPUs, which indicates that neither part has accumulated any standardized performance measurements in the database. As a result, direct numerical comparisons of compute performance between these two accelerators cannot be derived from measured workload data.

The available specification data does permit a theoretical comparison of peak computational throughput. The NVIDIA H800 SXM5 delivers 59.30 TFLOPS of FP32 compute and 237.2 TFLOPS of FP16 compute using a 4:1 ratio. The NVIDIA N1 20SM delivers 12.01 TFLOPS of FP32 and 12.01 TFLOPS of FP16 with a 1:1 ratio. The H800 SXM5 therefore provides approximately 4.94 times the FP32 throughput and approximately 19.75 times the FP16 throughput of the N1 20SM, based strictly on the recorded peak figures. These are architectural peak values, not measured application performance, but they indicate the scale of difference in raw arithmetic capability.

Texture and pixel throughput also differ substantially. The H800 SXM5 achieves 926.6 GTexel/s of texture fill rate and 42.12 GPixel/s of pixel rate. The N1 20SM achieves 375.4 GTexel/s and 56.30 GPixel/s respectively. The H800 SXM5 leads in texture processing by a factor of approximately 2.47, while the N1 20SM leads in pixel throughput by a factor of approximately 1.34. The N1 20SM's higher pixel rate, despite its much smaller shader array, stems from its higher boost clock and its 24 ROPs operating at that frequency.

Memory bandwidth is heavily skewed toward the H800 SXM5. The H800 SXM5 uses 80 GB of HBM3 across a 5120-bit bus, delivering 3.36 TB/s of bandwidth. The N1 20SM uses 128 GB of LPDDR5X across a 256-bit bus, delivering 273.2 GB/s. That represents a bandwidth advantage of approximately 12.3 times for the H800 SXM5. However, the N1 20SM has 1.6 times the memory capacity of the H800 SXM5, which may matter for workloads that require large resident datasets rather than rapid streaming.

Clock behavior differs markedly. The H800 SXM5 operates with a base clock of 1095 MHz and a boost clock of 1755 MHz. The N1 20SM operates with a base clock of 741 MHz and a boost clock of 2346 MHz. The N1 20SM's boost clock is 591 MHz higher than the H800 SXM5's boost clock, representing a 33.7% higher peak frequency. The H800 SXM5's base clock is 354 MHz higher than the N1 20SM's base clock, a 47.8% advantage at idle or low-load conditions.

FAQ

Q: Which GPU has higher FP32 compute throughput?

A: The NVIDIA H800 SXM5 delivers 59.30 TFLOPS of FP32 compute, which is 4.94 times the 12.01 TFLOPS of the NVIDIA N1 20SM.

Q: Which GPU has more memory bandwidth?

A: The NVIDIA H800 SXM5 provides 3.36 TB/s of bandwidth from its HBM3 memory, versus 273.2 GB/s from the N1 20SM's LPDDR5X memory. The H800 SXM5 has a 12.3 times bandwidth advantage.

Q: Which GPU has greater memory capacity?

A: The NVIDIA N1 20SM has 128 GB of LPDDR5X memory, which is 1.6 times the 80 GB of HBM3 memory on the NVIDIA H800 SXM5.

Q: How do the boost clocks compare?

A: The NVIDIA N1 20SM boosts to 2346 MHz, which is 591 MHz higher than the H800 SXM5's 1755 MHz boost clock. The H800 SXM5 has a higher base clock at 1095 MHz versus 741 MHz.

Q: Which GPU has more shading units?

A: The NVIDIA H800 SXM5 has 16,896 shading units, compared to 2,560 shading units on the NVIDIA N1 20SM. The H800 SXM5 has 6.6 times more shading units.

Q: Which GPU has more tensor cores?

A: The NVIDIA H800 SXM5 has 528 tensor cores, versus 80 tensor cores on the NVIDIA N1 20SM. The H800 SXM5 has 6.6 times more tensor cores.

Architecture Differences

The NVIDIA H800 SXM5 is built on the GH100 chip using the Hopper architecture, belonging to the Server Hopper generation. It is fabricated on a 5 nm process at TSMC, with 80,000 million transistors on a die size of 814 mm², yielding a transistor density of 98.3 million transistors per square millimeter. The H800 SXM5 is a discrete server accelerator designed as an SXM module.

The NVIDIA N1 20SM uses the GB20B chip with the Blackwell 2.0 architecture, part of the Blackwell IGP generation. It is also fabricated on a 5 nm process at TSMC, but its transistor count is recorded as unknown, and its die size is 382 mm², which is less than half the H800 SXM5's die area. The N1 20SM is an integrated graphics processor, designated as IGP.

The compute architectures diverge substantially. The H800 SXM5 has 16,896 shading units, 528 texture mapping units, and 24 ROPs. It also includes 528 tensor cores, with no ray tracing cores listed. The N1 20SM has 2,560 shading units, 160 texture mapping units, and 24 ROPs. It includes 80 tensor cores and 20 ray tracing cores. The H800 SXM5 has 6.6 times the shading units and 3.3 times the texture mapping units, while both parts have an identical ROP count of 24. The N1 20SM is the only one of the two with dedicated ray tracing hardware.

Memory architecture differs completely. The H800 SXM5 uses HBM3 memory with an 80 GB capacity, a 5120-bit bus width, and memory clocked at 1313 MHz with 5.3 Gbps effective data rate. The N1 20SM uses LPDDR5X memory with a 128 GB capacity, a 256-bit bus width, and memory clocked at 1067 MHz with 8.5 Gbps effective data rate. The H800 SXM5's 5120-bit bus is 20 times wider than the N1 20SM's 256-bit bus, but the N1 20SM's memory operates at a higher effective data rate per pin.

FP16 compute implementation differs. The H800 SXM5 achieves 237.2 TFLOPS of FP16 using a 4:1 ratio, meaning it can process four FP16 operations per FP32 operation. The N1 20SM achieves 12.01 TFLOPS of FP16 with a 1:1 ratio, meaning its FP16 throughput equals its FP32 throughput. The H800 SXM5's FP16 advantage of 19.75 times over the N1 20SM is larger than its FP32 advantage of 4.94 times, reflecting the different FP16:FP32 ratio designs.

The H800 SXM5 has no display outputs, while the N1 20SM includes one HDMI output. The H800 SXM5 has power connectors requiring an 8-pin EPS and a suggested power supply of 1100 W, with a thermal design power of 700 W. The N1 20SM has no power connectors and its thermal design power is unknown. The H800 SXM5 is a server module that requires external power delivery, whereas the N1 20SM is an integrated part that does not require separate power connectors.

Specification Differences

The recorded specifications show differences in nearly every measurable field. The H800 SXM5 uses the GH100 chip with Hopper architecture, while the N1 20SM uses the GB20B chip with Blackwell 2.0 architecture. The H800 SXM5 belongs to the Server Hopper generation, the N1 20SM to the Blackwell IGP generation.

The H800 SXM5 has 80,000 million transistors on an 814 mm² die, with a transistor density of 98.3 million per square millimeter. The N1 20SM has an unknown transistor count on a 382 mm² die, with no recorded transistor density. The H800 SXM5's die is 2.13 times larger than the N1 20SM's die.

Clock specifications differ on base and boost frequencies. The H800 SXM5 has a base clock of 1095 MHz and a boost clock of 1755 MHz. The N1 20SM has a base clock of 741 MHz and a boost clock of 2346 MHz. Memory clocks are 1313 MHz with 5.3 Gbps effective for the H800 SXM5, versus 1067 MHz with 8.5 Gbps effective for the N1 20SM.

Memory configuration differs in capacity, type, bus width, and bandwidth. The H800 SXM5 has 80 GB HBM3 on a 5120-bit bus with 3.36 TB/s bandwidth. The N1 20SM has 128 GB LPDDR5X on a 256-bit bus with 273.2 GB/s bandwidth.

Compute unit counts differ: 16,896 shading units for the H800 SXM5 versus 2,560 for the N1 20SM; 528 TMUs versus 160; 24 ROPs for both; 528 tensor cores versus 80; and no RT cores for the H800 SXM5 versus 20 RT cores for the N1 20SM.

Throughput figures differ: pixel rate of 42.12 GPixel/s for the H800 SXM5 versus 56.30 GPixel/s for the N1 20SM; texture rate of 926.6 GTexel/s versus 375.4 GTexel/s; FP32 of 59.30 TFLOPS versus 12.01 TFLOPS; FP16 of 237.2 TFLOPS versus 12.01 TFLOPS.

Physical and power attributes differ: the H800 SXM5 is an SXM module with an 8-pin EPS power connector and a 1100 W suggested PSU, with no display outputs. The N1 20SM is an IGP with no power connectors and no suggested PSU, with one HDMI display output. The H800 SXM5 has a thermal design power of 700 W; the N1 20SM's thermal design power is unknown.

Both parts use PCIe 5.0 x16 as the bus interface. Both are fabricated on a 5 nm process at TSMC. Both have a production status of Active. The H800 SXM5 was released on 2023-03-20, while the N1 20SM has a release date of 2026-05-31.

The API support also differs: the H800 SXM5 has no recorded DirectX, OpenGL, or Vulkan support, while the N1 20SM explicitly records these APIs as N/A.

The Verdict

The data describes two fundamentally different classes of hardware. The NVIDIA H800 SXM5 is a high-throughput server accelerator designed for maximum compute density, memory bandwidth, and FP16 performance. Its 59.30 TFLOPS of FP32 and 237.2 TFLOPS of FP16, combined with 3.36 TB/s of memory bandwidth, position it clearly for large-scale parallel compute workloads where raw arithmetic throughput is the primary constraint. Its 528 tensor cores and 16,896 shading units provide the execution resources needed to sustain such performance.

The NVIDIA N1 20SM is an integrated graphics processor with a much smaller execution footprint. Its 12.01 TFLOPS of FP32 and FP16, 273.2 GB/s of memory bandwidth, and 80 tensor cores place it in a different performance class entirely. However, it offers certain advantages: 128 GB of memory capacity versus 80 GB, 20 ray tracing cores where the H800 SXM5 has none, a display output, and a significantly higher boost clock of 2346 MHz. Its 56.30 GPixel/s pixel rate exceeds the H800 SXM5's 42.12 GPixel/s.

For workloads that depend on FP16 tensor throughput, the H800 SXM5 delivers 19.75 times the FP16 performance of the N1 20SM. For FP32 workloads, the advantage narrows to 4.94 times. For memory-bandwidth-bound workloads, the H800 SXM5 provides 12.3 times the bandwidth. For workloads that require large memory capacity, the N1 20SM provides 1.6 times the capacity. For pixel processing, the N1 20SM provides 1.34 times the pixel rate.

The N1 20SM's ray tracing cores add a capability the H800 SXM5 does not have, and its HDMI output makes it usable in display contexts where the H800 SXM5 has no outputs. The N1 20SM also operates without power connectors, while the H800 SXM5 requires an 8-pin EPS connection and a 1100 W suggested power supply. The H800 SXM5's 700 W thermal design power indicates a substantial power delivery requirement, whereas the N1 20SM's power consumption is not recorded.

Both parts share the same 5 nm TSMC process, PCIe 5.0 x16 interface, and 24 ROP count. Both are currently Active in production. The H800 SXM5 has been available since March 2023, while the N1 20SM is scheduled for release at the end of May 2026.

The appropriate choice depends on the workload profile. For server-side compute that demands maximum FP32, FP16, and memory bandwidth, the H800 SXM5 is the higher-performing part in every compute metric except pixel rate and memory capacity. For integrated graphics applications that need ray tracing, display output, larger memory capacity, and a higher boost clock, the N1 20SM offers features the H800 SXM5 does not include. The recorded data shows no benchmark scores for either part, so the comparison rests entirely on the architectural specifications. Those specifications indicate that the H800 SXM5 is the dominant compute accelerator, while the N1 20SM is a more feature-complete integrated processor with a higher pixel throughput and a larger memory footprint.