AMD Ryzen Z1 Extreme GPU vs NVIDIA B200 SXM6 Comparison

The AMD Ryzen Z1 Extreme GPU and the NVIDIA B200 SXM6 occupy completely different segments of the hardware landscape. The Ryzen Z1 Extreme is a compact, low-power integrated graphics solution built for portable devices, while the B200 SXM6 is a massive server accelerator designed for data centers. The recorded data shows no direct benchmark comparisons between them, as their intended workloads, physical formats, and performance envelopes do not overlap. The Z1 Extreme targets lightweight gaming and general computing with a 30 W power envelope, while the B200 SXM6 demands a 1000 W TDP and a 1400 W suggested PSU, signaling a focus on high-throughput compute tasks. Based strictly on the specifications, the B200 SXM6 delivers far higher raw compute throughput, while the Z1 Extreme offers a self-contained display output and a much smaller physical footprint. Neither product serves the same buyer, and the data indicates that selection depends entirely on the target application, not on any comparative advantage in shared metrics.

The Verdict

The database records no overlapping benchmark scores, as both entries have zero benchmark results. The percentile versus all GPUs for both is 50, placing them at the median of all recorded devices, though this figure is identical and provides no relative differentiation. The wins count for each is zero, meaning no head-to-head victories are recorded. Despite the absence of direct tests, the architectural and specification data allows for a clear segmentation.

The Ryzen Z1 Extreme is the appropriate choice for any system that requires a complete graphics solution within a single, low-power package. Its 30 W TDP, 16 GB of LPDDR5 memory, and 1x USB Type-C display output make it suitable for handheld consoles or compact embedded systems. The 280 mm length, 111 mm height, and 21 mm width describe a board that fits into tight chassis. The 4 nm process node from TSMC, with 25,390 million transistors on a 178 mm² die, indicates a dense, efficient design. Its 768 shading units, 48 TMUs, and 32 ROPs provide a baseline for rasterization, while 12 ray tracing cores add hardware support for ray-traced effects. The fp32 throughput of 8.294 TFLOPS and fp16 of 16.59 TFLOPS (2:1) offer a balanced compute profile for consumer workloads. The B200 SXM6, by contrast, is not a graphics card in the conventional sense. It has no display outputs, no DirectX, OpenGL, or Vulkan API support, and uses an SXM Module slot width, meaning it cannot render to a screen. Its 180 GB of HBM3e memory on an 8192-bit bus delivers 8.19 TB/s of bandwidth, a figure that dwarfs the Z1 Extreme’s 51.20 GB/s. The 69.34 TFLOPS fp32 and fp16 (1:1) performance, combined with 592 tensor cores, positions it for matrix math and neural network workloads. The B200 SXM6 is the only viable option for server-scale compute tasks that require massive memory capacity and extreme bandwidth, while the Z1 Extreme is the only option for portable, display-driven systems.

Architecture Differences

The two chips diverge at the foundational level of process technology and die design. The Ryzen Z1 Extreme uses the Phoenix chip, built on RDNA 3.0 architecture, fabricated on a 4 nm process at TSMC. It integrates 25,390 million transistors across a 178 mm² die, resulting in a transistor density of 142.6 million per square millimeter. The B200 SXM6 uses the GB100 chip, based on Blackwell architecture, also from TSMC but on a 5 nm process. It contains 208,000 million transistors across a 1628 mm² die, with a density of 127.8 million per square millimeter. The B200 SXM6’s die is over nine times larger by area and holds over eight times more transistors, but the Z1 Extreme achieves a higher packing density, indicating a more compact logic layout per area.

Clock behavior differs sharply. The Z1 Extreme runs at a base clock of 800 MHz and boosts to 2700 MHz, while the B200 SXM6 has a base of 120 MHz and boosts to 1830 MHz. The Z1 Extreme’s higher boost clock suggests better single-threaded or scalar performance per cycle, but the B200 SXM6 compensates with far more execution units. Memory architecture reinforces this split. The Z1 Extreme uses 16 GB of LPDDR5 on a 64-bit bus, with a memory clock of 800 MHz and 6.4 Gbps effective, yielding 51.20 GB/s bandwidth. The B200 SXM6 uses 180 GB of HBM3e on an 8192-bit bus, with a 2000 MHz clock and 8 Gbps effective, yielding 8.19 TB/s. The B200 SXM6’s bandwidth is 160 times higher, which is critical for data-intensive operations. The Z1 Extreme’s memory is modest by design, sufficient for frame buffers and general data, but nowhere near the scale of the server part.

Compute unit counts also reflect their roles. The Z1 Extreme has 768 shading units, 48 TMUs, and 32 ROPs, with a pixel rate of 86.40 GPixel/s and a texture rate of 129.6 GTexel/s. The B200 SXM6 has 18,944 shading units, 592 TMUs, and 24 ROPs, with a pixel rate of 43.92 GPixel/s and a texture rate of 1,083.4 GTexel/s. The B200 SXM6 has nearly 25 times more shading units and over 12 times more TMUs, but its pixel rate is roughly half of the Z1 Extreme’s, due to the low ROP count and lower boost clock. This suggests the B200 SXM6 is not optimized for rasterization but for parallel compute, where shader and tensor operations dominate. The Z1 Extreme has 12 ray tracing cores, while the B200 SXM6 lists no ray tracing cores, only 592 tensor cores. The Z1 Extreme supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the B200 SXM6 has no API support for any of these, reinforcing its server-only nature.

Head-to-Head Benchmarks

No head-to-head benchmark data exists in the database, so any comparison must rely on the recorded specification deltas. The largest disparity is memory bandwidth. The B200 SXM6 offers 8.19 TB/s versus the Z1 Extreme’s 51.20 GB/s, a factor of 160. This means the B200 SXM6 can move data across its 8192-bit bus at a rate that the Z1 Extreme’s 64-bit bus cannot approach. For any workload that streams large datasets, such as training or inference, the B200 SXM6 provides a decisive advantage. In raw fp32 throughput, the B200 SXM6 delivers 69.34 TFLOPS compared to the Z1 Extreme’s 8.294 TFLOPS, an 8.36 times difference. This translates to faster matrix multiplications and general float operations. The fp16 figures are even more telling: the B200 SXM6 sustains 69.34 TFLOPS at 1:1 ratio, while the Z1 Extreme reaches 16.59 TFLOPS at 2:1 ratio. The B200 SXM6’s fp16 is 4.18 times higher, and it does so without a packed ratio, meaning full throughput is maintained.

On the rendering side, the Z1 Extreme wins in pixel throughput. Its 86.40 GPixel/s exceeds the B200 SXM6’s 43.92 GPixel/s, a 1.97 times advantage. This is counterintuitive given the B200 SXM6’s larger shader count, but the 24 ROPs on the B200 SXM6 limit fill-rate operations. Texture rate favors the B200 SXM6, which hits 1,083.4 GTexel/s versus 129.6 GTexel/s, an 8.36 times lead, matching the fp32 ratio. The B200 SXM6’s 592 TMUs allow for massive texture sampling, but the low ROP count means final pixel output is restricted. Clock speeds show the Z1 Extreme boosting to 2700 MHz versus 1830 MHz on the B200 SXM6, a 1.48 times higher boost, which helps explain its superior pixel rate despite fewer units.

Power consumption is another major gap. The Z1 Extreme has a TDP of 30 W, while the B200 SXM6 has a TDP of 1000 W, a factor of 33.33. The B200 SXM6 also requires a suggested PSU of 1400 W, whereas the Z1 Extreme has no power connectors and runs off the system board. The Z1 Extreme’s efficiency, measured as fp32 per watt, is 8.294 TFLOPS divided by 30 W, yielding 0.276 TFLOPS per watt. The B200 SXM6 delivers 69.34 TFLOPS at 1000 W, or 0.069 TFLOPS per watt. The Z1 Extreme is 4 times more efficient in raw fp32 per watt, highlighting the trade-off between absolute performance and energy efficiency. The B200 SXM6’s higher absolute numbers come with a steep power cost.

FAQ

Q: Which GPU has more memory?

A: The NVIDIA B200 SXM6 has 180 GB of HBM3e memory, while the AMD Ryzen Z1 Extreme has 16 GB of LPDDR5. The B200 SXM6’s memory capacity is 11.25 times larger.

Q: Can the NVIDIA B200 SXM6 output to a display?

A: No. The B200 SXM6 has no display outputs, and its API support for DirectX, OpenGL, and Vulkan is listed as N/A. The Z1 Extreme has a 1x USB Type-C output and supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4.

Q: What is the difference in memory bandwidth?

A: The B200 SXM6 provides 8.19 TB/s over an 8192-bit bus, while the Z1 Extreme provides 51.20 GB/s over a 64-bit bus. The B200 SXM6’s bandwidth is 160 times higher.

Q: How do their power requirements compare?

A: The Z1 Extreme has a 30 W TDP and no power connectors. The B200 SXM6 has a 1000 W TDP and requires a suggested PSU of 1400 W.

Q: Which one has more shading units?

A: The B200 SXM6 has 18,944 shading units, versus 768 on the Z1 Extreme. The B200 SXM6 has 24.67 times more shading units.

Q: What is the release timeline?

A: The Z1 Extreme was released on 2023-06-12, and the B200 SXM6 was released on 2024-10-31. The B200 SXM6 is a later release.

Where Each One Wins

The AMD Ryzen Z1 Extreme wins in scenarios that demand low power, compact dimensions, and display output. Its 30 W TDP allows for passive or minimal cooling, and its 280 mm length, 111 mm height, and 21 mm width fit into portable devices. The 1x USB Type-C output enables direct connection to a monitor, and its support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 covers modern graphics APIs. The higher boost clock of 2700 MHz and pixel rate of 86.40 GPixel/s indicate that it can handle frame rendering efficiently for its class. The 16 GB of LPDDR5 memory is sufficient for game assets and general compute. The 4 nm process node with 142.6 million transistors per square millimeter suggests a design that prioritizes density and thermal efficiency. The fp16 performance of 16.59 TFLOPS (2:1) provides a reasonable compute path for mixed workloads, and the 12 ray tracing cores add hardware acceleration for light effects. This GPU is suited for embedded systems, handheld consoles, or any application where a full graphics stack must reside on a single board without external power delivery.

The NVIDIA B200 SXM6 wins in scenarios that require massive parallel compute and memory capacity. Its 180 GB of HBM3e memory with 8.19 TB/s bandwidth is essential for large model training or inference, where data sets exceed what a 64-bit bus can handle. The 69.34 TFLOPS fp32 and fp16 (1:1) performance, combined with 592 tensor cores, provides a high-throughput matrix engine. The 18,944 shading units and 592 TMUs allow for extensive data processing, and the 1,083.4 GTexel/s texture rate indicates strong sampling capability. The 5 nm process node with 127.8 million transistors per square millimeter still packs a vast number of units into a 1628 mm² die. The lack of display outputs and graphics APIs means it is not intended for interactive use, but the absence of such features frees all resources for compute. The PCIe 6.0 x16 interface ensures high-speed host communication, and the SXM Module slot width indicates a server rack form factor. The 1000 W TDP and 1400 W suggested PSU reflect a data center environment with adequate power infrastructure. The B200 SXM6 is the clear choice for scientific simulation, AI training, or any batch processing task where absolute throughput and memory size outweigh efficiency and portability.

The Z1 Extreme’s transistor density advantage, 142.6M per mm² versus 127.8M per mm², shows that it uses its smaller die more efficiently in terms of packing, but this does not translate to higher absolute performance. The B200 SXM6’s raw unit counts are orders of magnitude larger, even with a lower density. The pixel rate win for the Z1 Extreme, 86.40 GPixel/s versus 43.92 GPixel/s, highlights a fundamental design difference: the Z1 Extreme is built for raster output, while the B200 SXM6 is built for compute throughput. The fp32 efficiency metric, 0.276 TFLOPS per watt for the Z1 Extreme versus 0.069 TFLOPS per watt for the B200 SXM6, further separates their usage cases. Any application that values energy efficiency per floating-point operation, such as battery-powered devices, would favor the Z1 Extreme. Any application that values total throughput, such as a data center running continuous workloads, would favor the B200 SXM6. The recorded data confirms that these are not competing products but complementary tools for entirely different domains.