AMD Ryzen Z2 Go GPU vs NVIDIA B300 Comparison

Head-to-Head Benchmarks

The recorded data shows no direct head-to-head benchmark results between the AMD Ryzen Z2 Go GPU and the NVIDIA B300. Both entries hold a 50th percentile position in the database's all-GPU rankings, and neither carries an average benchmark score or a list of nearest rivals. This absence of measured performance comparisons means the analysis must rely entirely on the architectural and specification data recorded for each part.

Despite the lack of direct scores, the specification sheets reveal the scale of the performance gap. The NVIDIA B300 delivers 76.99 TFLOPS of FP32 compute, while the AMD Ryzen Z2 Go GPU provides 4.147 TFLOPS. That places the B300 roughly 18.5 times ahead in single-precision floating-point throughput. In FP16, the disparity becomes even more pronounced: the B300 reaches 1,231.8 TFLOPS, whereas the Ryzen Z2 Go GPU offers 8.294 TFLOPS. The B300's FP16 figure is recorded as a 16:1 ratio, while the AMD part lists a 2:1 ratio, indicating fundamentally different approaches to mixed-precision work.

Texture throughput follows the same pattern. The B300 achieves 1,202.9 GTexel/s, compared to 129.6 GTexel/s for the Ryzen Z2 Go GPU. Pixel rate is the one metric where the AMD part leads: 86.40 GPixel/s versus 48.77 GPixel/s for the NVIDIA B300. This result stems from the B300's unusually low ROP count of 24, against 32 ROPs on the AMD chip. The B300 compensates with 592 texture mapping units and 18,944 shading units, dwarfing the 48 TMUs and 768 shaders on the Ryzen Z2 Go GPU.

Memory bandwidth shows a similar chasm. The B300's HBM3e interface delivers 4.10 TB/s across a 4096-bit bus, while the Ryzen Z2 Go GPU manages 102.4 GB/s through a 128-bit LPDDR5 connection. That is a 40-fold difference in raw bandwidth, which will dominate any memory-bound workload. The B300 also carries 144 GB of memory versus 16 GB for the AMD part.

Clock speeds, however, tell a different story. The Ryzen Z2 Go GPU boosts to 2700 MHz with an 800 MHz base, while the B300 boosts to 2032 MHz with a 1665 MHz base. The AMD part runs at a higher peak clock, but its far smaller execution resource pool means that advantage does not translate into compute leadership. The B300's higher base clock, 1665 MHz versus 800 MHz, reflects a design intended for sustained operation rather than burst performance.

FAQ

Q: Which GPU has the higher FP32 compute throughput?

A: The NVIDIA B300 records 76.99 TFLOPS of FP32 performance, while the AMD Ryzen Z2 Go GPU records 4.147 TFLOPS. The B300 is approximately 18.5 times higher.

Q: How do the memory subsystems compare?

A: The B300 uses 144 GB of HBM3e on a 4096-bit bus with 4.10 TB/s bandwidth. The Ryzen Z2 Go GPU uses 16 GB of LPDDR5 on a 128-bit bus with 102.4 GB/s bandwidth.

Q: Which GPU has more shading units?

A: The NVIDIA B300 has 18,944 shading units. The AMD Ryzen Z2 Go GPU has 768 shading units.

Q: Are there any metrics where the AMD part leads?

A: Yes. The Ryzen Z2 Go GPU records a higher pixel rate at 86.40 GPixel/s versus 48.77 GPixel/s for the B300. It also has a higher boost clock at 2700 MHz versus 2032 MHz.

Q: What are the power requirements for each?

A: The Ryzen Z2 Go GPU is rated at 28 W TDP with no power connectors. The B300 is rated at 1400 W TDP with a suggested PSU of 1800 W.

Q: Which GPU supports more API versions?

A: The AMD part lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA B300 lists no API support in the recorded data.

Architecture Differences

The two GPUs come from entirely different design lineages. The AMD Ryzen Z2 Go GPU uses the Rembrandt+ chip built on RDNA 2.0 architecture, fabricated by TSMC on a 6 nm process. Its transistor count stands at 13,100 million on a 208 mm² die, yielding a density of 63.0 million transistors per square millimeter. This is a console-class GPU generation part, designed for low-power integrated use.

The NVIDIA B300 uses the GB110 chip built on Blackwell Ultra architecture, fabricated by TSMC on a 5 nm process. Its transistor count reaches 104,000 million, though its die size is not recorded. The B300 belongs to the Server Blackwell (Bxx) generation and is positioned as a server accelerator. Its predecessor is listed as Server Hopper, and its successor is Server Rubin.

Ray tracing hardware differs between the two. The Ryzen Z2 Go GPU includes 12 ray tracing cores, while the B300 records no RT core count. Instead, the B300 carries 592 tensor cores, a feature entirely absent from the AMD part's specification sheet. This indicates that the B300 is optimized for tensor-heavy workloads, such as AI inference and training, while the AMD part targets conventional graphics rendering.

The B300 uses a 5 nm process with 104,000 million transistors, a 790% increase in transistor count over the AMD chip. The AMD part's 6 nm process is a generation behind. The B300's memory type, HBM3e, is optimized for extreme bandwidth, whereas the AMD part uses LPDDR5, a lower-power memory typically found in mobile or compact systems.

Power delivery and physical format also diverge sharply. The B300 is an SXM Module with a 1400 W TDP and a suggested PSU of 1800 W. The Ryzen Z2 Go GPU has a 28 W TDP and requires no power connectors. The B300 uses a PCIe 5.0 x16 bus interface, while the AMD part records no bus interface. Display outputs also differ: the AMD part includes one USB Type-C output, while the B300 has no outputs, confirming its role as a compute accelerator rather than a graphics card.

Specification Differences

The recorded specifications show a long list of differences between the two GPUs. The AMD Ryzen Z2 Go GPU uses a 6 nm process; the NVIDIA B300 uses 5 nm. Transistor counts are 13,100 million versus 104,000 million. The AMD die measures 208 mm²; the B300's die size is not recorded. Transistor density for the AMD part is 63.0 million per square millimeter, while the B300 has no recorded density.

Base clocks differ: 800 MHz for the AMD part versus 1665 MHz for the B300. Boost clocks are 2700 MHz versus 2032 MHz. Memory clocks are 800 MHz (6.4 Gbps effective) for the AMD part versus 2000 MHz (8 Gbps effective) for the B300.

Memory capacities are 16 GB versus 144 GB. Memory types are LPDDR5 versus HBM3e. Bus widths are 128 bit versus 4096 bit. Bandwidth is 102.4 GB/s versus 4.10 TB/s.

Shading units number 768 versus 18,944. TMUs are 48 versus 592. ROPs are 32 versus 24. Ray tracing cores are 12 for the AMD part, with none recorded for the B300. Tensor cores are absent on the AMD part, while the B300 has 592.

Pixel rates are 86.40 GPixel/s versus 48.77 GPixel/s. Texture rates are 129.6 GTexel/s versus 1,202.9 GTexel/s. FP32 performance is 4.147 TFLOPS versus 76.99 TFLOPS. FP16 performance is 8.294 TFLOPS (2:1) versus 1,231.8 TFLOPS (16:1).

TDP is 28 W versus 1400 W. The AMD part has no power connectors; the B300's power connectors are not recorded. The B300 lists a suggested PSU of 1800 W, while the AMD part has none. The B300 uses a PCIe 5.0 x16 bus interface; the AMD part records none. Display outputs are one USB Type-C for the AMD part versus no outputs for the B300.

API support also differs. The AMD part lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The B300 lists no APIs. Release dates are December 31, 2024 for the AMD part and September 10, 2025 for the B300. Production status is Active for both.

Where Each One Wins

The AMD Ryzen Z2 Go GPU wins in scenarios constrained by power and physical footprint. Its 28 W TDP, absence of power connectors, and single USB Type-C output make it suitable for compact, low-power systems. Its higher pixel rate of 86.40 GPixel/s could benefit fill-rate-limited workloads at lower resolutions, and its 12 ray tracing cores provide hardware-accelerated ray tracing in a power envelope that the B300 cannot approach. The 6 nm process and 208 mm² die size indicate a chip designed for efficiency rather than peak throughput.

The NVIDIA B300 wins in every compute-heavy category. Its 76.99 TFLOPS FP32 and 1,231.8 TFLOPS FP16 performance place it in an entirely different performance class. The 592 tensor cores and 144 GB of HBM3e with 4.10 TB/s bandwidth make it a server-grade accelerator for large-scale parallel workloads. The 18,944 shading units and 592 TMUs provide massive geometry and texture throughput. The 5 nm process and 104,000 million transistor count underline its role as a flagship compute part.

The B300's memory capacity of 144 GB is 9 times that of the AMD part, and its bandwidth is 40 times higher. These figures suggest the B300 is designed for datasets that far exceed the AMD part's 16 GB capacity. The B300's 1400 W TDP and 1800 W suggested PSU indicate a data-center installation context, while the AMD part's 28 W TDP fits a portable or embedded environment.

The AMD part's higher boost clock, 2700 MHz versus 2032 MHz, gives it an advantage in lightly threaded or latency-sensitive tasks where clock speed matters more than raw throughput. Its lower ROP count relative to the B300 is offset by a higher pixel rate, which may reflect a more efficient rasterization pipeline per ROP.

The Verdict

The data indicates that these two GPUs serve opposite ends of the computing spectrum. The AMD Ryzen Z2 Go GPU is a low-power, compact graphics solution with modest compute resources, a 28 W TDP, and a single display output. Its strengths lie in efficiency, portability, and fill-rate performance. The NVIDIA B300 is a high-power server accelerator with massive compute throughput, 144 GB of HBM3e memory, tensor cores, and a 1400 W TDP. Its strengths lie in raw performance, memory capacity, and bandwidth.

For users seeking a GPU for a small-form-factor system with minimal power draw and basic display output, the Ryzen Z2 Go GPU is the appropriate choice. Its 16 GB of LPDDR5 memory and 102.4 GB/s bandwidth are sufficient for lighter graphics tasks, and its 12 ray tracing cores add hardware acceleration without a significant power penalty.

For users running large-scale parallel compute, AI training, or memory-intensive server workloads, the B300 is the clear selection. Its 4.10 TB/s bandwidth, 144 GB capacity, and 592 tensor cores provide the resources needed for such tasks. The B300's 76.99 TFLOPS FP32 and 1,231.8 TFLOPS FP16 performance dwarf the AMD part's figures.

The choice comes down to the workload. The Ryzen Z2 Go GPU wins on efficiency, pixel rate, and clock speed. The B300 wins on every compute metric, memory specification, and feature set related to tensor processing. The database contains no benchmark scores to compare real-world performance, but the architectural data alone establishes the B300 as the dominant compute part and the Ryzen Z2 Go GPU as the dominant low-power option.