AMD Ryzen Z2 Go GPU vs NVIDIA RTX 2000 Max-Q Ada Generation Comparison

The Verdict

The recorded data places the AMD Ryzen Z2 Go GPU and the NVIDIA RTX 2000 Max-Q Ada Generation in different performance tiers despite both sitting at the 50th percentile against all GPUs in the database. The AMD part uses an RDNA 2.0 architecture on a 6 nm process, while the NVIDIA part uses Ada Lovelace on a 5 nm process. Benchmark results indicate that the NVIDIA RTX 2000 Max-Q Ada Generation holds a clear computational advantage in raw shader throughput, delivering 8.940 TFLOPS FP32 versus 4.147 TFLOPS for the AMD Ryzen Z2 Go GPU. That is more than double the FP32 compute, a decisive gap for any workload that scales with shader count.

The AMD Ryzen Z2 Go GPU counters with a higher boost clock of 2700 MHz compared to 1455 MHz on the NVIDIA part, and it offers 16 GB of LPDDR5 memory versus 8 GB of GDDR6. For workloads that depend heavily on memory capacity, the AMD part is the only option in this pairing that can hold larger datasets locally. However, the NVIDIA part has 256.0 GB/s of memory bandwidth, which is exactly 2.5 times the 102.4 GB/s available on the AMD part. The database shows that texture rate also favors NVIDIA slightly, 139.7 GTexel/s versus 129.6 GTexel/s, while pixel rate favors AMD, 86.40 GPixel/s versus 69.84 GPixel/s.

The verdict from the data is straightforward. The NVIDIA RTX 2000 Max-Q Ada Generation is the stronger choice for compute-heavy rendering, ray tracing, and tensor-accelerated workloads, as it has 3072 shading units, 24 RT cores, 96 tensor cores, and nearly double the FP32 throughput. The AMD Ryzen Z2 Go GPU is the better pick for memory-capacity-sensitive tasks and for scenarios where a higher boost clock and higher pixel throughput matter more than raw shader compute. Neither part has any recorded head-to-head benchmark wins in the database, so the analysis relies on architectural and specification differences rather than direct measured comparisons.

FAQ

Q: Which GPU has more shading units?

A: The NVIDIA RTX 2000 Max-Q Ada Generation has 3072 shading units, while the AMD Ryzen Z2 Go GPU has 768 shading units.

Q: How much memory does each GPU offer?

A: The AMD Ryzen Z2 Go GPU offers 16 GB of LPDDR5 memory, and the NVIDIA RTX 2000 Max-Q Ada Generation offers 8 GB of GDDR6 memory.

Q: Which GPU has higher memory bandwidth?

A: The NVIDIA RTX 2000 Max-Q Ada Generation has 256.0 GB/s of memory bandwidth, which is higher than the 102.4 GB/s of the AMD Ryzen Z2 Go GPU.

Q: What is the FP32 performance difference?

A: The NVIDIA RTX 2000 Max-Q Ada Generation delivers 8.940 TFLOPS FP32, while the AMD Ryzen Z2 Go GPU delivers 4.147 TFLOPS FP32, meaning the NVIDIA part has more than twice the FP32 throughput.

Q: Which GPU has a higher boost clock?

A: The AMD Ryzen Z2 Go GPU has a boost clock of 2700 MHz, significantly higher than the 1455 MHz boost clock of the NVIDIA RTX 2000 Max-Q Ada Generation.

Q: Do both GPUs support the same APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Architecture Differences

The AMD Ryzen Z2 Go GPU is built on the Rembrandt+ chip using the RDNA 2.0 architecture, manufactured on a 6 nm process at TSMC. The die size is 208 mm², and the transistor count is 13,100 million, resulting in a transistor density of 63.0M per mm². The NVIDIA RTX 2000 Max-Q Ada Generation uses the AD107 chip with the Ada Lovelace architecture, manufactured on a 5 nm process also at TSMC. Its die size is 159 mm², with 18,900 million transistors, giving a transistor density of 118.9M per mm². The NVIDIA part packs more transistors into a smaller die, a direct consequence of the denser 5 nm process.

The RT core and tensor core counts differ fundamentally. The NVIDIA part has 24 RT cores and 96 tensor cores, while the AMD part has 12 RT cores and no tensor cores listed in the database. This makes the NVIDIA part the only one of the two with dedicated tensor hardware for AI-accelerated workloads. The AMD part relies entirely on its 768 shading units, 48 TMUs, and 32 ROPs, whereas the NVIDIA part fields 3072 shading units, 96 TMUs, and 48 ROPs. The shading unit count is exactly four times higher on the NVIDIA part, which explains the large FP32 gap.

The FP16 compute paths also differ. The AMD Ryzen Z2 Go GPU achieves 8.294 TFLOPS FP16 through a 2:1 ratio relative to FP32, while the NVIDIA RTX 2000 Max-Q Ada Generation achieves 8.940 TFLOPS FP16 at a 1:1 ratio. This means the NVIDIA part does not gain any extra throughput when switching from FP32 to FP16, while the AMD part doubles its throughput. For workloads that can use FP16, the AMD part closes some of the raw compute gap, reaching 8.294 TFLOPS versus 8.940 TFLOPS on the NVIDIA part.

The manufacturing process difference is significant for power efficiency per transistor. The NVIDIA part uses a 5 nm process with 118.9M transistors per mm², while the AMD part uses a 6 nm process with 63.0M transistors per mm². The NVIDIA part also has a higher TDP at 35 W versus 28 W, so it consumes more power but delivers substantially more compute. The AMD part has no power connectors, and the NVIDIA part also has no power connectors, consistent with mobile or integrated form factors.

Specification Differences

The two GPUs differ in nearly every major specification field. The AMD Ryzen Z2 Go GPU has a base clock of 800 MHz and a boost clock of 2700 MHz. The NVIDIA RTX 2000 Max-Q Ada Generation has a base clock of 930 MHz and a boost clock of 1455 MHz. The AMD part boosts much higher, but the NVIDIA part starts from a higher base clock.

Memory configurations diverge sharply. The AMD part has 16 GB of LPDDR5 memory on a 128-bit bus, running at 800 MHz with 6.4 Gbps effective speed, yielding 102.4 GB/s bandwidth. The NVIDIA part has 8 GB of GDDR6 memory on a 128-bit bus, running at 2000 MHz with 16 Gbps effective speed, yielding 256.0 GB/s bandwidth. Both use a 128-bit bus, but the NVIDIA part achieves 2.5 times the bandwidth with faster memory and half the capacity.

Compute resources differ by large multiples. The NVIDIA part has 3072 shading units, 96 TMUs, and 48 ROPs. The AMD part has 768 shading units, 48 TMUs, and 32 ROPs. The NVIDIA part has 24 RT cores and 96 tensor cores, while the AMD part has 12 RT cores and no tensor cores. The pixel rate favors AMD at 86.40 GPixel/s versus 69.84 GPixel/s, while the texture rate favors NVIDIA at 139.7 GTexel/s versus 129.6 GTexel/s.

The NVIDIA part is rated at 35 W TDP, the AMD part at 28 W TDP. The NVIDIA part uses a PCIe 4.0 x16 bus interface, while the AMD part has no bus interface listed. Display outputs also differ: the AMD part has 1x USB Type-C, while the NVIDIA part is marked as portable device dependent. The NVIDIA part is classified as an IGP slot width, while the AMD part has no slot width listed. Release dates differ as well: the AMD part was released on 2024-12-31, and the NVIDIA part on 2023-03-20.

Head-to-Head Benchmarks

The database contains no recorded head-to-head benchmark entries for this pairing, and neither part has any individual benchmark scores listed. Both GPUs sit at the 50th percentile against all GPUs, and both have an average benchmark score of 0 in the database. The nearest rival lists are empty for both parts, so there are no relative performance deltas to cite from direct comparisons.

Given the absence of direct benchmark data, the comparison must rely on the recorded specification fields. The largest single advantage belongs to the NVIDIA RTX 2000 Max-Q Ada Generation in FP32 compute, where it delivers 8.940 TFLOPS versus 4.147 TFLOPS on the AMD Ryzen Z2 Go GPU. That is a 4.793 TFLOPS difference, meaning the NVIDIA part has roughly 2.16 times the FP32 throughput. The shading unit count amplifies this: 3072 versus 768, a 4:1 ratio.

Memory bandwidth is the second major NVIDIA advantage. The NVIDIA part delivers 256.0 GB/s, exactly 2.5 times the 102.4 GB/s of the AMD part. The texture rate also favors NVIDIA, 139.7 GTexel/s versus 129.6 GTexel/s, a margin of 10.1 GTexel/s. The NVIDIA part also has four times the tensor cores (96 versus 0) and twice the RT cores (24 versus 12).

The AMD Ryzen Z2 Go GPU holds advantages in several fields. Its pixel rate of 86.40 GPixel/s exceeds the NVIDIA part's 69.84 GPixel/s by 16.56 GPixel/s. Its boost clock of 2700 MHz is 1245 MHz higher than the NVIDIA part's 1455 MHz. Its memory capacity of 16 GB is double the NVIDIA part's 8 GB. Its FP16 throughput of 8.294 TFLOPS is close to the NVIDIA part's 8.940 TFLOPS, a gap of only 0.646 TFLOPS, and this is the closest compute metric between the two.

The transistor density difference also shows in the data. The NVIDIA part has 118.9M transistors per mm² on a 159 mm² die, while the AMD part has 63.0M transistors per mm² on a 208 mm² die. The NVIDIA part fits 5,800 more million transistors into a die that is 49 mm² smaller.

Where Each One Wins

The AMD Ryzen Z2 Go GPU wins in scenarios that benefit from large memory capacity and high clock speeds. Its 16 GB of LPDDR5 memory is the only configuration in this pairing that can hold large working sets without spilling to system memory. The higher boost clock of 2700 MHz suggests the AMD part can sustain higher per-clock execution in workloads that are not shader-bound. Its pixel rate of 86.40 GPixel/s is the highest of the two, which points to an advantage in fill-rate-limited tasks such as certain rasterization patterns. The FP16 throughput of 8.294 TFLOPS is nearly on par with the NVIDIA part, so mixed-precision workloads that can use FP16 will see a smaller performance gap than FP32-heavy workloads.

The NVIDIA RTX 2000 Max-Q Ada Generation wins in raw compute and memory bandwidth. The 8.940 TFLOPS FP32 figure is more than double the AMD part, making it the clear choice for shader-heavy rendering, simulation, and general compute. The 256.0 GB/s memory bandwidth is 2.5 times higher, which benefits bandwidth-sensitive workloads such as texture-heavy scenes, large buffer operations, and data streaming. The 96 tensor cores provide hardware acceleration for AI inference and training workloads that the AMD part cannot match at all. The 24 RT cores provide twice the ray tracing hardware of the AMD part, which is relevant for any ray-traced rendering workload.

The TDP difference matters for system design. The NVIDIA part uses 35 W, the AMD part uses 28 W, so the AMD part fits into a tighter power envelope while the NVIDIA part trades 7 W for substantially higher compute. The NVIDIA part also uses PCIe 4.0 x16, which gives it a wider system interface for data transfer, while the AMD part has no bus interface listed. The NVIDIA part is marked as portable device dependent for display outputs, while the AMD part has a single USB Type-C output, so the AMD part has a more explicit display connectivity option in the database.

For users who need maximum FP32 throughput, tensor acceleration, or memory bandwidth, the NVIDIA RTX 2000 Max-Q Ada Generation is the data-backed choice. For users who need double the memory capacity, a higher boost clock, higher pixel rate, or a lower 28 W power draw, the AMD Ryzen Z2 Go GPU is the data-backed choice. The database shows no direct benchmark wins for either part, so these conclusions derive entirely from the recorded architectural and specification differences.