AMD Ryzen Z2 Go GPU vs NVIDIA RTX 5000 Embedded Ada Generation X2 Comparison

FAQ

Q: What are the core architecture and manufacturing differences between the AMD Ryzen Z2 Go GPU and the NVIDIA RTX 5000 Embedded Ada Generation X2?

A: The AMD Ryzen Z2 Go GPU uses the Rembrandt+ chip built on RDNA 2.0 architecture, manufactured on a 6 nm process at TSMC. The NVIDIA RTX 5000 Embedded Ada Generation X2 uses the AD103 chip built on Ada Lovelace architecture, manufactured on a 5 nm process at TSMC.

Q: How do the memory subsystems compare between these two GPUs?

A: Both GPUs have 16 GB of memory, but they differ significantly in type and bandwidth. The AMD Ryzen Z2 Go GPU uses LPDDR5 memory with a 128-bit bus and 102.4 GB/s bandwidth. The NVIDIA RTX 5000 Embedded Ada Generation X2 uses GDDR6 memory with a 256-bit bus and 576.0 GB/s bandwidth.

Q: What are the transistor counts and die sizes for each GPU?

A: The AMD Ryzen Z2 Go GPU contains 13,100 million transistors on a 208 mm² die, giving a transistor density of 63.0M per mm². The NVIDIA RTX 5000 Embedded Ada Generation X2 contains 45,900 million transistors on a 379 mm² die, giving a transistor density of 121.1M per mm².

Q: What is the power consumption difference between the two GPUs?

A: The AMD Ryzen Z2 Go GPU has a TDP of 28 W, while the NVIDIA RTX 5000 Embedded Ada Generation X2 has a TDP of 150 W. Neither GPU requires external power connectors.

Q: Which GPU has higher clock speeds?

A: The AMD Ryzen Z2 Go GPU has a base clock of 800 MHz and a boost clock of 2700 MHz. The NVIDIA RTX 5000 Embedded Ada Generation X2 has a base clock of 930 MHz and a boost clock of 1680 MHz. The AMD GPU boosts significantly higher, while the NVIDIA GPU has a higher base clock.

Q: What API support do both GPUs provide?

A: Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so they offer identical API feature sets.

Where Each One Wins

The AMD Ryzen Z2 Go GPU and NVIDIA RTX 5000 Embedded Ada Generation X2 occupy very different positions in the performance and efficiency spectrum, and the recorded data shows clear strengths for each in distinct use cases.

The AMD Ryzen Z2 Go GPU wins decisively in power efficiency. Its 28 W TDP is dramatically lower than the 150 W TDP of the NVIDIA part, representing a power draw that is roughly one-fifth of the NVIDIA GPU. This makes the AMD GPU substantially better suited for compact, thermally constrained devices where energy consumption and heat dissipation are primary concerns. The AMD GPU also has a significantly higher boost clock at 2700 MHz compared to 1680 MHz on the NVIDIA GPU, which indicates that AMD designed this part to reach high frequencies while maintaining a low power envelope.

The NVIDIA RTX 5000 Embedded Ada Generation X2 wins in nearly every raw performance category. Its FP32 throughput of 32.69 TFLOPS is roughly 7.9 times higher than the AMD GPU's 4.147 TFLOPS. The pixel rate of 188.2 GPixel/s on the NVIDIA GPU is about 2.2 times higher than the AMD GPU's 86.40 GPixel/s. The texture rate of 510.7 GTexel/s is approximately 3.9 times higher than the AMD GPU's 129.6 GTexel/s. Memory bandwidth of 576.0 GB/s is about 5.6 times higher than the AMD GPU's 102.4 GB/s. These figures show that the NVIDIA GPU is in a completely different performance class for compute-intensive and graphics-intensive workloads.

The NVIDIA GPU also holds advantages in memory technology and interface. It uses GDDR6 memory instead of LPDDR5, has a 256-bit memory bus instead of 128-bit, and connects via PCIe 4.0 x16. The AMD GPU does not have a listed bus interface. The NVIDIA GPU includes 304 tensor cores, while the AMD GPU has no tensor cores listed. For ray tracing, the NVIDIA GPU has 76 RT cores versus 12 on the AMD GPU.

In terms of production timeline, the AMD Ryzen Z2 Go GPU has a release date of 2024-12-31, while the NVIDIA RTX 5000 Embedded Ada Generation X2 has a release date of 2023-03-20. The NVIDIA GPU is the earlier release, and the AMD GPU is a newer part.

Architecture Differences

The architectural divide between these two GPUs is substantial, reflecting different design philosophies and target applications.

The AMD Ryzen Z2 Go GPU is based on RDNA 2.0 architecture, a design that AMD has used across a range of products from console GPUs to discrete graphics. The chip is codenamed Rembrandt+, indicating it is an integrated-style design optimized for power efficiency. It is manufactured on TSMC's 6 nm process, which is an older node compared to the 5 nm process used for the NVIDIA GPU. The transistor count of 13,100 million on a 208 mm² die yields a density of 63.0M transistors per mm².

The NVIDIA RTX 5000 Embedded Ada Generation X2 is based on Ada Lovelace architecture, NVIDIA's most recent professional mobile architecture. The chip is AD103, a high-end design. It is manufactured on TSMC's 5 nm process, which offers better transistor density characteristics. The transistor count of 45,900 million on a 379 mm² die yields a density of 121.1M transistors per mm², nearly double the density of the AMD chip.

The feature sets differ sharply. The AMD GPU has 768 shading units, 48 texture mapping units, 32 raster output units, and 12 ray tracing cores. It has no tensor cores listed. The NVIDIA GPU has 9728 shading units, 304 texture mapping units, 112 raster output units, 76 ray tracing cores, and 304 tensor cores. The NVIDIA GPU has roughly 12.7 times more shading units, 6.3 times more TMUs, 3.5 times more ROPs, and 6.3 times more RT cores.

Compute throughput figures reflect these architectural differences. The AMD GPU delivers 4.147 TFLOPS FP32 and 8.294 TFLOPS FP16 at a 2:1 ratio. The NVIDIA GPU delivers 32.69 TFLOPS FP32 and 32.69 TFLOPS FP16 at a 1:1 ratio. The NVIDIA GPU's FP16 throughput matches its FP32 throughput, which is typical for Ada Lovelace designs, while the AMD GPU halves FP32 throughput when computing FP16.

The memory architecture also differs fundamentally. The AMD GPU uses LPDDR5 memory, which is designed for low power consumption and is commonly found in integrated or mobile designs. The NVIDIA GPU uses GDDR6, which offers higher bandwidth at the cost of higher power consumption. The memory clock difference is notable: the AMD GPU runs memory at 800 MHz with 6.4 Gbps effective speed, while the NVIDIA GPU runs memory at 2250 MHz with 18 Gbps effective speed.

Specification Differences

The specification tables for these two GPUs show differences in nearly every category. The table below summarizes only the fields where the two parts differ.

The process node differs: 6 nm for AMD versus 5 nm for NVIDIA. The foundry is the same, TSMC, for both. Transistor count differs at 13,100 million versus 45,900 million. Die size differs at 208 mm² versus 379 mm². Transistor density differs at 63.0M per mm² versus 121.1M per mm².

Base clocks differ at 800 MHz versus 930 MHz. Boost clocks differ at 2700 MHz versus 1680 MHz. Memory clocks differ at 800 MHz 6.4 Gbps effective versus 2250 MHz 18 Gbps effective.

Memory type differs: LPDDR5 versus GDDR6. Bus width differs at 128 bit versus 256 bit. Bandwidth differs at 102.4 GB/s versus 576.0 GB/s.

Shading units differ at 768 versus 9728. TMUs differ at 48 versus 304. ROPs differ at 32 versus 112. RT cores differ at 12 versus 76. Tensor cores are absent on the AMD GPU and numbered at 304 on the NVIDIA GPU.

Pixel rates differ at 86.40 GPixel/s versus 188.2 GPixel/s. Texture rates differ at 129.6 GTexel/s versus 510.7 GTexel/s. FP32 throughput differs at 4.147 TFLOPS versus 32.69 TFLOPS. FP16 throughput differs at 8.294 TFLOPS (2:1) versus 32.69 TFLOPS (1:1).

TDP differs at 28 W versus 150 W. The NVIDIA GPU has a slot width of IGP and a bus interface of PCIe 4.0 x16, while the AMD GPU has neither listed. Display outputs differ: the AMD GPU has 1x USB Type-C, while the NVIDIA GPU has Portable Device Dependent outputs.

Release dates differ: the AMD GPU was released on 2024-12-31, while the NVIDIA GPU was released on 2023-03-20. The NVIDIA GPU has a predecessor listed as Ampere-MW and a successor listed as Blackwell-MW, while the AMD GPU has no predecessor or successor listed.

The NVIDIA GPU belongs to the GeForce 50-series, while the AMD GPU has no series listed. The AMD GPU is in the Console GPU (AMD) generation, while the NVIDIA GPU is in the Ada-MW generation.

Head-to-Head Benchmarks

The benchmark data for these two GPUs shows no recorded head-to-head benchmark results, and both GPUs have an average benchmark score of 0 and a percentile rank of 50 among all GPUs. The wins counters also show zero wins for each GPU. This means the comparison must be derived from the raw specification data recorded in the database.

The largest single advantage for the NVIDIA RTX 5000 Embedded Ada Generation X2 is in FP32 compute throughput. The NVIDIA GPU delivers 32.69 TFLOPS, which is 7.9 times the 4.147 TFLOPS of the AMD Ryzen Z2 Go GPU. This is the most pronounced difference in any measured category and indicates that the NVIDIA GPU is capable of handling compute workloads at a scale the AMD GPU cannot approach.

Memory bandwidth is the second-largest advantage. The NVIDIA GPU's 576.0 GB/s bandwidth is 5.6 times the AMD GPU's 102.4 GB/s. This bandwidth advantage is critical for large data sets, high-resolution textures, and compute workloads that are memory-bound. The AMD GPU's LPDDR5 memory and 128-bit bus simply cannot sustain the data throughput of the NVIDIA GPU's GDDR6 memory on a 256-bit bus.

Texture rate shows a 3.9 times advantage for the NVIDIA GPU at 510.7 GTexel/s versus 129.6 GTexel/s. This difference matters for texture-heavy rendering workloads. The pixel rate advantage is 2.2 times, with the NVIDIA GPU at 188.2 GPixel/s versus 86.40 GPixel/s for the AMD GPU. This affects fill-rate-bound scenarios such as high-resolution rendering with heavy overdraw.

The shading unit count difference is dramatic: 9728 versus 768, a 12.7 times advantage for NVIDIA. This explains the large FP32 throughput gap. The RT core count difference is 76 versus 12, a 6.3 times advantage for NVIDIA. The tensor core presence on the NVIDIA GPU, at 304 cores, adds a capability class that the AMD GPU completely lacks.

The AMD Ryzen Z2 Go GPU's advantages are more modest in magnitude but still significant. The boost clock of 2700 MHz is 1.6 times higher than the NVIDIA GPU's 1680 MHz boost clock. This higher boost clock partially compensates for the lower core count, though not nearly enough to close the compute gap. The TDP of 28 W is 5.4 times lower than the NVIDIA GPU's 150 W, which is the AMD GPU's most meaningful advantage in practical terms.

The FP16 capability is worth noting. The AMD GPU delivers 8.294 TFLOPS FP16, which is double its FP32 rate, indicating a 2:1 FP16 ratio. The NVIDIA GPU delivers 32.69 TFLOPS FP16, which matches its FP32 rate at a 1:1 ratio. In absolute terms, the NVIDIA GPU is 3.9 times faster in FP16, but the AMD GPU's ability to double FP32 throughput when switching to FP16 is a useful efficiency feature.

Transistor density figures show the NVIDIA GPU is more efficient in terms of transistors per square millimeter: 121.1M versus 63.0M per mm². This reflects the more advanced 5 nm process node. The NVIDIA GPU also has a larger die at 379 mm² versus 208 mm², which combined with the higher density allows for more than three times the transistor count.

The Verdict

The data indicates that these are two GPUs with fundamentally different intended applications, and the appropriate choice depends entirely on the workload and power constraints.

For workloads that demand maximum compute performance, the NVIDIA RTX 5000 Embedded Ada Generation X2 is the clear choice. Its 32.69 TFLOPS FP32 throughput, 576.0 GB/s memory bandwidth, 304 tensor cores, and 76 RT cores place it in a performance tier that the AMD Ryzen Z2 Go GPU cannot approach. Applications that rely on ray tracing, tensor-based acceleration, or high-bandwidth memory access will see substantially better results on the NVIDIA GPU. The 5.6 times memory bandwidth advantage alone makes the NVIDIA GPU necessary for memory-bound workloads.

For power-constrained environments, the AMD Ryzen Z2 Go GPU is the appropriate selection. The 28 W TDP versus 150 W TDP represents a 5.4 times power reduction, which can be the determining factor in compact devices with limited thermal headroom. The AMD GPU's 2700 MHz boost clock shows it can reach high frequencies within its power budget, and its 16 GB of LPDDR5 memory provides adequate capacity even if bandwidth is limited.

The release timeline matters for platform decisions. The AMD GPU was released on 2024-12-31, while the NVIDIA GPU was released on 2023-03-20. The NVIDIA GPU has recorded predecessors and successors, indicating an established product line, while the AMD GPU appears to be a newer entry without a defined lineage.

Neither GPU has recorded benchmark scores, so the specification analysis above is the only quantitative basis for comparison. The percentile ranking of 50 for both GPUs places them at the median of the database, though this ranking is based on the database's overall distribution rather than head-to-head measurements.

The choice between these GPUs is straightforward from the data: the NVIDIA RTX 5000 Embedded Ada Generation X2 delivers approximately 8 times the FP32 compute, 5.6 times the memory bandwidth, and 3.9 times the texture rate of the AMD Ryzen Z2 Go GPU, while consuming 5.4 times more power. The AMD GPU offers a lower-power alternative with a higher boost clock and identical API support. Users who need maximum performance should select the NVIDIA GPU, while users who need minimum power consumption should select the AMD GPU.