AMD Ryzen Z2 GPU vs NVIDIA RTX 1000 Mobile Ada Generation Comparison

FAQ

Q: What are the two products compared here?

A: The AMD Ryzen Z2 GPU, a Console GPU from AMD based on the Hawk Point chip, and the NVIDIA RTX 1000 Mobile Ada Generation, a mobile workstation GPU from NVIDIA based on the AD107 chip.

Q: Which GPU has more memory and what type?

A: The AMD Ryzen Z2 GPU has 16 GB of LPDDR5X memory on a 128-bit bus, while the NVIDIA RTX 1000 Mobile Ada Generation has 6 GB of GDDR6 memory on a 96-bit bus.

Q: How do the boost clocks compare?

A: The AMD Ryzen Z2 GPU boosts to 2700 MHz, while the NVIDIA RTX 1000 Mobile Ada Generation boosts to 2025 MHz. The AMD part has a base clock of 800 MHz versus 1485 MHz for the NVIDIA part.

Q: Which GPU has a higher FP32 performance figure?

A: The NVIDIA RTX 1000 Mobile Ada Generation delivers 10.37 TFLOPS FP32, while the AMD Ryzen Z2 GPU delivers 8.294 TFLOPS FP32.

Q: What are the process nodes for each chip?

A: The AMD Ryzen Z2 GPU uses a 4 nm TSMC process, while the NVIDIA RTX 1000 Mobile Ada Generation uses a 5 nm TSMC process.

Q: What is the TDP difference between the two?

A: The AMD Ryzen Z2 GPU has a TDP of 28 W, while the NVIDIA RTX 1000 Mobile Ada Generation has a TDP of 35 W.

Architecture Differences

The AMD Ryzen Z2 GPU is built on the RDNA 3.0 architecture, while the NVIDIA RTX 1000 Mobile Ada Generation uses the Ada Lovelace architecture. These are fundamentally different GPU designs with distinct approaches to compute and rendering.

The AMD chip is manufactured on a 4 nm process at TSMC, housing 25,390 million transistors within a 178 mm² die. The NVIDIA chip uses a 5 nm process at the same foundry, with 18,900 million transistors on a 159 mm² die. Transistor density differs accordingly: the AMD part reaches 142.6M per mm², while the NVIDIA part reaches 118.9M per mm².

The shader configurations are notably different. The AMD Ryzen Z2 GPU has 768 shading units, 48 texture mapping units, and 32 raster operation pipelines. The NVIDIA RTX 1000 Mobile Ada Generation contains 2,560 shading units, 80 TMUs, and 48 ROPs. This gives the NVIDIA part a larger raw shader count, though the AMD design uses a different execution model.

Ray tracing hardware also differs. The AMD GPU includes 12 RT cores, whereas the NVIDIA GPU has 20 RT cores. The NVIDIA part additionally includes 80 tensor cores, a feature absent from the AMD specification, which has no tensor core count listed.

Memory architecture is another key divergence. The AMD Ryzen Z2 GPU pairs 16 GB of LPDDR5X memory with a 128-bit bus, yielding 119.9 GB/s bandwidth. The NVIDIA RTX 1000 Mobile Ada Generation uses 6 GB of GDDR6 on a 96-bit bus, achieving 192.0 GB/s bandwidth. The NVIDIA memory clock runs at 2000 MHz (16 Gbps effective), while the AMD memory clock is 937 MHz (7.5 Gbps effective).

Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA part uses a PCIe 4.0 x8 bus interface, while the AMD part has no listed bus interface. Display outputs differ too: the AMD GPU provides 1x USB Type-C, while the NVIDIA part lists Portable Device Dependent output.

Where Each One Wins

The data indicates distinct strengths for each GPU based on their specifications. The AMD Ryzen Z2 GPU holds a clear advantage in memory capacity, offering 16 GB versus 6 GB. This suggests a use case for workloads that require large datasets resident in VRAM, such as complex scene rendering or machine learning inference batches that exceed 6 GB. The higher 2700 MHz boost clock also points to a design favoring sustained compute throughput in a lower power envelope.

The NVIDIA RTX 1000 Mobile Ada Generation wins on raw compute metrics. Its FP32 throughput of 10.37 TFLOPS exceeds the AMD part's 8.294 TFLOPS by a significant margin. The pixel rate of 97.20 GPixel/s and texture rate of 162.0 GTexel/s also outpace the AMD figures of 86.40 GPixel/s and 129.6 GTexel/s respectively. The NVIDIA part delivers 192.0 GB/s memory bandwidth, which is 60% higher than the AMD's 119.9 GB/s, providing an edge in bandwidth-sensitive workloads.

The tensor cores on the NVIDIA part, absent from the AMD specification, offer dedicated hardware for AI acceleration that the AMD GPU cannot match through its listed features. The higher TDP of 35 W versus 28 W also suggests the NVIDIA part is designed to sustain higher performance under load, while the AMD part prioritizes power efficiency.

Specification Differences

| Specification | AMD Ryzen Z2 GPU | NVIDIA RTX 1000 Mobile Ada Generation |

|---|---|---|

| Architecture | RDNA 3.0 | Ada Lovelace |

| Process Node | 4 nm | 5 nm |

| Transistors | 25,390 million | 18,900 million |

| Die Size | 178 mm² | 159 mm² |

| Transistor Density | 142.6M / mm² | 118.9M / mm² |

| Base Clock | 800 MHz | 1485 MHz |

| Boost Clock | 2700 MHz | 2025 MHz |

| Memory Size | 16 GB | 6 GB |

| Memory Type | LPDDR5X | GDDR6 |

| Memory Bus | 128 bit | 96 bit |

| Memory Bandwidth | 119.9 GB/s | 192.0 GB/s |

| Memory Clock | 937 MHz 7.5 Gbps effective | 2000 MHz 16 Gbps effective |

| Shading Units | 768 | 2560 |

| TMUs | 48 | 80 |

| ROPs | 32 | 48 |

| RT Cores | 12 | 20 |

| Tensor Cores | None listed | 80 |

| Pixel Rate | 86.40 GPixel/s | 97.20 GPixel/s |

| Texture Rate | 129.6 GTexel/s | 162.0 GTexel/s |

| FP32 | 8.294 TFLOPS | 10.37 TFLOPS |

| FP16 | 8.294 TFLOPS (1:1) | 10.37 TFLOPS (1:1) |

| TDP | 28 W | 35 W |

| Bus Interface | None listed | PCIe 4.0 x8 |

| Display Outputs | 1x USB Type-C | Portable Device Dependent |

| Slot Width | None listed | IGP |

| Release Date | 2024-12-31 | 2024-02-25 |

| Predecessor | None listed | Ampere-MW |

| Successor | None listed | Blackwell-MW |

Head-to-Head Benchmarks

The database contains no recorded benchmark scores for either GPU, with both having an average benchmark score of 0 and no head-to-head benchmark entries. The percentile ranking for both parts against all GPUs is identical at 50. Without measured performance data, the comparison must rely entirely on the specification differences recorded in the database.

The most significant compute gap appears in FP32 throughput. The NVIDIA RTX 1000 Mobile Ada Generation delivers 10.37 TFLOPS against the AMD Ryzen Z2 GPU's 8.294 TFLOPS, a difference of 2.076 TFLOPS or approximately 25% higher on the NVIDIA side. This advantage carries through to pixel rate, where the NVIDIA part achieves 97.20 GPixel/s versus 86.40 GPixel/s, and texture rate, where 162.0 GTexel/s outpaces 129.6 GTexel/s.

Memory bandwidth presents another clear divergence. The NVIDIA part's 192.0 GB/s exceeds the AMD part's 119.9 GB/s by 72.1 GB/s, a 60% advantage. This bandwidth gap could meaningfully affect workloads that stream large textures or geometry. However, the AMD part's 16 GB capacity is more than double the NVIDIA's 6 GB, which could offset bandwidth limitations in scenarios where capacity is the binding constraint.

The AMD Ryzen Z2 GPU counters with a higher boost clock of 2700 MHz versus 2025 MHz. This 675 MHz advantage in clock speed may help narrow the compute gap in single-threaded or latency-sensitive operations, though the NVIDIA part's larger shader count provides more parallel execution resources.

Ray tracing hardware favors the NVIDIA part with 20 RT cores versus 12, and the 80 tensor cores provide dedicated AI compute that the AMD part lacks entirely. The AMD part's higher transistor count (25,390 million versus 18,900 million) and smaller process node (4 nm versus 5 nm) indicate a denser design, but this does not translate into higher peak throughput based on the listed rates.

The Verdict

The database shows two GPUs with different optimization targets. The AMD Ryzen Z2 GPU, with its 16 GB memory capacity and 28 W TDP, appears oriented toward applications where memory footprint and power efficiency are primary concerns. Its 8.294 TFLOPS FP32 and 119.9 GB/s bandwidth are sufficient for many workloads, but the data indicates it trails the NVIDIA part in raw throughput metrics.

The NVIDIA RTX 1000 Mobile Ada Generation holds advantages in FP32 compute, pixel rate, texture rate, memory bandwidth, ray tracing core count, and tensor core availability. Its 10.37 TFLOPS FP32, 192.0 GB/s bandwidth, and 80 tensor cores position it for compute-heavy tasks including AI inference and high-resolution graphics work. The 35 W TDP suggests a willingness to consume more power for additional performance.

Users who need to fit large models or datasets within GPU memory should consider the AMD Ryzen Z2 GPU, as its 16 GB capacity is the largest memory allocation available between these two parts. Users whose workloads are bandwidth- or compute-bound, particularly those leveraging tensor cores for AI acceleration, would likely find the NVIDIA RTX 1000 Mobile Ada Generation more capable based on the recorded specifications.

The absence of benchmark scores in the database means these conclusions derive from specification analysis rather than measured performance. Both GPUs sit at the 50th percentile in the database's overall ranking, and both remain in active production. The release dates differ, with the NVIDIA part appearing in the database earlier, but both are current products. The NVIDIA part lists a predecessor (Ampere-MW) and successor (Blackwell-MW), while the AMD part has neither listed, suggesting different product lifecycles.