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

Head-to-Head Benchmarks

The database does not contain any recorded head-to-head benchmark results for the AMD Ryzen Z2 Go GPU and the NVIDIA RTX 1000 Mobile Ada Generation. Both entries show an average benchmark score of zero, and the wins counter for each side is zero. This means no direct performance comparison can be derived from the recorded data.

What the data does show is the theoretical compute ceiling for each part. The NVIDIA RTX 1000 Mobile Ada Generation delivers 10.37 TFLOPS of FP32 throughput, while the AMD Ryzen Z2 Go GPU delivers 4.147 TFLOPS. That is a 2.5x gap in raw floating-point math. The NVIDIA part also produces 162.0 GTexel/s of texture fill rate versus 129.6 GTexel/s for the AMD part, a 25% difference. Pixel fill rates are closer: 97.20 GPixel/s for NVIDIA versus 86.40 GPixel/s for AMD, a 12.5% gap.

Memory bandwidth favors the NVIDIA part as well. The RTX 1000 Mobile Ada Generation uses 192.0 GB/s of bandwidth, while the Ryzen Z2 Go GPU is limited to 102.4 GB/s. That is a 87.5% advantage for NVIDIA. The AMD part compensates with a larger memory pool of 16 GB versus 6 GB, but in terms of raw data movement per second, NVIDIA is clearly ahead.

The absence of actual benchmark scores means these theoretical figures are the only quantitative comparison available. The percentile ranking for both parts is identical at 50, placing them in the middle of the database's GPU distribution despite their very different specifications. Without measured workloads, the percentiles should be treated as a neutral placement rather than a performance verdict.

Where Each One Wins

The AMD Ryzen Z2 Go GPU has a clear advantage in memory capacity. Its 16 GB of LPDDR5 memory doubles the total memory available for assets, textures, and data sets. For workloads that exceed the 6 GB capacity of the NVIDIA part, the AMD part will not need to spill to system memory or reduce asset quality. This makes it the better choice for large model inference, high-resolution texture packs, or multitasking with multiple GPU-resident applications.

The NVIDIA RTX 1000 Mobile Ada Generation wins on raw compute throughput across every measured metric. Its FP32 rate of 10.37 TFLOPS is more than double the AMD part's 4.147 TFLOPS. Texture rate, pixel rate, and memory bandwidth all favor NVIDIA. The NVIDIA part also has dedicated tensor cores (80 of them) and more RT cores (20 versus 12), which gives it a structural edge in AI-accelerated tasks and ray-traced workloads that can use those dedicated units.

The AMD part uses RDNA 2.0 architecture, which supports FP16 at a 2:1 ratio, delivering 8.294 TFLOPS. The NVIDIA part delivers FP16 at a 1:1 ratio, meaning its FP16 throughput equals its FP32 throughput at 10.37 TFLOPS. For mixed-precision workflows, NVIDIA still leads, but the AMD part's FP16 capability is closer to parity than its FP32 numbers suggest.

Power consumption is another differentiator. The AMD part is rated at 28 W TDP, while the NVIDIA part is rated at 35 W TDP. The AMD part will produce less heat and require less cooling, which can matter in compact or passively cooled systems. The NVIDIA part uses 25% more power, but delivers substantially more compute per watt based on the theoretical ratios.

Architecture Differences

The two GPUs come from different architectural generations and process nodes. The AMD Ryzen Z2 Go GPU uses RDNA 2.0 architecture on a 6 nm process from TSMC, built on the Rembrandt+ chip. The NVIDIA RTX 1000 Mobile Ada Generation uses Ada Lovelace architecture on a 5 nm process from TSMC, built on the AD107 chip.

Transistor counts differ significantly. The NVIDIA chip contains 18,900 million transistors on a 159 mm² die, resulting in a transistor density of 118.9M per mm². The AMD chip contains 13,100 million transistors on a larger 208 mm² die, giving a density of 63.0M per mm². The NVIDIA chip packs 44% more transistors into a 24% smaller die, reflecting the denser 5 nm process.

The compute unit counts tell a different story. The NVIDIA part has 2560 shading units, 80 TMUs, and 48 ROPs. The AMD part has 768 shading units, 48 TMUs, and 32 ROPs. The NVIDIA part has nearly 3.3x the shading units and 1.67x the TMUs. Both parts have 12 ROPs fewer on the AMD side. The NVIDIA part also has 80 tensor cores and 20 RT cores, while the AMD part has 12 RT cores and no tensor cores at all.

Memory architectures are fundamentally different. The AMD part uses a 128-bit LPDDR5 bus with 6.4 Gbps effective speed, yielding 102.4 GB/s. The NVIDIA part uses a 96-bit GDDR6 bus with 16 Gbps effective speed, yielding 192.0 GB/s. The narrower but faster GDDR6 bus gives NVIDIA more bandwidth despite fewer memory pins. The AMD part's LPDDR5 is typically integrated on-package, while the NVIDIA part uses discrete memory modules.

Clock behavior also differs. The AMD part has a base clock of 800 MHz and a boost clock of 2700 MHz, a very wide boost range. The NVIDIA part has a base clock of 1485 MHz and a boost clock of 2025 MHz, a narrower range. The AMD part's high boost clock partially compensates for its lower shader count, but not enough to close the FP32 gap.

FAQ

Q: Which GPU has more memory bandwidth?

A: The NVIDIA RTX 1000 Mobile Ada Generation has 192.0 GB/s of bandwidth, which is 87.5% higher than the AMD Ryzen Z2 Go GPU's 102.4 GB/s.

Q: Does the AMD part have tensor cores?

A: No, the AMD Ryzen Z2 Go GPU does not list tensor cores. The NVIDIA RTX 1000 Mobile Ada Generation has 80 tensor cores.

Q: What is the FP32 throughput difference?

A: The NVIDIA part delivers 10.37 TFLOPS of FP32, while the AMD part delivers 4.147 TFLOPS. NVIDIA is approximately 2.5x faster in raw FP32 compute.

Q: Which GPU has a larger memory pool?

A: The AMD Ryzen Z2 Go GPU has 16 GB of LPDDR5 memory, while the NVIDIA RTX 1000 Mobile Ada Generation has 6 GB of GDDR6 memory.

Q: What is the TDP difference?

A: The AMD part is rated at 28 W, and the NVIDIA part is rated at 35 W. The AMD part uses 20% less power.

Q: Which GPU supports the same API levels?

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

Specification Differences

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

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

| Architecture | RDNA 2.0 | Ada Lovelace |

| Process node | 6 nm | 5 nm |

| Transistors | 13,100 million | 18,900 million |

| Die size | 208 mm² | 159 mm² |

| Transistor density | 63.0M / mm² | 118.9M / mm² |

| Base clock | 800 MHz | 1485 MHz |

| Boost clock | 2700 MHz | 2025 MHz |

| Memory size | 16 GB | 6 GB |

| Memory type | LPDDR5 | GDDR6 |

| Memory bus | 128 bit | 96 bit |

| Memory bandwidth | 102.4 GB/s | 192.0 GB/s |

| Shading units | 768 | 2560 |

| TMUs | 48 | 80 |

| ROPs | 32 | 48 |

| RT cores | 12 | 20 |

| Tensor cores | None | 80 |

| Pixel rate | 86.40 GPixel/s | 97.20 GPixel/s |

| Texture rate | 129.6 GTexel/s | 162.0 GTexel/s |

| FP32 | 4.147 TFLOPS | 10.37 TFLOPS |

| FP16 | 8.294 TFLOPS (2:1) | 10.37 TFLOPS (1:1) |

| TDP | 28 W | 35 W |

| Bus interface | Not listed | PCIe 4.0 x8 |

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

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

| Predecessor | Not listed | Ampere-MW |

| Successor | Not listed | Blackwell-MW |

The Verdict

The data clearly separates these two GPUs by intent. The AMD Ryzen Z2 Go GPU is a low-power, high-capacity part: 28 W TDP, 16 GB of memory, and a compact 208 mm² die. It trades raw compute for memory capacity and efficiency. The NVIDIA RTX 1000 Mobile Ada Generation is a higher-power, higher-throughput part: 35 W TDP, 10.37 TFLOPS FP32, 80 tensor cores, and a denser 5 nm design.

For workloads that are memory-capacity bound, such as loading very large models or working with high-resolution assets that must stay resident in VRAM, the AMD part's 16 GB pool is the decisive factor. The NVIDIA part's 6 GB will hit a ceiling sooner in those scenarios.

For compute-bound workloads, the NVIDIA part wins by every measured metric. Its FP32 rate is 2.5x higher, its texture rate is 25% higher, its pixel rate is 12.5% higher, and its memory bandwidth is 87.5% higher. The tensor cores provide additional acceleration paths for AI workloads that the AMD part cannot match.

The release dates also suggest different lifecycles. The NVIDIA part shipped in early 2024 with a defined predecessor (Ampere-MW) and successor (Blackwell-MW), indicating a mature product line. The AMD part shipped at the end of 2024 with no listed predecessor or successor, suggesting a more isolated or specialized placement.

The user should select based on the workload profile. If the task requires more than 6 GB of GPU memory, the AMD Ryzen Z2 Go GPU is the only option between the two. If the task is compute-intensive and fits within 6 GB, the NVIDIA RTX 1000 Mobile Ada Generation is the clear choice based on all recorded performance metrics.