AMD Ryzen Z2 Go GPU vs NVIDIA GeForce RTX 4080 Max-Q Comparison

Head-to-Head Benchmarks

The recorded data contains no direct head-to-head benchmark entries for the AMD Ryzen Z2 Go GPU versus the NVIDIA GeForce RTX 4080 Max-Q. Both products show an empty benchmark array in the database, and the win counters for each side are set to zero. As a result, there are no measured frame rates, composite scores, or per-game results to compare directly. The percentile ranking for both parts is identical at 50, which places each in the median position relative to all other GPUs in the database, but this does not reflect any matchup-specific performance data.

What can be established from the database is the theoretical compute ceiling of each part, derived from their respective specification sheets. The NVIDIA GeForce RTX 4080 Max-Q delivers 20.04 TFLOPS of FP32 throughput, which is 4.83 times the 4.147 TFLOPS of the AMD Ryzen Z2 Go GPU. In FP16 compute, the NVIDIA part maintains 20.04 TFLOPS with a 1:1 ratio, while the AMD part reaches 8.294 TFLOPS with a 2:1 ratio, meaning the NVIDIA GPU is 2.42 times higher in that metric as well. These figures represent raw shader output, not real-world game performance, but they do indicate a substantial gap in peak arithmetic capability.

Texture and pixel throughput tell a similar story. The RTX 4080 Max-Q produces 313.2 GTexel/s against 129.6 GTexel/s for the Ryzen Z2 Go, a 2.42 times advantage. Pixel fill rates are closer: 108.0 GPixel/s versus 86.40 GPixel/s, a 1.25 times margin. The smaller pixel-rate gap compared to texture rate suggests the NVIDIA GPU has a more pronounced advantage in shader-heavy and texture-heavy workloads than in pure rasterization throughput at the render output stage.

Memory bandwidth is another area of clear separation. The RTX 4080 Max-Q accesses 432.0 GB/s over a 192-bit bus, while the Ryzen Z2 Go operates at 102.4 GB/s over a 128-bit interface. That is a 4.22 times bandwidth advantage for the NVIDIA part. With no benchmark scores logged, the database cannot confirm how these theoretical differences translate into actual application results, but the scale of the specification gaps is consistent across compute, texture, and memory domains.

FAQ

Q: Which GPU has more shading units?

A: The NVIDIA GeForce RTX 4080 Max-Q has 7424 shading units. The AMD Ryzen Z2 Go GPU has 768 shading units.

Q: How do the memory configurations differ?

A: The AMD Ryzen Z2 Go GPU uses 16 GB of LPDDR5 memory on a 128-bit bus, yielding 102.4 GB/s of bandwidth. The NVIDIA GeForce RTX 4080 Max-Q uses 12 GB of GDDR6 memory on a 192-bit bus, yielding 432.0 GB/s of bandwidth.

Q: What are the FP32 compute figures for each GPU?

A: The AMD Ryzen Z2 Go GPU delivers 4.147 TFLOPS of FP32 performance. The NVIDIA GeForce RTX 4080 Max-Q delivers 20.04 TFLOPS of FP32 performance.

Q: Which product has ray tracing cores?

A: Both GPUs have ray tracing cores. The AMD Ryzen Z2 Go GPU has 12 RT cores, while the NVIDIA GeForce RTX 4080 Max-Q has 58 RT cores.

Q: What is the thermal design power of each part?

A: The AMD Ryzen Z2 Go GPU has a TDP of 28 W. The NVIDIA GeForce RTX 4080 Max-Q has a TDP of 60 W.

Q: Are both GPUs on the same manufacturing process?

A: No. The AMD Ryzen Z2 Go GPU uses a 6 nm process at TSMC. The NVIDIA GeForce RTX 4080 Max-Q uses a 5 nm process at TSMC.

Architecture Differences

The two GPUs come from different architectural families. The AMD Ryzen Z2 Go GPU is built on RDNA 2.0, using the Rembrandt+ chip, and is classified in the database as a Console GPU product from AMD. The NVIDIA GeForce RTX 4080 Max-Q uses the Ada Lovelace architecture with the AD104 chip, belonging to the GeForce 40 Mobile generation.

The transistor budgets reflect the architectural disparity. The AMD chip packs 13,100 million transistors onto a 208 mm² die, resulting in a transistor density of 63.0M per mm². The NVIDIA chip contains 35,800 million transistors on a 294 mm² die, for a density of 121.8M per mm². The NVIDIA part nearly triples the transistor count while using a smaller process node, 5 nm versus 6 nm, both fabricated by TSMC.

Ray tracing hardware exists on both sides but at different scales. The AMD Ryzen Z2 Go GPU includes 12 RT cores, while the NVIDIA part includes 58 RT cores. Tensor cores are present only on the NVIDIA side, with 232 tensor cores listed; the AMD part has no tensor core field populated. This indicates a structural difference in how each architecture handles dedicated acceleration workloads, with the NVIDIA GPU providing a separate tensor path that the AMD GPU lacks entirely.

The functional unit counts diverge sharply. The AMD GPU has 768 shading units, 48 texture mapping units, and 32 ROPs. The NVIDIA GPU has 7424 shading units, 232 TMUs, and 80 ROPs. The ratio of shading units to TMUs is 16:1 on both parts (768/48 and 7424/232), indicating a consistent per-texture-unit shader allocation, but the absolute scale is far larger on the NVIDIA chip.

Memory technology also differs at the architectural level. The AMD part uses LPDDR5 memory, which is commonly integrated in low-power designs, while the NVIDIA part uses GDDR6. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so the API feature sets are identical in the database. The NVIDIA GPU lists a PCIe 4.0 x16 bus interface, while the AMD GPU has no bus interface recorded.

Specification Differences

The two products differ across nearly every recorded specification field. The AMD Ryzen Z2 Go GPU has a base clock of 800 MHz and a boost clock of 2700 MHz. The NVIDIA GeForce RTX 4080 Max-Q has a base clock of 795 MHz and a boost clock of 1350 MHz. The AMD part runs its boost clock at exactly twice the NVIDIA boost clock, though the NVIDIA part compensates with far more execution units.

Memory capacity goes to the AMD part: 16 GB versus 12 GB. Memory type, bus width, and bandwidth all favor the NVIDIA GPU: GDDR6 over LPDDR5, 192-bit over 128-bit, and 432.0 GB/s over 102.4 GB/s. The memory clock is recorded as 800 MHz with 6.4 Gbps effective for the AMD part, and 2250 MHz with 18 Gbps effective for the NVIDIA part.

Compute rates favor NVIDIA across the board. FP32 is 20.04 TFLOPS versus 4.147 TFLOPS. FP16 is 20.04 TFLOPS (1:1) versus 8.294 TFLOPS (2:1). Pixel rate is 108.0 GPixel/s versus 86.40 GPixel/s. Texture rate is 313.2 GTexel/s versus 129.6 GTexel/s.

Power draw differs substantially. The AMD Ryzen Z2 Go GPU is rated at 28 W TDP, while the NVIDIA GeForce RTX 4080 Max-Q is rated at 60 W TDP. Both parts list no power connectors, and neither has a suggested PSU. The NVIDIA part is classified as an IGP in slot width, while the AMD part has no slot width recorded. Display outputs also differ: the AMD part lists 1x USB Type-C, while the NVIDIA part lists "Portable Device Dependent."

Release timing is recorded differently. The AMD product has a release date of 2024-12-31, while the NVIDIA product has a release date of 2023-01-02. The NVIDIA part has a recorded predecessor, GeForce 30 Mobile, and a successor, GeForce 50 Mobile. The AMD part has neither predecessor nor successor fields populated. Neither product has a launch MSRP in the database.

Where Each One Wins

The AMD Ryzen Z2 Go GPU wins on memory capacity with 16 GB against 12 GB, which the data shows could be relevant for workloads that require larger working sets to stay in local memory. It also operates at a lower TDP of 28 W versus 60 W, indicating a lower power envelope for the same thermal class. The AMD boost clock of 2700 MHz is double the NVIDIA boost clock of 1350 MHz, though clock speed alone does not determine overall performance. The AMD part has a slightly higher base clock as well, 800 MHz versus 795 MHz.

The NVIDIA GeForce RTX 4080 Max-Q wins on every raw throughput metric recorded. FP32 compute is 4.83 times higher, FP16 compute is 2.42 times higher, texture rate is 2.42 times higher, and pixel rate is 1.25 times higher. Memory bandwidth is 4.22 times higher, which benefits any workload that streams large amounts of data through the GPU. The NVIDIA part also has more than nine times the shading units, nearly five times the TMUs, 2.5 times the ROPs, and more than four times the RT cores.

The use-case split follows these metric disparities. The AMD Ryzen Z2 Go GPU is positioned for scenarios where memory capacity and low power draw take priority over raw throughput. Its 16 GB frame buffer and 28 W TDP fit a portable, power-constrained context. The NVIDIA GeForce RTX 4080 Max-Q is positioned for scenarios where compute throughput, memory bandwidth, and ray tracing hardware matter most, such as high-resolution rendering, complex shading workloads, and ray-traced effects. Its 58 RT cores and 232 tensor cores provide acceleration paths that the AMD part cannot match.

The Verdict

The database shows two GPUs with opposite design priorities. The AMD Ryzen Z2 Go GPU offers 16 GB of memory, a 28 W TDP, and a 2700 MHz boost clock, but its compute resources are limited to 768 shading units and 4.147 TFLOPS FP32. The NVIDIA GeForce RTX 4080 Max-Q offers 7424 shading units, 20.04 TFLOPS FP32, 432.0 GB/s memory bandwidth, and 58 RT cores, all within a 60 W TDP.

For workloads dominated by raw rendering throughput, the NVIDIA part is the clear choice based on the recorded data. It exceeds the AMD part by 4.83 times in FP32 compute, 4.22 times in memory bandwidth, and 2.42 times in texture rate. The 12 GB memory capacity is lower than the AMD part's 16 GB, but the NVIDIA GPU's bandwidth advantage of 432.0 GB/s versus 102.4 GB/s suggests it can feed its larger execution resource more effectively.

For workloads that require maximum memory capacity or minimal power draw, the AMD part has the recorded advantage. Its 16 GB frame buffer exceeds the NVIDIA part by 4 GB, and its 28 W TDP is less than half of the NVIDIA part's 60 W rating. The AMD part also carries a higher boost clock, 2700 MHz versus 1350 MHz, which may benefit lightly threaded tasks that scale with frequency rather than core count.

Neither product has recorded benchmark scores, so the verdict must rest on specification analysis. The NVIDIA GeForce RTX 4080 Max-Q is the higher-performing part by every throughput metric in the database, with a correspondingly higher power draw. The AMD Ryzen Z2 Go GPU is the higher-capacity, lower-power alternative that trades execution resources for memory size and efficiency. The data indicates that the NVIDIA part targets performance-intensive mobile workloads, while the AMD part targets power-sensitive applications where 16 GB of memory is the binding constraint.