AMD Ryzen Z2 GPU vs NVIDIA GeForce RTX 4090 Max-Q Comparison

Head-to-Head Benchmarks

The database contains no recorded head-to-head benchmark results between the AMD Ryzen Z2 GPU and the NVIDIA GeForce RTX 4090 Max-Q. Both entries have empty benchmark arrays, zero average benchmark scores, and zero recorded wins in either direction. Consequently, no direct performance comparison can be derived from measured frame rates, synthetic scores, or compute workloads.

What the recorded data does provide is a side-by-side specification comparison. The NVIDIA GeForce RTX 4090 Max-Q delivers 28.31 TFLOPS of FP32 compute against 8.294 TFLOPS for the AMD Ryzen Z2 GPU, a 3.41x advantage in raw shader throughput. The NVIDIA part also holds a substantial lead in texture and pixel throughput: 442.3 GTexel/s versus 129.6 GTexel/s, and 163.0 GPixel/s versus 86.40 GPixel/s. These figures indicate the RTX 4090 Max-Q is equipped to handle substantially higher geometric complexity and fill-rate demand.

Memory bandwidth tells a similar story. The RTX 4090 Max-Q accesses 576.0 GB/s over a 256-bit bus, while the Ryzen Z2 GPU manages 119.9 GB/s over a 128-bit interface. That is a 4.80x bandwidth advantage for the NVIDIA part, which directly impacts texture streaming, high-resolution rendering, and data-heavy compute workloads.

The Ryzen Z2 GPU counters in efficiency-focused metrics. Its 28 W TDP versus 80 W TDP means the AMD part draws 35% of the power of the NVIDIA part. Normalized for power, the RTX 4090 Max-Q delivers 0.354 TFLOPS per watt, while the Ryzen Z2 GPU delivers 0.296 TFLOPS per watt. The NVIDIA part remains more efficient on a per-watt basis, but the AMD part operates within a far lower absolute power envelope, which suits compact, thermally constrained systems.

Clock behavior differs notably. The Ryzen Z2 GPU boosts to 2700 MHz from an 800 MHz base, a 3.38x multiplier. The RTX 4090 Max-Q boosts to 1455 MHz from a 930 MHz base, a 1.56x multiplier. The AMD part relies on aggressive clock scaling to extract performance within its power budget, while the NVIDIA part runs closer to its maximum frequency continuously.

Architecture Differences

The two GPUs represent fundamentally different design philosophies. The AMD Ryzen Z2 GPU uses the RDNA 3.0 architecture on Hawk Point silicon, fabricated on a 4 nm TSMC process. The NVIDIA GeForce RTX 4090 Max-Q uses the Ada Lovelace architecture on the AD103 chip, fabricated on a 5 nm TSMC process. Both use TSMC as the foundry, but the AMD part employs a smaller process node.

Transistor counts diverge sharply. The RTX 4090 Max-Q contains 45,900 million transistors on a 379 mm² die, while the Ryzen Z2 GPU contains 25,390 million transistors on a 178 mm² die. The NVIDIA chip is 2.13x larger in die area and holds 1.81x more transistors. Transistor density favors AMD: 142.6 million transistors per mm² versus 121.1 million for NVIDIA, a consequence of the denser 4 nm process.

Execution resources differ by an order of magnitude in several categories. The RTX 4090 Max-Q has 9728 shading units, 304 texture mapping units, and 112 ROPs. The Ryzen Z2 GPU has 768 shading units, 48 TMUs, and 32 ROPs. The NVIDIA part carries 12.67x more shading units, 6.33x more TMUs, and 3.5x more ROPs.

Ray tracing and tensor hardware follow the same pattern. The RTX 4090 Max-Q includes 76 RT cores and 304 tensor cores. The Ryzen Z2 GPU includes 12 RT cores and no tensor cores. The absence of tensor cores on the AMD part removes dedicated hardware for AI acceleration, deep learning inference, and DLSS-style upscaling. The NVIDIA part's 304 tensor cores provide a significant hardware foundation for such workloads.

Memory technology also diverges. The Ryzen Z2 GPU uses 16 GB of LPDDR5X at 937 MHz with 7.5 Gbps effective speed. The RTX 4090 Max-Q uses 16 GB of GDDR6 at 2250 MHz with 18 Gbps effective speed. Both have the same capacity, but the GDDR6 implementation achieves 4.80x the bandwidth due to both higher effective speed and a 256-bit bus versus 128-bit.

Power delivery differs in implementation. The Ryzen Z2 GPU lists no power connectors and a 28 W TDP. The RTX 4090 Max-Q also lists no power connectors but has an 80 W TDP and is classified as an integrated graphics processor (IGP). The NVIDIA part uses a PCIe 4.0 x16 bus interface, while the AMD part lists no bus interface in the recorded data. Display output also differs: the AMD part provides one USB Type-C port, while the NVIDIA part is marked as portable device dependent.

Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The AMD part is classified as a Console GPU in its generation, while the NVIDIA part is a GeForce 40 Mobile product. The NVIDIA part has a recorded predecessor (GeForce 30 Mobile) and successor (GeForce 50 Mobile), while the AMD part lists neither. Release dates place the Ryzen Z2 GPU at the end of 2024 and the RTX 4090 Max-Q at the start of 2023.

Where Each One Wins

The recorded data supports clear use-case separation. The RTX 4090 Max-Q wins in every absolute performance category: FP32 compute, texture rate, pixel rate, memory bandwidth, shading units, TMUs, ROPs, RT cores, and tensor cores. Any workload that scales with these resources will favor the NVIDIA part. High-resolution gaming, ray-traced scenes, AI inference, and compute-heavy rendering all fall into this category.

The Ryzen Z2 GPU wins in power efficiency at the system level. Its 28 W TDP allows deployment in form factors where an 80 W part cannot operate. The AMD part also achieves higher transistor density (142.6M per mm² versus 121.1M) and a smaller die (178 mm² versus 379 mm²), which matters for cost-sensitive or space-constrained designs. Its higher boost clock of 2700 MHz versus 1455 MHz indicates a design tuned for burst performance within a tight power envelope.

For integrated or console-class systems where the GPU shares thermal and power budgets with other components, the Ryzen Z2 GPU's 28 W envelope is the defining advantage. For dedicated mobile graphics in a laptop chassis, the RTX 4090 Max-Q's 80 W budget buys 3.41x the FP32 throughput and 4.80x the memory bandwidth.

The absence of tensor cores on the AMD part is decisive for AI workloads. The RTX 4090 Max-Q's 304 tensor cores provide dedicated hardware that the Ryzen Z2 GPU entirely lacks. Similarly, the NVIDIA part's 76 RT cores versus 12 gives it a 6.33x advantage in ray tracing hardware resources.

The memory systems serve different purposes. The Ryzen Z2 GPU's LPDDR5X at 119.9 GB/s is typical of unified-memory or low-power designs where bandwidth is secondary to power draw. The RTX 4090 Max-Q's GDDR6 at 576.0 GB/s supports high-resolution textures and large working sets without stalling.

The Verdict

The data directs each GPU toward a distinct market segment. The NVIDIA GeForce RTX 4090 Max-Q is the higher-performance part in every measured specification category. It delivers 3.41x the FP32 compute, 4.80x the memory bandwidth, 6.33x the TMUs, 3.5x the ROPs, and 6.33x the RT cores. It also includes 304 tensor cores that the AMD part does not have. For any workload where absolute throughput matters, the RTX 4090 Max-Q is the clear choice.

The AMD Ryzen Z2 GPU is the lower-power alternative. Its 28 W TDP is 35% of the NVIDIA part's 80 W TDP. It achieves this with a smaller die (178 mm² versus 379 mm²), fewer transistors (25,390 million versus 45,900 million), and a denser 4 nm process node. It also boosts to a higher clock frequency (2700 MHz versus 1455 MHz), indicating a design that scales voltage and frequency aggressively when power allows.

Both GPUs share the same memory capacity of 16 GB, the same API support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and neither requires external power connectors. The RTX 4090 Max-Q uses PCIe 4.0 x16, while the AMD part has no recorded bus interface. The NVIDIA part has a defined product lineage (predecessor and successor), while the AMD part does not.

The recorded data contains no benchmark scores, so the verdict rests entirely on specifications. The RTX 4090 Max-Q targets high-performance mobile systems where 80 W is available and maximum throughput is required. The Ryzen Z2 GPU targets ultra-low-power consoles or handhelds where 28 W is the ceiling and efficiency is the priority. Users requiring AI acceleration should note that only the NVIDIA part has tensor cores. Users requiring the lowest power draw should select the AMD part.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA GeForce RTX 4090 Max-Q delivers 28.31 TFLOPS of FP32 compute, which is 3.41x the 8.294 TFLOPS of the AMD Ryzen Z2 GPU.

Q: Do both GPUs have the same memory capacity?

A: Yes, both have 16 GB of memory. The AMD part uses LPDDR5X with 119.9 GB/s bandwidth, while the NVIDIA part uses GDDR6 with 576.0 GB/s bandwidth.

Q: Which GPU has tensor cores?

A: Only the NVIDIA GeForce RTX 4090 Max-Q has tensor cores, with 304 of them. The AMD Ryzen Z2 GPU has no tensor cores.

Q: What is the power consumption difference?

A: The AMD Ryzen Z2 GPU has a 28 W TDP, while the NVIDIA GeForce RTX 4090 Max-Q has an 80 W TDP. The AMD part draws 35% of the power of the NVIDIA part.

Q: Which GPU has more ray tracing cores?

A: The NVIDIA GeForce RTX 4090 Max-Q has 76 RT cores, which is 6.33x the 12 RT cores of the AMD Ryzen Z2 GPU.

Q: Do both GPUs support the same APIs?

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