AMD Ryzen Z2 GPU vs NVIDIA RTX 4000 Mobile Ada Generation Comparison

FAQ

Q: What are the core specifications of the AMD Ryzen Z2 GPU and the NVIDIA RTX 4000 Mobile Ada Generation?

A: The AMD Ryzen Z2 GPU uses the Hawk Point chip with RDNA 3.0 architecture on a 4 nm TSMC process, featuring 768 shading units, 48 TMUs, 32 ROPs, and 12 RT cores. The NVIDIA RTX 4000 Mobile Ada Generation uses the AD104 chip with Ada Lovelace architecture on a 5 nm TSMC process, featuring 7,424 shading units, 232 TMUs, 80 ROPs, and 58 RT cores.

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

A: The AMD Ryzen Z2 GPU comes with 16 GB of LPDDR5X memory on a 128-bit bus, delivering 119.9 GB/s of bandwidth. The NVIDIA RTX 4000 Mobile Ada Generation comes with 12 GB of GDDR6 memory on a 192-bit bus, delivering 432.0 GB/s of bandwidth.

Q: What are the power requirements for each GPU?

A: The AMD Ryzen Z2 GPU has a TDP of 28 W and uses no power connectors. The NVIDIA RTX 4000 Mobile Ada Generation has a TDP of 110 W and also uses no power connectors, though it is designated as an IGP.

Q: Which GPU has the higher clock speeds?

A: The AMD Ryzen Z2 GPU has a base clock of 800 MHz and a boost clock of 2,700 MHz. The NVIDIA RTX 4000 Mobile Ada Generation has a base clock of 1,290 MHz and a boost clock of 1,665 MHz.

Q: What API support do both GPUs offer?

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

Q: What are the production statuses and release timelines?

A: The AMD Ryzen Z2 GPU is Active, released on 2024-12-31. The NVIDIA RTX 4000 Mobile Ada Generation is Active, released on 2023-03-20, with its predecessor being Ampere-MW and successor being Blackwell-MW.

The Verdict

The database shows two distinctly positioned mobile GPU solutions. The AMD Ryzen Z2 GPU is a low-power, console-oriented part with a 28 W TDP, designed for compact, power-efficient systems. The NVIDIA RTX 4000 Mobile Ada Generation is a high-performance workstation mobile GPU with a 110 W TDP, built for demanding professional workloads.

For users prioritizing raw compute throughput, the NVIDIA part is the clear choice. Its FP32 performance of 24.72 TFLOPS is approximately three times the 8.294 TFLOPS of the AMD part. The NVIDIA GPU also delivers substantially higher memory bandwidth at 432.0 GB/s versus 119.9 GB/s, which directly benefits bandwidth-sensitive tasks like rendering and data processing.

For users prioritizing energy efficiency and portability, the AMD Ryzen Z2 GPU fits a different niche. Its 28 W TDP is a fraction of the NVIDIA part's 110 W TDP, and its 16 GB memory capacity exceeds the NVIDIA part's 12 GB. The AMD part also has a significantly higher boost clock at 2,700 MHz versus 1,665 MHz, though the NVIDIA part compensates with far more shading units and TMUs.

The recorded data indicates that the NVIDIA RTX 4000 Mobile Ada Generation is the superior performer in nearly every measurable dimension except memory capacity, power consumption, and clock speed. Both GPUs occupy the 50th percentile in the database's all-GPU ranking, but this equal percentile does not reflect the substantial architectural and performance differences between them.

Head-to-Head Benchmarks

The benchmark results, while not providing direct comparative scores, reveal clear advantages for each GPU based on their raw specifications.

The NVIDIA RTX 4000 Mobile Ada Generation dominates in compute throughput. Its FP32 performance of 24.72 TFLOPS stands at roughly 198% higher than the AMD Ryzen Z2 GPU's 8.294 TFLOPS. This translates directly to faster execution of shader-heavy workloads, physics simulations, and general-purpose GPU compute tasks.

Texture and pixel processing further favor the NVIDIA part. The RTX 4000 Mobile Ada Generation delivers 386.3 GTexel/s and 133.2 GPixel/s, compared to 129.6 GTexel/s and 86.40 GPixel/s for the AMD part. The NVIDIA GPU's texture rate is nearly triple that of the AMD GPU, indicating a major advantage in fill-rate-bound scenarios.

Memory bandwidth is another decisive factor. The NVIDIA part's 432.0 GB/s bandwidth is over 3.6 times the AMD part's 119.9 GB/s. This differential matters most in large texture streaming, ray tracing acceleration structures, and multi-sample anti-aliasing, where the NVIDIA GPU can move data to and from memory much faster.

The AMD Ryzen Z2 GPU wins on clock speed, with a boost clock of 2,700 MHz versus the NVIDIA part's 1,665 MHz. This higher clock rate partially offsets its smaller execution resource pool, but the sheer scale of the NVIDIA GPU's 7,424 shading units versus 768 shading units makes the clock advantage insufficient to close the performance gap.

In ray tracing, the NVIDIA part has 58 RT cores versus 12 RT cores for the AMD part. The NVIDIA GPU also includes 232 tensor cores, which the AMD part lacks entirely. These features position the NVIDIA GPU as the stronger choice for ray-traced rendering and AI-accelerated workloads.

Specification Differences

The two GPUs differ across nearly every major specification category.

Process and Die: The AMD Ryzen Z2 GPU is fabricated on a 4 nm TSMC process, while the NVIDIA RTX 4000 Mobile Ada Generation uses a 5 nm TSMC process. The AMD chip contains 25,390 million transistors on a 178 mm² die, yielding a density of 142.6M transistors per mm². The NVIDIA chip contains 35,800 million transistors on a 294 mm² die, yielding a density of 121.8M transistors per mm².

Memory: The AMD part features 16 GB of LPDDR5X on a 128-bit bus with 119.9 GB/s bandwidth. The NVIDIA part features 12 GB of GDDR6 on a 192-bit bus with 432.0 GB/s bandwidth. The AMD part uses a memory clock of 937 MHz (7.5 Gbps effective), while the NVIDIA part uses 2,250 MHz (18 Gbps effective).

Compute Resources: The AMD part has 768 shading units, 48 TMUs, and 32 ROPs. The NVIDIA part has 7,424 shading units, 232 TMUs, and 80 ROPs. The NVIDIA part also has 58 RT cores and 232 tensor cores, while the AMD part has 12 RT cores and no tensor cores.

Clocks: The AMD part runs at 800 MHz base and 2,700 MHz boost. The NVIDIA part runs at 1,290 MHz base and 1,665 MHz boost.

Outputs: The AMD part provides a single USB Type-C display output. The NVIDIA part's display outputs are portable device dependent.

Bus Interface: The AMD part has no listed bus interface, while the NVIDIA part uses PCIe 4.0 x16.

Power: The AMD part has a 28 W TDP. The NVIDIA part has a 110 W TDP. Both use no power connectors.

Architecture Differences

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

The AMD Ryzen Z2 GPU uses the RDNA 3.0 architecture on the Hawk Point chip. This architecture is designed for console and handheld gaming applications, prioritizing efficiency within a low power envelope. Its 4 nm process node from TSMC allows for a high transistor density of 142.6M per mm², which helps achieve competitive performance at just 28 W.

The NVIDIA RTX 4000 Mobile Ada Generation uses the Ada Lovelace architecture on the AD104 chip. This architecture is built for professional mobile workstations, with a focus on maximum compute throughput and feature completeness. Its 5 nm process node from TSMC yields a lower transistor density of 121.8M per mm², but the chip is physically larger at 294 mm², accommodating far more execution units.

The compute resource disparity is the defining architectural difference. The NVIDIA GPU's 7,424 shading units are nearly ten times the AMD GPU's 768 shading units. Similarly, the NVIDIA GPU's 232 TMUs and 80 ROPs dwarf the AMD GPU's 48 TMUs and 32 ROPs. These differences directly explain the NVIDIA part's FP32 performance of 24.72 TFLOPS versus 8.294 TFLOPS for the AMD part.

Ray tracing hardware differs significantly. The NVIDIA GPU includes 58 RT cores, while the AMD GPU includes just 12. The NVIDIA GPU also includes 232 tensor cores, which are absent from the AMD GPU. Tensor cores enable AI-based features and accelerated deep learning inference, giving the NVIDIA part a functional advantage in professional AI workloads.

Memory architecture also diverges. The AMD part uses LPDDR5X, a low-power memory type suited to its 28 W TDP. The NVIDIA part uses GDDR6, a higher-bandwidth memory type that requires more power but delivers 432.0 GB/s. The NVIDIA part's 192-bit bus width versus 128-bit for the AMD part further widens the bandwidth gap.

Where Each One Wins

The AMD Ryzen Z2 GPU wins in scenarios where power efficiency and memory capacity take priority over raw compute throughput.

Portable gaming systems: With a 28 W TDP, the AMD part fits into handheld and ultra-compact devices that cannot accommodate the 110 W thermal footprint of the NVIDIA part. Its 16 GB memory capacity exceeds the NVIDIA part's 12 GB, which helps with texture-heavy games at lower resolutions.

Efficiency-focused workloads: The AMD part's 4 nm process and lower transistor count of 25,390 million draw far less power than the NVIDIA part's 35,800 million transistors. For sustained mobile use where battery life matters, the AMD part's lower power draw is a decisive advantage.

Clock-sensitive tasks: The AMD part's boost clock of 2,700 MHz is substantially higher than the NVIDIA part's 1,665 MHz. Workloads that respond well to higher clock speeds, such as certain legacy or lightly threaded rendering tasks, may see a relative benefit from the AMD part.

The NVIDIA RTX 4000 Mobile Ada Generation wins in scenarios demanding maximum performance and feature completeness.

Professional 3D rendering: The NVIDIA part's FP32 performance of 24.72 TFLOPS delivers nearly three times the compute throughput of the AMD part. This directly accelerates viewport performance, final-frame rendering, and simulation tasks.

Ray-traced workloads: With 58 RT cores versus 12, the NVIDIA part handles ray tracing with dramatically higher efficiency. The NVIDIA part's 432.0 GB/s memory bandwidth also supports the large acceleration structures required for ray-traced scenes.

AI and machine learning: The NVIDIA part's 232 tensor cores enable accelerated inference and training, which the AMD part cannot match. This makes the NVIDIA GPU the practical choice for AI-assisted content creation tools.

High-resolution texture streaming: The NVIDIA part's 432.0 GB/s bandwidth, over 3.6 times the AMD part's 119.9 GB/s, allows faster loading and streaming of large texture sets. This advantage is most pronounced at high resolutions and with high-detail texture packs.

Texture-heavy workloads: The NVIDIA part's 386.3 GTexel/s texture rate is nearly triple the AMD part's 129.6 GTexel/s, making it the stronger option for tasks that stress texture sampling and filtering.

The data clearly shows that these GPUs serve different primary markets. The AMD Ryzen Z2 GPU is optimized for low-power, portable gaming devices. The NVIDIA RTX 4000 Mobile Ada Generation is optimized for high-performance professional workstations. Each wins where its design priorities align with workload requirements.