AMD Ryzen Z2 A GPU vs NVIDIA GeForce RTX 4070 Max-Q Comparison

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark entries for the AMD Ryzen Z2 A GPU versus the NVIDIA GeForce RTX 4070 Max-Q. Both products have an empty benchmark array, a recorded average benchmark score of zero, and a percentile rank of 50 among all GPUs. Consequently, there are no measured performance deltas, no win counts for either side, and no nearest rival comparisons to draw upon.

What the recorded data does show is the raw compute potential each part carries. The NVIDIA GeForce RTX 4070 Max-Q delivers 11.34 TFLOPS of FP32 throughput, while the AMD Ryzen Z2 A GPU delivers 1.638 TFLOPS. That is a 6.9x difference in raw single-precision floating point performance, a figure derived directly from the specification fields. In FP16 workloads, the NVIDIA part maintains 11.34 TFLOPS at a 1:1 ratio, whereas the AMD part reaches 3.277 TFLOPS at a 2:1 ratio, meaning the NVIDIA GPU holds a 3.5x advantage in half-precision compute.

Texture and pixel throughput tell a similar story. The RTX 4070 Max-Q records a texture rate of 177.1 GTexel/s against 51.20 GTexel/s for the Ryzen Z2 A GPU, a 3.5x gap. Pixel fill rates are 59.04 GPixel/s versus 25.60 GPixel/s, a 2.3x difference. Memory bandwidth favors the NVIDIA part as well: 256.0 GB/s compared to 102.4 GB/s, exactly 2.5x higher. These are the only comparative deltas the database currently supports, and they all point in one direction, though the absence of executed benchmark scores means this remains a specification-level analysis rather than a measured performance verdict.

Architecture Differences

The two GPUs come from different architectural generations entirely. The AMD Ryzen Z2 A GPU is built on the Van Gogh chip using RDNA 2.0, placed in the Console GPU (AMD) generation. It uses a 7 nm process at TSMC and integrates 2,400 million transistors on a 163 mm² die, for a transistor density of 14.7 million transistors per square millimeter. The NVIDIA GeForce RTX 4070 Max-Q uses the AD106 chip with the Ada Lovelace architecture, classified under GeForce 40 Mobile. It is fabricated on a 5 nm process, also at TSMC, with 22,900 million transistors across a 188 mm² die, yielding a transistor density of 121.8 million transistors per square millimeter. The NVIDIA die is only 15% larger in area but packs 9.5x more transistors, reflecting the denser 5 nm process.

Core organization differs substantially. The AMD part has 512 shading units, 32 texture mapping units, 16 render output units, and 8 ray tracing cores. It has no tensor core field recorded. The NVIDIA part has 4,608 shading units, 144 TMUs, 48 ROPs, 36 RT cores, and 144 tensor cores. Shader count is 9x higher on the NVIDIA side, RT core count is 4.5x higher, and the tensor core presence is exclusive to the NVIDIA GPU.

Memory subsystems diverge in type and capacity. The AMD Ryzen Z2 A GPU uses 16 GB of LPDDR5 on a 128 bit bus, with memory clocked at 800 MHz and 6.4 Gbps effective, producing 102.4 GB/s of bandwidth. The RTX 4070 Max-Q uses 8 GB of GDDR6 on a 128 bit bus, with memory at 2000 MHz and 16 Gbps effective, delivering 256.0 GB/s. The AMD part has double the capacity but one quarter of the effective memory clock speed per pin, resulting in less than half the bandwidth.

Power and physical integration also differ. The AMD GPU has a TDP of 15 W and a single USB Type-C display output. The NVIDIA GPU has a TDP of 35 W, is listed as an IGP slot width with no power connectors, uses a PCIe 4.0 x8 bus interface, and has display outputs marked as portable device dependent. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so the API feature set is identical on paper.

Clock behavior is notable. The AMD part runs at a 1000 MHz base clock and 1600 MHz boost. The NVIDIA part runs at a 735 MHz base clock and 1230 MHz boost. Despite lower clocks, the NVIDIA GPU achieves far higher throughput because of its massive shader count and higher memory bandwidth. The release dates differ by roughly two years: the RTX 4070 Max-Q was released at the start of 2023, while the Ryzen Z2 A GPU was released at the end of 2024.

FAQ

Q: Which GPU has the higher FP32 compute throughput?

A: The NVIDIA GeForce RTX 4070 Max-Q records 11.34 TFLOPS of FP32 performance, compared to 1.638 TFLOPS for the AMD Ryzen Z2 A GPU, a 6.9x advantage.

Q: How do the memory configurations compare?

A: The AMD part uses 16 GB of LPDDR5 on a 128 bit bus with 102.4 GB/s bandwidth. The NVIDIA part uses 8 GB of GDDR6 on a 128 bit bus with 256.0 GB/s bandwidth. The NVIDIA GPU has 2.5x the bandwidth but half the capacity.

Q: Do both GPUs support the same graphics APIs?

A: Yes, both list DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 in their recorded API support.

Q: What is the transistor count difference?

A: The AMD Ryzen Z2 A GPU integrates 2,400 million transistors, while the NVIDIA GeForce RTX 4070 Max-Q integrates 22,900 million, a 9.5x difference.

Q: Which GPU has ray tracing cores?

A: Both have RT cores recorded. The AMD part has 8, and the NVIDIA part has 36.

Q: What are the TDP values?

A: The AMD Ryzen Z2 A GPU is rated at 15 W, and the NVIDIA GeForce RTX 4070 Max-Q is rated at 35 W.

Specification Differences

The following fields differ between the two GPUs in the database:

• Chip: Van Gogh (AMD) versus AD106 (NVIDIA)
• Architecture: RDNA 2.0 versus Ada Lovelace
• Generation: Console GPU (AMD) versus GeForce 40 Mobile
• Process node: 7 nm versus 5 nm
• Transistors: 2,400 million versus 22,900 million
• Die size: 163 mm² versus 188 mm²
• Transistor density: 14.7M / mm² versus 121.8M / mm²
• Base clock: 1000 MHz versus 735 MHz
• Boost clock: 1600 MHz versus 1230 MHz
• Memory clock: 800 MHz (6.4 Gbps effective) versus 2000 MHz (16 Gbps effective)
• Memory size: 16 GB versus 8 GB
• Memory type: LPDDR5 versus GDDR6
• Memory bandwidth: 102.4 GB/s versus 256.0 GB/s
• Shading units: 512 versus 4,608
• TMUs: 32 versus 144
• ROPs: 16 versus 48
• RT cores: 8 versus 36
• Tensor cores: not recorded versus 144
• Pixel rate: 25.60 GPixel/s versus 59.04 GPixel/s
• Texture rate: 51.20 GTexel/s versus 177.1 GTexel/s
• FP32: 1.638 TFLOPS versus 11.34 TFLOPS
• FP16: 3.277 TFLOPS (2:1) versus 11.34 TFLOPS (1:1)
• TDP: 15 W versus 35 W
• Slot width: not recorded versus IGP
• Power connectors: not recorded versus None
• Bus interface: not recorded versus PCIe 4.0 x8
• Display outputs: 1x USB Type-C versus portable device dependent
• Release date: 2024-12-31 versus 2023-01-02
• Predecessor: not recorded versus GeForce 30 Mobile
• Successor: not recorded versus GeForce 50 Mobile

Fields that match include the 128 bit memory bus width, the TSMC foundry, DirectX 12 Ultimate (12_2) support, OpenGL 4.6, Vulkan 1.4, and production status of Active.

The Verdict

The recorded data supports a clear split by workload class. The NVIDIA GeForce RTX 4070 Max-Q is the stronger part in every measured throughput category: FP32, FP16, texture rate, pixel rate, and memory bandwidth. Its 36 RT cores and 144 tensor cores add capabilities the AMD part does not record at all. The AMD Ryzen Z2 A GPU counters with a 15 W TDP against 35 W, a lower clock profile, and double the memory capacity at 16 GB, though with less than half the bandwidth.

The 6.9x FP32 gap and the 9x shading unit advantage make the NVIDIA GPU the choice for compute-heavy rendering and high-resolution workload scenarios. The AMD GPU's 16 GB frame buffer could matter for capacity-bound tasks, but the 102.4 GB/s bandwidth limits how quickly that memory can be fed. No measured benchmark scores exist in the database, so these conclusions rest entirely on specification comparison.

Where Each One Wins

The NVIDIA GeForce RTX 4070 Max-Q wins in raw compute throughput, ray tracing hardware count, tensor core availability, texture filtering, pixel fill, and memory bandwidth. Its 11.34 TFLOPS FP32 rate, 177.1 GTexel/s texture rate, 59.04 GPixel/s pixel rate, and 256.0 GB/s bandwidth position it as the performance leader across all recorded rendering metrics. The 144 tensor cores and 36 RT cores provide dedicated hardware for accelerated workloads that the AMD part cannot match, since no tensor core count is recorded for it.

The AMD Ryzen Z2 A GPU wins in power efficiency and memory capacity. At 15 W TDP, it draws less than half the power of the 35 W NVIDIA part. Its 16 GB of LPDDR5 doubles the 8 GB GDDR6 capacity of the NVIDIA GPU, which may matter in scenarios where frame buffer size is the limiting factor rather than bandwidth. It also runs at higher base and boost clocks, 1000 MHz and 1600 MHz respectively, although this does not compensate for the much smaller shader array. The single USB Type-C display output suggests a portable integration target, while the NVIDIA part's portable device dependent outputs indicate a different form factor class entirely.