AMD Ryzen Z2 A GPU vs NVIDIA RTX 5000 Max-Q Ada Generation Comparison

Head-to-Head Benchmarks

The recorded database contains no direct head-to-head benchmark results between the AMD Ryzen Z2 A GPU and the NVIDIA RTX 5000 Max-Q Ada Generation. Both entries list zero benchmark scores, zero average benchmark scores, and zero wins in the head-to-head comparison table. The percentile versus all GPUs field shows both parts sitting at the 50th percentile, which indicates a midpoint placement in the overall distribution, though no measured performance data supports this positioning.

Without measured scores, the comparison must rely on the theoretical throughput numbers recorded in the specification sheets. The NVIDIA part delivers a raw FP32 throughput of 32.69 TFLOPS, while the AMD part delivers 1.638 TFLOPS. That places the NVIDIA GPU at roughly 20 times the FP32 throughput of the AMD GPU, a gap that would dominate any compute-bound workload. The texture rate tells a similar story: NVIDIA records 510.7 GTexel/s against AMD's 51.20 GTexel/s, a 10-fold difference. Pixel rate shows NVIDIA at 188.2 GPixel/s versus AMD's 25.60 GPixel/s, which is a 7.35-fold advantage.

The FP16 comparison is more nuanced due to different ratio implementations. The AMD GPU records 3.277 TFLOPS FP16 with a 2:1 ratio relative to FP32. The NVIDIA GPU records 32.69 TFLOPS FP16 with a 1:1 ratio, meaning it does not double throughput for half-precision work the way the AMD part does. Even so, the NVIDIA part still holds a 10-fold lead in FP16 throughput.

These are theoretical peak figures, not application benchmarks. The database shows no frame rate data, no synthetic test scores, and no workload-specific measurements for either product. Any statement about real-world performance remains unverified by the recorded data.

Architecture Differences

The two GPUs come from different architectural generations and target different segments. The AMD Ryzen Z2 A GPU uses the Van Gogh chip built on RDNA 2.0 architecture, fabricated on a 7 nm process at TSMC. The NVIDIA RTX 5000 Max-Q Ada Generation uses the AD103 chip built on Ada Lovelace architecture, fabricated on a 5 nm process at TSMC. Both share the same API support: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Transistor counts differ substantially. The AMD chip contains 2,400 million transistors on a 163 mm² die, giving a transistor density of 14.7 million per square millimeter. The NVIDIA chip contains 45,900 million transistors on a 379 mm² die, giving a transistor density of 121.1 million per square millimeter. The NVIDIA die is 2.32 times larger in area but carries 19.1 times more transistors, reflecting the denser 5 nm process and the larger compute array.

The AMD GPU belongs to the Console GPU (AMD) generation and was released on 2024-12-31. The NVIDIA GPU belongs to the Ada-MW generation within the GeForce 50-series and was released on 2023-03-20. The NVIDIA part lists a predecessor (Ampere-MW) and a successor (Blackwell-MW), while the AMD part lists neither. Both parts remain in active production status.

The shading unit counts show the scale difference: AMD has 512 shading units, 32 texture mapping units, and 16 raster output units. NVIDIA has 9,728 shading units, 304 TMUs, and 112 ROPs. The NVIDIA part includes 76 ray tracing cores and 304 tensor cores. The AMD part includes 8 ray tracing cores and no tensor cores. Ray tracing capability exists on both, but the implementation scales very differently.

Memory architecture also diverges. The AMD GPU uses 16 GB of LPDDR5 on a 128-bit bus, delivering 102.4 GB/s of bandwidth. The NVIDIA GPU uses 16 GB of GDDR6 on a 256-bit bus, delivering 576.0 GB/s of bandwidth. Both have 16 GB capacity, but the NVIDIA memory subsystem provides 5.6 times the bandwidth. The AMD memory clock runs at 800 MHz with 6.4 Gbps effective, while the NVIDIA memory clock runs at 2250 MHz with 18 Gbps effective.

Power targets differ by a factor of eight. The AMD part is rated at 15 W TDP, while the NVIDIA part is rated at 120 W TDP. The NVIDIA part lists a slot width of IGP, no power connectors, and a PCIe 4.0 x16 bus interface. The AMD part lists no slot width, no power connectors, no bus interface, and a single USB Type-C display output. The NVIDIA display outputs are listed as portable device dependent.

FAQ

Q: Which GPU has higher FP32 compute throughput?

A: The NVIDIA RTX 5000 Max-Q Ada Generation records 32.69 TFLOPS FP32, while the AMD Ryzen Z2 A GPU records 1.638 TFLOPS FP32. The NVIDIA part holds a 20-fold advantage in this metric.

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 support in the database.

Q: How much memory does each GPU have?

A: Both GPUs have 16 GB. The AMD part uses LPDDR5 on a 128-bit bus with 102.4 GB/s bandwidth. The NVIDIA part uses GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth.

Q: What process nodes are used for each chip?

A: The AMD Van Gogh chip uses a 7 nm TSMC process. The NVIDIA AD103 chip uses a 5 nm TSMC process.

Q: Which GPU has tensor cores?

A: Only the NVIDIA RTX 5000 Max-Q Ada Generation lists tensor cores, with 304 of them. The AMD Ryzen Z2 A GPU lists no tensor cores.

Q: What is the TDP difference between the two?

A: The AMD Ryzen Z2 A GPU is rated at 15 W TDP. The NVIDIA RTX 5000 Max-Q Ada Generation is rated at 120 W TDP, which is eight times higher.

Specification Differences

The following fields differ between the two entries:

• Chip: Van Gogh (AMD) versus AD103 (NVIDIA)
• Architecture: RDNA 2.0 (AMD) versus Ada Lovelace (NVIDIA)
• Generation: Console GPU (AMD) versus Ada-MW (NVIDIA)
• Process node: 7 nm (AMD) versus 5 nm (NVIDIA)
• Transistors: 2,400 million (AMD) versus 45,900 million (NVIDIA)
• Die size: 163 mm² (AMD) versus 379 mm² (NVIDIA)
• Transistor density: 14.7M / mm² (AMD) versus 121.1M / mm² (NVIDIA)
• Base clock: 1000 MHz (AMD) versus 930 MHz (NVIDIA)
• Boost clock: 1600 MHz (AMD) versus 1680 MHz (NVIDIA)
• Memory clock: 800 MHz, 6.4 Gbps effective (AMD) versus 2250 MHz, 18 Gbps effective (NVIDIA)
• Memory type: LPDDR5 (AMD) versus GDDR6 (NVIDIA)
• Memory bus width: 128 bit (AMD) versus 256 bit (NVIDIA)
• Memory bandwidth: 102.4 GB/s (AMD) versus 576.0 GB/s (NVIDIA)
• Shading units: 512 (AMD) versus 9,728 (NVIDIA)
• TMUs: 32 (AMD) versus 304 (NVIDIA)
• ROPs: 16 (AMD) versus 112 (NVIDIA)
• RT cores: 8 (AMD) versus 76 (NVIDIA)
• Tensor cores: not listed (AMD) versus 304 (NVIDIA)
• Pixel rate: 25.60 GPixel/s (AMD) versus 188.2 GPixel/s (NVIDIA)
• Texture rate: 51.20 GTexel/s (AMD) versus 510.7 GTexel/s (NVIDIA)
• FP32: 1.638 TFLOPS (AMD) versus 32.69 TFLOPS (NVIDIA)
• FP16: 3.277 TFLOPS, 2:1 ratio (AMD) versus 32.69 TFLOPS, 1:1 ratio (NVIDIA)
• TDP: 15 W (AMD) versus 120 W (NVIDIA)
• Slot width: not listed (AMD) versus IGP (NVIDIA)
• Power connectors: not listed (AMD) versus None (NVIDIA)
• Bus interface: not listed (AMD) versus PCIe 4.0 x16 (NVIDIA)
• Display outputs: 1x USB Type-C (AMD) versus Portable Device Dependent (NVIDIA)
• Release date: 2024-12-31 (AMD) versus 2023-03-20 (NVIDIA)
• Predecessor: not listed (AMD) versus Ampere-MW (NVIDIA)
• Successor: not listed (AMD) versus Blackwell-MW (NVIDIA)

Fields that are identical include memory size (16 GB), DirectX version, OpenGL version, Vulkan version, production status (Active), and the absence of a launch MSRP. The average benchmark score is 0 for both, and the percentile versus all GPUs is 50 for both.

The Verdict

The recorded data separates these two GPUs into entirely different performance classes. The NVIDIA RTX 5000 Max-Q Ada Generation carries roughly 20 times the FP32 throughput, 10 times the texture rate, 7.35 times the pixel rate, and 5.6 times the memory bandwidth of the AMD Ryzen Z2 A GPU. It also has 19 times the transistor count, 19 times the shading units, 9.5 times the RT cores, and 304 tensor cores where the AMD part has none. The NVIDIA TDP of 120 W is eight times the AMD TDP of 15 W, which explains the scale of the performance advantage.

The AMD Ryzen Z2 A GPU is the lower-power part by a wide margin. Its 15 W TDP, single USB Type-C display output, and RDNA 2.0 architecture suggest a design focused on minimal power draw and compact integration. The NVIDIA part, with its IGP slot width, no power connectors, and portable device dependent display outputs, also targets integrated mobile systems, but at a much higher power envelope.

No benchmark scores exist in the database for either GPU, so the verdict rests entirely on specification-level analysis. The data indicates that any workload sensitive to raw throughput, memory bandwidth, or ray tracing capability would favor the NVIDIA part. Any workload constrained by power draw would favor the AMD part, as its 15 W TDP represents a fraction of the NVIDIA power requirement.

Where Each One Wins

AMD Ryzen Z2 A GPU: The recorded specifications favor this part only in power efficiency. Its 15 W TDP is eight times lower than the NVIDIA 120 W TDP. It also has a higher base clock (1000 MHz versus 930 MHz), though the boost clock is lower (1600 MHz versus 1680 MHz). The AMD part uses LPDDR5 memory, which typically draws less power than GDDR6, and its 2:1 FP16 ratio indicates half-precision work runs at double the FP32 rate on this architecture. The single USB Type-C display output suggests a minimal connector footprint. For systems where power draw is the binding constraint, the AMD part holds the advantage.

NVIDIA RTX 5000 Max-Q Ada Generation: The recorded specifications favor this part in every raw performance category. FP32 throughput is 32.69 TFLOPS versus 1.638 TFLOPS. FP16 throughput is 32.69 TFLOPS versus 3.277 TFLOPS. Texture rate is 510.7 GTexel/s versus 51.20 GTexel/s. Pixel rate is 188.2 GPixel/s versus 25.60 GPixel/s. Memory bandwidth is 576.0 GB/s versus 102.4 GB/s. The NVIDIA part has 76 RT cores versus 8, and 304 tensor cores versus none. The 304 TMUs and 112 ROPs dwarf the AMD counts of 32 and 16. The PCIe 4.0 x16 interface provides a wider host connection than the unspecified AMD bus interface. The 5 nm process and 121.1M / mm² transistor density indicate a more advanced manufacturing node. For any compute, graphics, ray tracing, or tensor workload, the NVIDIA part wins on paper.

The database shows no measured results, so these win categories derive exclusively from the specification sheets. The theoretical gaps are large enough that a benchmark test would need to show extraordinary efficiency differences to change the overall ordering.