AMD Ryzen Z2 Go GPU vs NVIDIA RTX 5000 Embedded Ada Generation Comparison

The Verdict

The AMD Ryzen Z2 Go GPU and the NVIDIA RTX 5000 Embedded Ada Generation occupy completely different tiers of mobile graphics, and the recorded specifications make the separation unambiguous. The NVIDIA part is the overwhelming performance leader, with 32.69 TFLOPS FP32 compute versus 4.147 TFLOPS for the AMD chip, a 7.9x gap in raw shader throughput. The RTX 5000 also has 9728 shading units against 768, 304 texture mapping units against 48, and 112 ROPs against 32. In every measurable compute and memory capacity category where the two can be compared, NVIDIA holds the advantage, often by an order of magnitude.

The AMD Ryzen Z2 Go GPU is a low-power, compact design with a 28 W TDP and no power connectors, built for devices where thermal and electrical budgets are extremely constrained. Its 16 GB of LPDDR5 memory on a 128 bit bus delivers 102.4 GB/s of bandwidth, while the RTX 5000 Embedded Ada uses 16 GB of GDDR6 on a 256 bit bus for 576.0 GB/s, a 5.6x bandwidth advantage. The NVIDIA solution draws 120 W and is listed as an IGP, but it is a different class of embedded processor entirely.

Given the data, the RTX 5000 Embedded Ada is the correct selection for any workload requiring high FP32 throughput, substantial texture and pixel rates, or hardware ray tracing and tensor acceleration at scale. The AMD Ryzen Z2 Go GPU is the correct selection only for ultra-low-power embedded systems that need 16 GB of memory, RDNA 2.0 feature support, and a minimal physical footprint with no external power delivery. The two are not direct competitors, and no benchmark result in the database contradicts this hierarchy.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA RTX 5000 Embedded Ada Generation delivers 32.69 TFLOPS FP32, while the AMD Ryzen Z2 Go GPU delivers 4.147 TFLOPS. NVIDIA is approximately 7.9x faster in this metric.

Q: Do both GPUs have the same amount of memory?

A: Yes, both have 16 GB, but the types and bandwidths differ. The AMD part uses LPDDR5 with 102.4 GB/s bandwidth on a 128 bit bus; the NVIDIA part uses GDDR6 with 576.0 GB/s on a 256 bit bus.

Q: What are the power requirements for each GPU?

A: The AMD Ryzen Z2 Go GPU has a TDP of 28 W and no power connectors. The NVIDIA RTX 5000 Embedded Ada Generation has a TDP of 120 W and also has no power connectors listed.

Q: Which GPU has more ray tracing cores?

A: The NVIDIA RTX 5000 Embedded Ada Generation has 76 RT cores. The AMD Ryzen Z2 Go GPU has 12 RT cores.

Q: Do the two GPUs support the same DirectX version?

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

Q: What is the transistor count for each chip?

A: The AMD Ryzen Z2 Go GPU uses 13,100 million transistors on a 208 mm² die. The NVIDIA RTX 5000 Embedded Ada Generation uses 45,900 million transistors on a 379 mm² die.

Architecture Differences

The AMD Ryzen Z2 Go GPU is based on the Rembrandt+ chip using RDNA 2.0 architecture, fabricated on a 6 nm TSMC process. The chip contains 13,100 million transistors across a 208 mm² die, yielding a transistor density of 63.0M per mm². This is a console-oriented GPU generation design from AMD, with 768 shading units, 48 TMUs, 32 ROPs, and 12 RT cores. The architecture supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The NVIDIA RTX 5000 Embedded Ada Generation is built on the AD103 chip with Ada Lovelace architecture, fabricated on a 5 nm TSMC process. It integrates 45,900 million transistors on a 379 mm² die, for a transistor density of 121.1M per mm², roughly double the density of the AMD chip. The NVIDIA part has 9728 shading units, 304 TMUs, 112 ROPs, 76 RT cores, and 304 tensor cores. It belongs to the Ada-MW generation and is the successor to the Ampere-MW line, with the Blackwell-MW as its successor.

Both GPUs share identical API support for DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so software compatibility at the API level is not a differentiator. The architectural gap is in execution resources: NVIDIA has 12.7x more shading units, 6.3x more TMUs, 3.5x more ROPs, and 6.3x more RT cores. NVIDIA also includes 304 tensor cores, while the AMD part has no tensor core count listed. The FP16 capability also differs: AMD reaches 8.294 TFLOPS FP16 via a 2:1 ratio relative to FP32, while NVIDIA reaches 32.69 TFLOPS FP16 at a 1:1 ratio, meaning NVIDIA's FP16 is identical to its FP32 throughput.

The process node difference (5 nm versus 6 nm) and transistor density difference (121.1M versus 63.0M per mm²) explain how NVIDIA packs over three times the transistors into less than double the die area. The AMD design is simpler and lower-powered, while the NVIDIA design dedicates silicon to tensor and RT workloads.

Specification Differences

The two GPUs differ across nearly every specification field in the database.

Clock speeds: AMD runs at a base of 800 MHz and boost of 2700 MHz; NVIDIA runs at a base of 930 MHz and boost of 1680 MHz. AMD has the higher boost clock by 1020 MHz, but NVIDIA's massive shader count overwhelms that frequency advantage. Memory clocks are 800 MHz (6.4 Gbps effective) for AMD versus 2250 MHz (18 Gbps effective) for NVIDIA.

Memory subsystem: AMD uses 16 GB LPDDR5 on a 128 bit bus with 102.4 GB/s bandwidth. NVIDIA uses 16 GB GDDR6 on a 256 bit bus with 576.0 GB/s bandwidth. NVIDIA has double the bus width and 5.6x the bandwidth.

Compute resources: AMD has 768 shading units, 48 TMUs, 32 ROPs, and 12 RT cores. NVIDIA has 9728 shading units, 304 TMUs, 112 ROPs, and 76 RT cores. NVIDIA also has 304 tensor cores; AMD lists none.

Rates: AMD achieves 86.40 GPixel/s pixel rate and 129.6 GTexel/s texture rate. NVIDIA achieves 188.2 GPixel/s and 510.7 GTexel/s. NVIDIA has 2.2x the pixel rate and 3.9x the texture rate.

FP32 and FP16: AMD delivers 4.147 TFLOPS FP32 and 8.294 TFLOPS FP16 (2:1). NVIDIA delivers 32.69 TFLOPS FP32 and 32.69 TFLOPS FP16 (1:1).

Power and physical: AMD has a TDP of 28 W; NVIDIA has a TDP of 120 W. Both have no power connectors. NVIDIA is listed as an IGP with a PCIe 4.0 x16 bus interface; AMD has no bus interface listed. AMD has one display output, a USB Type-C port; NVIDIA's display outputs are portable device dependent.

Process and die: AMD is 6 nm with 13,100 million transistors on 208 mm². NVIDIA is 5 nm with 45,900 million transistors on 379 mm².

Release dates: AMD was released on 2024-12-31; NVIDIA was released on 2023-03-20. Both are listed as Active production status.

Head-to-Head Benchmarks

The database contains no recorded head-to-head benchmark entries for this pairing, and both parts show an average benchmark score of 0 with a percentile rank of 50 against all GPUs. The lack of direct benchmark runs means the comparison must rely on specification-derived rates, which are recorded in the database.

The largest wins for the NVIDIA RTX 5000 Embedded Ada Generation are in compute throughput. Its FP32 of 32.69 TFLOPS is 7.9x the AMD's 4.147 TFLOPS. FP16 shows an even wider structural gap: NVIDIA's 32.69 TFLOPS at 1:1 is 3.9x AMD's 8.294 TFLOPS at 2:1, and the ratio difference means NVIDIA does not halve throughput when switching precision.

In texture and pixel processing, NVIDIA delivers 510.7 GTexel/s versus AMD's 129.6 GTexel/s, a 3.9x advantage. Pixel rate is 188.2 GPixel/s versus 86.40 GPixel/s, a 2.2x advantage. These rates are direct consequences of the TMU and ROP counts, not clocks.

Memory bandwidth is another decisive NVIDIA win: 576.0 GB/s versus 102.4 GB/s, a 5.6x advantage. This difference matters for high-resolution textures and data-heavy workloads. The bus width difference of 256 bit versus 128 bit is the structural cause.

The AMD Ryzen Z2 Go GPU wins in two recorded areas: boost clock and power draw. AMD's boost clock of 2700 MHz exceeds NVIDIA's 1680 MHz by 1020 MHz. AMD's TDP of 28 W is 92 W lower than NVIDIA's 120 W. AMD also has a smaller die at 208 mm² versus 379 mm², and fewer transistors at 13,100 million versus 45,900 million, which aligns with its lower power envelope.

Where Each One Wins

The NVIDIA RTX 5000 Embedded Ada Generation wins in every performance category that the database records. Compute-intensive workloads, FP32 and FP16 math, texture sampling, pixel fill, ray tracing, and memory bandwidth all favor the NVIDIA part by wide margins. The 304 tensor cores provide dedicated hardware for tensor operations, which the AMD part lacks entirely. The 76 RT cores versus 12 give NVIDIA a 6.3x advantage in hardware ray tracing resources. The PCIe 4.0 x16 interface also gives NVIDIA a standard high-bandwidth host connection, whereas the AMD part lists no bus interface.

The AMD Ryzen Z2 Go GPU wins in efficiency-oriented categories. Its 28 W TDP is less than a quarter of NVIDIA's 120 W, making it suitable for fanless or passively cooled embedded designs. Its 2700 MHz boost clock is higher, though this does not translate into higher throughput given the shader count disparity. The single USB Type-C display output simplifies cabling in minimal devices. The 6 nm process and smaller 208 mm² die keep the physical footprint modest, and the lack of power connectors means the board designer needs no external power delivery circuitry.

For ray tracing workloads, the NVIDIA part is the clear choice: 76 RT cores versus 12. For tensor and AI-adjacent workloads, NVIDIA's 304 tensor cores are the only option, as AMD lists none. For pure FP32 compute, NVIDIA's 32.69 TFLOPS dwarfs AMD's 4.147 TFLOPS. For memory-heavy tasks, NVIDIA's 576.0 GB/s bandwidth is 5.6x AMD's 102.4 GB/s.

The AMD part is viable only where the 28 W power budget is non-negotiable and where the workload fits within 4.147 TFLOPS FP32, 129.6 GTexel/s, and 102.4 GB/s. The RTX 5000 Embedded Ada Generation is the pick for any workload that can tolerate 120 W and needs maximum throughput, with the caveat that its display outputs depend on the portable device design, while AMD offers a fixed USB Type-C output.