AMD Instinct MI350X vs AMD Ryzen Z2 Go GPU Comparison

Head-to-Head Benchmarks

The recorded data shows no head-to-head benchmark results for this pairing. Both the AMD Instinct MI350X and the AMD Ryzen Z2 Go GPU return empty benchmark arrays, zero average benchmark scores, and no nearest rival comparisons. The absence of measured performance data means direct numerical comparisons are not possible from the database. What can be examined are the architectural specifications and derived throughput figures, which indicate fundamentally different design goals.

The Instinct MI350X delivers 72.09 TFLOPS of FP32 compute and 72.09 TFLOPS of FP16 compute at a 1:1 ratio. The Ryzen Z2 Go GPU delivers 4.147 TFLOPS of FP32 and 8.294 TFLOPS of FP16 at a 2:1 ratio. The FP32 gap is roughly 17.4 times in favor of the Instinct MI350X. The FP16 comparison is more nuanced: the MI350X sustains full-rate FP16, while the Z2 Go halves its FP16 throughput relative to FP32. Even so, the MI350X still leads by a factor of about 8.7 in FP16.

Texture rate follows a similar pattern. The MI350X reaches 2,252.8 GTexel/s from its 1024 TMUs. The Z2 Go reaches 129.6 GTexel/s from its 48 TMUs. That is approximately a 17.4 times advantage for the Instinct part. Pixel rate inverts the trend: the MI350X reports 0 MPixel/s with zero ROPs, while the Z2 Go delivers 86.40 GPixel/s from its 32 ROPs. The Instinct MI350X is not designed for rasterization output, which explains its zero pixel throughput.

Memory bandwidth is another decisive split. The MI350X uses 288 GB of HBM3e across an 8192-bit bus, yielding 8.19 TB/s. The Z2 Go uses 16 GB of LPDDR5 across a 128-bit bus, yielding 102.4 GB/s. The bandwidth ratio is approximately 80 to 1. Capacity differs by a factor of 18. These are not competing products; they occupy separate segments where raw compute and memory throughput versus low-power integrated graphics define their respective roles.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The AMD Instinct MI350X. It delivers 72.09 TFLOPS of FP32 performance, while the AMD Ryzen Z2 Go GPU delivers 4.147 TFLOPS. The Instinct part is approximately 17.4 times faster in this metric.

Q: How do the two GPUs compare in memory bandwidth?

A: The Instinct MI350X provides 8.19 TB/s of bandwidth from 288 GB of HBM3e on an 8192-bit bus. The Ryzen Z2 Go provides 102.4 GB/s from 16 GB of LPDDR5 on a 128-bit bus. The MI350X leads by about 80 times.

Q: Does the Ryzen Z2 Go support modern graphics APIs?

A: Yes. The Ryzen Z2 Go supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The Instinct MI350X reports N/A for all three APIs, reflecting its compute-oriented design without a display or graphics pipeline.

Q: What is the pixel fill rate of each GPU?

A: The Ryzen Z2 Go delivers 86.40 GPixel/s from its 32 ROPs. The Instinct MI350X reports 0 MPixel/s with zero ROPs, indicating it does not perform traditional rasterization work.

Q: Which GPU has more shading units?

A: The Instinct MI350X has 16,384 shading units. The Ryzen Z2 Go has 768 shading units. The MI350X also has 1024 TMUs versus 48 TMUs on the Z2 Go.

Q: How do the process nodes differ?

A: The Instinct MI350X is built on a 3 nm process at TSMC. The Ryzen Z2 Go is built on a 6 nm process at TSMC. The MI350X packs 185,000 million transistors on a 2380 mm² die, while the Z2 Go packs 13,100 million transistors on a 208 mm² die.

The Verdict

The database positions both GPUs at the 50th percentile among all GPUs, with zero average benchmark scores. That parity in percentile ranking is misleading because the two devices serve opposite ends of the GPU spectrum. The Instinct MI350X is an accelerator-class module with 1000 W TDP, no display outputs, no graphics API support, and no ROPs. The Ryzen Z2 Go is a low-power console GPU with 28 W TDP, a single USB Type-C display output, and full DirectX 12 Ultimate support.

For compute workloads that require massive FP32 or FP16 throughput, the MI350X is the clear choice. Its 72.09 TFLOPS FP32, 8.19 TB/s memory bandwidth, and 288 GB capacity place it in a different performance class entirely. The Z2 Go cannot approach these figures. For rendering to a display, the Z2 Go is the only viable option. The MI350X has no pixel output capability, while the Z2 Go provides 86.40 GPixel/s and supports current graphics APIs.

The data does not show which GPU is better in absolute terms. It shows two devices with incompatible design targets. A user selecting between them would be choosing between a compute accelerator and a graphics processor, and the benchmark results, though empty, align with that distinction.

Specification Differences

| Field | AMD Instinct MI350X | AMD Ryzen Z2 Go GPU |

|---|---|---|

| Chip | MI350 256CU | Rembrandt+ |

| Architecture | CDNA 4.0 | RDNA 2.0 |

| Generation | Instinct (MIx) | Console GPU (AMD) |

| Process Node | 3 nm | 6 nm |

| Foundry | TSMC | TSMC |

| Transistors | 185,000 million | 13,100 million |

| Die Size | 2380 mm² | 208 mm² |

| Transistor Density | 77.7M / mm² | 63.0M / mm² |

| Base Clock | 1000 MHz | 800 MHz |

| Boost Clock | 2200 MHz | 2700 MHz |

| Memory Clock | 2000 MHz, 8 Gbps effective | 800 MHz, 6.4 Gbps effective |

| Memory Size | 288 GB | 16 GB |

| Memory Type | HBM3e | LPDDR5 |

| Memory Bus Width | 8192 bit | 128 bit |

| Memory Bandwidth | 8.19 TB/s | 102.4 GB/s |

| Shading Units | 16384 | 768 |

| TMUs | 1024 | 48 |

| ROPs | 0 | 32 |

| RT Cores | null | 12 |

| Pixel Rate | 0 MPixel/s | 86.40 GPixel/s |

| Texture Rate | 2,252.8 GTexel/s | 129.6 GTexel/s |

| FP32 | 72.09 TFLOPS | 4.147 TFLOPS |

| FP16 | 72.09 TFLOPS (1:1) | 8.294 TFLOPS (2:1) |

| TDP | 1000 W | 28 W |

| Slot Width | OAM Module | null |

| Suggested PSU | 1400 W | null |

| Bus Interface | PCIe 5.0 x16 | null |

| Display Outputs | No outputs | 1x USB Type-C |

| DirectX | N/A | 12 Ultimate (12_2) |

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Dimensions | 102 mm length, 165 mm width | null |

| Production Status | null | Active |

| Release Date | 2025-06-11 | 2024-12-31 |

Architecture Differences

The Instinct MI350X uses the CDNA 4.0 architecture, built for data center compute. It has 256 compute units, 16,384 shading units, and 1024 TMUs. It has no ROPs, no ray tracing cores listed, and no graphics API support. The die spans 2380 mm² with 185,000 million transistors at a density of 77.7M per mm². The architecture uses HBM3e memory with an 8192-bit bus. Its FP16 rate matches its FP32 rate at a 1:1 ratio, indicating a compute-focused pipeline without the consumer GPU practice of halving FP16 throughput.

The Ryzen Z2 Go uses the RDNA 2.0 architecture, a graphics-oriented design. It has 768 shading units, 48 TMUs, 32 ROPs, and 12 ray tracing cores. The die is 208 mm² with 13,100 million transistors at 63.0M per mm². Memory is LPDDR5 on a 128-bit bus. Its FP16 rate is double its FP32 rate at a 2:1 ratio, which is typical for consumer graphics hardware. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and it provides a single USB Type-C display output.

The node difference is notable: 3 nm versus 6 nm, both at TSMC. The MI350X uses the smaller node to pack 14 times more transistors onto an 11.4 times larger die. The Z2 Go uses a larger node but operates at 28 W TDP, a 36 times lower power envelope than the MI350X's 1000 W. The MI350X has a higher base clock (1000 MHz versus 800 MHz) but a lower boost clock (2200 MHz versus 2700 MHz). The Z2 Go boosts 500 MHz higher, likely because of its much lower power target and smaller die.

The MI350X reports no display outputs and no graphics APIs, confirming it has no rendering path. The Z2 Go is explicitly a console GPU with a display output and full API support. The transistor density difference (77.7M versus 63.0M per mm²) reflects the more advanced 3 nm process and a design that prioritizes compute throughput over graphics features.

Where Each One Wins

The Instinct MI350X wins decisively in compute throughput. Its FP32 of 72.09 TFLOPS and FP16 of 72.09 TFLOPS make it suitable for workloads that scale with raw arithmetic throughput. Its 8.19 TB/s memory bandwidth and 288 GB capacity support large data sets that would not fit in the Z2 Go's 16 GB LPDDR5 pool. The 1024 TMUs and 2,252.8 GTexel/s texture rate indicate strength in texture-heavy compute tasks. The zero ROP count and N/A graphics APIs mean it does not compete in rasterization or display output.

The Ryzen Z2 Go wins in graphics output and power efficiency. It delivers 86.40 GPixel/s from its 32 ROPs and supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. Its 12 ray tracing cores enable hardware-accelerated ray tracing, which the MI350X does not list. The 28 W TDP makes it operable in low-power environments, while the MI350X requires a 1400 W suggested PSU. The Z2 Go also has a display output via USB Type-C, which the MI350X lacks entirely.

The FP16 ratio difference points to distinct workload strengths. The MI350X maintains 1:1 FP16 to FP32, so FP16 compute does not gain an advantage over FP32. The Z2 Go's 2:1 FP16 ratio means its FP16 throughput (8.294 TFLOPS) is double its FP32 throughput (4.147 TFLOPS), which can benefit certain graphics and media workloads. However, the absolute FP16 figure still favors the MI350X by roughly 8.7 times.

The MI350X wins on memory capacity and bandwidth by orders of magnitude. The Z2 Go wins on pixel output and API compatibility. The MI350X is an OAM module with no power connectors listed and no display outputs. The Z2 Go is an active production part with a single USB Type-C output. The release dates differ by about six months, with the Z2 Go appearing in late 2024 and the MI350X in mid 2025. The data shows no overlap in intended usage. One processes data, the other renders frames.