AMD Radeon Instinct MI300A vs AMD Ryzen Z2 Go GPU Comparison

Head-to-Head Benchmarks

The recorded database contains no benchmark scores for either the AMD Radeon Instinct MI300A or the AMD Ryzen Z2 Go GPU. Both entries show an average benchmark score of zero, and the head-to-head benchmark array is empty. Consequently, no direct performance comparisons can be drawn from measured results. The percentile ranking for both parts sits at 50, indicating a mid-point placement in the full database distribution, but this figure reflects database coverage rather than measured performance.

Without benchmark data, the analysis must rely on the architectural specifications to infer relative capabilities. The MI300A delivers a peak FP32 throughput of 81.72 TFLOPS, while the Z2 Go reaches 4.147 TFLOPS. The MI300A is approximately 19.7 times higher in single-precision floating-point throughput. In FP16, the MI300A records 653.7 TFLOPS, compared to 8.294 TFLOPS for the Z2 Go, a difference of roughly 78.8 times. The texture rate further separates the two: 2,553.6 GTexel/s versus 129.6 GTexel/s, a factor of about 19.7. Pixel rate, however, favors the Z2 Go, which records 86.40 GPixel/s against the MI300A's 0 MPixel/s, as the latter has no ROPs configured.

Architecture Differences

The MI300A uses the CDNA 3.0 architecture on a 5 nm TSMC process, while the Z2 Go uses RDNA 2.0 on a 6 nm TSMC process. The MI300A's chip, Aqua Vanjaram, packs 153,000 million transistors across a 1017 mm² die, yielding a transistor density of 150.4M per mm². The Z2 Go's Rembrandt+ chip contains 13,100 million transistors on a 208 mm² die, for a density of 63.0M per mm². The MI300A integrates 19,456 shading units, 1,216 texture mapping units, and no ROPs, whereas the Z2 Go has 768 shading units, 48 TMUs, and 32 ROPs. The Z2 Go also includes 12 ray tracing cores, a feature the MI300A does not list.

Memory architecture diverges sharply. The MI300A uses 192 GB of HBM3 on an 8192-bit bus, delivering 10.3 TB/s of bandwidth. The Z2 Go uses 16 GB of LPDDR5 on a 128-bit bus, providing 102.4 GB/s. The MI300A's memory clock is listed at 2525 MHz with 10.1 Gbps effective, while the Z2 Go runs at 800 MHz with 6.4 Gbps effective. The MI300A's memory subsystem is designed for data-center scale workloads, while the Z2 Go's smaller pool targets portable, low-power operation.

Feature support also differs. The Z2 Go lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 API support, plus one USB Type-C display output. The MI300A lists no display outputs and no API entries for DirectX, OpenGL, or Vulkan. The MI300A uses a PCIe 5.0 x16 bus interface, while the Z2 Go lists no bus interface. The MI300A is an OAM Module with a 750 W TDP and a suggested PSU of 1150 W, whereas the Z2 Go has a 28 W TDP and no suggested PSU. Neither part uses auxiliary power connectors.

FAQ

Q: Which GPU has higher FP32 compute?

A: The MI300A records 81.72 TFLOPS, about 19.7 times the Z2 Go's 4.147 TFLOPS.

Q: Does the MI300A support ray tracing?

A: No ray tracing core count is listed for the MI300A. The Z2 Go lists 12 ray tracing cores.

Q: What is the memory capacity difference?

A: The MI300A has 192 GB of HBM3, while the Z2 Go has 16 GB of LPDDR5.

Q: Which GPU has a higher boost clock?

A: The Z2 Go boosts to 2700 MHz, while the MI300A boosts to 2100 MHz.

Q: Can either GPU output video?

A: The Z2 Go has one USB Type-C output. The MI300A lists no display outputs.

Q: Which GPU consumes less power?

A: The Z2 Go is rated at 28 W, compared to the MI300A's 750 W.

Specification Differences

The two GPUs differ in nearly every recorded specification. Process node: 5 nm for the MI300A, 6 nm for the Z2 Go. Transistor count: 153,000 million versus 13,100 million. Die size: 1017 mm² versus 208 mm². Transistor density: 150.4M per mm² versus 63.0M per mm². Base clock: 1000 MHz versus 800 MHz. Boost clock: 2100 MHz versus 2700 MHz. Memory clock: 2525 MHz (10.1 Gbps effective) versus 800 MHz (6.4 Gbps effective). Memory size: 192 GB versus 16 GB. Memory type: HBM3 versus LPDDR5. Bus width: 8192 bit versus 128 bit. Bandwidth: 10.3 TB/s versus 102.4 GB/s. Shading units: 19,456 versus 768. TMUs: 1,216 versus 48. ROPs: 0 versus 32. Ray tracing cores: none listed versus 12. Pixel rate: 0 MPixel/s versus 86.40 GPixel/s. Texture rate: 2,553.6 GTexel/s versus 129.6 GTexel/s. FP32: 81.72 TFLOPS versus 4.147 TFLOPS. FP16: 653.7 TFLOPS (8:1) versus 8.294 TFLOPS (2:1). TDP: 750 W versus 28 W. Slot width: OAM Module versus not listed. Suggested PSU: 1150 W versus not listed. Bus interface: PCIe 5.0 x16 versus not listed. Display outputs: none versus 1x USB Type-C. DirectX: none listed versus 12 Ultimate (12_2). OpenGL: none listed versus 4.6. Vulkan: none listed versus 1.4. Release date: 2023-12-05 versus 2024-12-31. Production status: not listed versus Active. The MI300A lists its predecessor as FirePro Data Center, while the Z2 Go has no predecessor. Both lack a launch MSRP and a successor.

The Verdict

The data indicates two GPUs built for opposite ends of the computing spectrum. The MI300A is a data-center accelerator with massive memory bandwidth, high FP32 and FP16 throughput, and no display or consumer API support. Its 750 W TDP and OAM Module form factor align with server installations rather than desktop or handheld systems. The Z2 Go is a low-power console-class GPU with ray tracing, modern API support, and a single USB Type-C output, suited to embedded or portable devices where 28 W is the power ceiling.

Benchmark results do not exist in the database, so the verdict rests on specifications. The MI300A dominates raw compute and memory metrics, while the Z2 Go offers features the MI300A lacks: ROPs, ray tracing, display output, and consumer graphics APIs. Neither part is a substitute for the other. The MI300A cannot output video or run DirectX titles, and the Z2 Go cannot approach the MI300A's compute throughput or memory pool.

Where Each One Wins

The MI300A wins in every compute-heavy category: FP32 throughput, FP16 throughput, texture rate, memory capacity, memory bandwidth, and bus width. It also has a higher base clock and a larger die with more transistors. Its CDNA 3.0 architecture and 5 nm process target scientific computing, AI inference, and large-scale data processing where 10.3 TB/s of bandwidth matters.

The Z2 Go wins in pixel rate, ROP count, ray tracing capability, and API compatibility. It has a higher boost clock and a much lower TDP, making it the only one of the two that can operate in power-constrained environments. Its 16 GB of LPDDR5 memory and 128-bit bus are modest by comparison, but the Z2 Go is the only part in this comparison with any display output or consumer graphics API support. The Z2 Go also lists an Active production status, while the MI300A does not list a production status. For workloads requiring pixel rendering, ray tracing, or video output, the Z2 Go is the functional choice; for compute throughput and memory scale, the MI300A stands alone.