AMD Radeon Instinct MI300X vs AMD Ryzen Z2 Go GPU Comparison

Head-to-Head Benchmarks

The database contains no recorded benchmark scores for either the AMD Radeon Instinct MI300X or the AMD Ryzen Z2 Go GPU. Both products sit at the 50th percentile in the database distribution, with an average benchmark score of zero for each. This makes direct performance comparisons impossible from measured data alone. Instead, the analysis must rely on the architectural specifications recorded in the database to project relative capability.

The raw compute figures show a dramatic disparity. The MI300X delivers 81.72 TFLOPS of FP32 throughput, while the Z2 Go GPU manages 4.147 TFLOPS. That places the MI300X at roughly 19.7 times the FP32 compute of the Z2 Go GPU. In FP16 workloads, the gap widens further: the MI300X reaches 653.7 TFLOPS (8:1 ratio), whereas the Z2 Go GPU produces 8.294 TFLOPS (2:1 ratio). The MI300X thus provides nearly 79 times the FP16 throughput, though the different ratio conventions complicate a direct apples-to-apples comparison.

Texture processing follows a similar pattern. The MI300X achieves a texture rate of 2,553.6 GTexel/s against the Z2 Go GPU's 129.6 GTexel/s, a factor of roughly 19.7. Pixel throughput tells a different story, however. The MI300X records 0 MPixel/s because it has no ROPs, while the Z2 Go GPU produces 86.40 GPixel/s with its 32 ROPs. The MI300X is not designed for traditional rasterized pixel output, so this metric favors the Z2 Go GPU by default.

Memory bandwidth heavily favors the MI300X. Its HBM3 memory delivers 10.3 TB/s across an 8192-bit bus, compared to the Z2 Go GPU's LPDDR5 memory at 102.4 GB/s over a 128-bit bus. That is a 100-fold difference in bandwidth. Memory capacity also diverges sharply: 192 GB versus 16 GB. The MI300X's memory operates at 2525 MHz with 10.1 Gbps effective speed, while the Z2 Go GPU's memory runs at 800 MHz with 6.4 Gbps effective.

Where Each One Wins

The MI300X wins overwhelmingly in raw compute, memory bandwidth, and memory capacity. Its FP32 throughput of 81.72 TFLOPS exceeds the Z2 Go GPU's 4.147 TFLOPS by a factor of nearly 20. Its FP16 output of 653.7 TFLOPS dwarfs the Z2 Go GPU's 8.294 TFLOPS. For any workload that scales with floating-point operations, such as large-scale scientific simulation, AI model training, or inference across massive parameter sets, the MI300X is the clear choice. The 192 GB HBM3 pool with 10.3 TB/s bandwidth allows datasets and model weights to reside entirely in GPU memory, eliminating the need for constant host-device transfers. The 8192-bit bus width also enables parallel access patterns that the 128-bit LPDDR5 interface cannot approach.

The Z2 Go GPU wins in power efficiency and rasterization capability. Its TDP is 28 W, versus 750 W for the MI300X. That means the Z2 Go GPU operates at roughly 3.7% of the MI300X's power draw while delivering about 5.1% of its FP32 performance. The efficiency ratio is comparable per watt, but the absolute power envelope makes the Z2 Go GPU suitable for compact, passively cooled or lightly cooled systems. The Z2 Go GPU also provides 32 ROPs and a pixel rate of 86.40 GPixel/s, which enables actual display output. It has a single USB Type-C display output, while the MI300X has no display outputs whatsoever. The Z2 Go GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, whereas the MI300X lists no API support in the database. For gaming or graphics rendering, the Z2 Go GPU is the only option with functional output capabilities.

The Z2 Go GPU also includes 12 ray tracing cores, a feature entirely absent from the MI300X's specifications. This gives the Z2 Go GPU a distinct advantage in ray-traced workloads, provided the rendering resolution and scene complexity stay within its 16 GB memory and 4.147 TFLOPS limits.

Architecture Differences

The two GPUs come from different architectural families within AMD's lineup. The MI300X uses CDNA 3.0, designed for data center compute, while the Z2 Go GPU uses RDNA 2.0, built for consumer and console graphics. Their codenames reflect this split: the MI300X is based on the Aqua Vanjaram chip, and the Z2 Go GPU uses Rembrandt+.

Manufacturing processes differ. The MI300X is fabricated on TSMC's 5 nm node, while the Z2 Go GPU uses TSMC's 6 nm process. Transistor counts diverge enormously: 153,000 million for the MI300X versus 13,100 million for the Z2 Go GPU. Die sizes follow: 1017 mm² for the MI300X and 208 mm² for the Z2 Go GPU. Transistor density measures 150.4M per mm² for the MI300X and 63.0M per mm² for the Z2 Go GPU, indicating the MI300X packs transistors more tightly despite the larger die.

The MI300X contains 19,456 shading units and 1,216 TMUs. The Z2 Go GPU has 768 shading units and 48 TMUs. The MI300X has zero ROPs, while the Z2 Go GPU has 32. The MI300X lists no ray tracing cores, but the Z2 Go GPU includes 12. Neither product records tensor cores in the database.

Clock speeds favor the Z2 Go GPU in boost terms. The MI300X runs at a 1000 MHz base and 2100 MHz boost. The Z2 Go GPU runs at 800 MHz base and 2700 MHz boost. The Z2 Go GPU's higher boost clock reflects its lower transistor count and smaller die, which reduce thermal density. The MI300X's lower boost clock allows stable operation across a 750 W power envelope.

Memory configurations are fundamentally different. The MI300X uses HBM3 with 192 GB capacity, 8192-bit bus width, and 10.3 TB/s bandwidth. The Z2 Go GPU uses LPDDR5 with 16 GB capacity, 128-bit bus width, and 102.4 GB/s bandwidth. The MI300X's memory clock is 2525 MHz with 10.1 Gbps effective speed; the Z2 Go GPU's memory clock is 800 MHz with 6.4 Gbps effective.

Form factors and interfaces also diverge. The MI300X is an OAM Module with PCIe 5.0 x16 bus interface and no power connectors listed. The Z2 Go GPU has no slot width, no bus interface listed, and no power connectors, but it does provide a USB Type-C display output. The MI300X has no display outputs. The MI300X lists a suggested PSU of 1150 W, while the Z2 Go GPU has no suggested PSU listed.

The MI300X's release date is December 5, 2023, and its predecessor is FirePro Data Center. The Z2 Go GPU's release date is December 31, 2024, and its production status is Active. The MI300X's production status is not recorded.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The MI300X delivers 81.72 TFLOPS of FP32 throughput, which is approximately 19.7 times the Z2 Go GPU's 4.147 TFLOPS.

Q: Can the MI300X output video to a display?

A: No. The MI300X has no display outputs, while the Z2 Go GPU provides a single USB Type-C output.

Q: How do the memory capacities compare?

A: The MI300X has 192 GB of HBM3 memory, while the Z2 Go GPU has 16 GB of LPDDR5 memory. The MI300X also has an 8192-bit bus versus 128-bit, and 10.3 TB/s bandwidth versus 102.4 GB/s.

Q: Does either GPU support ray tracing?

A: The Z2 Go GPU includes 12 ray tracing cores. The MI300X lists no ray tracing cores in the database.

Q: What are the power consumption figures?

A: The MI300X has a TDP of 750 W and a suggested PSU of 1150 W. The Z2 Go GPU has a TDP of 28 W and no suggested PSU listed.

Q: Which GPU supports DirectX 12 Ultimate?

A: The Z2 Go GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI300X lists no API support in the database.

The Verdict

The data describes two products with almost no functional overlap. The MI300X is a data center accelerator built for massive compute workloads. Its 81.72 TFLOPS FP32, 653.7 TFLOPS FP16, 192 GB HBM3, and 10.3 TB/s bandwidth position it for AI training, scientific simulation, and large-scale inference. Its 750 W TDP and OAM Module form factor indicate it belongs in server racks with dedicated power delivery. The lack of display outputs and rasterization hardware (zero ROPs) confirms it is not intended for graphics output.

The Z2 Go GPU is a low-power graphics processor with 28 W TDP, 768 shading units, 32 ROPs, and 12 ray tracing cores. Its FP32 output of 4.147 TFLOPS is modest, but its 86.40 GPixel/s pixel rate and DirectX 12 Ultimate support make it functional for gaming and general graphics. The 16 GB LPDDR5 memory and 102.4 GB/s bandwidth suit lighter workloads. Its single USB Type-C display output and support for OpenGL 4.6 and Vulkan 1.4 round out a consumer-oriented feature set.

For users selecting between these, the choice depends entirely on workload type. The MI300X is the only option for compute-heavy tasks that require massive memory capacity and bandwidth. The Z2 Go GPU is the only option for any task requiring display output, ray tracing, or standard graphics APIs. Neither can substitute for the other. The MI300X's zero ROPs and no display outputs make it useless for interactive graphics, while the Z2 Go GPU's 4.147 TFLOPS and 16 GB memory cannot approach the MI300X's compute or memory scale.

The percentile rankings in the database both sit at 50, reflecting the absence of benchmark scores rather than comparable performance. The recorded specifications show the MI300X outclasses the Z2 Go GPU by factors of roughly 20 in FP32 and 100 in memory bandwidth, but the Z2 Go GPU offers capabilities the MI300X simply does not have. The verdict from the data is straightforward: the MI300X for compute, the Z2 Go GPU for graphics.