AMD Instinct MI300X vs AMD Ryzen Z2 Go GPU Comparison

Head-to-Head Benchmarks

The benchmark comparison between the AMD Instinct MI300X and the AMD Ryzen Z2 Go GPU is starkly one-sided, though the comparison itself is limited by available data. The Instinct MI300X has a recorded Geekbench OpenCL score of 317,994, placing it in the 100th percentile of all GPUs in the database. The Ryzen Z2 Go GPU has no recorded benchmark scores, with an average benchmark score of 0 and a 50th percentile placement. This means the Z2 Go cannot be directly measured against the MI300X in any head-to-head test; the database simply has no performance data for the Z2 Go.

The MI300X's score of 317,994 places it against a set of four nearest rivals in the database. It trails the NVIDIA B200 by 8%, which holds an average score of 345,482, and the NVIDIA H200 NVL by 5%, with an average of 334,891. Conversely, the MI300X leads the NVIDIA L40S by 7.5%, whose average score is 295,763, and the NVIDIA RTX 6000 Ada Generation by 10.7%, with an average of 287,237. These deltas show the MI300X sits in a competitive band, slightly behind the top-tier B200 and H200, while clearly ahead of the L40S and RTX 6000 Ada.

For the Z2 Go, the absence of benchmark results means there are no nearest rivals listed and no wins recorded. The database assigns it a 50th percentile rank, which is the median position, but this is based on the absence of data rather than a measured performance level. The MI300X, by contrast, holds a perfect 100th percentile rank, indicating it is at the top of the database's distribution among all GPUs.

The wins tally reflects this asymmetry: the MI300X has 0 wins and the Z2 Go has 0 wins, because there are no head-to-head benchmark entries in the database. This is not a tie; it is a data gap. The only meaningful comparison available is the MI300X's absolute score and its position relative to its listed rivals, none of which include the Z2 Go.

Where Each One Wins

The MI300X wins in every category where data exists. Its recorded Geekbench OpenCL score of 317,994 is the sole performance metric available, and it demonstrates overwhelming compute capability. The FP32 throughput of 81.72 TFLOPS, the texture rate of 2,553.6 GTexel/s, and the 5.32 TB/s memory bandwidth all point to a device designed for massive parallel workloads. The 192 GB of HBM3 memory and the 8192-bit bus width reinforce this positioning as a high-end accelerator for data center and AI tasks.

The Z2 Go wins in portability and efficiency, though these are not directly measured by benchmarks in the database. Its 28 W TDP is dramatically lower than the MI300X's 750 W, and its 16 GB of LPDDR5 memory with a 128-bit bus and 102.4 GB/s bandwidth is a fraction of the MI300X's resources. The Z2 Go's FP32 of 4.147 TFLOPS and FP16 of 8.294 TFLOPS (2:1) are far below the MI300X's 81.72 TFLOPS for both FP32 and FP16 (1:1). The Z2 Go does have a pixel rate of 86.40 GPixel/s, whereas the MI300X has 0 MPixel/s, indicating the Z2 Go can drive display outputs while the MI300X cannot.

In terms of use cases, the MI300X is for compute-heavy environments: the 100th percentile rank and the score of 317,994 show it dominates in raw processing. The Z2 Go, with no benchmark scores, is positioned for low-power graphics and display tasks, as evidenced by its 1x USB Type-C output and its DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 API support. The MI300X has no display outputs and no API support in the database (DirectX, OpenGL, and Vulkan are all listed as N/A). This split is clear: the MI300X wins on compute, the Z2 Go wins on power efficiency and display capability.

Architecture Differences

The architectural gap between these two GPUs is fundamental. The MI300X uses the CDNA 3.0 architecture on a chip called Aqua Vanjaram, built on a 5 nm process at TSMC. The Z2 Go uses the RDNA 2.0 architecture on a chip called Rembrandt+, built on a 6 nm process, also at TSMC. These are different design philosophies: CDNA is optimized for data center compute, while RDNA is optimized for graphics and gaming.

The transistor counts differ enormously. The MI300X has 153,000 million transistors on a die size of 1017 mm², yielding a transistor density of 150.4M per mm². The Z2 Go has 13,100 million transistors on a 208 mm² die, with a density of 63.0M per mm². The MI300X has over eleven times the transistor count and a die that is nearly five times larger. This directly correlates with the compute resources: the MI300X has 19,456 shading units and 1,216 TMUs, while the Z2 Go has 768 shading units and 48 TMUs. The MI300X has no ROPs listed, while the Z2 Go has 32. The MI300X has no ray tracing cores listed, while the Z2 Go has 12 RT cores.

Memory architecture is also divergent. The MI300X uses HBM3 with 192 GB capacity, an 8192-bit bus, and 5.32 TB/s bandwidth. The Z2 Go uses LPDDR5 with 16 GB capacity, a 128-bit bus, and 102.4 GB/s bandwidth. The MI300X's memory clock is 1300 MHz with 5.2 Gbps effective speed, while the Z2 Go's memory clock is 800 MHz with 6.4 Gbps effective speed. The MI300X's memory bandwidth is over 50 times higher, which is critical for large-scale AI models.

The FP32 and FP16 rates reflect the different priorities. The MI300X delivers 81.72 TFLOPS for both FP32 and FP16 at a 1:1 ratio, which is typical for compute accelerators that do not need to halve precision for speed. The Z2 Go delivers 4.147 TFLOPS FP32 and 8.294 TFLOPS FP16 at a 2:1 ratio, showing it can double throughput when using reduced precision, a common feature for graphics and consumer workloads.

Specification Differences

The two GPUs differ in nearly every specification field. The process nodes are 5 nm for the MI300X and 6 nm for the Z2 Go. The transistor counts are 153,000 million versus 13,100 million. The die sizes are 1017 mm² versus 208 mm². The base clocks are 1000 MHz for the MI300X and 800 MHz for the Z2 Go, but the boost clocks flip: 2100 MHz for the MI300X and 2700 MHz for the Z2 Go. The higher boost clock on the Z2 Go is notable, but it does not compensate for the massive difference in shading units.

Memory specifications diverge sharply. The MI300X has 192 GB of HBM3 with an 8192-bit bus and 5.32 TB/s bandwidth. The Z2 Go has 16 GB of LPDDR5 with a 128-bit bus and 102.4 GB/s bandwidth. The MI300X's memory clock is 1300 MHz at 5.2 Gbps effective, while the Z2 Go's is 800 MHz at 6.4 Gbps effective. The MI300X has 19,456 shading units and 1,216 TMUs, while the Z2 Go has 768 shading units and 48 TMUs. The MI300X has 0 ROPs, while the Z2 Go has 32. The Z2 Go has 12 RT cores, while the MI300X has none listed.

The TDP is 750 W for the MI300X and 28 W for the Z2 Go. The MI300X is an OAM module with no power connectors and a suggested PSU of 1150 W, while the Z2 Go has no power connectors listed and no suggested PSU. The bus interface is PCIe 5.0 x16 for the MI300X, while the Z2 Go has no bus interface listed. Display outputs are absent for the MI300X, while the Z2 Go has 1x USB Type-C. API support is N/A for the MI300X, while the Z2 Go supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The release dates are December 5, 2023, for the MI300X and December 31, 2024, for the Z2 Go. The MI300X's predecessor is Radeon Instinct, while the Z2 Go has no predecessor listed. The Z2 Go has a production status of Active, while the MI300X does not have a production status listed.

FAQ

Q: Which GPU has a higher Geekbench OpenCL score?

A: The AMD Instinct MI300X has a recorded score of 317,994, placing it in the 100th percentile. The AMD Ryzen Z2 Go GPU has no recorded benchmark scores, with an average benchmark score of 0.

Q: How does the MI300X compare to its nearest rivals?

A: The MI300X trails the NVIDIA B200 by 8% and the NVIDIA H200 NVL by 5%, while leading the NVIDIA L40S by 7.5% and the NVIDIA RTX 6000 Ada Generation by 10.7%.

Q: What is the memory capacity and bandwidth difference?

A: The MI300X has 192 GB of HBM3 memory with an 8192-bit bus and 5.32 TB/s bandwidth. The Z2 Go has 16 GB of LPDDR5 memory with a 128-bit bus and 102.4 GB/s bandwidth.

Q: Which GPU supports display outputs?

A: The Z2 Go has 1x USB Type-C display output. The MI300X has no display outputs.

Q: What are the FP32 performance figures?

A: The MI300X delivers 81.72 TFLOPS FP32. The Z2 Go delivers 4.147 TFLOPS FP32.

Q: What is the TDP of each GPU?

A: The MI300X has a TDP of 750 W. The Z2 Go has a TDP of 28 W.

The Verdict

The data points to a complete separation of purpose. The AMD Instinct MI300X is a compute accelerator with a 317,994 Geekbench OpenCL score, a 100th percentile rank, and performance that sits between the NVIDIA B200 and H200 on one side and the L40S and RTX 6000 Ada on the other. It uses a 5 nm process, 153,000 million transistors, and 192 GB of HBM3 memory to deliver 81.72 TFLOPS FP32 and 81.72 TFLOPS FP16. It has no display outputs and no API support, confirming it is not for graphics tasks.

The AMD Ryzen Z2 Go GPU is a low-power graphics processor with no benchmark scores in the database. It uses a 6 nm process, 13,100 million transistors, and 16 GB of LPDDR5 memory. It delivers 4.147 TFLOPS FP32 and 8.294 TFLOPS FP16, supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and has a single USB Type-C display output. Its 28 W TDP is a fraction of the MI300X's 750 W.

For anyone selecting based on the database, the choice is clear: the MI300X is the only one with measured performance, and it is exceptional. The Z2 Go cannot be benchmarked against it because no data exists. The MI300X is for workloads that demand maximum compute, memory bandwidth, and capacity. The Z2 Go is for systems that need graphics output and minimal power draw. The recorded data does not support any other conclusion.