AMD Instinct MI300X vs NVIDIA GeForce RTX 4080 Max-Q Comparison

Head-to-Head Benchmarks

The database records only one benchmark result for the AMD Instinct MI300X: a Geekbench OpenCL score of 317,994. This places the accelerator at the 100th percentile among all GPUs in the database, meaning it outperforms essentially every other recorded part. The NVIDIA GeForce RTX 4080 Max-Q has no benchmark entries in the database, so its average benchmark score is recorded as zero, and it sits at the 50th percentile. The data shows a performance gap that is not just large but absolute in terms of measurable results.

For context, the MI300X's nearest rivals in the database are all NVIDIA data center parts. The NVIDIA H200 NVL leads with an average score of 334,891, which is 5% higher than the MI300X. The NVIDIA B200 posts 345,482, an 8% advantage. On the other side, the MI300X beats the NVIDIA L40S (295,763) by 7.5% and the NVIDIA RTX 6000 Ada Generation (287,237) by 10.7%. These deltas show that while the MI300X is near the top of the charts, it is not the absolute fastest compute accelerator in the database; the H200 NVL and B200 both edge it out in raw OpenCL throughput.

The RTX 4080 Max-Q, by contrast, has no recorded scores to compare, so any direct head-to-head numeric comparison is impossible. What the data does show is the structural difference: the MI300X delivers a score where the RTX 4080 Max-Q returns nothing. This is not a case of a narrow margin; it is a case of one part having a complete absence of recorded benchmark data. The percentile rankings reinforce this: 100th versus 50th, with the latter being the median position for a part with no results.

Where Each One Wins

The MI300X wins in every measurable compute category. Its FP32 throughput is 81.72 TFLOPS, more than four times the RTX 4080 Max-Q's 20.04 TFLOPS. FP16 performance follows the same 1:1 ratio on both parts, so the MI300X again delivers 81.72 TFLOPS versus 20.04 TFLOPS. Memory bandwidth is decisively in the MI300X's favor: 5.32 TB/s from HBM3 over an 8192-bit bus, compared to 432.0 GB/s from GDDR6 over a 192-bit bus. That is a 12.3x difference in bandwidth.

Texture rate also favors the MI300X heavily: 2,553.6 GTexel/s versus 313.2 GTexel/s. The RTX 4080 Max-Q does have a meaningful pixel rate of 108.0 GPixel/s, while the MI300X records 0 MPixel/s, because the Instinct part has no display outputs and is not designed for rasterized graphics output. So in pure rasterization terms, the RTX 4080 Max-Q is the only one of the two that can render to a screen.

The RTX 4080 Max-Q also has dedicated ray tracing cores (58) and tensor cores (232), while the MI300X records null values for both in the database. For workloads that leverage these fixed-function units, the RTX 4080 Max-Q has a functional advantage. The MI300X relies on its massive shader array (19,456 shading units versus 7,424) and raw FP32 throughput instead.

Architecture Differences

The MI300X uses AMD's CDNA 3.0 architecture on the Aqua Vanjaram chip. This is a compute-optimized design with no graphics output, reflected in its "OAM Module" slot width and "No outputs" display configuration. The RTX 4080 Max-Q uses NVIDIA's Ada Lovelace architecture on the AD104 chip, designed for mobile gaming and workstation laptops, with the slot width listed as "IGP" (integrated graphics processor) and display outputs described as "Portable Device Dependent."

Both parts are fabricated on a 5 nm process at TSMC, but the transistor counts diverge sharply. The MI300X packs 153,000 million transistors on a 1017 mm² die, yielding a transistor density of 150.4M per mm². The RTX 4080 Max-Q has 35,800 million transistors on a 294 mm² die, with a density of 121.8M per mm². The MI300X is a much larger chip with nearly 4.3x the transistor count, but the RTX 4080 Max-Q packs its transistors more tightly per unit area due to the different design philosophy.

The memory subsystems are architecturally distinct. The MI300X uses HBM3 with an 8192-bit bus, which explains its 5.32 TB/s bandwidth. The RTX 4080 Max-Q uses GDDR6 with a 192-bit bus, capping bandwidth at 432.0 GB/s. The MI300X's memory runs at 1300 MHz (5.2 Gbps effective), while the RTX 4080 Max-Q's memory runs at 2250 MHz (18 Gbps effective). The GDDR6 runs at higher clock speeds, but the HBM3's vastly wider bus wins on total throughput.

API support differs completely. The MI300X records N/A for DirectX, OpenGL, and Vulkan, as it is a compute accelerator without graphics APIs. The RTX 4080 Max-Q supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The bus interface also differs: PCIe 5.0 x16 on the MI300X versus PCIe 4.0 x16 on the RTX 4080 Max-Q.

Specification Differences

The two parts differ across nearly every recorded specification. Clock speeds: the MI300X runs at a 1000 MHz base and 2100 MHz boost, while the RTX 4080 Max-Q runs at 795 MHz base and 1350 MHz boost. The MI300X is clocked higher, but the RTX 4080 Max-Q has a much lower thermal envelope to maintain.

Shading units: 19,456 on the MI300X versus 7,424 on the RTX 4080 Max-Q. Texture mapping units: 1,216 versus 232. Raster operation units: 0 on the MI300X versus 80 on the RTX 4080 Max-Q. The MI300X has no ROPs because it does not rasterize frames.

Memory capacity: 192 GB of HBM3 on the MI300X versus 12 GB of GDDR6 on the RTX 4080 Max-Q. That is a 16x capacity difference. Memory bus width: 8192 bit versus 192 bit. Bandwidth: 5.32 TB/s versus 432.0 GB/s.

Thermal design power: the MI300X is rated at 750 W with a suggested PSU of 1150 W, while the RTX 4080 Max-Q is rated at 60 W with no suggested PSU listed. Power connectors: both list "None." The MI300X uses an OAM module form factor, while the RTX 4080 Max-Q is an IGP.

Release dates: the MI300X launched on December 5, 2023, while the RTX 4080 Max-Q launched on January 2, 2023. The RTX 4080 Max-Q's production status is listed as "Active," and it has a successor (GeForce 50 Mobile). The MI300X's production status is null, with no successor listed. The RTX 4080 Max-Q's predecessor is GeForce 30 Mobile; the MI300X's predecessor is Radeon Instinct.

FAQ

Q: Why does the AMD Instinct MI300X have a 100th percentile ranking while the RTX 4080 Max-Q sits at the 50th?

A: The MI300X has a recorded Geekbench OpenCL score of 317,994, which places it above all other GPUs in the database. The RTX 4080 Max-Q has no benchmark entries, so its average benchmark score is zero, placing it at the median 50th percentile.

Q: How much faster is the MI300X in FP32 compute?

A: The MI300X delivers 81.72 TFLOPS FP32, while the RTX 4080 Max-Q delivers 20.04 TFLOPS. This is a 4.08x advantage for the MI300X. FP16 follows the same 1:1 ratio on both parts.

Q: Does the RTX 4080 Max-Q have any advantages over the MI300X?

A: Yes, in graphics-specific features. The RTX 4080 Max-Q has 58 ray tracing cores, 232 tensor cores, 80 ROPs, and a pixel rate of 108.0 GPixel/s. The MI300X records 0 MPixel/s pixel rate, null ray tracing and tensor cores, and has no display outputs.

Q: What is the memory bandwidth difference?

A: The MI300X has 5.32 TB/s bandwidth from HBM3 over an 8192-bit bus. The RTX 4080 Max-Q has 432.0 GB/s from GDDR6 over a 192-bit bus. The MI300X provides roughly 12.3x more bandwidth.

Q: How do the MI300X's nearest rivals compare?

A: The NVIDIA H200 NVL scores 334,891 (5% higher), the NVIDIA B200 scores 345,482 (8% higher), the NVIDIA L40S scores 295,763 (7.5% lower), and the NVIDIA RTX 6000 Ada Generation scores 287,237 (10.7% lower), all relative to the MI300X's 317,994.

Q: What are the thermal and form factor differences?

A: The MI300X is rated at 750 W TDP, requires a 1150 W suggested PSU, and uses an OAM Module slot. The RTX 4080 Max-Q is rated at 60 W TDP, has no suggested PSU, and uses an IGP slot. Both have no power connectors listed.

The Verdict

The data shows two parts designed for entirely different purposes. The AMD Instinct MI300X is a compute accelerator with a recorded OpenCL score of 317,994, placing it in the 100th percentile. It delivers 81.72 TFLOPS FP32, 192 GB of HBM3 memory, 5.32 TB/s bandwidth, and 19,456 shading units. It has no display outputs, no graphics APIs, and a 750 W TDP. This is a part for dense compute workloads: large model inference, scientific simulation, or any task that can use massive memory capacity and bandwidth.

The NVIDIA GeForce RTX 4080 Max-Q has no recorded benchmarks, so its performance cannot be quantified from the database. What is known is its specification profile: 20.04 TFLOPS FP32, 12 GB GDDR6, 432.0 GB/s bandwidth, 58 ray tracing cores, 232 tensor cores, and a 60 W TDP. It is an integrated graphics processor for mobile devices, supporting DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. It can render graphics, run ray-traced workloads, and operate in a power-constrained laptop environment.

For a builder or researcher choosing between these two, the decision is not about which is "better" in a general sense. The MI300X wins every recorded compute benchmark and every raw throughput metric. The RTX 4080 Max-Q wins on graphics capability and power efficiency, consuming 60 W versus 750 W. The MI300X has no rasterization hardware, so it cannot output frames. The RTX 4080 Max-Q has no recorded compute scores, so its raw throughput is unverified in this database.

The recorded data indicates the MI300X belongs in a server room, not a desktop. The RTX 4080 Max-Q belongs in a laptop, not a rack. Choose the MI300X for compute density and memory scale. Choose the RTX 4080 Max-Q for portable graphics and ray tracing. The benchmark data supports only one conclusion: these parts do not compete in the same segment, and the MI300X's performance lead is measured in multiples, not percentages.