AMD Instinct MI300X vs AMD Radeon RX 9050 Comparison

Where Each One Wins

The AMD Instinct MI300X and AMD Radeon RX 9050 occupy entirely different segments of the GPU landscape, and the benchmark data reflects that separation. The MI300X is a compute-focused accelerator with a recorded Geekbench OpenCL score of 317,994, placing it at the 100th percentile of all GPUs in the database. That score positions it 7.5 percent ahead of the NVIDIA L40S and 10.7 percent ahead of the NVIDIA RTX 6000 Ada Generation, while sitting 5 percent behind the NVIDIA H200 NVL and 8 percent behind the NVIDIA B200. The RX 9050, by contrast, has no recorded benchmark scores in the database, with an average benchmark score of zero and a percentile ranking of 50, indicating it sits at the median of the database distribution based on its specifications rather than measured performance.

The MI300X wins decisively in raw compute throughput. Its FP32 performance of 81.72 TFLOPS and FP16 performance of 81.72 TFLOPS (1:1) dwarf the RX 9050's figures of 10.65 TFLOPS in both precision modes. This is a 7.7-fold difference in raw floating-point capability, and the data shows the MI300X delivers this performance across a massive 192 GB HBM3 memory pool with 5.32 TB/s of bandwidth. The RX 9050 counters with 8 GB of GDDR6 memory and 288.0 GB/s of bandwidth, figures that suit client-side rendering workloads but cannot approach the memory capacity or throughput required for large-scale compute tasks.

The RX 9050 wins in efficiency-oriented metrics and feature completeness for graphics workloads. Its 92 W TDP compares favorably against the MI300X's 750 W TDP, a difference that translates into substantially lower power requirements. The RX 9050 also brings display outputs (1x HDMI 2.1b and 2x DisplayPort 2.1a) to the table, while the MI300X has no display outputs at all. For graphics API support, the RX 9050 lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, whereas the MI300X reports N/A for all three APIs, confirming its role as a compute-only accelerator.

Architecture Differences

The two GPUs diverge at the architectural level in ways that explain their performance profiles. The MI300X uses the CDNA 3.0 architecture on the Aqua Vanjaram chip, fabricated on a 5 nm process at TSMC. The RX 9050 uses the RDNA 4.0 architecture on the Navi 44 chip, fabricated on a 4 nm process at TSMC. Both come from AMD, but they target fundamentally different workloads: CDNA 3.0 is designed for datacenter compute, while RDNA 4.0 is designed for consumer graphics.

The transistor counts reflect this divide. The MI300X packs 153,000 million transistors on a 1017 mm² die, yielding a transistor density of 150.4 million transistors per square millimeter. The RX 9050 contains 29,700 million transistors on a 199 mm² die, with a density of 149.2 million transistors per square millimeter. The densities are nearly identical, which indicates both chips are manufactured with comparable design efficiency, but the MI300X uses an enormous die to house far more compute resources.

The shading unit counts tell a similar story. The MI300X carries 19,456 shading units, 1,216 texture mapping units, and zero ROPs, which is consistent with a compute accelerator that does not rasterize graphics. The RX 9050 carries 1,024 shading units, 64 TMUs, 64 ROPs, and 16 ray tracing cores, a configuration designed for rendering pipelines. The MI300X reports a pixel rate of 0 MPixel/s and a texture rate of 2,553.6 GTexel/s, while the RX 9050 reports 166.4 GPixel/s and 166.4 GTexel/s respectively.

Memory architecture also differs significantly. The MI300X uses HBM3 with an 8192-bit bus, while the RX 9050 uses GDDR6 with a 128-bit bus. The MI300X's memory clock is 1300 MHz with 5.2 Gbps effective data rate, compared to the RX 9050's 2250 MHz with 18 Gbps effective. Clock speeds for the compute units show the RX 9050 running higher: its base clock is 1330 MHz and boost clock is 2600 MHz, versus the MI300X's 1000 MHz base and 2100 MHz boost. The RX 9050 also lists a game clock of 1920 MHz, a metric that does not apply to the MI300X.

Power and physical specifications further differentiate the two. The MI300X is an OAM Module with no power connectors and a suggested PSU of 1150 W. The RX 9050 is a Dual-slot card with a single 8-pin power connector and a suggested PSU of 250 W. The MI300X uses a PCIe 5.0 x16 bus interface, and the RX 9050 does as well, but the MI300X has no display outputs while the RX 9050 includes HDMI 2.1b and DisplayPort 2.1a outputs.

FAQ

Q: Which GPU has the higher benchmark score?

A: The AMD Instinct MI300X has a recorded Geekbench OpenCL score of 317,994, placing it at the 100th percentile of all GPUs. The AMD Radeon RX 9050 has no recorded benchmark scores in the database, with an average benchmark score of zero.

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

A: The MI300X scores 7.5 percent higher than the NVIDIA L40S and 10.7 percent higher than the NVIDIA RTX 6000 Ada Generation. It trails the NVIDIA H200 NVL by 5 percent and the NVIDIA B200 by 8 percent.

Q: What are the memory capacities of these two GPUs?

A: The MI300X has 192 GB of HBM3 memory with a 5.32 TB/s bandwidth. The RX 9050 has 8 GB of GDDR6 memory with a 288.0 GB/s bandwidth.

Q: Which GPU supports display outputs?

A: The RX 9050 supports 1x HDMI 2.1b and 2x DisplayPort 2.1a outputs. The MI300X has no display outputs.

Q: What are the power requirements for each GPU?

A: The MI300X has a 750 W TDP and a suggested PSU of 1150 W. The RX 9050 has a 92 W TDP and a suggested PSU of 250 W.

Q: Which GPU has the higher boost clock?

A: The RX 9050 has a boost clock of 2600 MHz, compared to the MI300X's boost clock of 2100 MHz. The RX 9050 also has a base clock of 1330 MHz versus the MI300X's 1000 MHz.

Specification Differences

The two GPUs differ across nearly every specification category. The MI300X uses the CDNA 3.0 architecture on the Aqua Vanjaram chip, while the RX 9050 uses RDNA 4.0 on the Navi 44 chip. The manufacturing process is 5 nm for the MI300X and 4 nm for the RX 9050, both at TSMC. The MI300X contains 153,000 million transistors on a 1017 mm² die, while the RX 9050 contains 29,700 million transistors on a 199 mm² die. Transistor density is nearly identical at 150.4 million per square millimeter for the MI300X and 149.2 million per square millimeter for the RX 9050.

Base clocks are 1000 MHz for the MI300X and 1330 MHz for the RX 9050. Boost clocks are 2100 MHz and 2600 MHz respectively. The RX 9050 also has a game clock of 1920 MHz, while the MI300X has no game clock. Memory clocks are 1300 MHz with 5.2 Gbps effective for the MI300X and 2250 MHz with 18 Gbps effective for the RX 9050.

Memory capacity is 192 GB of HBM3 for the MI300X versus 8 GB of GDDR6 for the RX 9050. Bus widths are 8192 bits and 128 bits respectively. Memory bandwidth is 5.32 TB/s versus 288.0 GB/s. Shading units number 19,456 for the MI300X and 1,024 for the RX 9050. TMUs are 1,216 versus 64. The MI300X has zero ROPs, while the RX 9050 has 64. The RX 9050 has 16 ray tracing cores, while the MI300X has none listed.

Pixel rates are 0 MPixel/s for the MI300X and 166.4 GPixel/s for the RX 9050. Texture rates are 2,553.6 GTexel/s versus 166.4 GTexel/s. FP32 performance is 81.72 TFLOPS versus 10.65 TFLOPS, and FP16 performance is 81.72 TFLOPS (1:1) versus 10.65 TFLOPS (1:1). TDP is 750 W versus 92 W. The MI300X is an OAM Module with no power connectors, while the RX 9050 is Dual-slot with a single 8-pin connector. Suggested PSU is 1150 W versus 250 W. Both use PCIe 5.0 x16, but the MI300X has no display outputs while the RX 9050 has HDMI 2.1b and DisplayPort 2.1a. The MI300X reports N/A for DirectX, OpenGL, and Vulkan, while the RX 9050 lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Release dates are December 5, 2023 for the MI300X and July 27, 2026 for the RX 9050. The RX 9050 has an active production status, while the MI300X does not list one.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark comparisons between the MI300X and the RX 9050. The head-to-head benchmark list is empty, and the win counts for both GPUs are zero. However, the available data for the MI300X allows for meaningful performance positioning. Its Geekbench OpenCL score of 317,994 places it at the 100th percentile, meaning it outperforms every other GPU in the database distribution. The nearest rivals provide context: the NVIDIA H200 NVL scores 334,891, which is 5 percent higher; the NVIDIA B200 scores 345,482, which is 8 percent higher; the NVIDIA L40S scores 295,763, which is 7.5 percent lower; and the NVIDIA RTX 6000 Ada Generation scores 287,237, which is 10.7 percent lower.

The RX 9050 has no benchmark scores, so direct numerical comparison against the MI300X is impossible from the recorded data. What the specifications show is a clear division of labor. The MI300X's 81.72 TFLOPS FP32 throughput and 5.32 TB/s memory bandwidth make it suitable for large-scale compute tasks. The RX 9050's 10.65 TFLOPS FP32 throughput and 288.0 GB/s bandwidth, combined with its display outputs and graphics API support, make it suitable for rendering workloads. The MI300X's 192 GB memory capacity versus the RX 9050's 8 GB capacity further underscores the intended use cases.

The percentile rankings reinforce this split. The MI300X sits at the 100th percentile of all GPUs based on its benchmark score, while the RX 9050 sits at the 50th percentile based on its specifications in the absence of benchmark data. The MI300X's nearest rivals are all NVIDIA datacenter accelerators, while the RX 9050 has no listed nearest rivals. The data indicates these two GPUs are not competitors in the same market segment; they serve complementary purposes within AMD's product stack. The MI300X targets compute density and memory capacity, while the RX 9050 targets efficiency and graphics feature support.