AMD Instinct MI350X vs NVIDIA GeForce RTX 5050 Comparison

AMD Instinct MI350X and NVIDIA GeForce RTX 5050 occupy opposite ends of the hardware spectrum. The MI350X is a compute accelerator built for data center workloads, while the RTX 5050 is a consumer graphics card aimed at desktop gaming and mainstream applications. Their benchmark scores, architectural designs, and intended use cases share almost nothing in common. The database records no direct head-to-head benchmark runs between the two, and the MI350X has no benchmark entries at all, leaving its average score at zero. The RTX 5050, by contrast, has ten recorded benchmark scores and sits at the 66th percentile among all GPUs in the database.

Where Each One Wins

The RTX 5050 wins every measurable benchmark category because it is the only one of the two with recorded test results. Its average benchmark score is 21,035, derived from ten separate tests covering DirectX 12, OpenCL, Vulkan, and Passmark workloads. The MI350X has no benchmark scores in the database, so its average score is zero and its percentile rank is 50, which reflects its position among all GPUs based on no recorded data. That means the RTX 5050 is the clear winner in every single metric available for comparison.

In the RTX 5050’s recorded results, its strongest performance appears in Geekbench OpenCL with a score of 90,334, followed closely by Geekbench Vulkan at 89,381. These two scores indicate strong compute and graphics throughput in synthetic workloads. The Passmark G3D score of 17,326 shows solid rasterization performance, while Passmark GPU Compute at 9,184 indicates moderate compute capability. The DirectX tests tell a different story: Passmark DirectX 9 scores 186, DirectX 10 scores 103, DirectX 11 scores 150, and DirectX 12 scores only 66. The 3DMark Steel Nomad DX12 test records 2,502 points.

The MI350X cannot claim any benchmark wins because no benchmark data exists for it in the database. Its only comparative advantage lies in raw hardware specifications, such as memory capacity, memory bandwidth, texture rate, and FP32 throughput, but those numbers come from product specifications, not from measured performance. The database shows zero wins for the MI350X and zero wins for the RTX 5050 in head-to-head benchmarks, but the RTX 5050’s recorded scores give it the only actual performance data available.

Architecture Differences

The two chips come from different architectural families. The MI350X uses CDNA 4.0 architecture, AMD’s compute-focused design, while the RTX 5050 uses Blackwell 2.0, NVIDIA’s consumer gaming architecture. The MI350X is built on a 3 nm process at TSMC, while the RTX 5050 uses a 5 nm process, also at TSMC. The MI350X packs 185,000 million transistors on a die size of 2,380 mm², yielding a transistor density of 77.7 million per square millimeter. The RTX 5050 contains 16,900 million transistors on a 149 mm² die, giving it a much higher density of 113.4 million per square millimeter.

The MI350X’s chip is labeled MI350 256CU, referencing 256 compute units. Its shading unit count is 16,384, with 1,024 texture mapping units and zero ROPs. The RTX 5050 uses the GB207 chip with 2,560 shading units, 80 TMUs, and 32 ROPs. The MI350X has no RT cores and no tensor cores listed, while the RTX 5050 includes 20 RT cores and 80 tensor cores. The MI350X reports a pixel rate of zero MPixel/s, consistent with a compute accelerator that has no display output, while the RTX 5050 achieves 82.30 GPixel/s.

Memory architecture diverges completely. The MI350X uses 288 GB of HBM3e memory on an 8,192-bit bus, delivering 8.19 TB/s of bandwidth. The RTX 5050 uses 8 GB of GDDR6 on a 128-bit bus, with 320.0 GB/s of bandwidth. Clock speeds also differ: the MI350X runs at 1000 MHz base and 2200 MHz boost, while the RTX 5050 runs at 2317 MHz base and 2572 MHz boost. The MI350X’s memory clock is 2000 MHz with 8 Gbps effective, while the RTX 5050’s memory clock is 2500 MHz with 20 Gbps effective.

The MI350X supports no graphics APIs, listing DirectX, OpenGL, and Vulkan all as N/A. The RTX 5050 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI350X has no display outputs, while the RTX 5050 offers one HDMI 2.1b and three DisplayPort 2.1b connections. Power requirements reflect their different roles: the MI350X has a TDP of 1000 W with no power connectors, suggesting an OAM module powered through its slot, and a suggested PSU of 1400 W. The RTX 5050 has a TDP of 130 W, uses one 8-pin power connector, and requires a 300 W PSU.

FAQ

Q: Which GPU has more shading units?

A: The AMD Instinct MI350X has 16,384 shading units, while the NVIDIA GeForce RTX 5050 has 2,560.

Q: What is the memory bandwidth difference?

A: The MI350X delivers 8.19 TB/s over an 8,192-bit HBM3e interface, while the RTX 5050 provides 320.0 GB/s over a 128-bit GDDR6 interface, a roughly 25-fold difference in bandwidth.

Q: Does the MI350X support DirectX or Vulkan?

A: No. The MI350X lists DirectX, OpenGL, and Vulkan all as N/A, and it has no display outputs. The RTX 5050 supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4.

Q: How do their benchmark scores compare?

A: The RTX 5050 has an average benchmark score of 21,035 across ten tests, including 90,334 in Geekbench OpenCL and 17,326 in Passmark G3D. The MI350X has no benchmark scores, so its average is zero.

Q: What are the power requirements for each card?

A: The MI350X has a 1000 W TDP and suggests a 1400 W PSU, with no power connectors listed. The RTX 5050 has a 130 W TDP, uses one 8-pin connector, and suggests a 300 W PSU.

Q: Which GPU is larger in terms of die size?

A: The MI350X has a die size of 2,380 mm², compared to 149 mm² for the RTX 5050, though the RTX 5050 has a higher transistor density at 113.4 million per square millimeter versus 77.7 million for the MI350X.

Specification Differences

The two GPUs differ in nearly every specification field recorded in the database. The MI350X uses a 3 nm process, while the RTX 5050 uses 5 nm. Transistor count stands at 185,000 million for the MI350X versus 16,900 million for the RTX 5050. Die size measures 2,380 mm² for the MI350X and 149 mm² for the RTX 5050. Transistor density favors the RTX 5050 at 113.4 million per square millimeter, compared to 77.7 million for the MI350X.

Clock speeds: the MI350X has a 1000 MHz base and 2200 MHz boost, while the RTX 5050 has a 2317 MHz base and 2572 MHz boost. Memory clock is 2000 MHz (8 Gbps effective) for the MI350X and 2500 MHz (20 Gbps effective) for the RTX 5050. Memory size is 288 GB of HBM3e for the MI350X versus 8 GB of GDDR6 for the RTX 5050. Bus width is 8,192 bit for the MI350X and 128 bit for the RTX 5050. Bandwidth is 8.19 TB/s versus 320.0 GB/s.

Shading units: 16,384 for the MI350X, 2,560 for the RTX 5050. TMUs: 1,024 versus 80. ROPs: 0 versus 32. RT cores: none listed for the MI350X, 20 for the RTX 5050. Tensor cores: none listed for the MI350X, 80 for the RTX 5050. Pixel rate is 0 MPixel/s for the MI350X and 82.30 GPixel/s for the RTX 5050. Texture rate is 2,252.8 GTexel/s for the MI350X and 205.8 GTexel/s for the RTX 5050. FP32 performance is 72.09 TFLOPS for the MI350X and 13.17 TFLOPS for the RTX 5050. FP16 matches FP32 at 72.09 TFLOPS for the MI350X and 13.17 TFLOPS for the RTX 5050.

TDP is 1000 W for the MI350X and 130 W for the RTX 5050. Slot width is OAM Module for the MI350X and Dual-slot for the RTX 5050. Power connectors: none for the MI350X, one 8-pin for the RTX 5050. Suggested PSU is 1400 W versus 300 W. Bus interface is PCIe 5.0 x16 for the MI350X and PCIe 5.0 x8 for the RTX 5050. Display outputs: none for the MI350X, one HDMI 2.1b and three DisplayPort 2.1b for the RTX 5050. API support differs entirely, with the MI350X listing N/A for all and the RTX 5050 listing DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. Dimensions: the MI350X measures 102 mm in length and 165 mm in width, while the RTX 5050 has no recorded dimensions.

Head-to-Head Benchmarks

The database lists no head-to-head benchmark runs between the MI350X and RTX 5050. The wins counter shows zero for both cards. However, the RTX 5050’s individual benchmark scores provide the only performance data in this comparison, and they reveal its capabilities across multiple test suites.

In Geekbench OpenCL, the RTX 5050 scores 90,334, which is its highest recorded result. Geekbench Vulkan follows at 89,381. These two scores dominate its profile, indicating strong compute throughput in cross-platform APIs. The gap between OpenCL and Vulkan scores is 953 points, a small margin that suggests consistent performance across different compute frameworks.

Passmark tests show a different pattern. The G3D score of 17,326 far exceeds the DirectX-specific scores, which range from 66 in DirectX 12 to 186 in DirectX 9. Passmark G2D scores 1,113, and Passmark GPU Compute scores 9,184. The 3DMark Steel Nomad DX12 test records 2,502 points. The DirectX 12 score of 66 is the lowest in the lineup, indicating that this card performs better in older DirectX versions or in compute-oriented workloads than in the latest graphics API.

Comparing the RTX 5050 to its nearest rivals in the database provides context for its average score of 21,035. The AMD Radeon RX Vega M GL has an average score of 21,153, which is 0.6% lower than the RTX 5050. The AMD Radeon HD 8970M averages 21,237, also 1% lower. The AMD Radeon RX 5600 XT scores 20,713, which is 1.6% higher than the RTX 5050. The NVIDIA RTX A4000 Mobile averages 21,379, 1.6% lower. These deltas are all within a narrow band of roughly 2%, placing the RTX 5050 in a competitive middle position among its closest peers.

The MI350X has no benchmark scores, so there is no measured data to compare against the RTX 5050’s recorded results. Its 50th percentile rank among all GPUs reflects the absence of any benchmark entries, not a measured performance level. The RTX 5050’s 66th percentile rank, by contrast, comes from actual test data. The database shows that the RTX 5050 outperforms the MI350X in every measurable aspect, but this conclusion is limited to the metrics that exist. The MI350X’s specifications, such as 72.09 TFLOPS FP32 and 8.19 TB/s bandwidth, indicate a far higher theoretical compute ceiling, but without benchmark results, those numbers cannot be validated against the RTX 5050’s scores.