AMD Instinct MI350X vs NVIDIA GeForce RTX 3050 A Mobile Comparison
AMD Instinct MI350X
GeForce RTX 3050 A Mobile
PERFORMANCE BENCHMARKS
Analysis: AMD Instinct MI350X vs NVIDIA GeForce RTX 3050 A Mobile
Head-to-Head Benchmarks
The AMD Instinct MI350X and the NVIDIA GeForce RTX 3050 A Mobile occupy entirely different segments of the GPU market, and the recorded data reflects this divide clearly. The most direct comparison available comes from their raw compute specifications, as the database contains no shared benchmark scores for these two products. The Instinct MI350X delivers 72.09 TFLOPS of FP32 performance, while the RTX 3050 A Mobile delivers 4.813 TFLOPS. This represents a 14.97x advantage for the AMD part in single-precision throughput, a gap that dwarfs any other difference between the two.
The memory subsystem amplifies this disparity. The MI350X carries 288 GB of HBM3e memory across an 8192-bit bus, producing 8.19 TB/s of bandwidth. The RTX 3050 A Mobile uses 4 GB of GDDR6 on a 128-bit bus, yielding 192.0 GB/s. The AMD accelerator's bandwidth is 42.66x higher, and its memory capacity is 72x greater. These are not incremental differences; they represent different product categories entirely.
Texture processing follows the same pattern. The MI350X has 1024 texture mapping units and a texture rate of 2,252.8 GTexel/s. The RTX 3050 A Mobile has 56 TMUs and a texture rate of 75.21 GTexel/s. The AMD part processes textures 29.95x faster. Pixel throughput is where the comparison becomes unusual: the MI350X reports 0 MPixel/s because it has no ROPs, while the RTX 3050 A Mobile reports 42.98 GPixel/s from its 32 ROPs. This is the only major specification where the NVIDIA part shows a clear, unqualified advantage.
The RTX 3050 A Mobile has recorded benchmark results in the database, with an average score of 8746 across its tests. Its best individual result is 11664 in PassMark G3D, followed by 52998 in Geekbench OpenCL. Its percentile ranking sits at 44, placing it just below the median of all GPUs tracked. The MI350X, by contrast, has no recorded benchmark scores and a percentile ranking of 50, with an average score of 0 in the database. This absence of direct measurements means the comparison relies entirely on architectural and specification data.
Where Each One Wins
The NVIDIA GeForce RTX 3050 A Mobile wins in any scenario that requires display output, standard graphics API support, or conventional rendering pipelines. It provides 14 RT cores and 56 tensor cores, supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. It has 32 ROPs for pixel processing, a feature the MI350X entirely lacks. For gaming, desktop rendering, or any workload that ends with pixels on a screen, the RTX 3050 A Mobile is the functional choice. Its 45 W TDP also makes it suitable for portable devices, as its form factor is listed as IGP (integrated graphics processor) and it requires no power connectors.
The AMD Instinct MI350X wins in every compute-heavy metric recorded. Its 16384 shading units, 72.09 TFLOPS FP32, and 72.09 TFLOPS FP16 (1:1) performance target massive parallel workloads. The 288 GB HBM3e memory pool with 8.19 TB/s bandwidth is designed for data sets that dwarf the 4 GB capacity of the RTX 3050 A Mobile. The MI350X has no display outputs, no ROPs, and no graphics API support, confirming its role as an accelerator for server, datacenter, and AI workloads rather than a rendering device.
The FP16 performance is particularly relevant for AI inference and training. Both parts deliver FP16 at a 1:1 ratio with FP32, but the MI350X's absolute FP16 throughput of 72.09 TFLOPS is 14.97x the RTX 3050 A Mobile's 4.813 TFLOPS. For tensor-heavy operations, the RTX 3050 A Mobile has 56 tensor cores, but the MI350X's raw shader throughput and memory bandwidth would dominate in practice. The RTX 3050 A Mobile's tensor cores provide a specialized path, but the MI350X's sheer scale makes that advantage moot.
Architecture Differences
The AMD Instinct MI350X uses the CDNA 4.0 architecture, built on a 3 nm process at TSMC. It incorporates 185,000 million transistors on a 2380 mm² die, yielding a transistor density of 77.7M per mm². The chip is designated MI350 256CU, indicating 256 compute units. This is a data-center-focused architecture with no display engine, no graphics API support, and a form factor of OAM Module (Open Accelerator Module). The power delivery relies on an external 1400 W suggested power supply, with the card itself drawing up to 1000 W TDP.
The NVIDIA GeForce RTX 3050 A Mobile uses the Ampere architecture, built on an 8 nm process at Samsung. It has 12,000 million transistors on a 276 mm² die, with a transistor density of 43.5M per mm². The chip is GA106, a mainstream mobile GPU design. This architecture includes dedicated RT cores for ray tracing, tensor cores for AI acceleration, and full support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. It is designed as an integrated graphics processor (IGP) for portable devices, consuming 45 W TDP with no external power connectors required.
The process node difference is substantial: 3 nm versus 8 nm. The MI350X achieves 1.79x higher transistor density than the RTX 3050 A Mobile (77.7M vs 43.5M per mm²), despite its much larger die. The transistor count difference is even more extreme: 185,000 million versus 12,000 million, a 15.42x gap. These architectural choices reflect divergent goals: the MI350X maximizes compute density and memory bandwidth for datacenter acceleration, while the RTX 3050 A Mobile balances performance with power efficiency and portability.
The MI350X's lack of ROPs and display outputs is a defining architectural feature. It cannot render frames to a screen. The RTX 3050 A Mobile has 32 ROPs and outputs that are "Portable Device Dependent," meaning the laptop manufacturer determines the actual display connections. The MI350X's API support is listed as N/A for DirectX, OpenGL, and Vulkan, confirming it is not intended for graphics rendering in any traditional sense.
Specification Differences
The recorded specifications show these key differences between the AMD Instinct MI350X and the NVIDIA GeForce RTX 3050 A Mobile:
- Process node: 3 nm (TSMC) versus 8 nm (Samsung)
- Transistors: 185,000 million versus 12,000 million
- Die size: 2380 mm² versus 276 mm²
- Base clock: 1000 MHz versus 1065 MHz
- Boost clock: 2200 MHz versus 1343 MHz
- Memory clock: 2000 MHz (8 Gbps effective) versus 1500 MHz (12 Gbps effective)
- Memory size: 288 GB HBM3e versus 4 GB GDDR6
- Memory bus width: 8192 bit versus 128 bit
- Memory bandwidth: 8.19 TB/s versus 192.0 GB/s
- Shading units: 16384 versus 1792
- Texture mapping units: 1024 versus 56
- ROPs: 0 versus 32
- RT cores: N/A versus 14
- Tensor cores: N/A versus 56
- Pixel rate: 0 MPixel/s versus 42.98 GPixel/s
- Texture rate: 2,252.8 GTexel/s versus 75.21 GTexel/s
- FP32 performance: 72.09 TFLOPS versus 4.813 TFLOPS
- FP16 performance: 72.09 TFLOPS versus 4.813 TFLOPS
- TDP: 1000 W versus 45 W
- Bus interface: PCIe 5.0 x16 versus PCIe 4.0 x8
- Release date: 2025-06-11 versus 2023-12-31
The production status differs as well: the MI350X has no recorded status, while the RTX 3050 A Mobile is listed as end-of-life. The predecessor for the MI350X is Radeon Instinct, and for the RTX 3050 A Mobile it is GeForce 20 Mobile. Neither has a listed successor.
The RTX 3050 A Mobile has a higher base clock (1065 MHz vs 1000 MHz) and a higher effective memory clock (12 Gbps vs 8 Gbps), but these advantages are overwhelmed by the MI350X's massive architectural scale. The MI350X's boost clock of 2200 MHz is 1.64x higher than the RTX 3050 A Mobile's 1343 MHz.
FAQ
Q: Which GPU has higher FP32 compute performance?
A: The AMD Instinct MI350X delivers 72.09 TFLOPS FP32, which is 14.97x the 4.813 TFLOPS of the NVIDIA GeForce RTX 3050 A Mobile.
Q: How do their memory capacities compare?
A: The MI350X has 288 GB of HBM3e memory, while the RTX 3050 A Mobile has 4 GB of GDDR6. The AMD part provides 72x more memory capacity.
Q: Does the MI350X support DirectX or Vulkan?
A: No. The MI350X lists DirectX, OpenGL, and Vulkan support as N/A. The RTX 3050 A Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
Q: What is the power consumption difference?
A: The MI350X has a TDP of 1000 W and requires a 1400 W suggested power supply. The RTX 3050 A Mobile has a TDP of 45 W and lists no power supply requirement.
Q: Which GPU has ray tracing capability?
A: The RTX 3050 A Mobile has 14 RT cores. The MI350X lists no RT cores, consistent with its lack of graphics API support.
Q: What are their recorded benchmark scores?
A: The RTX 3050 A Mobile has an average benchmark score of 8746, with a PassMark G3D score of 11664 and a Geekbench OpenCL score of 52998. The MI350X has no recorded benchmark scores and an average score of 0 in the database.
The Verdict
The data describes two products with no functional overlap. The AMD Instinct MI350X is a datacenter accelerator with 72.09 TFLOPS FP32, 288 GB HBM3e memory, 8.19 TB/s bandwidth, and 16384 shading units. It has no display outputs, no ROPs, no graphics API support, and a 1000 W TDP. The NVIDIA GeForce RTX 3050 A Mobile is a mobile graphics processor with 4.813 TFLOPS FP32, 4 GB GDDR6, 192.0 GB/s bandwidth, 1792 shading units, 14 RT cores, 56 tensor cores, and 32 ROPs. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and consumes 45 W.
The RTX 3050 A Mobile is the only choice for any application requiring rendering, display output, or graphics API compatibility. Its 52998 Geekbench OpenCL score and 11664 PassMark G3D score confirm it has measurable graphics performance. Its percentile ranking of 44 places it just below the median of all tracked GPUs, and its nearest rivals include the NVIDIA GeForce GTX 460 v2 (avg score 8743, 0% delta) and the AMD Radeon R9 M265X (avg score 8851, -1.2% delta).
The MI350X, with no benchmarks and a percentile of 50, cannot be ranked by measured performance. Its specification sheet indicates compute capability that exceeds the RTX 3050 A Mobile by roughly 15x in FP32 and FP16, with memory bandwidth over 42x higher. For anyone running large-scale compute workloads such as AI training, scientific simulation, or data processing, the MI350X's architecture is designed for that purpose. For anyone needing a functional GPU in a portable device, the RTX 3050 A Mobile is the only viable option between these two. The choice is not about which is better; it is about which matches the workload. The RTX 3050 A Mobile is end-of-life, while the MI350X has a 2025 release date, but both serve their respective segments according to the recorded data.