AMD Instinct MI300 vs NVIDIA GeForce RTX 4050 Mobile Comparison

Where Each One Wins

The recorded data positions these two accelerators in entirely separate performance classes, with the AMD Instinct MI300 holding a decisive advantage in raw compute throughput and the NVIDIA GeForce RTX 4050 Mobile delivering functionality that the MI300 lacks entirely. The MI300 produces 47.87 TFLOPS of FP32 and FP16 compute, while the RTX 4050 Mobile delivers 8.986 TFLOPS in both precisions. That represents a 5.3x advantage for the AMD part in peak floating-point throughput, a gap that defines every compute-bound workload.

The MI300 also dominates in memory bandwidth with 5.32 TB/s versus 192.0 GB/s for the RTX 4050 Mobile, a factor of 27.7x. This bandwidth advantage matters for large data sets, matrix operations, and any workload that streams through memory faster than the compute units can consume. The RTX 4050 Mobile cannot approach this level of memory throughput, and its 128 GB versus 6 GB capacity differential means the MI300 can hold entire model weights or data sets on-die without host memory spills.

The RTX 4050 Mobile wins in areas where the MI300 has no presence. The NVIDIA part supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the MI300 reports N/A for all three APIs. The MI300 has no display outputs, making it unusable for any graphics output task. The RTX 4050 Mobile features 20 ray tracing cores and 80 tensor cores, while the MI300 lists no such hardware. The RTX 4050 Mobile also has a pixel rate of 84.24 GPixel/s, while the MI300 records 0 MPixel/s.

For rasterization and graphics workloads, the RTX 4050 Mobile is the only viable option between the two. The MI300 is a compute accelerator with no graphics pipeline. For AI training, scientific simulation, or any memory-bandwidth-intensive compute, the MI300 provides capabilities the RTX 4050 Mobile cannot match. The data shows a clean split: compute density and memory scale belong to the MI300, graphics and API compatibility belong to the RTX 4050 Mobile.

Architecture Differences

The two chips come from different architectural lineages. The MI300 uses CDNA 3.0 architecture on the Aqua Vanjaram chip, designed specifically for compute workloads. The RTX 4050 Mobile uses Ada Lovelace architecture on the AD107 chip, built for graphics and mobile performance. Both are fabricated on a 5 nm process at TSMC, but the similarities end there.

The MI300 packs 153,000 million transistors on a 1017 mm² die, resulting in a transistor density of 150.4 million per square millimeter. The RTX 4050 Mobile contains 18,900 million transistors on a 159 mm² die, with a density of 118.9 million per square millimeter. The MI300 has 14,080 shading units and 880 texture mapping units, while the RTX 4050 Mobile has 2,560 shading units, 80 TMUs, and 48 ROPs. The MI300 lists 0 ROPs, consistent with its compute-only role.

Memory architecture differs fundamentally. The MI300 uses 128 GB of HBM3 on a 8192-bit bus, while the RTX 4050 Mobile uses 6 GB of GDDR6 on a 96-bit bus. The MI300 memory clock runs at 1300 MHz with 5.2 Gbps effective, while the RTX 4050 Mobile memory clock runs at 2000 MHz with 16 Gbps effective. The MI300's 8192-bit bus width is the key enabler of its 5.32 TB/s bandwidth.

The MI300 has no ray tracing cores and no tensor cores. The RTX 4050 Mobile includes 20 RT cores and 80 tensor cores, hardware units that accelerate ray tracing and AI inference respectively. The MI300's compute model relies entirely on its shading units and massive memory subsystem.

Clock speeds differ as well. The MI300 runs at a base clock of 1000 MHz with a boost of 1700 MHz. The RTX 4050 Mobile runs at a base clock of 1455 MHz with a boost of 1755 MHz. The RTX 4050 Mobile achieves higher clocks on a much smaller die, while the MI300 compensates with far more parallel hardware.

Power and physical design diverge completely. The MI300 has a TDP of 600 W, requires 2x 8-pin power connectors, and suggests a 1000 W PSU. The RTX 4050 Mobile has a TDP of 50 W, uses no external power connectors, and is classified as an integrated graphics package (IGP). The MI300 measures 267 mm by 111 mm, while the RTX 4050 Mobile has no recorded dimensions.

The MI300 uses PCIe 5.0 x16, while the RTX 4050 Mobile uses PCIe 4.0 x8. The MI300 has no display outputs; the RTX 4050 Mobile's outputs are portable device dependent. The RTX 4050 Mobile is listed as Active in production, while the MI300 has no recorded production status.

FAQ

Q: Which GPU has higher FP32 compute throughput?

A: The AMD Instinct MI300 delivers 47.87 TFLOPS of FP32 compute, while the NVIDIA GeForce RTX 4050 Mobile delivers 8.986 TFLOPS. The MI300 is 5.3x faster in peak FP32 throughput.

Q: How do the memory capacities compare?

A: The MI300 has 128 GB of HBM3 memory, while the RTX 4050 Mobile has 6 GB of GDDR6. The MI300 also has a much wider 8192-bit memory bus versus 96-bit, yielding 5.32 TB/s bandwidth versus 192.0 GB/s.

Q: Does the MI300 support ray tracing?

A: No. The MI300 lists no ray tracing cores and no RT core count. The RTX 4050 Mobile includes 20 ray tracing cores.

Q: Which GPU supports DirectX?

A: Only the RTX 4050 Mobile supports DirectX 12 Ultimate (12_2). The MI300 reports N/A for DirectX, OpenGL, and Vulkan support, and has no display outputs.

Q: What is the power consumption difference?

A: The MI300 has a TDP of 600 W and requires 2x 8-pin power connectors with a suggested 1000 W PSU. The RTX 4050 Mobile has a TDP of 50 W and uses no external power connectors.

Q: Which GPU has a higher transistor count?

A: The MI300 contains 153,000 million transistors on a 1017 mm² die. The RTX 4050 Mobile contains 18,900 million transistors on a 159 mm² die. The MI300 has 8.1x more transistors.

Specification Differences

The two devices differ in nearly every measurable specification. The MI300 uses CDNA 3.0 architecture on the Aqua Vanjaram chip, while the RTX 4050 Mobile uses Ada Lovelace architecture on the AD107 chip. Both use 5 nm process technology from TSMC.

Transistor count: the MI300 has 153,000 million, the RTX 4050 Mobile has 18,900 million. Die size: 1017 mm² versus 159 mm². Transistor density: 150.4M per mm² versus 118.9M per mm².

Clock speeds: the MI300 runs at 1000 MHz base and 1700 MHz boost. The RTX 4050 Mobile runs at 1455 MHz base and 1755 MHz boost. Memory clocks differ as well: 1300 MHz with 5.2 Gbps effective for the MI300, 2000 MHz with 16 Gbps effective for the RTX 4050 Mobile.

Memory: 128 GB HBM3 versus 6 GB GDDR6. Bus width: 8192 bit versus 96 bit. Bandwidth: 5.32 TB/s versus 192.0 GB/s.

Shading units: 14,080 versus 2,560. TMUs: 880 versus 80. ROPs: 0 versus 48. RT cores: none versus 20. Tensor cores: none versus 80.

Pixel rate: 0 MPixel/s versus 84.24 GPixel/s. Texture rate: 1,496.0 GTexel/s versus 140.4 GTexel/s.

FP32 and FP16: 47.87 TFLOPS for the MI300, 8.986 TFLOPS for the RTX 4050 Mobile. Both run FP16 at 1:1 ratio with FP32.

TDP: 600 W versus 50 W. Power connectors: 2x 8-pin versus none. Suggested PSU: 1000 W versus none recorded.

Bus interface: PCIe 5.0 x16 versus PCIe 4.0 x8. Display outputs: none versus portable device dependent.

API support: the MI300 reports N/A for DirectX, OpenGL, and Vulkan. The RTX 4050 Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Dimensions: the MI300 measures 267 mm by 111 mm. The RTX 4050 Mobile has no recorded length or height, and is classified as IGP slot width.

Release dates: the MI300 was released on January 3, 2023. The RTX 4050 Mobile was released on January 2, 2023, one day earlier.

Predecessors: the MI300 succeeds Radeon Instinct, while the RTX 4050 Mobile succeeds GeForce 30 Mobile. The RTX 4050 Mobile has a successor listed as GeForce 50 Mobile, while the MI300 has none recorded.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between the MI300 and the RTX 4050 Mobile. The MI300 has no recorded benchmarks, an average benchmark score of 0, and a percentile ranking of 50 against all GPUs. The RTX 4050 Mobile, by contrast, has nine recorded benchmark scores.

The RTX 4050 Mobile achieves its highest scores in Geekbench tests: 74,748 in Geekbench OpenCL and 75,235 in Geekbench Vulkan. Its Passmark G3D score is 14,423, and its Passmark GPU Compute score is 5,947. The Passmark DirectX tests show 79 for DirectX 10, 130 for DirectX 11, 61 for DirectX 12, and 184 for DirectX 9. The Passmark G2D score is 633.

The RTX 4050 Mobile's average benchmark score is 19,049, placing it at the 63rd percentile of all GPUs. Its nearest rivals in the database are the AMD Radeon RX 6600 with an average score of 19,036 and a delta of 0.1 percent, the NVIDIA Quadro K6000 with 19,030 and a 0.1 percent delta, the NVIDIA Tesla K20m with 19,089 and a -0.2 percent delta, and the NVIDIA RTX 2000 Ada Generation with 18,954 and a 0.5 percent delta. These deltas are all within one percent, indicating that the RTX 4050 Mobile sits in a tightly clustered performance band.

The MI300 has no nearest rivals listed and no benchmark scores to compare. Its percentile of 50 with zero recorded benchmarks reflects a lack of test data rather than actual performance. The compute specifications suggest it would dominate the RTX 4050 Mobile in any compute benchmark, but no recorded measurements confirm this. The 47.87 TFLOPS FP32 figure versus 8.986 TFLOPS and the 5.32 TB/s versus 192.0 GB/s bandwidth differential provide the only quantitative basis for comparison.

The RTX 4050 Mobile's benchmark scores cluster around the 19,000 mark, with its nearest rivals all within 0.5 percent. The Tesla K20m sits slightly above it at 19,089, while the RTX 2000 Ada Generation sits slightly below at 18,954. This positioning indicates the RTX 4050 Mobile delivers performance consistent with mid-range desktop GPUs from the same era, despite its mobile form factor and 50 W TDP.

Without MI300 benchmark data, the head-to-head comparison relies on specification analysis. The MI300's FP32 throughput is 5.3x higher, its memory bandwidth is 27.7x higher, and its transistor count is 8.1x higher. The RTX 4050 Mobile counters with ray tracing hardware, tensor cores, graphics APIs, and display outputs, none of which appear in the MI300's specification sheet. The data confirms they serve different markets with minimal overlap in functionality.