AMD Radeon Instinct MI300X vs NVIDIA GeForce RTX 5050 Mobile

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA GeForce RTX 5050 Mobile with 8 GB GDDR7 and 2,560 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI300X

AMD Radeon Instinct MI300X

RX 7900 XTX RX 7900 XTX
Instinct MI300X Instinct MI300X
MI250 MI250

NVIDIA GeForce RTX 5050 Mobile

NVIDIA GeForce RTX 5050 Mobile

Contents:

Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks Additional

Memory

Memory Size

192 GB 8 GB

Memory Type

HBM3 GDDR7

Memory Bandwidth

10.3 TB/s 384.0 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 9.216 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 9.216 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 0.144 TFLOPS

CUDA Cores

19,456 2,560

RT Cores

No 20

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 20

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

1,000 1,567

Boost Clock

2,100 1,800

Memory Clock

2,525 1,500

Power Consumption

TDP/TGP

750 W
🔥 -93% 55 W

Recommended PSU

1150 W No

Power Connector

None None

Rendering

Texture Units (TMU)

1,216 80

ROP

No 20

L2 Cache

16 MB 32 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

1 983 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

1 740 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 057 tokens/s

MLPerf, llama3.1-405b (UNSET)

30.4 tokens/s

MLPerf, llama3.1-405b (fp16)

34.8 tokens/s

llama.cpp, llama-2-7b-Q4_0

232.9 tokens/s

MLPerf, mixtral-8x7b (fp8)

5 975 tokens/s

Additional

Slots

OAM Module IGP

Release Date

Dec. 6, 2023 June 24, 2025

Display Outputs

No outputs
Portable Device Dependent

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