AMD Radeon Instinct MI325X vs NVIDIA GeForce RTX 5060 Mobile

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs NVIDIA GeForce RTX 5060 Mobile with 8 GB GDDR7 and 3,328 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0
MI250 MI250
Instinct MI300X Instinct MI300X
RX 7900 XTX RX 7900 XTX

NVIDIA GeForce RTX 5060 Mobile

NVIDIA GeForce RTX 5060 Mobile

Contents:

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

Memory

Memory Size

🔥 +3,500% 288 ГБ
8 GB

Memory Type

HBM3e GDDR7

Memory Bandwidth

🔥 10.3 TB/s
384.0 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 +6,514% 653.7 TFLOPS
9.884 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +727% 81.72 TFLOPS
9.884 TFLOPS

FP64 (Double Precision)

🔥 +52,827% 81.72 TFLOPS
0.1544 TFLOPS

CUDA Cores

🔥 +485% 19,456
3,328

RT Cores

No 26

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 26

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

🔥 1,000
1,020

Boost Clock

🔥 +41% 2,100
1,485

Memory Clock

🔥 +68% 2,525
1,500

Power Consumption

TDP/TGP

1000 W
🔥 -96% 45 W

Recommended PSU

1400 W No

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +1,069% 1,216
104

ROP

No 26

L2 Cache

🔥 16 MB
32 MB

Benchmarks

MLPerf, llama2-70b-99.9 (Dummy)

3 596 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 946 tokens/s

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

22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s

Additional

Slots

OAM Module IGP

Release Date

Oct. 15, 2024 May 20, 2025

Display Outputs

No outputs
Portable Device Dependent

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