AMD Radeon Instinct MI325X vs NVIDIA GeForce RTX 5080 Mobile

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs NVIDIA GeForce RTX 5080 Mobile with 16 GB GDDR7 and 7,680 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 5080 Mobile

NVIDIA GeForce RTX 5080 Mobile

Contents:

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

Memory

Memory Size

🔥 +1,700% 288 ГБ
16 GB

Memory Type

HBM3e GDDR7

Memory Bandwidth

🔥 10.3 TB/s
896.0 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +2,492% 653.7 TFLOPS
25.22 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +224% 81.72 TFLOPS
25.22 TFLOPS

FP64 (Double Precision)

🔥 +20,636% 81.72 TFLOPS
0.3941 TFLOPS

CUDA Cores

🔥 +153% 19,456
7,680

RT Cores

No 60

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 60

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

🔥 1,000
1,192

Boost Clock

🔥 +28% 2,100
1,642

Memory Clock

🔥 +44% 2,525
1,750

Power Consumption

TDP/TGP

1000 W
🔥 -92% 80 W

Recommended PSU

1400 W No

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +407% 1,216
240

ROP

No 60

L2 Cache

🔥 16 MB
64 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 April 2, 2025

Display Outputs

No outputs
Portable Device Dependent

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