AMD Radeon Instinct MI250 vs NVIDIA GeForce GTX 980M

Comparison AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 cores vs NVIDIA GeForce GTX 980M with 8 GB GDDR5 and 1,536 cores.

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Performance Rating

AMD Radeon Instinct MI250 outperforms NVIDIA GeForce GTX 980M by 1,510.44% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI250

50.9

AMD Radeon Instinct MI250

50.9
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA GeForce GTX 980M

3.2

NVIDIA GeForce GTX 980M

3.2

Expert Comparison

AMD Radeon Instinct MI250 значительно превосходит NVIDIA GeForce GTX 980M в мощности и производительности. MI250 имеет гораздо больше ядер, больше памяти (128 ГБ против 8 ГБ), большую шину (8192 бит против 256 бит) и более высокую пропускную способность (3.28 ТБ/с против 160.4 ГБ/с). MI250 предназначена для вычислительных задач и AI, в то время как GTX 980M больше подходит для игровых и базовых графических задач.

Contents:

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

Memory

Memory Size

🔥 +1,500% 128 ГБ
8 GB

Memory Type

HBM2e GDDR5

Memory Bandwidth

🔥 3.28 TB/s
160.4 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 362.1 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,207% 45.26 TFLOPS
3.462 TFLOPS

FP64 (Double Precision)

🔥 +41,730% 45.26 TFLOPS
0.1082 TFLOPS

CUDA Cores

🔥 +767% 13,312
1,536

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 2.0 Maxwell 2.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 4.0 x16 MXM-B (3.0)

ML Software Support

CUDA Version

No 5.2

CUDA Toolkit (first supported)

v6

CUDA Toolkit (deprecated)

v12

CUDA Toolkit (support removed)

v13

CUDA Toolkit status

Supported Removed

Clocks & Performance

Base Clock

🔥 1,000
1,038

Boost Clock

🔥 +51% 1,700
1,127

Memory Clock

🔥 +28% 1,600
1,253

Power Consumption

Recommended PSU

900 W No

Power Connector

2x 8-pin None

TDP/TGP

500 W unknown

Rendering

Texture Units (TMU)

🔥 +767% 832
96

ROP

No No

L2 Cache

🔥 +700% 16 MB
2 MB

Benchmarks

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

63.9 tokens/s

Additional

Slots

Dual-slot MXM Module

Release Date

Nov. 8, 2021 Oct. 7, 2014

Display Outputs

No outputs
Portable Device Dependent

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