AMD Radeon Instinct MI325X vs NVIDIA Quadro T1200 Mobile

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs NVIDIA Quadro T1200 Mobile with 4 GB GDDR6 and 1,024 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms NVIDIA Quadro T1200 Mobile by 3,421.13% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

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

NVIDIA Quadro T1200 Mobile

2.8

NVIDIA Quadro T1200 Mobile

2.8

Expert Comparison

AMD Radeon Instinct MI325X значительно выигрывает по мощности и производительности благодаря большему количеству ядер (19456 против 1024), объему памяти (288 ГБ HBM3e против 4 ГБ GDDR6) и пропускной способности (10.3 TB/s против 192.0 GB/s). Она предназначена для высокопроизводительных вычислений и машинного обучения. NVIDIA Quadro T1200 Mobile более энергоэффективный и подходящий для мобильных решений или небольших рабочих нагрузок, хотя его производительность гораздо ниже.

Contents:

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

Memory

Memory Size

🔥 +7,100% 288 ГБ
4 GB

Memory Type

HBM3e GDDR6

Memory Bandwidth

🔥 10.3 TB/s
192.0 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 +8,841% 653.7 TFLOPS
7.311 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +2,135% 81.72 TFLOPS
3.656 TFLOPS

FP64 (Double Precision)

🔥 +71,459% 81.72 TFLOPS
0.1142 TFLOPS

CUDA Cores

🔥 +1,800% 19,456
1,024

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Turing

SM (Streaming Multiprocessor)

No
🔥 16

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No 7.5

Clocks & Performance

Base Clock

1,000
🔥 +52% 1,515

Boost Clock

🔥 +18% 2,100
1,785

Memory Clock

🔥 +68% 2,525
1,500

Power Consumption

Recommended PSU

1400 W No

Power Connector

None None

TDP/TGP

1000 W
🔥 -98% 18 W

Rendering

Texture Units (TMU)

🔥 +1,800% 1,216
64

ROP

No No

L2 Cache

🔥 16 MB
1024 KB

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. 12, 2024 April 12, 2021

Display Outputs

No outputs
Portable Device Dependent

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