AMD Radeon Instinct MI300X vs AMD Radeon R5 M315

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon R5 M315 with 2 GB DDR3 and 384 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms AMD Radeon R5 M315 by 15,849.15% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI300X

94.1

AMD Radeon Instinct MI300X

94.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

AMD Radeon R5 M315

0.6

AMD Radeon R5 M315

0.6

Expert Comparison

AMD Radeon Instinct MI300X гораздо мощнее AMD Radeon R5 M315. MI300X с 192 ГБ HBM3 памяти и 81.72 TFLOPS FP32 выдаёт пропускную способность 10.3 TB/s, что в десятки раз превосходит R5 M315 с 2 ГБ DDR3 и 0.745 TFLOPS. MI300X предназначена для вычислений и машинного обучения, в то время как R5 M315 подходит для базовых задач графики и офисных приложений.

Contents:

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

Memory

Memory Size

🔥 +9,500% 192 ГБ
2 GB

Memory Type

HBM3 DDR3

Memory Bandwidth

🔥 10.3 TB/s
14.40 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 +87,645% 653.7 TFLOPS
0.745 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +10,869% 81.72 TFLOPS
0.745 TFLOPS

FP64 (Double Precision)

🔥 +175,265% 81.72 TFLOPS
0.0466 TFLOPS

CUDA Cores

🔥 +4,967% 19,456
384

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 GCN 3.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x8

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 +181% 2,525
900

Power Consumption

Recommended PSU

1150 W No

Power Connector

None No

TDP/TGP

750 W No

Rendering

Texture Units (TMU)

🔥 +4,967% 1,216
24

ROP

No No

L2 Cache

🔥 16 MB
128 KB

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 No

Release Date

Dec. 6, 2023 May 5, 2015

Display Outputs

No outputs
No

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