AMD Radeon Instinct MI300X vs NVIDIA RTX PRO 5000 Blackwell Mobile

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA RTX PRO 5000 Blackwell Mobile with 24 GB GDDR7 and 10,496 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms NVIDIA RTX PRO 5000 Blackwell Mobile by 399.73% 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

NVIDIA RTX PRO 5000 Blackwell Mobile

18.8

NVIDIA RTX PRO 5000 Blackwell Mobile

18.8

Expert Comparison

AMD Radeon Instinct MI300X лучше по многопроцессорной вычислительной мощности и памяти (192 ГБ HBM3), что делает его предпочтительным для высокопроизводительных вычислений и машинного обучения. В то время как NVIDIA RTX PRO 5000 Blackwell Mobile более энергоэффективен (TDP 95 Вт) и лучше подходит для графической обработки и творческих задач, обеспечивая более высокую пропускную способность памяти (896.0 GB/s).

Contents:

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

Memory

Memory Size

🔥 +700% 192 ГБ
24 GB

Memory Type

HBM3 GDDR7

Memory Bandwidth

🔥 10.3 TB/s
896.0 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +1,753% 653.7 TFLOPS
35.27 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +132% 81.72 TFLOPS
35.27 TFLOPS

FP64 (Double Precision)

🔥 +14,731% 81.72 TFLOPS
0.551 TFLOPS

CUDA Cores

🔥 +85% 19,456
10,496

RT Cores

No 82

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 82

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

CUDA Toolkit (first supported)

v12

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 +1% 1,000
990

Boost Clock

🔥 +25% 2,100
1,680

Memory Clock

🔥 +44% 2,525
1,750

Power Consumption

Recommended PSU

1150 W No

Power Connector

None None

TDP/TGP

750 W
🔥 -87% 95 W

Rendering

Texture Units (TMU)

🔥 +271% 1,216
328

ROP

No 82

L2 Cache

🔥 16 MB
64 MB

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 IGP

Release Date

Dec. 6, 2023 No

Display Outputs

No outputs
Portable Device Dependent

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