AMD Radeon Instinct MI300X vs NVIDIA GeForce RTX 5070 Ti Mobile

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA GeForce RTX 5070 Ti Mobile with 12 GB GDDR7 and 6,400 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms NVIDIA GeForce RTX 5070 Ti Mobile by 547.63% 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 GeForce RTX 5070 Ti Mobile

14.5

NVIDIA GeForce RTX 5070 Ti Mobile

14.5

Contents:

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

Memory

Memory Size

🔥 +1,500% 192 ГБ
12 ГБ

Memory Type

HBM3 GDDR7

Memory Bandwidth

🔥 10.3 TB/s
608.6 GB/s

Memory Bus Width

8,192 бит 192 бит

ML Performance

FP16 (Half Precision)

🔥 +1,926% 653.7 TFLOPS
32.26 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +153% 81.72 TFLOPS
32.26 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS
🔥 +616,640% 504,000.0 TFLOPS

CUDA Cores

🔥 +204% 19,456
6,400

RT Cores

No
🔥 50

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No
🔥 50

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 10.1

Clocks & Performance

Base Clock

1,000
🔥 +124% 2,235

Boost Clock

2,100
🔥 +20% 2,520

Memory Clock

🔥 +26% 2,525
2,000

Power Consumption

TDP/TGP

750 W
🔥 -81% 140 W

Recommended PSU

1150 W No

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +508% 1,216
200

ROP

No
🔥 50

L2 Cache

16 MB
🔥 +150% 40 MB

Benchmarks

Hashcat: MD5

90.2 GH/s

Hashcat: SHA-256

11.6 GH/s

Hashcat: SHA-512

4.11 GH/s

Blender: Blend File: Barbershop - Compute: NVIDIA CUDA

78.09 Seconds

Blender: Blend File: Barbershop - Compute: NVIDIA OptiX

46.33 Seconds

Blender: Blend File: Fishy Cat - Compute: NVIDIA CUDA

20.60 Seconds

Blender: Blend File: Fishy Cat - Compute: NVIDIA OptiX

8.45 Seconds

Blender: Blend File: Junkshop - Compute: NVIDIA CUDA

15.22 Seconds

Blender: Blend File: Junkshop - Compute: NVIDIA OptiX

8.28 Seconds

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 March 13, 2025

Display Outputs

No outputs
1x HDMI 2.1b
3x DisplayPort 2.1a

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