Samsung RTX 4050 Max-Q vs SPARKLE Arc A310 OmniView

Comparison of Samsung RTX 4050 Max-Q with 6 GB GDDR6 and 2,560 cores vs SPARKLE Arc A310 OmniView with 4 GB GDDR6 and 768 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

Samsung RTX 4050 Max-Q

4.6

Samsung RTX 4050 Max-Q

4.6
RX 7900 XTX RX 7900 XTX
Instinct MI300X Instinct MI300X
MI250 MI250

SPARKLE Arc A310 OmniView

SPARKLE Arc A310 OmniView

Contents:

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

Memory

Memory Size

🔥 +50% 6 ГБ
4 GB

Memory Type

GDDR6 GDDR6

Memory Bandwidth

192.0 GB/s 124.0 GB/s

Memory Bus Width

96 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 +34% 8.218 TFLOPS
6.144 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +168% 8.218 TFLOPS
3.072 TFLOPS

FP64 (Double Precision)

🔥 +16,718,650% 128,400.0 TFLOPS
0.768 TFLOPS

CUDA Cores

🔥 +233% 2,560
768

RT Cores

🔥 +233% 20
6

Architecture & Compatibility

GPU Architecture

Ada Lovelace Xe-HPG

SM (Streaming Multiprocessor)

🔥 20
No

PCIe Version

PCIe 4.0 x8 PCIe 4.0 x8

ML Software Support

CUDA Version

8.9 No

Clocks & Performance

Base Clock

🔥 1,140
2,000

Boost Clock

🔥 1,605
2,000

Memory Clock

🔥 +3% 2,000
1,937

Power Consumption

TDP/TGP

🔥 -53% 35 W
75 W

Recommended PSU

No 250 W

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +150% 80
32

ROP

🔥 +233% 20
6

L2 Cache

🔥 +200% 12 MB
4 MB

Additional

Slots

IGP Single-slot

Release Date

Jan. 3, 2023 Nov. 18, 2024

Display Outputs

Portable Device Dependent
4x mini-DisplayPort 2.0
4x HDMI 2.1

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