NVIDIA T1000 8 GB vs AMD Radeon Pro V7350X2

VS

NVIDIA T1000 8 GB AMD Radeon Pro V7350X2

We compared two Desktop platform GPUs: 8GB VRAM T1000 8 GB and 16GB VRAM Radeon Pro V7350X2 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA T1000 8 GB 's Advantages

Boost Clock has increased by 12% (1395MHz vs 1243MHz)

Lower TDP (50W vs 200W)

AMD Radeon Pro V7350X2 's Advantages

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (224.0GB/s vs 160.0GB/s)

1408 additional rendering cores

Score

Benchmark

FP32 (float)

T1000 8 GB

2.5 TFLOPS

Radeon Pro V7350X2 +129%

5.728 TFLOPS

T1000 8 GB

VS

Radeon Pro V7350X2

Graphics Card

May 2021

Release Date

Unknown

Quadro

Generation

Radeon Pro

Desktop

Type

Desktop

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1065 MHz

Base Clock

1188 MHz

1395 MHz

Boost Clock

1243 MHz

1250 MHz

Memory Clock

1750 MHz

Memory

8GB

Memory Size

16GB

GDDR6

Memory Type

GDDR5

128bit

Memory Bus

256bit

160.0GB/s

Bandwidth

224.0GB/s

Render Config

14

SM Count

-

Compute Units

36

896

Shading Units

2304

56

TMUs

144

32

ROPs

32

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

16 KB (per CU)

1024 KB

L2 Cache

2 MB

Theoretical Performance

44.64 GPixel/s

Pixel Rate

39.78 GPixel/s

78.12 GTexel/s

Texture Rate

179.0 GTexel/s

5.000 TFLOPS

FP16 (half)

-

2.500 TFLOPS

FP32 (float)

5.728 TFLOPS

78.12 GFLOPS

FP64 (double)

358.0 GFLOPS

Graphics Processor

TU117

GPU Name

Ellesmere

-

GPU Variant

Ellesmere XT

Turing

Architecture

GCN 4.0

TSMC

Foundry

GlobalFoundries

12 nm

Process Size

14 nm

4.7 billion

Transistors

5.7 billion

200 mm²

Die Size

232 mm²

Board Design

50W

TDP

200W

250 W

Suggested PSU

550 W

4x mini-DisplayPort 1.4a

Outputs

1x mini-DisplayPort 1.4a

None

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

12 (12_1)

DirectX

12 (12_0)

4.6

OpenGL

4.6

3.0

OpenCL

2.1

1.3

Vulkan

1.2

7.5

CUDA

-

6.6

Shader Model

6.4

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