AMD Radeon Instinct MI6 vs NVIDIA Quadro P1000 Mobile

VS

AMD Radeon Instinct MI6 NVIDIA Quadro P1000 Mobile

We compared two Professional market GPUs: 8GB VRAM Radeon Instinct MI6 and 4GB VRAM Quadro P1000 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon Instinct MI6 's Advantages

More VRAM (8GB vs 4GB)

Larger VRAM bandwidth (224.0GB/s vs 96.13GB/s)

1792 additional rendering cores

NVIDIA Quadro P1000 Mobile 's Advantages

Boost Clock has increased by 23% (1519MHz vs 1233MHz)

Lower TDP (40W vs 150W)

Score

Benchmark

FP32 (float)

Radeon Instinct MI6 +265%

5.682 TFLOPS

Quadro P1000 Mobile

1.555 TFLOPS

Radeon Instinct MI6

VS

Quadro P1000 Mobile

Graphics Card

Dec 2016

Release Date

Feb 2017

Radeon Instinct

Generation

Quadro Pascal-M

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1120 MHz

Base Clock

1493 MHz

1233 MHz

Boost Clock

1519 MHz

1750 MHz

Memory Clock

1502 MHz

Memory

8GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

256bit

Memory Bus

128bit

224.0GB/s

Bandwidth

96.13GB/s

Render Config

-

SM Count

4

36

Compute Units

-

2304

Shading Units

512

144

TMUs

32

ROPs

16

-

Tensor Cores

-

RT Cores

-

16 KB (per CU)

L1 Cache

48 KB (per SM)

2 MB

L2 Cache

1024 KB

Theoretical Performance

39.46 GPixel/s

Pixel Rate

24.30 GPixel/s

177.6 GTexel/s

Texture Rate

48.61 GTexel/s

5.682 TFLOPS

FP16 (half)

24.30 GFLOPS

5.682 TFLOPS

FP32 (float)

1.555 TFLOPS

355.1 GFLOPS

FP64 (double)

48.61 GFLOPS

Graphics Processor

Ellesmere

GPU Name

GP107

Ellesmere XT

GPU Variant

N18P-Q1-A1

GCN 4.0

Architecture

Pascal

GlobalFoundries

Foundry

Samsung

14 nm

Process Size

14 nm

5.7 billion

Transistors

3.3 billion

232 mm²

Die Size

132 mm²

Board Design

150W

TDP

40W

450 W

Suggested PSU

-

No outputs

Outputs

Portable Device Dependent

1x 6-pin

Power Connectors

None

Graphics Features

12 (12_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

2.1

OpenCL

3.0

1.2

Vulkan

1.3

-

CUDA

6.1

6.4

Shader Model

6.7

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