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NVIDIA Quadro M4000

vs

NVIDIA Quadro K4000

GPU Comparison Result

Below are the results of a comparison of NVIDIA Quadro M4000 and NVIDIA Quadro K4000 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA Quadro M4000

Larger Memory Size: 8GB (8GB vs 3GB)
Higher Bandwidth: 192.3 GB/s (192.3 GB/s vs 134.8 GB/s)
More Shading Units: 1664 (1664 vs 768)
Newer Launch Date: June 2015 (June 2015 vs March 2013)

Basic

NVIDIA

Label Name

NVIDIA

June 2015

Launch Date

March 2013

Professional

Platform

Professional

Quadro M4000

Model Name

Quadro K4000

Quadro

Generation

Quadro

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

5,200 million

Transistors

2,540 million

104

TMUs

Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

Maxwell 2.0

Architecture

Kepler

Memory Specifications

8GB

Memory Size

3GB

GDDR5

Memory Type

GDDR5

256bit

Memory Bus

The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.

192bit

1502MHz

Memory Clock

1404MHz

192.3 GB/s

Bandwidth

Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.

134.8 GB/s

Display and Media

4x DisplayPort 1.4a

Outputs

1x DVI
2x DisplayPort 1.2

Theoretical Performance

49.47 GPixel/s

Pixel Rate

Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.

12.96 GPixel/s

80.39 GTexel/s

Texture Rate

Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.

51.84 GTexel/s

80.39 GFLOPS

FP64 (double)

An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

51.84 GFLOPS

2.522 TFLOPS

FP32 (float)

An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

1.219 TFLOPS

Miscellaneous

1664

Shading Units

The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.

768

48 KB (per SMM)

L1 Cache

16 KB (per SMX)

2MB

L2 Cache

384KB

120W

TDP

80W

1.3

Vulkan Version

Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.

1.1

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

5.2

CUDA

3.0

12 (12_1)

DirectX

12 (11_0)

1x 6-pin

Power Connectors

1x 6-pin

ROPs

The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.

6.4

Shader Model

5.1

300W

Suggested PSU

250W