Home / GPU Comparison / NVIDIA GeForce GTX 750 Ti or NVIDIA GeForce GTX 1660 Ti: What's better?

NVIDIA GeForce GTX 750 Ti

vs

NVIDIA GeForce GTX 1660 Ti

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce GTX 750 Ti and NVIDIA GeForce GTX 1660 Ti video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce GTX 1660 Ti

Higher Boost Clock: 1770MHz (1085MHz vs 1770MHz)
Larger Memory Size: 6GB (2GB vs 6GB)
Higher Bandwidth: 288.0 GB/s (86.40 GB/s vs 288.0 GB/s)
More Shading Units: 1536 (640 vs 1536)
Newer Launch Date: February 2019 (February 2014 vs February 2019)

Basic

NVIDIA

Label Name

NVIDIA

February 2014

Launch Date

February 2019

Desktop

Platform

Desktop

GeForce GTX 750 Ti

Model Name

GeForce GTX 1660 Ti

GeForce 700

Generation

GeForce 16

1020MHz

Base Clock

1500MHz

1085MHz

Boost Clock

1770MHz

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

1,870 million

Transistors

6,600 million

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

12 nm

Maxwell

Architecture

Turing

Memory Specifications

2GB

Memory Size

6GB

GDDR5

Memory Type

GDDR6

128bit

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

1350MHz

Memory Clock

1500MHz

86.40 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.

288.0 GB/s

Display and Media

2x DVI
1x mini-HDMI 2.0

Outputs

1x DVI
1x HDMI 2.0
1x DisplayPort 1.4a

Theoretical Performance

17.36 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.

84.96 GPixel/s

43.40 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.

169.9 GTexel/s

FP16 (half)

An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. 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.

10.87 TFLOPS

43.40 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.

169.9 GFLOPS

1.361 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.

5.546 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

640

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.

1536

64 KB (per SMM)

L1 Cache

64 KB (per SM)

2MB

L2 Cache

1536KB

60W

TDP

120W

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.

1.3

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

5.0

CUDA

7.5

12 (11_0)

DirectX

12 (12_1)

None

Power Connectors

1x 8-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.

5.1

Shader Model

6.6

250W

Suggested PSU

300W