Home / GPU Comparison / NVIDIA GeForce GTX 1650 Mobile or Intel Arc 140V: What's better?

NVIDIA GeForce GTX 1650 Mobile

vs

Intel Arc 140V

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce GTX 1650 Mobile and Intel Arc 140V video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce GTX 1650 Mobile

Higher Boost Clock: 1515MHz (1515MHz vs 2.05 GHz)

Intel Arc 140V

Newer Launch Date: July 2024 (April 2020 vs July 2024)

Basic

NVIDIA

Label Name

Intel

April 2020

Launch Date

July 2024

Mobile

Platform

Integrated

GeForce GTX 1650 Mobile

Model Name

Intel Arc 140V GPU

GeForce 16 Mobile

Generation

Arc Graphics

1380MHz

Base Clock

400 MHz

1515MHz

Boost Clock

2.05 GHz

PCIe 3.0 x16

Bus Interface

4,700 million

Transistors

RT Cores

Compute Units

8 Xe-cores

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

12 nm

Process Size

3 nm

Turing

Architecture

Xe2-LPG

Memory Specifications

4GB

Memory Size

GDDR6

Memory Type

System Shared

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.

1500MHz

Memory Clock

192.0 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.

Display and Media

AV1 Encode/Decode

Yes

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

Yes

H.266 VVC Hardware Encode/Decode

Decode Only

Intel Quick Sync Video

Yes

Max Resolution DP

7680 x 4320 @ 60Hz

Max Resolution eDP

3840 x 2400 @ 120Hz

Max Resolution HDMI

4096 x 2304 @ 60Hz (HDMI 2.1 TMDS), 7680 x 4320 @ 60Hz (HDMI 2.1 FRL)

Number of Displays Supported

No outputs

Outputs

eDP 1.5, DisplayPort 2.1 UHBR20, HDMI 2.1 FRL

Theoretical Performance

48.48 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.

65.6 GPixel/s

96.96 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.

131.2 GTexel/s

6.205 TFLOPS

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.

96.96 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.

3.041 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.

4.2 TFLOPS

AI Features

AI Software Frameworks Supported by GPU

OpenVINO, WindowsML, DirectML, ONNX RT, WebGPU, WebNN

GPU Peak TOPS (Int8)

Intel Deep Learning Boost on GPU

Yes

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.

1024

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.

1024

64 KB (per SM)

L1 Cache

1024KB

L2 Cache

8 MB

50W

TDP

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.

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

7.5

CUDA

12 (12_1)

DirectX

DirectX 12.2

None

Power Connectors

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.

6.6

Shader Model