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NVIDIA GeForce GTX 1650 Mobile

vs

AMD Radeon 860M

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce GTX 1650 Mobile and AMD Radeon 860M video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce GTX 1650 Mobile

Larger Memory Size: 4GB (4GB vs Shared system memory)
More Shading Units: 1024 (1024 vs 512)

AMD Radeon 860M

Higher Boost Clock: 3000-3100 MHz (1515MHz vs 3000-3100 MHz)
Newer Launch Date: February 2025 (April 2020 vs February 2025)

Basic

NVIDIA

Label Name

Intel

April 2020

Launch Date

February 2025

Mobile

Platform

Integrated

Former Codename

Krackan Point / Gorgon Point

GPU Lithography

4 nm

GeForce GTX 1650 Mobile

Model Name

AMD Radeon 860M Graphics

GeForce 16 Mobile

Generation

Radeon 800M Series

1380MHz

Base Clock

1515MHz

Boost Clock

3000-3100 MHz

PCIe 3.0 x16

Bus Interface

Integrated

4,700 million

Transistors

RT Cores

Compute Units

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

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

4 nm

Turing

Architecture

RDNA 3.5

Memory Specifications

4GB

Memory Size

Shared system memory

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.

Dual-channel system memory, platform dependent

1500MHz

Memory Clock

System memory dependent

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

AMD FreeSync

Yes

AV1 Encode/Decode

Encode/Decode

DisplayPort Extensions

Adaptive-Sync, HDR Metadata, UHBR10

H.264 Hardware Encode/Decode

Encode/Decode

H.265 HEVC Hardware Encode/Decode

Encode/Decode

H.266 VVC Hardware Encode/Decode

No hardware support

HDCP Version

2.3

HDMI Version

2.1

Intel Quick Sync Video

Max Resolution DP

7680x4320 @ 60Hz

Max Resolution HDMI

7680x4320 @ 60Hz

Max Video Decode Bandwidth

1080p60 8bpc MPEG2, 1080p60 8bpc VC1, 1080p786 8/10bpc VP9, 2160p196 8/10bpc VP9, 4320p49 8/10bpc VP9, 1080p1200 8bpc H.264, 2160p300 8bpc H.264, 4320p75 8bpc H.264, 1080p786 8/10bpc H.265, 2160p196 8/10bpc H.265, 4320p49 8/10bpc H.265, 1080p960 8/10bpc AV1, 2160p240 8/10bpc AV1, 4320p60 8/10bpc AV1

Max Video Encode Bandwidth

1080p630 8bpc H.264, 1440p373 8bpc H.264, 2160p175 8bpc H.264, 1080p630 8bpc H.265, 1440p373 8bpc H.265, 2160p175 8bpc H.265, 4320p43 8bpc H.265, 1080p864 8/10bpc AV1, 1440p513 8/10bpc AV1, 2160p240 8/10bpc AV1, 4320p60 8/10bpc AV1

Number of Displays Supported

No outputs

Outputs

HDMI 2.1, DisplayPort 2.1, USB-C DisplayPort Alt Mode; device dependent

USB Type-C DisplayPort Alternate Mode

Yes

Wireless Display

Miracast

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.

48-49.6 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.

96-99.2 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.

6.14-6.35 TFLOPS

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.

192-198 GFLOPS

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.

3.07 TFLOPS

AI Features

Intel Deep Learning Boost on GPU

NPU TOPS

Up to 50 TOPS

Processor Overall TOPS

Up to 66 TOPS

Miscellaneous

AMD SmartAccess Memory

Available

Native PCIe Lanes

14 total / 14 usable

PCI Express Version

PCIe 4.0

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.

512

64 KB (per SM)

L1 Cache

1024KB

L2 Cache

50W

TDP

Shared with processor; 15-54 W cTDP

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.

1.4

3.0

OpenCL Version

2.1

4.6

OpenGL

4.6

7.5

CUDA

12 (12_1)

DirectX

12 Ultimate (12_2)

None

Power Connectors

None

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

6.7