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NVIDIA GeForce GTX 1650 vs NVIDIA GeForce GTX 1650 SUPER

NVIDIA GeForce GTX 1650

NVIDIA GeForce GTX 1650 SUPER

GPU Comparison Result

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

Advantages

NVIDIA GeForce GTX 1650 SUPER

Higher Boost Clock: 1725MHz (1665MHz vs 1725MHz)
Higher Bandwidth: 192.0 GB/s (128.1 GB/s vs 192.0 GB/s)
More Shading Units: 1280 (896 vs 1280)
Newer Launch Date: November 2019 (April 2019 vs November 2019)

Basic

NVIDIA

Label Name

NVIDIA

April 2019

Launch Date

November 2019

Desktop

Platform

Desktop

GeForce GTX 1650

Model Name

GeForce GTX 1650 SUPER

GeForce 16

Generation

GeForce 16

1485MHz

Base Clock

1530MHz

1665MHz

Boost Clock

1725MHz

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

4,700 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

12 nm

Process Size

12 nm

Turing

Architecture

Turing

Memory Specifications

4GB

Memory Size

4GB

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.

128bit

2001MHz

Memory Clock

1500MHz

128.1 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.

192.0 GB/s

Theoretical Performance

53.28 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.

55.20 GPixel/s

93.24 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.

138.0 GTexel/s

5.967 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.

8.832 TFLOPS

93.24 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.

138.0 GFLOPS

3.044 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.

4.328 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.

896

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.

1280

64 KB (per SM)

L1 Cache

64 KB (per SM)

1024KB

L2 Cache

1024KB

75W

TDP

100W

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

12 (12_1)

DirectX

12 (12_1)

7.5

CUDA

7.5

None

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.

6.6

Shader Model

6.6

250W

Suggested PSU

300W

Benchmarks

Shadow of the Tomb Raider 2160p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

19 +58%

Shadow of the Tomb Raider 1440p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

41 +52%

Shadow of the Tomb Raider 1080p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

65 +59%

Battlefield 5 2160p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

34 +62%

Battlefield 5 1440p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

62 +32%

Battlefield 5 1080p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

84 +31%

GTA 5 2160p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

47 +74%

GTA 5 1440p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

47 +62%

GTA 5 1080p / fps

GeForce GTX 1650

GeForce GTX 1650 SUPER

145 +48%

FP32 (float) / TFLOPS

GeForce GTX 1650

3.044

GeForce GTX 1650 SUPER

4.328 +42%

3DMark Time Spy

GeForce GTX 1650

3521

GeForce GTX 1650 SUPER

4595 +31%

Blender

GeForce GTX 1650

430.53

GeForce GTX 1650 SUPER

573 +33%

Vulkan

GeForce GTX 1650

37482

GeForce GTX 1650 SUPER

53239 +42%

OpenCL

GeForce GTX 1650

39502

GeForce GTX 1650 SUPER

56310 +43%

NVIDIA GeForce GTX 1650 vs NVIDIA GeForce GTX 1650 SUPER

GPU Comparison Result

Advantages

Basic

Memory Specifications

Theoretical Performance

Miscellaneous

Benchmarks

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