Home / GPU Comparison / Intel Arc Pro A50 or NVIDIA GeForce GTX 1660: What's better?

Intel Arc Pro A50
vs
NVIDIA GeForce GTX 1660

Intel Arc Pro A50
vs
NVIDIA GeForce GTX 1660

GPU Comparison Result

Below are the results of a comparison of Intel Arc Pro A50 and NVIDIA GeForce GTX 1660 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel Arc Pro A50
Intel Arc Pro A50
Intel Arc Pro A50
  • Higher Boost Clock: 2350MHz (2350MHz vs 1785MHz)
  • Newer Launch Date: August 2022 (August 2022 vs March 2019)
NVIDIA GeForce GTX 1660
NVIDIA GeForce GTX 1660
NVIDIA GeForce GTX 1660
  • Higher Bandwidth: 192.1 GB/s (192.0 GB/s vs 192.1 GB/s)
  • More Shading Units: 1408 (1024 vs 1408)

Basic

Intel
Label Name
NVIDIA
August 2022
Launch Date
March 2019
Desktop
Platform
Desktop
Arc Pro A50
Model Name
GeForce GTX 1660
Alchemist
Generation
GeForce 16
2000MHz
Base Clock
1530MHz
2350MHz
Boost Clock
1785MHz
PCIe 4.0 x8
Bus Interface
PCIe 3.0 x16
7,200 million
Transistors
6,600 million
8
RT Cores
-
64
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.
88
TSMC
Foundry
TSMC
6 nm
Process Size
12 nm
Generation 12.7
Architecture
Turing

Memory Specifications

6GB
Memory Size
6GB
GDDR6
Memory Type
GDDR5
96bit
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
2000MHz
Memory Clock
2001MHz
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.
192.1 GB/s

Theoretical Performance

75.20 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.
85.68 GPixel/s
150.4 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.
157.1 GTexel/s
9.626 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.
10.05 TFLOPS
1203 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.
157.1 GFLOPS
4.909 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.
5.128 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.
22
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.
1408
-
L1 Cache
64 KB (per SM)
4MB
L2 Cache
1536KB
75W
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
12 Ultimate (12_2)
DirectX
12 (12_1)
-
CUDA
7.5
None
Power Connectors
1x 8-pin
32
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.
48
6.6
Shader Model
6.6
250W
Suggested PSU
300W

Benchmarks

FP32 (float) / TFLOPS
Arc Pro A50
4.909
GeForce GTX 1660
5.128 +4%