NVIDIA GeForce GTX 1660 Ti Mobile
About GPU
The NVIDIA GeForce GTX 1660 Ti Mobile GPU is a powerful and efficient graphics processing unit designed for laptops and mobile devices. With a base clock of 1455MHz and a boost clock of 1590MHz, this GPU provides smooth and responsive performance for gaming, content creation, and more.
One of the standout features of the GTX 1660 Ti Mobile is its 6GB of GDDR6 memory, which delivers high-speed, low-latency performance for handling demanding graphics tasks. With a memory clock of 1500MHz and 1536 shading units, this GPU is capable of handling a wide range of modern games and applications with ease.
In terms of performance, the GTX 1660 Ti Mobile boasts a theoretical performance of 4.884 TFLOPS and a 3DMark Time Spy score of 5575, showcasing its ability to deliver smooth frame rates and high-quality visuals in demanding gaming environments.
The inclusion of 1536KB of L2 cache further enhances the GPU's ability to handle complex tasks efficiently, while its TDP (Thermal Design Power) ensures that it operates within a reasonable power envelope for mobile devices.
Overall, the NVIDIA GeForce GTX 1660 Ti Mobile GPU offers a compelling blend of performance, efficiency, and features for users who demand high-quality graphics capabilities in their laptops and mobile devices. Whether you're a gamer, content creator, or professional user, this GPU is well-equipped to handle a wide range of graphics-intensive tasks with aplomb.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
April 2019
Model Name
GeForce GTX 1660 Ti Mobile
Generation
GeForce 16 Mobile
Base Clock
1455MHz
Boost Clock
1590MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
6GB
Memory Type
GDDR6
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
Memory Clock
1500MHz
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
Theoretical Performance
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.
76.32 GPixel/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.
152.6 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.
9.769 TFLOPS
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.
152.6 GFLOPS
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.
4.982
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.
24
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
L1 Cache
64 KB (per SM)
L2 Cache
1536KB
TDP
Unknown
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
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
4.982
TFLOPS
3DMark Time Spy
Score
5687
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy