NVIDIA GeForce RTX 4060 Ti AD104
About GPU
The NVIDIA GeForce RTX 4060 Ti AD104 GPU is a powerhouse graphics card designed for desktop gaming and content creation. With a base clock of 2310MHz and a boost clock of 2535MHz, this GPU offers outstanding performance for both gaming and professional applications. The 8GB of GDDR6 memory and a memory clock of 2250MHz ensure smooth and seamless multitasking and gaming experiences.
The 4352 shading units and 32MB of L2 cache allow for incredibly detailed and lifelike graphics, making it a great choice for high-resolution gaming and demanding creative tasks such as video editing and 3D rendering. The TDP of 160W strikes a good balance between power consumption and performance, making it an efficient choice for a variety of desktop systems.
One of the most impressive aspects of the NVIDIA GeForce RTX 4060 Ti AD104 GPU is its theoretical performance of 21.619 TFLOPS, which ensures that it can handle the most demanding workloads with ease. Whether you're a hardcore gamer or a professional content creator, this GPU has the power and capability to meet your needs.
Overall, the NVIDIA GeForce RTX 4060 Ti AD104 GPU is a top-of-the-line graphics card that delivers exceptional performance for desktop users. With its high clock speeds, ample memory, and impressive theoretical performance, it's a fantastic choice for anyone in need of a reliable and powerful GPU.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2024
Model Name
GeForce RTX 4060 Ti AD104
Generation
GeForce 40
Base Clock
2310MHz
Boost Clock
2535MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
8GB
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.
128bit
Memory Clock
2250MHz
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.
121.7 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.
344.8 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.
22.06 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.
344.8 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.
21.619
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.
34
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.
4352
L1 Cache
128 KB (per SM)
L2 Cache
32MB
TDP
160W
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
21.619
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS