NVIDIA GeForce GTX 460 v2 ES
About GPU
The NVIDIA GeForce GTX 460 v2 ES GPU is a reliable and powerful graphics card for desktop computers. With a memory size of 1280MB and GDDR5 memory type, this GPU offers impressive speeds and performance. The memory clock of 1002MHz ensures smooth and seamless gameplay and tasks, even when handling large and complex graphics.
One of the notable features of the GTX 460 v2 ES GPU is its 336 shading units, which allow for impressive visual rendering and image processing. The 512KB L2 cache further enhances its performance, ensuring quick access to frequently used data and reducing latency.
With a TDP of 160W, this GPU is not the most power-efficient option on the market, but its theoretical performance of 1.046 TFLOPS more than makes up for the power consumption. Whether it's for gaming, content creation, or professional applications, this GPU can handle demanding tasks with ease.
Overall, the NVIDIA GeForce GTX 460 v2 ES GPU is a solid choice for users looking for a reliable and high-performing graphics card for their desktop setup. It offers excellent memory size, impressive memory type, and robust theoretical performance, making it a great option for those looking to elevate their visual experience. While it may not be the newest model on the market, it still holds its own when it comes to delivering outstanding graphics and performance.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
September 2011
Model Name
GeForce GTX 460 v2 ES
Generation
GeForce 400
Bus Interface
PCIe 2.0 x16
Memory Specifications
Memory Size
1280MB
Memory Type
GDDR5
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.
256bit
Memory Clock
1002MHz
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.
128.3 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.
10.91 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.
43.62 GTexel/s
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.
87.19 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.
1.067
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.
7
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.
336
L1 Cache
64 KB (per SM)
L2 Cache
512KB
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.
N/A
OpenCL Version
1.1
Benchmarks
FP32 (float)
Score
1.067
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS