NVIDIA GeForce GTX 460 v2

NVIDIA GeForce GTX 460 v2

About GPU

The NVIDIA GeForce GTX 460 v2 GPU is a solid mid-range graphics card that delivers good performance for gaming and multimedia tasks. With a memory size of 1024MB and GDDR5 memory type, this GPU offers fast and efficient data handling for smooth gameplay and video playback. The 1002MHz memory clock further enhances its ability to handle high-resolution textures and complex visual effects. The GTX 460 v2 features 336 shading units and 384KB of L2 cache, allowing for impressive rendering capabilities and image quality. With a TDP of 160W, this card strikes a good balance between power consumption and performance, making it suitable for a wide range of desktop systems. In terms of performance, the GTX 460 v2 offers a theoretical performance of 1.046 TFLOPS, which is more than capable of running modern games at moderate to high settings. It also supports DirectX 11 and OpenGL 4.6, ensuring compatibility with the latest graphics technologies. One thing to keep in mind is that this GPU may struggle with more demanding games at ultra-high settings, but for the price point, it delivers commendable performance. Overall, the NVIDIA GeForce GTX 460 v2 is a reliable choice for budget-conscious gamers and multimedia enthusiasts looking for a good balance of performance and affordability in a desktop GPU.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
September 2011
Model Name
GeForce GTX 460 v2
Generation
GeForce 400
Bus Interface
PCIe 2.0 x16

Memory Specifications

Memory Size
1024MB
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.
192bit
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.
96.19 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.
1.025 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
384KB
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
1.025 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
1.028 +0.3%
1.02 -0.5%
1.012 -1.3%