NVIDIA RTX 4500 Ada Generation
About GPU
The NVIDIA RTX 4500 Ada Generation GPU is an absolute powerhouse when it comes to desktop graphics processing. With a base clock of 2070MHz and a boost clock of 2580MHz, this GPU offers lightning-fast performance for even the most demanding tasks. The 24GB of GDDR6 memory and a memory clock of 2250MHz ensure that you can tackle intense gaming, video editing, and rendering without any slowdowns.
One of the most impressive features of the RTX 4500 is its 7680 shading units, which allow for incredibly detailed and realistic visual effects. Additionally, with 48MB of L2 cache, this GPU delivers rapid data access for seamless performance across a wide range of applications.
Despite its remarkable power, the RTX 4500 manages to maintain a relatively low TDP of 130W, making it an energy-efficient choice for a high-performance GPU. The theoretical performance of 39.63 TFLOPS means that you can expect unparalleled speed and efficiency from this graphics card.
Overall, the NVIDIA RTX 4500 Ada Generation GPU is a top-of-the-line option for anyone in need of uncompromising performance for their desktop setup. Whether you're a hardcore gamer, a professional content creator, or a data scientist in need of powerful GPU acceleration, the RTX 4500 has you covered with its impressive specs and cutting-edge technology.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
August 2023
Model Name
RTX 4500 Ada Generation
Generation
Quadro Ada
Base Clock
2070MHz
Boost Clock
2580MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
24GB
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
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.
432.0 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.
206.4 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.
619.2 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.
39.63 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.
619.2 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.
40.423
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.
60
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.
7680
L1 Cache
128 KB (per SM)
L2 Cache
48MB
TDP
130W
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
40.423
TFLOPS
OpenCL
Score
207543
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL