NVIDIA CMP 90HX
About GPU
The NVIDIA CMP 90HX is a powerful and impressive GPU designed for the desktop platform. With a base clock of 1500MHz and a boost clock of 1710MHz, this GPU delivers incredible speed and performance for demanding tasks such as gaming, 3D rendering, and data processing.
One of the standout features of the CMP 90HX is its large 10GB of GDDR6X memory, which allows for efficient and quick data processing and storage. The memory clock of 1188MHz further enhances its performance, making it ideal for handling large and complex datasets.
With 6400 shading units and 5MB of L2 cache, the CMP 90HX is capable of handling intense graphical workloads with ease, delivering smooth and fluid visuals without any lag or stuttering. The TDP of 320W ensures that the GPU is able to maintain high performance levels without overheating or throttling, even under heavy load.
In terms of theoretical performance, the CMP 90HX is incredibly impressive, boasting a whopping 21.89 TFLOPS. This makes it suitable for high-end gaming, professional content creation, and other demanding applications that require significant computing power.
Overall, the NVIDIA CMP 90HX is a top-of-the-line GPU that offers exceptional performance, speed, and efficiency. Whether you're a serious gamer, a professional designer, or a data scientist, this GPU is sure to meet and exceed your expectations.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
July 2021
Model Name
CMP 90HX
Generation
Mining GPUs
Base Clock
1500MHz
Boost Clock
1710MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
10GB
Memory Type
GDDR6X
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.
320bit
Memory Clock
1188MHz
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.
760.3 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.
136.8 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.
342.0 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.
21.89 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.
342.0 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.
22.328
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.
50
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.
6400
L1 Cache
128 KB (per SM)
L2 Cache
5MB
TDP
320W
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
22.328
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS