NVIDIA CMP 70HX
About GPU
The NVIDIA CMP 70HX GPU is a high-performance graphics card designed for desktop use. With a base clock of 1365MHz and a boost clock of 1395MHz, this GPU offers impressive speed and power for demanding graphics tasks. The 8GB of GDDR6X memory and a memory clock of 1188MHz ensure smooth and efficient performance for complex graphics workloads.
With 6144 shading units and 4MB of L2 cache, the CMP 70HX delivers exceptional rendering capabilities and quick data access, making it an ideal choice for professional applications such as 3D rendering, video editing, and game development. The theoretical performance of 17.14 TFLOPS further demonstrates the GPU's ability to handle compute-intensive tasks with ease.
One drawback of the CMP 70HX is that its TDP (thermal design power) is unknown, so it may require additional cooling and power management considerations. However, given its impressive performance specs, this GPU is likely to be a solid choice for users who need reliable and efficient graphics processing.
Overall, the NVIDIA CMP 70HX GPU offers a compelling combination of speed, memory capacity, and performance for demanding graphics tasks. Its high shading unit count, generous memory size, and fast memory type make it well-suited for professional graphics workloads. As such, it is a strong contender for users seeking a powerful and reliable GPU for their desktop graphics needs.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2021
Model Name
CMP 70HX
Generation
Mining GPUs
Base Clock
1365MHz
Boost Clock
1395MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
8GB
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.
256bit
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.
608.3 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.
133.9 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.
267.8 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.
17.14 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.
267.8 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.
16.797
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.
48
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.
6144
L1 Cache
128 KB (per SM)
L2 Cache
4MB
TDP
Unknown
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
16.797
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS