NVIDIA GeForce RTX 4070 10 GB
About GPU
The NVIDIA GeForce RTX 4070 10 GB GPU is an absolute powerhouse, delivering exceptional performance and stunning visuals for desktop gaming and content creation. With a base clock of 2355 MHz and a boost clock of 2520 MHz, this GPU offers incredible speed and responsiveness for even the most demanding applications.
The 10GB of GDDR6X memory and a memory clock of 1313 MHz ensure smooth, lag-free performance, even when running multiple resource-intensive tasks simultaneously. The 7168 shading units and 48MB of L2 cache further contribute to the GPU's impressive capabilities, allowing for seamless rendering and high-fidelity graphics.
One of the most impressive aspects of the RTX 4070 is its TDP of 220W, demonstrating that it is not only powerful but also energy-efficient. This means that users can enjoy top-tier performance without worrying about excessive power consumption.
In terms of raw performance, the theoretical performance of 36.853 TFLOPS and the 3DMark Time Spy score of 20998 speak for themselves. Whether you're a hardcore gamer, a professional content creator, or a data scientist, the RTX 4070 has the muscle to handle whatever you throw at it.
In conclusion, the NVIDIA GeForce RTX 4070 10 GB GPU is a game-changer in the world of desktop graphics cards. Its exceptional speed, power efficiency, and stunning visual capabilities make it a must-have for anyone in need of top-tier performance.
Basic
Label Name
NVIDIA
Platform
Desktop
Model Name
GeForce RTX 4070 10 GB
Generation
GeForce 40
Base Clock
2355 MHz
Boost Clock
2520 MHz
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.
160bit
Memory Clock
1313 MHz
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.
420.2GB/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.
201.6 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.
564.5 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.
36.13 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.
564.5 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.
36.853
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.
56
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.
7168
L1 Cache
128 KB (per SM)
L2 Cache
48 MB
TDP
220W
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
36.853
TFLOPS
3DMark Time Spy
Score
20998
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy