NVIDIA GeForce RTX 4070 AD103
About GPU
The NVIDIA GeForce RTX 4070 AD103 GPU is a powerhouse when it comes to delivering exceptional gaming and graphics performance. With a base clock of 1920MHz and a boost clock of 2475MHz, this GPU offers lightning-fast speeds and smooth gameplay. The 12GB of GDDR6X memory and a memory clock of 1313MHz ensure that even the most demanding games and applications run seamlessly without any lag.
The 5888 shading units and 36MB of L2 cache further contribute to the GPU's exceptional performance, allowing for crisp and detailed graphics. The 200W TDP ensures that the GPU operates efficiently without consuming excessive power.
In terms of raw performance, the GeForce RTX 4070 AD103 delivers an impressive theoretical performance of 28.567 TFLOPS, making it suitable for high-resolution gaming, content creation, and other graphics-intensive tasks. The GPU's advanced technology and architecture make it well-equipped to handle ray tracing, AI-enhanced graphics, and real-time rendering.
Overall, the NVIDIA GeForce RTX 4070 AD103 GPU stands out as a top contender in the desktop GPU market, offering exceptional performance, advanced features, and future-proof technology. Whether you're a hardcore gamer, a professional content creator, or a multimedia enthusiast, this GPU is capable of meeting your demands and providing an immersive and seamless experience.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
March 2024
Model Name
GeForce RTX 4070 AD103
Generation
GeForce 40
Base Clock
1920MHz
Boost Clock
2475MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
12GB
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.
192bit
Memory Clock
1313MHz
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.
504.2 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.
158.4 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.
455.4 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.
29.15 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.
455.4 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.
28.567
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.
46
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.
5888
L1 Cache
128 KB (per SM)
L2 Cache
36MB
TDP
200W
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
28.567
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS