NVIDIA GeForce RTX 5070 Mobile
About GPU
The NVIDIA GeForce RTX 5070 Mobile GPU is a powerful graphics processing unit designed for high-performance gaming and creative tasks on laptops. With a base clock speed of 2235 MHz and a boost clock speed of 2520 MHz, this GPU delivers impressive processing power and smooth gameplay experiences.
The 8GB of GDDR7 memory and a memory clock speed of 2500 MHz ensure that the GPU can handle demanding tasks with ease, allowing for high-resolution gaming and content creation. The 4608 shading units and 32MB of L2 cache further enhance the GPU's capabilities, enabling it to handle complex graphics rendering and compute-intensive workloads efficiently.
One of the most impressive aspects of the RTX 5070 Mobile GPU is its 23.684 TFLOPS theoretical performance, which makes it well-suited for demanding AAA gaming titles and resource-intensive creative applications. Additionally, with a TDP of 120W, the GPU strikes a good balance between performance and power efficiency, making it suitable for use in thin and light gaming laptops.
Overall, the NVIDIA GeForce RTX 5070 Mobile GPU is a top-of-the-line graphics solution that delivers exceptional performance for gaming and creative workloads on the go. Its impressive specifications and efficient power management make it an excellent choice for gamers and content creators who prioritize performance and portability in their laptops.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2025
Model Name
GeForce RTX 5070 Mobile
Generation
GeForce 50 Mobile
Base Clock
2235 MHz
Boost Clock
2520 MHz
Bus Interface
PCIe 5.0 x16
Transistors
Unknown
RT Cores
36
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
144
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
144
Foundry
TSMC
Process Size
0 nm
Architecture
Blackwell 2.0
Memory Specifications
Memory Size
8GB
Memory Type
GDDR7
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.
128bit
Memory Clock
2500 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.
80.00GB/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.
121.0 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.
362.9 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.
23.22 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.
362.9 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.
23.684
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.
36
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.
4608
L1 Cache
128 KB (per SM)
L2 Cache
32 MB
TDP
120W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
9.1
Power Connectors
1x 16-pin
Shader Model
6.8
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
48
Suggested PSU
300 W
Benchmarks
FP32 (float)
Score
23.684
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS