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NVIDIA GeForce RTX 4070 Mobile vs NVIDIA GeForce RTX 4080 Mobile

NVIDIA GeForce RTX 4070 Mobile

NVIDIA GeForce RTX 4080 Mobile

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce RTX 4070 Mobile and NVIDIA GeForce RTX 4080 Mobile video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 4070 Mobile

Higher Boost Clock: 1695MHz (1695MHz vs 1665MHz)

NVIDIA GeForce RTX 4080 Mobile

Larger Memory Size: 12GB (8GB vs 12GB)
Higher Bandwidth: 432.0 GB/s (256.0 GB/s vs 432.0 GB/s)
More Shading Units: 7424 (4608 vs 7424)

Basic

NVIDIA

Label Name

NVIDIA

January 2023

Launch Date

January 2023

Mobile

Platform

Mobile

GeForce RTX 4070 Mobile

Model Name

GeForce RTX 4080 Mobile

GeForce 40 Mobile

Generation

GeForce 40 Mobile

1395MHz

Base Clock

1290MHz

1695MHz

Boost Clock

1665MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

Memory Specifications

8GB

Memory Size

12GB

GDDR6

Memory Type

GDDR6

128bit

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

2000MHz

Memory Clock

2250MHz

256.0 GB/s

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.

432.0 GB/s

Theoretical Performance

81.36 GPixel/s

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.

133.2 GPixel/s

244.1 GTexel/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.

386.3 GTexel/s

15.62 TFLOPS

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.

24.72 TFLOPS

244.1 GFLOPS

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.

386.3 GFLOPS

15.308 TFLOPS

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.

24.226 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.

4608

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.

7424

128 KB (per SM)

L1 Cache

128 KB (per SM)

32MB

L2 Cache

48MB

115W

TDP

110W

1.3

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

3.0

OpenCL Version

3.0