NVIDIA GeForce RTX 2070 SUPER Max Q
About GPU
The NVIDIA GeForce RTX 2070 SUPER Max Q GPU is a powerful and efficient graphics processing unit designed for mobile platforms. With a base clock of 930MHz and a boost clock of 1155MHz, this GPU delivers impressive performance for gaming, content creation, and other graphical tasks.
Equipped with 8GB of GDDR6 memory and a memory clock speed of 1375MHz, the RTX 2070 SUPER Max Q is capable of handling large, high-resolution textures and complex visual effects with ease. Its 2560 shading units and 4MB of L2 cache further contribute to its high level of graphic processing power.
One of the standout features of this GPU is its low power consumption, with a thermal design power (TDP) of just 80W. This allows for longer battery life and improved energy efficiency, making it an excellent choice for gaming laptops and other portable devices.
In terms of performance, the RTX 2070 SUPER Max Q boasts a theoretical performance of 5.914 TFLOPS and achieves a 3DMark Time Spy score of 7483, demonstrating its ability to handle demanding gaming and rendering tasks with relative ease.
Overall, the NVIDIA GeForce RTX 2070 SUPER Max Q GPU is a compelling option for those in need of high-performance graphics capabilities in a mobile form factor. Its combination of power efficiency, memory capacity, and processing power make it well-suited for a wide range of applications, from gaming to professional content creation.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
April 2020
Model Name
GeForce RTX 2070 SUPER Max Q
Generation
GeForce 20 Mobile
Base Clock
930MHz
Boost Clock
1155MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
GDDR6
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
1375MHz
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.
352.0 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.
73.92 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.
184.8 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.
11.83 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.
184.8 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.
5.796
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.
40
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.
2560
L1 Cache
64 KB (per SM)
L2 Cache
4MB
TDP
80W
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
5.796
TFLOPS
3DMark Time Spy
Score
7333
Blender
Score
1972
OctaneBench
Score
195
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Blender
OctaneBench