NVIDIA GeForce RTX 2070 Max Q
About GPU
The NVIDIA GeForce RTX 2070 Max Q GPU is a powerful and efficient mobile graphics card that delivers impressive performance for gaming and other graphic-intensive tasks. With a base clock of 885MHz and a boost clock of 1185MHz, this GPU provides fast and smooth gameplay experiences. The 8GB of GDDR6 memory allows for high-resolution textures and smooth rendering, while the 1500MHz memory clock ensures fast data transfer speeds.
The 2304 shading units and 4MB L2 cache contribute to the GPU's ability to handle complex graphical processes with ease, while the 90W TDP ensures efficient power consumption. The theoretical performance of 5.46 TFLOPS and a 3DMark Time Spy score of 6905 demonstrate the GPU's capabilities for handling demanding gaming and content creation tasks.
The NVIDIA GeForce RTX 2070 Max Q GPU also supports real-time ray tracing and AI-enhanced graphics, allowing for more realistic lighting, shadows, and reflections in games and other applications. This feature enhances the overall visual quality of the content being displayed, providing a more immersive and lifelike experience.
Overall, the NVIDIA GeForce RTX 2070 Max Q GPU is a high-performing and power-efficient mobile graphics card that is well-suited for gaming, content creation, and other graphic-intensive tasks. Its combination of high clock speeds, ample memory, and advanced features make it a compelling choice for those seeking a premium graphics experience on a mobile platform.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2019
Model Name
GeForce RTX 2070 Max Q
Generation
GeForce 20 Mobile
Base Clock
885MHz
Boost Clock
1185MHz
Bus Interface
PCIe 3.0 x16
Transistors
10,800 million
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.
288
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
12 nm
Architecture
Turing
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
1500MHz
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.
384.0 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.
75.84 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.
170.6 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.
10.92 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.
170.6 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.
5.351
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.
2304
L1 Cache
64 KB (per SM)
L2 Cache
4MB
TDP
90W
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
7.5
Power Connectors
None
Shader Model
6.6
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.
64
Benchmarks
FP32 (float)
Score
5.351
TFLOPS
3DMark Time Spy
Score
6767
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy