NVIDIA GeForce GTX 1070 Max Q
About GPU
The NVIDIA GeForce GTX 1070 Max-Q GPU is a powerful and efficient mobile graphics card that offers high performance for gaming, content creation, and other graphics-intensive tasks. With a base clock speed of 1215MHz and a boost clock speed of 1379MHz, this GPU delivers smooth and consistent performance, even when running demanding applications.
With 8GB of GDDR5 memory and a memory clock speed of 2002MHz, the GTX 1070 Max-Q provides ample memory and bandwidth for handling high-resolution textures and complex scenes. The 2048 shading units and 2MB of L2 cache further contribute to the GPU's ability to render detailed and lifelike graphics.
Despite its impressive performance capabilities, the GTX 1070 Max-Q remains power-efficient, with a TDP of 115W. This allows for longer battery life and reduced heat output, making it suitable for use in thin and light laptops.
In terms of raw performance, the GTX 1070 Max-Q is capable of delivering a theoretical performance of 5.648 TFLOPS and achieves a score of 4960 in 3DMark Time Spy. These numbers indicate that the GPU is more than capable of handling modern games at high settings and resolutions.
Overall, the NVIDIA GeForce GTX 1070 Max-Q GPU is a top-of-the-line mobile graphics card that offers exceptional performance, efficiency, and versatility for users who require high-quality graphics on the go. Whether you're a gamer, a content creator, or a professional in need of a powerful mobile workstation, the GTX 1070 Max-Q is a solid choice.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
June 2017
Model Name
GeForce GTX 1070 Max Q
Generation
GeForce 10 Mobile
Base Clock
1215MHz
Boost Clock
1379MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
GDDR5
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
2002MHz
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.
256.3 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.
88.26 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.
176.5 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.
88.26 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.
176.5 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.
5.761
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.
16
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.
2048
L1 Cache
48 KB (per SM)
L2 Cache
2MB
TDP
115W
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
5.761
TFLOPS
3DMark Time Spy
Score
4861
Blender
Score
537
OctaneBench
Score
114
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Blender
OctaneBench