NVIDIA GeForce GTX 1070 Mobile
About GPU
The NVIDIA GeForce GTX 1070 Mobile GPU is a powerful and reliable graphics card designed for high-performance gaming and graphic-intensive tasks on laptops. With a base clock speed of 1442MHz and a boost clock speed of 1645MHz, this GPU offers smooth and responsive gameplay with excellent frame rates.
The 8GB of GDDR5 memory combined with a memory clock speed of 2002MHz ensures fast and efficient data processing, allowing for smooth multitasking and seamless rendering of high-resolution textures and graphics. With 2048 shading units and 2MB of L2 cache, the GTX 1070 Mobile delivers impressive visual quality and detail, making it suitable for demanding AAA titles and professional applications alike.
In terms of power efficiency, the GTX 1070 Mobile has a TDP of 120W, ensuring optimal performance without excessive power consumption. The theoretical performance of 6.738 TFLOPS and a 3DMark Time Spy score of 5539 highlight the GPU's capability to handle modern games and VR experiences with ease.
Overall, the NVIDIA GeForce GTX 1070 Mobile GPU is a standout choice for gaming enthusiasts and content creators who require a high-performance graphics solution for their mobile computing needs. Its combination of speed, memory capacity, and power efficiency make it a reliable option for those looking to get the most out of their gaming and professional applications on a laptop.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
August 2016
Model Name
GeForce GTX 1070 Mobile
Generation
GeForce 10 Mobile
Base Clock
1442MHz
Boost Clock
1645MHz
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.
105.3 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.
210.6 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.
105.3 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.
210.6 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.
6.873
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
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
Benchmarks
FP32 (float)
Score
6.873
TFLOPS
3DMark Time Spy
Score
5650
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy