NVIDIA GeForce GTX 1070 GDDR5X
About GPU
The NVIDIA GeForce GTX 1070 GDDR5X GPU is a powerful and efficient graphics processing unit designed for desktop computers. With a base clock speed of 1506MHz and a boost clock speed of 1683MHz, this GPU offers excellent performance for gaming, content creation, and other graphics-intensive tasks. The 8GB of GDDR5X memory and a memory clock speed of 1001MHz provide ample memory bandwidth for handling high-resolution textures and complex shaders.
With 1920 shading units and 2MB of L2 cache, the GTX 1070 is capable of handling demanding graphics workloads with ease. The GPU has a TDP of 150W, making it relatively power-efficient compared to other high-performance GPUs on the market. Additionally, the theoretical performance of 6.463 TFLOPS ensures smooth gameplay and fast rendering times for 3D applications.
One of the standout features of the GTX 1070 is its ability to deliver solid performance in virtual reality (VR) applications, making it an excellent choice for VR gaming and content creation. The GPU is also equipped with NVIDIA's advanced technologies such as G-SYNC and Ansel, which enhance the overall gaming and visual experience.
In conclusion, the NVIDIA GeForce GTX 1070 GDDR5X GPU offers exceptional performance, making it a great choice for gamers, content creators, and professionals who require powerful and reliable graphics processing capabilities. Its efficient design, advanced features, and solid performance make it a top contender in the desktop GPU market.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
December 2018
Model Name
GeForce GTX 1070 GDDR5X
Generation
GeForce 10
Base Clock
1506MHz
Boost Clock
1683MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
GDDR5X
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
1001MHz
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.
107.7 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.
202.0 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.
101.0 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.
202.0 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.
6.592
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.
15
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.
1920
L1 Cache
48 KB (per SM)
L2 Cache
2MB
TDP
150W
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
6.592
TFLOPS
Blender
Score
561
OctaneBench
Score
114
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench