AMD Radeon R9 Nano
About GPU
The AMD Radeon R9 Nano is a powerful and compact GPU that delivers impressive performance for gaming and content creation. With 4GB of HBM memory and a memory clock of 500MHz, this GPU offers high-speed and efficient memory performance. The 4096 shading units and 2MB of L2 cache ensure smooth and responsive graphics rendering, making it suitable for demanding gaming and professional applications.
One of the standout features of the Radeon R9 Nano is its compact form factor, making it ideal for small form factor PCs without compromising on performance. With a TDP of 175W, it is also relatively power-efficient considering its high-end performance capabilities. The theoretical performance of 8.192 TFLOPS and impressive 3DMark Time Spy score of 4636 demonstrate its ability to handle modern games and graphic-intensive tasks with ease.
In real-world performance, the Radeon R9 Nano delivers excellent results. In Shadow of the Tomb Raider at 1080p resolution, it achieves a smooth 75fps, making it an excellent choice for high-refresh-rate gaming monitors.
Overall, the AMD Radeon R9 Nano is a versatile and powerful GPU that offers excellent performance for its compact size. If you are looking for a high-performance GPU for a small form factor PC or a powerful workstation, the Radeon R9 Nano is worth considering. Its efficient use of power and impressive performance make it a compelling option for gamers and professionals alike.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2015
Model Name
Radeon R9 Nano
Generation
Pirate Islands
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
Memory Type
HBM
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.
4096bit
Memory Clock
500MHz
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.
512.0 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.
64.00 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.
256.0 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.
8.192 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.
512.0 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.
8.028
TFLOPS
Miscellaneous
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.
4096
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
175W
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.
1.2
OpenCL Version
2.0
Benchmarks
Shadow of the Tomb Raider 2160p
Score
29
fps
Shadow of the Tomb Raider 1440p
Score
59
fps
Shadow of the Tomb Raider 1080p
Score
73
fps
FP32 (float)
Score
8.028
TFLOPS
3DMark Time Spy
Score
4543
Compared to Other GPU
Shadow of the Tomb Raider 2160p
/ fps
Shadow of the Tomb Raider 1440p
/ fps
Shadow of the Tomb Raider 1080p
/ fps
FP32 (float)
/ TFLOPS
3DMark Time Spy