NVIDIA RTX 5000 Embedded Ada Generation
The NVIDIA RTX 5000 Embedded Ada Generation GPU is a powerhouse in the world of mobile graphics processing. With a base clock of 1425MHz and a boost clock of 2115MHz, this GPU offers lightning-fast performance for a variety of applications. Its impressive 16GB of GDDR6 memory and memory clock speed of 2250MHz ensure that it can handle even the most demanding tasks with ease.
One of the standout features of the RTX 5000 is its massive 9728 shading units, which allow for incredibly detailed and immersive graphics rendering. Additionally, its 64MB of L2 cache ensures that data can be quickly accessed and processed, further enhancing its performance capabilities.
With a TDP of 120W, the RTX 5000 strikes a balance between power efficiency and raw processing power, making it a great choice for mobile applications where energy consumption is a concern. Its theoretical performance of 41.15 TFLOPS showcases its ability to handle complex and resource-intensive workloads.
Overall, the NVIDIA RTX 5000 Embedded Ada Generation GPU is a top-of-the-line option for anyone in need of high-performance graphics processing in a mobile platform. Whether used for gaming, content creation, or scientific computing, this GPU delivers exceptional speed, power, and efficiency, making it a valuable tool for a wide range of users.
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Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
March 2023
Model Name
RTX 5000 Embedded Ada Generation
Generation
Quadro Ada-M
Base Clock
1425MHz
Boost Clock
2115MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
16GB
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
2250MHz
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.
576.0 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.
236.9 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.
643.0 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.
41.15 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.
643.0 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.
41.973
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.
76
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.
9728
L1 Cache
128 KB (per SM)
L2 Cache
64MB
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
41.973
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS