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NVIDIA GeForce RTX 4090D

NVIDIA GeForce RTX 4090D

NVIDIA GeForce RTX 4090D is a Desktop video accelerator from NVIDIA. It began to be released in December 2023. The GPU has a boost frequency of 2520MHz. It also has a memory frequency of 1313MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

New this year
Top Desktop GPU: 15

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
December 2023
Model Name
GeForce RTX 4090D
Generation
GeForce 40
Base Clock
2280MHz
Boost Clock
2520MHz
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.
14592
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.
114
L1 Cache
128 KB (per SM)
L2 Cache
72MB
Bus Interface
PCIe 4.0 x16
TDP
425W

Memory Specifications

Memory Size
24GB
Memory Type
GDDR6X
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.
384bit
Memory Clock
1313MHz
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.
1008 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.
443.5 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.
1149 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.
73.54 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.
1149 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.
73.518 TFlops

FP32 (float)

73.518 TFlops

3DMark Time Spy

34299

Compared to Other GPU

76%
88%
97%
Better then 76% GPU over the past year
Better then 88% GPU over the past 3 years
Better then 97% GPU

SiliconCat Rating

15
Ranks 15 among Desktop GPU on our website
20
Ranks 20 among all GPU on our website
FP32 (float)
Instinct MI300X
AMD, December 2023
163.351 TFlops
L40G
NVIDIA, October 2022
89.942 TFlops
GeForce RTX 4090D
NVIDIA, December 2023
73.518 TFlops
Radeon PRO W7900
AMD, April 2023
61.302 TFlops
H100 PCIe
NVIDIA, March 2022
51.205 TFlops
3DMark Time Spy
GeForce RTX 4090
NVIDIA, September 2022
36957
GeForce RTX 4090D
NVIDIA, December 2023
34299
Radeon RX 6800M
AMD, May 2021
11457
9099
GeForce RTX 2070 Mobile
NVIDIA, January 2019
7229