NVIDIA Tesla P40

NVIDIA Tesla P40

NVIDIA Tesla P40 is a Professional video accelerator from NVIDIA. It began to be released in September 2016. The GPU has a boost frequency of 1531MHz. It also has a memory frequency of 1808MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

Basic

Label Name
NVIDIA
Platform
Professional
Launch Date
September 2016
Model Name
Tesla P40
Generation
Tesla Pascal
Base Clock
1303MHz
Boost Clock
1531MHz
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.
3840
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.
30
Transistors
11,800 million
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
240
L1 Cache
48 KB (per SM)
L2 Cache
3MB
Bus Interface
PCIe 3.0 x16
Foundry
TSMC
Process Size
16 nm
Architecture
Pascal
TDP
250W

Memory Specifications

Memory Size
24GB
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.
384bit
Memory Clock
1808MHz
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.
694.3 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.
147.0 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.
367.4 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.
183.7 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.
367.4 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.
11.994 TFlops

Miscellaneous

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
OpenGL
4.6
DirectX
12 (12_1)
CUDA
6.1
Power Connectors
8-pin EPS
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
96
Shader Model
6.7
Suggested PSU
600W

FP32 (float)

11.994 TFlops

Blender

786

OctaneBench

167

Compared to Other GPU

SiliconCat Rating

263
Ranks 263 among all GPU on our website
FP32 (float)
Radeon RX 6850M XT
AMD, January 2022
12.689 TFlops
Arc A580
Intel, October 2023
12.286 TFlops
Tesla P40
NVIDIA, September 2016
11.994 TFlops
GeForce RTX 3060 Mobile
NVIDIA, January 2021
11.384 TFlops
Quadro RTX 5000 Mobile
NVIDIA, May 2019
10.868 TFlops
Blender
3543
GeForce RTX 2080 Max Q
NVIDIA, January 2019
1573
Tesla P40
NVIDIA, September 2016
786
Quadro P2200
NVIDIA, June 2019
343
GeForce GTX 650 Ti Boost
NVIDIA, March 2013
111
OctaneBench
GeForce RTX 4090
NVIDIA, September 2022
1341
RTX A4000
NVIDIA, April 2021
350
Tesla P40
NVIDIA, September 2016
167
GeForce GTX 780
NVIDIA, May 2013
88
T550 Mobile
NVIDIA, May 2022
47