GPU Compute Power CUDA Cores Calculator

GPU Compute Power CUDA Cores Calculator calculator can be used to estimate the compute power of a GPU based on its CUDA core count, clock speed, and memory bandwidth.

Input Parameters

Calculation Results

Calculation Formula

Compute Power = (CUDA Cores × Clock Speed × Memory Bandwidth) / 1024

Where:
CUDA Cores: Number of processing units in the GPU.
Clock Speed: Speed at which the GPU operates (in GHz).
Memory Bandwidth: Data transfer rate of the GPU memory (in GB/s).

Results

Compute Power (TFLOPS):

0.00

Per Core Compute Power (GFLOPS):

0.00

GPU Compute Power CUDA Cores Calculator Calculator Usage Guide

Learn how to use the GPU Compute Power CUDA Cores Calculator calculator and its working principles

How to Use the Calculator

  1. Enter the number of CUDA cores in your GPU.
  2. Input the clock speed of your GPU in GHz.
  3. Provide the memory bandwidth of your GPU in GB/s.
  4. Click the "Calculate" button to compute the GPU compute power.
  5. The results will display the total compute power in TFLOPS and the per-core compute power in GFLOPS.

Understanding the Formula

The calculator uses the following formula to estimate the GPU compute power:

Compute Power (TFLOPS) = (CUDA Cores × Clock Speed × Memory Bandwidth) / 1024

This formula multiplies the number of CUDA cores by the clock speed and memory bandwidth to estimate the total floating-point operations per second the GPU can perform. The result is then divided by 1024 to convert it from FLOPS to TFLOPS.

Example

For a GPU with 2400 CUDA cores, a clock speed of 1.5 GHz, and a memory bandwidth of 672 GB/s:

  • Compute Power = (2400 × 1.5 × 672) / 1024 ≈ 2433.6 TFLOPS
  • Per Core Compute Power = 2433.6 / 2400 ≈ 1.01 GFLOPS