Mixed Precision Speedup Estimator

Estimate training speedup with FP16/BF16 on your GPU

Model & GPU Configuration

GPU Type

Your GPU model

Model Size (B)

Billion parameters

Batch Size

Samples per batch

Sequence Length

Token sequence length

Precision

Target precision

Memory Bound %

Estimated workload (0=compute, 100=memory)

Training Speedup

1.5x

Tokens/Second

850

Memory Overhead

-45%

Training Time (100K steps)

2.5h

Performance Breakdown

GPU Peak FP32: 82.1 TFLOPS

GPU Peak FP16: 164.2 TFLOPS

Achievable Utilization: 65%

Speedup from Precision: 1.4x

Memory Bandwidth Gain: 2.0x

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