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Calcrivo

Encryption Overhead

Calculate the bandwidth and latency overhead added by encrypting network traffic.

Inputs

MB

Off = software-only implementation

Estimated Encryption Time

100 ms

Cipher Throughput

10,000MB/s

Cipher Throughput

80,000.0Mbps

Encryption Time

0.100000s

Step by step

  1. Values used

    Data Size = 1,000 MB; Cipher Algorithm = AES-256; Hardware Acceleration (AES-NI) = Yes

  2. Encryption time

    encryption_time = data_size / throughput

  3. Estimated Encryption Time

    = 100 ms

  4. Cipher Throughput

    = 10,000 MB/s

  5. Cipher Throughput

    = 80,000.0 Mbps

  6. Encryption Time

    = 0.100000 s

How it works

Encryption overhead is primarily a function of cipher throughput: how many bytes per second the CPU can encrypt. Hardware-accelerated AES (via AES-NI instructions found on virtually all modern x86 CPUs) can exceed 10 GB/s, while a software-only AES implementation without that acceleration is roughly 20x slower, around 500 MB/s. ChaCha20 was specifically designed to run fast in pure software (using standard ALU operations rather than needing dedicated hardware), which is why it's often preferred on mobile/ARM devices lacking AES hardware support.

Formula

Encryption time

encryption_time = data_size / throughput

S
Data size in MB
R
Cipher throughput in MB/s

Frequently Asked Questions

Why does AES-NI make such a big difference?

AES-NI is a set of dedicated CPU instructions that perform AES round operations directly in hardware, avoiding the many software lookup-table operations a pure-software implementation needs. This typically yields a 10-20x speedup over software-only AES.

Why is ChaCha20 sometimes faster than AES without hardware acceleration?

ChaCha20 was designed using only additions, rotations, and XORs — operations any CPU handles efficiently — so it doesn't rely on specialized hardware to be fast. On devices without AES-NI (many older or lower-power ARM chips), ChaCha20 can outperform software AES.

Is AES-256 significantly slower than AES-128?

Only slightly — AES-256 uses 14 encryption rounds versus AES-128's 10, so it's roughly 40% more computational work per block, not the doubling its key-length name might suggest. Hardware acceleration narrows this gap further.

Does encryption overhead ever bottleneck a network link?

Rarely on modern hardware with acceleration enabled — a single core can often out-encrypt a 10 Gbps link. It becomes a real bottleneck mainly on constrained embedded devices, older CPUs without AES-NI, or when encrypting/decrypting at very high aggregate rates across many simultaneous connections.

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