Ethereum co-founder Vitalik Buterin has urged developers working on zero-knowledge (ZK) and fully homomorphic encryption (FHE) technologies to adopt clearer methods for reporting performance data. In a post shared on X today, Buterin recommended that teams express efficiency using a standardized ratio.
Ethereum co-founder Vitalik Buterin has proposed that developers working on zero-knowledge (ZK) proofs and fully homomorphic encryption (FHE) adopt a standardized way of reporting performance. Instead of only citing operations per second, Buterin suggests comparing cryptographic computation time to raw computation time, expressing efficiency as a ratio.
This approach allows developers to quantify the performance cost of replacing traditional trust-based systems with cryptographic methods.
Transparency Through Ratios
Buterin emphasized that ratio-based metrics provide a hardware-independent and more informative benchmark. Developers already know the baseline processing time for computations, and the efficiency ratio reveals the expected overhead introduced by cryptographic operations.
“It gives a very informative number: how much efficiency am I sacrificing by making my app cryptographic instead of trust-dependent?” Buterin wrote. While he acknowledged that different operations—especially those involving parallelization or memory access—can vary across hardware, he believes ratios offer a universal standard for comparing ZK and FHE implementations.
Developers Discuss Benchmarking Challenges
The post sparked discussion among cryptography experts. Lukas Helminger noted that benchmarking FHE can be more complex than ZK due to network configurations and multi-party computation. Buterin clarified that FHE typically involves a single party, with exceptions like input submission or threshold decryption, which are not proportional to computational workload. He also suggested measuring bandwidth and latency for real-world deployments.
Other researchers supported Buterin’s call for standardization. Matt McAteer highlighted the importance of proof size ratios in ZK systems, while Muhammad Azhar argued that efficiency ratios allow meaningful comparisons across different hardware and cryptographic schemes, avoiding the misleading simplicity of raw operations-per-second benchmarks.
Toward a Common Cryptographic Benchmark
Buterin’s proposal addresses a persistent challenge in cryptography: the lack of consistent performance metrics. As ZK proofs and FHE gain adoption in blockchain, AI, and privacy-focused applications, standardized benchmarks could improve transparency and accelerate development. By encouraging developers to report efficiency ratios, Buterin aims to clarify the real-world costs of cryptography—where the price of privacy and security is often hidden behind impressive-sounding performance numbers.
