EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 20·5 min read
Pitfalls of Benchmarking on Modern Systems
TL;DR
Benchmarking on modern systems is fraught with pitfalls due to their complexity and unpredictability. Understanding the causes behind benchmark results is crucial for accurate performance analysis.
✦ Why It Matters
Prioritize hypothesis testing in your benchmarking processes to improve accuracy and insights.
Key Takeaways
- Control for variables like CPU core types and memory allocation.
- Collect extensive data to understand performance distributions.
- Be aware of environmental factors affecting performance.
- Document your benchmarking methodology for transparency.
How It Works
Benchmarking involves running a program multiple times to measure performance. In this case, a Java application was tested under varying conditions, revealing that just-in-time (JIT) compilation optimizes performance over iterations.
However, external factors like operating system decisions and hardware changes can introduce variability, making it essential to control these elements for accurate results.