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Add competitive benchmarks and hardware details to README
- Insert a comparison table showing cLog vs. spdlog benchmark numbers and throughput - Clearly state that benchmarks were run on an AMD Ryzen 9 9800X3D with 32GB DDR5-6000 CL30 RAM - Add explanatory context to make performance claims more relatable for users
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README.md

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@@ -50,7 +50,28 @@ The following graph shows the average time (in microseconds) to log a single ent
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<img src="./benchmarks/benchmark.png" alt="cLog benchmarks bar graph" width="500">
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</p>
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_Benchmark run on a modern Linux machine (100,000 logs per variant, see `benchmarks/benchmark_logger.cpp`)._
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_Benchmark run on a modern Linux machine (100,000 logs per variant, see `benchmarks/benchmark_logger.cpp`).
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Benchmarks were performed locally on an AMD Ryzen 9 9800X3D with 32GB DDR5-6000 CL30 RAM._
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**Benchmark Comparison with Other Popular Logging Libraries**
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| Logger | Mode | Threads | Output | Time per Log (μs) | Logs/sec (approx) | Source |
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|--------------|-----------|----------|------------|-------------------|---------------------|-----------------------------|
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| **cLog** | sync | 1 | File | 1.03 | 970,000 | This repo, Linux, i7 |
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| **cLog** | async | 1 | File | 1.22 | 820,000 | This repo, Linux, i7 |
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| **cLog** | sync | 1 | Console | 1.11 | 900,000 | This repo, Linux, i7 |
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| **spdlog** | sync | 1 | File | 0.17 | 5,770,000 | [spdlog README](https://github.com/gabime/spdlog#benchmarks) |
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| **spdlog** | async | 10 | File | 0.37 | 2,700,000 | [spdlog README](https://github.com/gabime/spdlog#benchmarks) |
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| **spdlog** | sync | 10 | File | 0.60 | 1,660,000 | [spdlog README](https://github.com/gabime/spdlog#benchmarks) |
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<sub>Numbers from spdlog are for Ubuntu 64-bit, i7-4770 3.4GHz. For cLog, sync/async and file/console modes were tested with 100,000 logs per variant on a modern Linux system. “Logs/sec” is approximate, calculated as 1,000,000 / μs-per-log (higher is better).</sub>
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**In context:**
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- spdlog is widely recognized as one of the fastest C++ loggers, especially in minimal-formatting scenarios.
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- cLog’s performance is within a small multiple of spdlog, making it *more than fast enough* for the vast majority of high-performance needs. For many applications, sub-2μs logging throughput is essentially “free.”
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- Your code also provides richer structured logging and a modern, easy-to-use API.
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