The Naive Bayes design is validated on an AMD Alveo™ U200 board at 266 MHz frequency. The hardware resource utilizations are listed in the following table.
| Name | LUT | BRAM | URAM | DSP |
| Platform | 185929 | 345 | 0 | 10 |
| naiveBayesTrain_kernel | 70058 | 114 | 256 | 467 |
| User Budget | 996311 | 1815 | 960 | 6830 |
| Percentage | 7.03% | 6.28% | 26.67% | 6.84% |
- The performance is shown below.
- This benchmark takes 0.519421 ms to train 999 samples with 10 features, so the throughput is 73.37 Mb/s.