Sentence examples for benchmark table from inspiring English sources

Each existing system's main features are presented in a benchmark table, where each feature is assigned a weighting factor.

We apply the Stream benchmark (Table 3) to our virtual machines.

It's also worth noting that some of the results were obtained on prototype samples, rather than shipped smartphones, so haven't yet been included in the benchmark table on the team's website.

As a benchmark, Table 11 shows the (biased) OLS estimates for the three countries, which reveals the same patterns as for micro firms: negative correlations in Spain and positive correlations in France and the UK.

They are illustrated in Table 3. Fig. 7 Final implemented architecture for PI benchmark Table 3 Response time of implemented architecture Configuration Response time Speed-up C1 8394 ms – C2 9322 ms 0.9 × C3 4751 ms 1.7 × C4 3198 ms 2.6 × C5 2474 ms 3.4 × C7 2257 ms 3.7 ×.

c Box plot of the CTDIvol-median value, interquartile range, total range and outliers for all CT-lumbar spine examinations on four CT systems with the national P75 and P25 DRLs as benchmark Table 4 Median CTDIvol (mGy) per scanner for the different CT regions.

Since different platforms are used for our study all CPU times are transformed to a Pentium (178 MFlops) using Linpack benchmark tables.

The performance of Textpresso on the evaluation dataset at the sentence level is comparable to that presented in the internal benchmarking for Category 4 (precision and recall 80.1% and 30.0%, respectively, compare sentence level in Benchmark Tables 1 and 4).

Fig. 4 Cumulative score of the benchmarks Table 2 MAE of the benchmarks Algorithm MAE (year) GPR (K=10) 8.83 GPR (K=100) 7.94 GPR (K=1000) 7. 3 0 SVR (linear) 8.73 SVR (Gaussian) 7.66 MLG 10.98 OPLDA 8.45 OPMFA 9.08 Bold and italic bold indicate the best and second-best performance.

Based on our benchmarks (Table 1), we estimate this analysis would have completed in ~9 days on a single CPU using the same algorithm.

Benchmarking (Table 1) has shown annotation rates of ∼1000 variants per second for a single sample (HG00096) extracted from 1000 Genomes Phase 1 data (The 1000 Genomes Project Consortium, 2012).