and does non-trivial matrix math.
</p>
- <p>ARES-6 rewards browsers that start up quickly and run smoothly. It's not enough to just measure the total running time of a workload. Browsers may perform differently for the same workload depending on how many times it has run. Garbage collection runs periodically, making some iterations take longer than others. Code that runs repeatedly gets optimized by the browser, so the first iteration of any workload is more expensive than the rest. ARES-6 runs Air, Basic, and Babylon for 200 iterations, and ML for 60 iterations, and reports the execution time of the first iteration, the average of the 4 worst iterations, and the overall geometric mean. Each of these values is given an equal weight when computing the ovarall time. ARES-6 equally rewards fast start-up, low jank, and sophisticated adaptive optimizations for long-running code.</p>
+ <p>ARES-6 rewards browsers that start up quickly and run smoothly. It's not enough to just measure the total running time of a workload. Browsers may perform differently for the same workload depending on how many times it has run. Garbage collection runs periodically, making some iterations take longer than others. Code that runs repeatedly gets optimized by the browser, so the first iteration of any workload is more expensive than the rest. ARES-6 runs Air, Basic, and Babylon for 200 iterations, and ML for 60 iterations. For each benchmark, ARES-6 reports the time of the first iteration, the average of the 4 worst iterations, and the average of all but the first iteration. ARES-6 also reports an overall score which is the geometric mean of all twelve of these numbers. ARES-6 equally rewards fast start-up, low jank, and sophisticated adaptive optimizations for long-running code.</p>
<p>Each ARES-6 sample has 200 iterations of Air, Basic, and Babylon, and 60 iterations of ML. ARES-6 runs 6 samples, and reports the average with 95% confidence intervals. Each sample runs in a fresh <code>iframe</code> to simulate some of the effects of page navigation.</p>
+2017-07-14 Saam Barati <sbarati@apple.com>
+
+ Fix ambiguous description text in ARES-6 about the data the benchmark measures
+ https://bugs.webkit.org/show_bug.cgi?id=174510
+
+ Rubber stamped by Filip Pizlo.
+
+ * ARES-6/about.html:
+
2017-07-07 Mathias Bynens <mathias@qiwi.be>
Speedometer 2.0: Fix vanilla JS example
and does non-trivial matrix math.
</p>
- <p>ARES-6 rewards browsers that start up quickly and run smoothly. It's not enough to just measure the total running time of a workload. Browsers may perform differently for the same workload depending on how many times it has run. Garbage collection runs periodically, making some iterations take longer than others. Code that runs repeatedly gets optimized by the browser, so the first iteration of any workload is more expensive than the rest. ARES-6 runs Air, Basic, and Babylon for 200 iterations, and ML for 60 iterations, and reports the execution time of the first iteration, the average of the 4 worst iterations, and the overall geometric mean. Each of these values is given an equal weight when computing the ovarall time. ARES-6 equally rewards fast start-up, low jank, and sophisticated adaptive optimizations for long-running code.</p>
+ <p>ARES-6 rewards browsers that start up quickly and run smoothly. It's not enough to just measure the total running time of a workload. Browsers may perform differently for the same workload depending on how many times it has run. Garbage collection runs periodically, making some iterations take longer than others. Code that runs repeatedly gets optimized by the browser, so the first iteration of any workload is more expensive than the rest. ARES-6 runs Air, Basic, and Babylon for 200 iterations, and ML for 60 iterations. For each benchmark, ARES-6 reports the time of the first iteration, the average of the 4 worst iterations, and the average of all but the first iteration. ARES-6 also reports an overall score which is the geometric mean of all twelve of these numbers. ARES-6 equally rewards fast start-up, low jank, and sophisticated adaptive optimizations for long-running code.</p>
<p>Each ARES-6 sample has 200 iterations of Air, Basic, and Babylon, and 60 iterations of ML. ARES-6 runs 6 samples, and reports the average with 95% confidence intervals. Each sample runs in a fresh <code>iframe</code> to simulate some of the effects of page navigation.</p>
+2017-07-14 Saam Barati <sbarati@apple.com>
+
+ Fix ambiguous description text in ARES-6 about the data the benchmark measures
+ https://bugs.webkit.org/show_bug.cgi?id=174510
+
+ Rubber stamped by Filip Pizlo.
+
+ * ARES-6/about.html:
+
2017-06-07 Saam Barati <sbarati@apple.com>
ARES-6 incorrectly measures Worst 4 Iterations
git://git.webkit.org / WebKit-https.git / commitdiff