def main():
if len(sys.argv) < 2:
print 'Usage: %s [url]' % (sys.argv[0])
exit(-1)
url_match = re.match('^(.*)\/view\/(\d+)$', sys.argv[1])
if url_match is None:
print 'Error: Bad URL argument. Exiting.'
exit(-1)
url = '%s/show/%s.geekbench' % (url_match.group(1), url_match.group(2))
data = urllib.urlopen(url).read()
document = geekbench.parse_document(data)
sections = ['Integer', 'Floating Point', 'Memory', 'Stream']
section_weights = { 'Integer' : 0.35, 'Floating Point' : 0.35, 'Memory' : 0.2, 'Stream' : 0.1 }
section_scores = {}
# Iterate through the sections in this document.
for section in document.sections:
scores = []
for workload in section.workloads:
for result in workload.results:
if result.threads == 1:
scores.append(int(result.score))
section_scores[section.name] = sum(scores, 0) / len(scores)
geekbench_score = 0
for section in sections:
section_title = '%s Performance:' % (section,)
print '%-30s %5d' % (section_title, section_scores[section])
geekbench_score += section_weights[section] * section_scores[section]
print '\nGeekbench Score: %5d' % (int(geekbench_score),)
def main():
if len(sys.argv) < 2:
print 'Usage: %s [filename]' % (sys.argv[0])
exit(-1)
document = geekbench.parse_document(open(sys.argv[1]).read())
singlecore_scores = []
multicore_scores = []
# Iterate through the sections in this document.
for section in document.sections:
# Since we're calculating the processors's single-core and multi-core
# performance, only gather scores from the integer and floating point
# sections (and skip the memory sections).
if section.id not in ['1', '2']:
continue
for workload in section.workloads:
for result in workload.results:
if result.threads == 1:
singlecore_scores.append(int(result.score))
else:
multicore_scores.append(int(result.score))
print 'Geekbench Score: %7d' % (int(document.score), )
print 'Single-Core Score: %7d' % (sum(singlecore_scores, 0) / len(singlecore_scores), )
print 'Multi-Core Score: %7d' % (sum(multicore_scores, 0) / len(multicore_scores), )
def main():
document = geekbench.parse_document(open(sys.argv[1], 'rt').read())
# Display system information by iterating through the system information
# metrics.
for metric in document.metrics:
print ' %-25s %s' % (metric.name, metric.value)
print '\n'
# Iterate through the sections in this document.
for section in document.sections:
print '%s Performance' % (section.name,)
# Iterate through the workloads in this section.
for workload in section.workloads:
print ' ', workload.name
# Iterate through the individual results in this workload.
for result in workload.results:
print ' ',
# Display whether the workload was run in single-threaded or
# multi-threaded mode.
if result.threads == 1:
print 'single-threaded',
else:
print 'multi-threaded',
# Display whether the workload contains scalar or vector
# (i.e., SIMDized) code.
if result.simd == 0:
print 'scalar',
else:
print 'vector',
print result.score
print '\n',
# Display the overall score.
print 'Geekbench 2 Score: ', document.score
def main():
xml = urllib2.urlopen('%s.geekbench' % (sys.argv[1],)).read()
document = geekbench.parse_document(xml)
for section in document.sections:
scores = []
for workload in section.workloads:
if skip_workload(workload):
continue
for result in workload.results:
scores.append(result.score)
print scores
section.score = sum(scores) / len(scores)
weights = {
1: 0.35,
2: 0.35,
3: 0.20,
4: 0.10
}
document.score = 0
for section in document.sections:
document.score += int(section.score * weights[section.id])
# Display system information by iterating through the system information
# metrics.
for metric in document.metrics:
print ' %-25s %s' % (metric.name, metric.value)
print '\n'
# Iterate through the sections in this document.
for section in document.sections:
print '%s Performance' % (section.name,)
# Iterate through the workloads in this section.
for workload in section.workloads:
if skip_workload(workload):
continue
print ' ', workload.name
# Iterate through the individual results in this workload.
for result in workload.results:
print ' ',
# Display whether the workload was run in single-threaded or
# multi-threaded mode.
if result.threads == 1:
print 'single-threaded',
else:
print 'multi-threaded',
# Display whether the workload contains scalar or vector
# (i.e., SIMDized) code.
if result.simd == 0:
print 'scalar',
else:
print 'vector',
print result.score
print '\n',
# Display the overall score.
print 'Geekbench 2 Score: ', document.score
