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As noted in a posting to python-dev, I've re-evaluated my test methodology.
The results are as follows, with details of the PyBench runs in the 
pybench_summary.txt attachment:
----------------------------------------------------------------------
test trunk no-freelists LIFO(500i,100f)
 case 1 case 2 case 1 case 2 case 1 case 2
----------------------------------------------------------------------
pystone 26500 26100 27000 25600 27000 26600
int 1 7.27us 9.09us 6.69us 20.4us 6.64us 9.25us
int 2 10.4us 9.48us 20.9us 20.9us 10.5us 9.69us
int 3 381us 360us 792us 813us 805us 780us
int 4 393us 373us 829us 834us 844us 799us
float 1 1.14ms 1.1ms 1.2ms 1.2ms 1.2ms 1.27ms
float 2 773us 831us 1.05ms 908us 865us 967us
float 3 733us 759us 970us 825us 804us 906us
float 4 74.6us 76.9us 100us 83.7us 77.6us 86.9us
float 5 7.88ms 8.09ms 10.7ms 8.93ms 8.46ms 9.43ms
pybench 16716ms 16666ms 16674ms 16612ms 16612ms 16611ms
script a 30.7s 30.6s 33.0s 33.0s 32.3s 32.6s
script b 41.7s 40.6s 42.1s 39.4s 40.5s 41.8s
----------------------------------------------------------------------
case: 1=std, 2=no small ints
test details
============
pystone:
 average of 3 runs
int 1:
 ./python -m timeit -s "range(1000)" "range(250)"
int 2:
 ./python -m timeit -s "range(1000)" "range(257,507)"
int 3:
 ./python -m timeit -s "range(10000)" "range(10000)"
int 4:
 ./python -m timeit -s "range(11000)" "range(257,10507)"
float 1:
 ./python -m timeit -s "[float(x) for x in range(1000)]" \
 "[float(x) for x in range(1000)]"
float 2:
 ./python -m timeit -s "map(float, range(1000))" "map(float, range(1000))"
float 3:
 ./python -m timeit -s "t = range(1000)" "map(float, t)"
float 4:
 ./python -m timeit -s "t = range(100)" "map(float, t)"
float 5:
 ./python -m timeit -s "t = range(10000)" "map(float, t)"
pybench:
 average runtime per round of ./python Tools/pybench/pybench.py -f <logfile>
script a:
<code>
import time
def b(time_now=time.clock):
 limit_val = 2000000
 d = [None] * limit_val
 start_time = time_now()
 for j in xrange(25):
 for i in xrange(limit_val):
 d[i] = i
 for i in d:
 d[i] = None
 return time_now() - start_time
if __name__ == '__main__':
 print 'elapsed: %s s' % b()
</code>
script b:
<code>
import time
def b(time_now=time.clock):
 limit_val = 1000000
 f = [None] * limit_val
 d = range(limit_val)
 start_time = time_now()
 for j in xrange(25):
 for i in d:
 f[i] = float(i)
 for i in d:
 f[i] = None
 return time_now() - start_time
if __name__ == '__main__':
 print 'elapsed: %s s' % b()
</code>