Skip to content

Commit a8c4c5d

Browse files
alphabetanetcomalphabetanetcom
authored
Comparative Performance Benchmarks
1 parent 2451614 commit a8c4c5d

File tree

2 files changed

+398
-0
lines changed

2 files changed

+398
-0
lines changed

‎python_performance_benchmark_anaconda_test.log

Lines changed: 316 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,316 @@
1+
Date of testing: 2024-12-24 13:12:00
2+
System Information
3+
============================================================
4+
Operating System: Windows (64bit)
5+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
6+
Python Version: 3.6.13 |Anaconda, Inc.| (default, Mar 16 2021, 11:37:27) [MSC v.1916 64 bit (AMD64)]
7+
============================================================
8+
9+
Starting benchmark...
10+
11+
Benchmark Summary
12+
============================================================
13+
14+
Matrix Multiplication Results:
15+
Size 200x200:
16+
Median time: 0.806584 seconds
17+
Operations/second: 9,347,023.41
18+
Coefficient of variation: 13.53%
19+
Performance Score: 1.24
20+
21+
Recursive Fibonacci Results:
22+
n=35:
23+
Time taken: 2.383864 seconds
24+
Performance Score: 0.42
25+
26+
Bubble Sort Results:
27+
List size 5000:
28+
Time taken: 1.477196 seconds
29+
Performance Score: 0.68
30+
31+
Prime Number Generation Results:
32+
Limit 30000:
33+
Primes found: 3245
34+
Time taken: 1.881664 seconds
35+
Performance Score: 0.53
36+
37+
Summary Evaluation (Higher is better): 2.867686
38+
39+
40+
Date of testing: 2024-12-24 13:12:30
41+
System Information
42+
============================================================
43+
Operating System: Windows (64bit)
44+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
45+
Python Version: 3.7.16 (default, Jan 17 2023, 16:06:28) [MSC v.1916 64 bit (AMD64)]
46+
============================================================
47+
48+
Starting benchmark...
49+
50+
Benchmark Summary
51+
============================================================
52+
53+
Matrix Multiplication Results:
54+
Size 200x200:
55+
Median time: 0.932984 seconds
56+
Operations/second: 8,546,330.75
57+
Coefficient of variation: 1.32%
58+
Performance Score: 1.07
59+
60+
Recursive Fibonacci Results:
61+
n=35:
62+
Time taken: 2.059310 seconds
63+
Performance Score: 0.49
64+
65+
Bubble Sort Results:
66+
List size 5000:
67+
Time taken: 1.519559 seconds
68+
Performance Score: 0.66
69+
70+
Prime Number Generation Results:
71+
Limit 30000:
72+
Primes found: 3245
73+
Time taken: 1.858048 seconds
74+
Performance Score: 0.54
75+
76+
Summary Evaluation (Higher is better): 2.753714
77+
78+
79+
Date of testing: 2024-12-24 13:13:08
80+
System Information
81+
============================================================
82+
Operating System: Windows (64bit)
83+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
84+
Python Version: 3.8.20 (default, Oct 3 2024, 15:19:54) [MSC v.1929 64 bit (AMD64)]
85+
============================================================
86+
87+
Starting benchmark...
88+
89+
Benchmark Summary
90+
============================================================
91+
92+
Matrix Multiplication Results:
93+
Size 200x200:
94+
Median time: 1.346117 seconds
95+
Operations/second: 5,944,829.40
96+
Coefficient of variation: 0.50%
97+
Performance Score: 0.74
98+
99+
Recursive Fibonacci Results:
100+
n=35:
101+
Time taken: 2.687183 seconds
102+
Performance Score: 0.37
103+
104+
Bubble Sort Results:
105+
List size 5000:
106+
Time taken: 1.847840 seconds
107+
Performance Score: 0.54
108+
109+
Prime Number Generation Results:
110+
Limit 30000:
111+
Primes found: 3245
112+
Time taken: 2.143302 seconds
113+
Performance Score: 0.47
114+
115+
Summary Evaluation (Higher is better): 2.122756
116+
117+
118+
Date of testing: 2024-12-24 13:13:50
119+
System Information
120+
============================================================
121+
Operating System: Windows (64bit)
122+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
123+
Python Version: 3.9.20 (main, Oct 3 2024, 07:38:01) [MSC v.1929 64 bit (AMD64)]
124+
============================================================
125+
126+
Starting benchmark...
127+
128+
Benchmark Summary
129+
============================================================
130+
131+
Matrix Multiplication Results:
132+
Size 200x200:
133+
Median time: 0.693025 seconds
134+
Operations/second: 11,484,859.82
135+
Coefficient of variation: 1.53%
136+
Performance Score: 1.44
137+
138+
Recursive Fibonacci Results:
139+
n=35:
140+
Time taken: 1.629292 seconds
141+
Performance Score: 0.61
142+
143+
Bubble Sort Results:
144+
List size 5000:
145+
Time taken: 1.164734 seconds
146+
Performance Score: 0.86
147+
148+
Prime Number Generation Results:
149+
Limit 30000:
150+
Primes found: 3245
151+
Time taken: 1.454710 seconds
152+
Performance Score: 0.69
153+
154+
Summary Evaluation (Higher is better): 3.602700
155+
156+
157+
Date of testing: 2024-12-24 13:15:11
158+
System Information
159+
============================================================
160+
Operating System: Windows (64bit)
161+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
162+
Python Version: 3.10.15 | packaged by Anaconda, Inc. | (main, Oct 3 2024, 07:22:19) [MSC v.1929 64 bit (AMD64)]
163+
============================================================
164+
165+
Starting benchmark...
166+
167+
Benchmark Summary
168+
============================================================
169+
170+
Matrix Multiplication Results:
171+
Size 200x200:
172+
Median time: 1.347311 seconds
173+
Operations/second: 5,936,112.50
174+
Coefficient of variation: 0.48%
175+
Performance Score: 0.74
176+
177+
Recursive Fibonacci Results:
178+
n=35:
179+
Time taken: 2.739638 seconds
180+
Performance Score: 0.37
181+
182+
Bubble Sort Results:
183+
List size 5000:
184+
Time taken: 1.726959 seconds
185+
Performance Score: 0.58
186+
187+
Prime Number Generation Results:
188+
Limit 30000:
189+
Primes found: 3245
190+
Time taken: 2.198494 seconds
191+
Performance Score: 0.45
192+
193+
Summary Evaluation (Higher is better): 2.141140
194+
195+
196+
Date of testing: 2024-12-24 13:16:09
197+
System Information
198+
============================================================
199+
Operating System: Windows (64bit)
200+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
201+
Python Version: 3.11.10 | packaged by Anaconda, Inc. | (main, Oct 3 2024, 07:22:26) [MSC v.1929 64 bit (AMD64)]
202+
============================================================
203+
204+
Starting benchmark...
205+
206+
Benchmark Summary
207+
============================================================
208+
209+
Matrix Multiplication Results:
210+
Size 200x200:
211+
Median time: 0.648781 seconds
212+
Operations/second: 12,285,780.78
213+
Coefficient of variation: 1.61%
214+
Performance Score: 1.54
215+
216+
Recursive Fibonacci Results:
217+
n=35:
218+
Time taken: 1.333887 seconds
219+
Performance Score: 0.75
220+
221+
Bubble Sort Results:
222+
List size 5000:
223+
Time taken: 1.114506 seconds
224+
Performance Score: 0.90
225+
226+
Prime Number Generation Results:
227+
Limit 30000:
228+
Primes found: 3245
229+
Time taken: 1.904991 seconds
230+
Performance Score: 0.52
231+
232+
Summary Evaluation (Higher is better): 3.713235
233+
234+
235+
Date of testing: 2024-12-24 13:16:42
236+
System Information
237+
============================================================
238+
Operating System: Windows (64bit)
239+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
240+
Python Version: 3.12.7 | packaged by Anaconda, Inc. | (main, Oct 4 2024, 13:17:27) [MSC v.1929 64 bit (AMD64)]
241+
============================================================
242+
243+
Starting benchmark...
244+
245+
Benchmark Summary
246+
============================================================
247+
248+
Matrix Multiplication Results:
249+
Size 200x200:
250+
Median time: 0.672228 seconds
251+
Operations/second: 11,857,108.91
252+
Coefficient of variation: 1.30%
253+
Performance Score: 1.49
254+
255+
Recursive Fibonacci Results:
256+
n=35:
257+
Time taken: 1.409475 seconds
258+
Performance Score: 0.71
259+
260+
Bubble Sort Results:
261+
List size 5000:
262+
Time taken: 1.160527 seconds
263+
Performance Score: 0.86
264+
265+
Prime Number Generation Results:
266+
Limit 30000:
267+
Primes found: 3245
268+
Time taken: 2.361665 seconds
269+
Performance Score: 0.42
270+
271+
Summary Evaluation (Higher is better): 3.482182
272+
273+
274+
Date of testing: 2024-12-24 13:17:12
275+
System Information
276+
============================================================
277+
Operating System: Windows (64bit)
278+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
279+
Python Version: 3.13.0 | packaged by Anaconda, Inc. | (main, Oct 7 2024, 21:21:52) [MSC v.1929 64 bit (AMD64)]
280+
============================================================
281+
282+
Starting benchmark...
283+
284+
Benchmark Summary
285+
============================================================
286+
287+
Matrix Multiplication Results:
288+
Size 200x200:
289+
Median time: 0.655199 seconds
290+
Operations/second: 12,176,030.33
291+
Coefficient of variation: 0.81%
292+
Performance Score: 1.53
293+
294+
Recursive Fibonacci Results:
295+
n=35:
296+
Time taken: 1.516788 seconds
297+
Performance Score: 0.66
298+
299+
Bubble Sort Results:
300+
List size 5000:
301+
Time taken: 1.095674 seconds
302+
Performance Score: 0.91
303+
304+
Prime Number Generation Results:
305+
Limit 30000:
306+
Primes found: 3245
307+
Time taken: 2.412412 seconds
308+
Performance Score: 0.41
309+
310+
Summary Evaluation (Higher is better): 3.512745
311+
312+
---
313+
Note: To improve your Python code performance by 60-100%, you can utilize the
314+
"Python Binary Optimization Compiler Script" from Alpha Beta Network (alphabetanet.com)
315+
316+

‎python_performance_benchmark_compare_py311.log

Lines changed: 82 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,82 @@
1+
Date of testing: 2024-12-24 13:16:09
2+
System Information
3+
============================================================
4+
Operating System: Windows (64bit)
5+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
6+
Python Version: 3.11.10 | packaged by Anaconda, Inc. | (main, Oct 3 2024, 07:22:26) [MSC v.1929 64 bit (AMD64)]
7+
============================================================
8+
9+
Starting benchmark...
10+
11+
Benchmark Summary
12+
============================================================
13+
14+
Matrix Multiplication Results:
15+
Size 200x200:
16+
Median time: 0.648781 seconds
17+
Operations/second: 12,285,780.78
18+
Coefficient of variation: 1.61%
19+
Performance Score: 1.54
20+
21+
Recursive Fibonacci Results:
22+
n=35:
23+
Time taken: 1.333887 seconds
24+
Performance Score: 0.75
25+
26+
Bubble Sort Results:
27+
List size 5000:
28+
Time taken: 1.114506 seconds
29+
Performance Score: 0.90
30+
31+
Prime Number Generation Results:
32+
Limit 30000:
33+
Primes found: 3245
34+
Time taken: 1.904991 seconds
35+
Performance Score: 0.52
36+
37+
Summary Evaluation (Higher is better): 3.713235
38+
39+
40+
Date of testing: 2024-12-24 13:21:35
41+
System Information
42+
============================================================
43+
Operating System: Windows (64bit)
44+
Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
45+
Python Version: 3.11.9 (tags/v3.11.9:de54cf5, Apr 2 2024, 10:12:12) [MSC v.1938 64 bit (AMD64)]
46+
============================================================
47+
48+
Starting benchmark...
49+
50+
Benchmark Summary
51+
============================================================
52+
53+
Matrix Multiplication Results:
54+
Size 200x200:
55+
Median time: 0.601605 seconds
56+
Operations/second: 13,278,535.62
57+
Coefficient of variation: 1.12%
58+
Performance Score: 1.66
59+
60+
Recursive Fibonacci Results:
61+
n=35:
62+
Time taken: 1.215701 seconds
63+
Performance Score: 0.82
64+
65+
Bubble Sort Results:
66+
List size 5000:
67+
Time taken: 0.903095 seconds
68+
Performance Score: 1.11
69+
70+
Prime Number Generation Results:
71+
Limit 30000:
72+
Primes found: 3245
73+
Time taken: 1.788207 seconds
74+
Performance Score: 0.56
75+
76+
Summary Evaluation (Higher is better): 4.151314
77+
78+
---
79+
Note: To improve your Python code performance by 60-100%, you can utilize the
80+
"Python Binary Optimization Compiler Script" from Alpha Beta Network (alphabetanet.com)
81+
82+

0 commit comments

Comments
 (0)