Lenovo ThinkPad T450 - i5-5200U LENOVO 20BUS3GA00
Geekbench AI Score
662
Single Precision Score
383
Half Precision Score
714
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 12 2025 09:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-5200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 20BUS3GA00 |
| Motherboard | LENOVO 20BUS3GA00 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
96% |
489
91.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
542
8.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
883
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
972
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
58% |
332
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (Q)
|
96% |
1139
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1128
8.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
540
4.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
1128
9.00 IPS |
|
|
Style Transfer (SP)
|
100% |
2151
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1723
2.22 IPS |
|
|
Style Transfer (Q)
|
87% |
2244
2.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
555
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.7 IPS |
|
|
Text Classification (HP)
|
100% |
274
366.3 IPS |
|
|
Text Classification (Q)
|
97% |
400
535.6 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
68% |
631
12.2 IPS |
