Lenovo ThinkPad T450 - i5-5200U LENOVO 20BUS3GA00
Geekbench AI Score
824
Single Precision Score
825
Half Precision Score
856
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 12 2025 09:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-5200U CPU @ 2.20GHz |
| 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% |
473
88.0 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
100% |
534
99.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
585
9.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
946
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
1098
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
87% |
536
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
1494
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1225
9.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
1213
9.35 IPS |
|
|
Depth Estimation (Q)
|
81% |
1372
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2799
3.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2815
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3153
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
575
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
663
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.3 IPS |
|
|
Text Classification (HP)
|
100% |
624
833.4 IPS |
|
|
Text Classification (Q)
|
91% |
277
372.1 IPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
100% |
970
16.7 IPS |
