LENOVO 21MBS5E500
Geekbench AI Score
754
Single Precision Score
6811
Half Precision Score
10347
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 03:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MBS5E500 |
| Motherboard | LENOVO 21MBS5E500 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
4094
761.4 IPS |
|
|
Image Classification (Q)
|
100% |
6800
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2984
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1323
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
29417
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
61202
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
4303
341.3 IPS |
|
|
Object Detection (Q)
|
88% |
6712
538.1 IPS |
|
|
Face Detection (SP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
11648
138.4 IPS |
|
|
Face Detection (Q)
|
100% |
20516
243.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1072
8.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
13660
105.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
25282
196.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2796
3.59 IPS |
|
|
Style Transfer (HP)
|
100% |
42795
55.0 IPS |
|
|
Style Transfer (Q)
|
98% |
71479
92.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12136
448.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21624
800.8 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.3 IPS |
|
|
Text Classification (HP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2543
43.8 IPS |
