LENOVO 13A5S3R801
Geekbench AI Score
4613
Single Precision Score
9139
Half Precision Score
14626
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 05:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 13A5S3R801 |
| Motherboard | LENOVO 337D |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235T |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (HP)
|
100% |
6928
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9930
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5530
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
32941
38.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72902
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
2809
222.8 IPS |
|
|
Object Detection (HP)
|
100% |
5533
438.9 IPS |
|
|
Object Detection (Q)
|
88% |
9831
788.2 IPS |
|
|
Face Detection (SP)
|
100% |
7480
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
15194
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
29587
351.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7154
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13094
100.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
25766
200.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16334
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42130
54.2 IPS |
|
|
Style Transfer (Q)
|
98% |
79657
102.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3573
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15762
582.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32605
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
2268
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4101
70.6 IPS |
