LENOVO 91B1000HKA
Geekbench AI Score
4817
Single Precision Score
9009
Half Precision Score
14249
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 03:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 91B1000HKA |
| Motherboard | LENOVO 3377 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3072
571.3 IPS |
|
|
Image Classification (HP)
|
100% |
6892
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9626
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3396
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2687
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5680
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
33654
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
69613
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
2866
227.4 IPS |
|
|
Object Detection (HP)
|
100% |
5534
439.0 IPS |
|
|
Object Detection (Q)
|
88% |
9692
777.0 IPS |
|
|
Face Detection (SP)
|
100% |
6644
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
14022
166.6 IPS |
|
|
Face Detection (Q)
|
100% |
29659
352.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7308
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12813
98.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
24893
193.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16620
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38844
49.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72705
93.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16216
598.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31334
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2290
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4112
70.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4200
72.4 IPS |
