Lenovo Smart Technology(TianJin)
Geekbench AI Score
3008
Single Precision Score
7304
Half Precision Score
11642
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 29 2025 11:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Lenovo Smart Technology(TianJin) |
| Motherboard | Lenovo Smart Technology(TianJin) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1481
275.4 IPS |
|
|
Image Classification (HP)
|
100% |
5387
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
7655
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2568
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4821
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
25109
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
53862
63.1 IPS |
|
|
Object Detection (SP)
|
100% |
1665
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
4170
330.8 IPS |
|
|
Object Detection (Q)
|
88% |
7735
620.1 IPS |
|
|
Face Detection (SP)
|
100% |
4899
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
12293
146.1 IPS |
|
|
Face Detection (Q)
|
100% |
23592
280.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4900
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11508
88.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
22857
177.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12944
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35116
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
65981
85.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2209
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12299
454.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25970
961.8 IPS |
|
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1727
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1742
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3471
59.8 IPS |
