LENOVO 83LU
Geekbench AI Score
6888
Single Precision Score
10227
Half Precision Score
15896
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 09:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 83LU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3567
663.3 IPS |
|
|
Image Classification (HP)
|
100% |
7227
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10163
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6352
103.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3563
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10209
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34951
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74589
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
3918
310.8 IPS |
|
|
Object Detection (HP)
|
100% |
6154
488.2 IPS |
|
|
Object Detection (Q)
|
88% |
10533
844.4 IPS |
|
|
Face Detection (SP)
|
100% |
12795
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
17520
208.2 IPS |
|
|
Face Detection (Q)
|
100% |
32920
391.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11012
84.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18020
138.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
33248
258.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30453
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52820
67.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96081
123.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16329
602.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31923
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3333
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2222
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4735
81.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4857
83.7 IPS |
