LENOVO 83LU
Geekbench AI Score
4246
Single Precision Score
1736
Half Precision Score
8139
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 09:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 275HX |
| 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% |
3670
682.5 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.5 IPS |
|
|
Image Classification (Q)
|
99% |
7472
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12339
200.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9840
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5642
6.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
32472
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
86% |
7343
590.1 IPS |
|
|
Face Detection (SP)
|
100% |
7562
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
9589
114.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2033
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16360
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22184
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14535
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23041
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2454
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2407
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
719
959.1 IPS |
|
|
Text Classification (Q)
|
97% |
1232
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1837
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2605
52.3 IPS |
