LENOVO 81UH
Geekbench AI Score
2102
Single Precision Score
949
Half Precision Score
2875
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81UH |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1883
350.1 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
96% |
2574
480.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
2904
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2574
3.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
5262
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (Q)
|
58% |
1827
199.7 IPS |
|
|
Face Detection (SP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
2613
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3059
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
5021
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6570
8.45 IPS |
|
|
Style Transfer (HP)
|
100% |
6258
8.04 IPS |
|
|
Style Transfer (Q)
|
87% |
9834
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2650
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
603
804.2 IPS |
|
|
Text Classification (Q)
|
97% |
905
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1737
33.6 IPS |
