LENOVO 83HL
Geekbench AI Score
1579
Single Precision Score
2821
Half Precision Score
5901
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | Ncard00 |
| Upload Date | December 08 2025 10:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
551
102.4 IPS |
|
|
Image Classification (HP)
|
100% |
2302
428.0 IPS |
|
|
Image Classification (Q)
|
99% |
4363
813.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6450
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4429
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
7058
8.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
17357
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (HP)
|
99% |
2089
166.2 IPS |
|
|
Object Detection (Q)
|
86% |
4722
379.5 IPS |
|
|
Face Detection (SP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
6345
75.4 IPS |
|
|
Face Detection (Q)
|
97% |
9582
114.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1790
13.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3595
27.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
11669
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10976
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10553
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30031
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1344
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3695
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
501
668.9 IPS |
|
|
Text Classification (Q)
|
97% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2056
35.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2262
45.5 IPS |
