LENOVO 83N3
Geekbench AI Score
1478
Single Precision Score
2644
Half Precision Score
5521
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | ben |
| Upload Date | November 23 2025 10:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83N3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (HP)
|
100% |
2160
401.6 IPS |
|
|
Image Classification (Q)
|
99% |
4008
747.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2588
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5989
97.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3995
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
6323
7.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
15615
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
99% |
1963
156.2 IPS |
|
|
Object Detection (Q)
|
86% |
4427
355.8 IPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
97% |
8945
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1684
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3278
25.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
10822
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9755
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9712
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28022
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3665
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
517
689.9 IPS |
|
|
Text Classification (Q)
|
97% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1935
33.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2058
41.4 IPS |
