LENOVO 83N3
Geekbench AI Score
1703
Single Precision Score
16561
Half Precision Score
37649
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | August 21 2025 05:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83N3 |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
615
114.5 IPS |
|
|
Image Classification (HP)
|
100% |
10935
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
17513
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8238
133.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20628
335.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3965
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
71726
83.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
244990
287.2 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
11659
924.8 IPS |
|
|
Object Detection (Q)
|
92% |
20332
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
24374
289.6 IPS |
|
|
Face Detection (Q)
|
97% |
59197
705.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2005
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41963
323.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
106484
849.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9736
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
55269
71.0 IPS |
|
|
Style Transfer (Q)
|
98% |
253683
327.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29920
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63214
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (Q)
|
95% |
3707
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4781
82.3 IPS |
|
|
Machine Translation (Q)
|
67% |
8486
165.2 IPS |
