LENOVO 83N3
Geekbench AI Score
1698
Single Precision Score
2876
Half Precision Score
6542
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | August 21 2025 04:19 PM |
| Views | 4 |
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 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% |
614
114.2 IPS |
|
|
Image Classification (HP)
|
100% |
2164
402.5 IPS |
|
|
Image Classification (Q)
|
99% |
5650
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2681
43.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6561
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4065
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
6400
7.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
16150
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
99% |
2090
166.3 IPS |
|
|
Object Detection (Q)
|
86% |
5278
424.2 IPS |
|
|
Face Detection (SP)
|
100% |
1598
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
6465
76.8 IPS |
|
|
Face Detection (Q)
|
97% |
10668
127.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2029
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3266
25.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
12635
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9996
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9730
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28864
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
636
848.6 IPS |
|
|
Text Classification (Q)
|
97% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2862
49.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2976
59.8 IPS |
