LENOVO 13C80011US
Geekbench AI Score
1384
Single Precision Score
2568
Half Precision Score
5273
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 05 2025 05:14 PM |
| Views | 18 |
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 Pro (64-bit) |
| Model | LENOVO 13C80011US |
| Motherboard | LENOVO 3393 |
| Power Plan | Lenovo Default |
| 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% |
512
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
99% |
3921
731.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5981
97.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4190
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
15967
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
99% |
1962
156.1 IPS |
|
|
Object Detection (Q)
|
86% |
4396
353.3 IPS |
|
|
Face Detection (SP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (Q)
|
97% |
8916
106.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1775
13.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3334
25.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
10891
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9903
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10025
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27046
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3083
114.1 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.8 IPS |
|
|
Text Classification (Q)
|
97% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1769
30.6 IPS |
|
|
Machine Translation (Q)
|
65% |
1648
33.1 IPS |
