LENOVO 13C80011US
Geekbench AI Score
1388
Single Precision Score
19082
Half Precision Score
52444
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 05 2025 05:23 PM |
| Views | 19 |
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 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% |
511
95.1 IPS |
|
|
Image Classification (HP)
|
100% |
13767
2.56 KIPS |
|
|
Image Classification (Q)
|
99% |
29275
5.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8579
139.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
24812
403.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4194
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
73138
85.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
261440
306.4 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
13071
1.04 KIPS |
|
|
Object Detection (Q)
|
92% |
27168
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
26643
316.6 IPS |
|
|
Face Detection (Q)
|
97% |
79487
947.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1689
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46377
357.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
124672
995.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10195
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55140
70.9 IPS |
|
|
Style Transfer (Q)
|
98% |
270301
348.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34818
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85738
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4251
5.67 KIPS |
|
|
Text Classification (Q)
|
95% |
11121
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5623
96.9 IPS |
|
|
Machine Translation (Q)
|
67% |
11946
232.5 IPS |
