LENOVO 13C8002NUS
Geekbench AI Score
1385
Single Precision Score
16471
Half Precision Score
40638
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | January 30 2026 11:20 PM |
| Views | 6 |
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 Enterprise (64-bit) |
| Model | LENOVO 13C8002NUS |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
505
93.9 IPS |
|
|
Image Classification (HP)
|
100% |
10770
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
18541
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
8204
133.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22433
364.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3056
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
71200
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
243964
286.0 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
100% |
11104
880.7 IPS |
|
|
Object Detection (Q)
|
92% |
22097
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
24219
287.8 IPS |
|
|
Face Detection (Q)
|
97% |
66424
792.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1675
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42450
327.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
110428
881.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8002
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53536
68.8 IPS |
|
|
Style Transfer (Q)
|
98% |
258416
333.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30255
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65220
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (Q)
|
95% |
4154
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4764
82.1 IPS |
|
|
Machine Translation (Q)
|
67% |
10668
207.6 IPS |
