LENOVO 13C8002NUS
Geekbench AI Score
1432
Single Precision Score
2594
Half Precision Score
5758
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | January 30 2026 11:18 PM |
| Views | 3 |
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 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% |
510
94.9 IPS |
|
|
Image Classification (HP)
|
100% |
2232
415.1 IPS |
|
|
Image Classification (Q)
|
99% |
4236
790.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6314
102.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3810
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5787
6.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
15851
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
99% |
2052
163.2 IPS |
|
|
Object Detection (Q)
|
86% |
4707
378.3 IPS |
|
|
Face Detection (SP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
6290
74.7 IPS |
|
|
Face Detection (Q)
|
97% |
9754
116.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1700
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3324
25.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
11274
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6942
8.92 IPS |
|
|
Style Transfer (HP)
|
100% |
7181
9.23 IPS |
|
|
Style Transfer (Q)
|
98% |
28273
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3712
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
503
670.7 IPS |
|
|
Text Classification (Q)
|
97% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2041
35.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2224
44.7 IPS |
