LENOVO 13C8CTO1WW
Geekbench AI Score
1414
Single Precision Score
16456
Half Precision Score
40721
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 20 2025 05:24 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 Home (64-bit) |
| Model | LENOVO 13C8CTO1WW |
| 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% |
10670
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
18776
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8046
130.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22974
373.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
68708
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
243571
285.5 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
11430
906.7 IPS |
|
|
Object Detection (Q)
|
92% |
22081
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
24409
290.0 IPS |
|
|
Face Detection (Q)
|
97% |
67923
809.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41340
318.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
109426
873.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8523
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53219
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
250587
323.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30296
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65028
2.40 KIPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2656
3.55 KIPS |
|
|
Text Classification (Q)
|
95% |
4165
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5001
86.1 IPS |
|
|
Machine Translation (Q)
|
67% |
10714
208.5 IPS |
