Lenovo ThinkPad T14s Gen 6 Snapdragon LENOVO 21N10008UK
Geekbench AI Score
1126
Single Precision Score
2047
Half Precision Score
2702
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pila |
| Upload Date | April 07 2025 07:09 AM |
| Views | 9 |
| Notes | Snapdragon X Elite |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N10008UK |
| Motherboard | LENOVO 21N10008UK |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
1729
321.6 IPS |
|
|
Image Classification (Q)
|
99% |
5303
989.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1421
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
13594
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
99% |
1102
87.6 IPS |
|
|
Object Detection (Q)
|
86% |
5963
479.3 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
6788
80.7 IPS |
|
|
Face Detection (Q)
|
97% |
10045
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2058
15.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
1847
14.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
894
7.10 IPS |
|
|
Style Transfer (SP)
|
100% |
5667
7.28 IPS |
|
|
Style Transfer (HP)
|
100% |
8206
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25955
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1839
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
523
698.3 IPS |
|
|
Text Classification (HP)
|
100% |
570
760.6 IPS |
|
|
Text Classification (Q)
|
97% |
183
245.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1837
31.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2592
44.8 IPS |
|
|
Machine Translation (Q)
|
65% |
433
8.70 IPS |
