Lenovo T14S Type 20T1 LENOVO 20T1S1DV03
Geekbench AI Score
1721
Single Precision Score
792
Half Precision Score
2377
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 20 2025 06:37 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10610U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20T1S1DV03 |
| Motherboard | LENOVO 20T1S1DV03 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10610U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.0 IPS |
|
|
Image Classification (Q)
|
96% |
1831
342.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
2151
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2180
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1590
1.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
3971
4.69 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
100% |
389
30.8 IPS |
|
|
Object Detection (Q)
|
58% |
1101
120.3 IPS |
|
|
Face Detection (SP)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.67 IPS |
|
|
Face Detection (Q)
|
96% |
3646
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3217
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1031
7.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
4270
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5564
7.15 IPS |
|
|
Style Transfer (HP)
|
100% |
4161
5.35 IPS |
|
|
Style Transfer (Q)
|
87% |
7567
9.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1993
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
1052
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
597
797.4 IPS |
|
|
Text Classification (Q)
|
97% |
944
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1514
29.3 IPS |
