Lenovo T14S Type 20T1 LENOVO 20T1S1DV03
Geekbench AI Score
977
Single Precision Score
1135
Half Precision Score
796
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 20 2025 06:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (Q)
|
100% |
414
76.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3770
4.40 IPS |
|
|
Pose Estimation (Q)
|
97% |
2155
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.5 IPS |
|
|
Object Detection (HP)
|
98% |
503
40.0 IPS |
|
|
Object Detection (Q)
|
86% |
459
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
848
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1777
13.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2198
17.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1527
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6076
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
9096
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
5188
6.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
911
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
468
625.2 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.8 IPS |
|
|
Text Classification (Q)
|
97% |
281
376.9 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
70% |
280
5.25 IPS |
