LENOVO T14 LENOVO 20W000T3US
Geekbench AI Score
2998
Single Precision Score
4447
Half Precision Score
7031
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | March 30 2026 02:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 20W000T3US |
| Motherboard | LENOVO 20W000T3US |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
2869
533.6 IPS |
|
|
Image Classification (Q)
|
99% |
3728
695.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4259
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5396
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6928
8.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
5363
6.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
24081
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
1859
147.5 IPS |
|
|
Object Detection (HP)
|
100% |
2936
232.9 IPS |
|
|
Object Detection (Q)
|
90% |
4426
353.9 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6630
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
11150
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6571
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11259
87.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14810
115.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17267
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23455
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
53613
69.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4514
166.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8932
330.8 IPS |
|
|
Text Classification (SP)
|
71% |
913
1.32 KIPS |
|
|
Text Classification (HP)
|
71% |
1224
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
1070
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1628
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1628
28.1 IPS |
