LENOVO T4 LENOVO 20W000T3US
Geekbench AI Score
1878
Single Precision Score
959
Half Precision Score
4160
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | March 27 2026 08:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1145G7 |
| 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% |
1646
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
99% |
3777
704.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
2973
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1834
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2252
2.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
10073
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.4 IPS |
|
|
Object Detection (Q)
|
86% |
3467
278.6 IPS |
|
|
Face Detection (SP)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
5675
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3828
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1398
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8079
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6932
8.91 IPS |
|
|
Style Transfer (HP)
|
100% |
5225
6.72 IPS |
|
|
Style Transfer (Q)
|
98% |
10622
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1269
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3724
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
695
928.2 IPS |
|
|
Text Classification (Q)
|
97% |
1298
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
65% |
1683
33.8 IPS |
