Lenovo ThinkPad T16 Gen 3 LENOVO 21MN0070US
Geekbench AI Score
2035
Single Precision Score
861
Half Precision Score
4561
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | miesupport |
| Upload Date | July 11 2025 07:02 PM |
| Views | 7 |
| Notes | LENOVO 21MN0070US |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MN0070US |
| Motherboard | LENOVO 21MN0070US |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1770
329.3 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
99% |
3709
691.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5348
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3087
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2033
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
11695
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.4 IPS |
|
|
Object Detection (HP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (Q)
|
86% |
3893
312.9 IPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
6425
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4457
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1245
9.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
9961
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6854
8.81 IPS |
|
|
Style Transfer (HP)
|
100% |
4166
5.35 IPS |
|
|
Style Transfer (Q)
|
98% |
11500
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1118
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3151
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
1045
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
469
626.3 IPS |
|
|
Text Classification (Q)
|
97% |
1173
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (Q)
|
65% |
1587
31.9 IPS |
