LENOVO Lenovo TB128XU
Geekbench AI Score
143
Single Precision Score
218
Half Precision Score
198
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 23 2025 01:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LENOVO Lenovo TB128XU |
| Model ID | LENOVO Lenovo TB128XU |
| Motherboard | P89990AA1 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
99% |
155
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
221
3.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
99% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
97% |
811
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.87 IPS |
|
|
Object Detection (HP)
|
99% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
85% |
130
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (Q)
|
97% |
454
5.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (HP)
|
98% |
475
3.67 IPS |
|
|
Depth Estimation (Q)
|
63% |
390
3.61 IPS |
|
|
Style Transfer (SP)
|
100% |
734
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1130
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1107
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
174
6.45 IPS |
|
|
Text Classification (SP)
|
35% |
6
55.3 IPS |
|
|
Text Classification (HP)
|
35% |
9
80.4 IPS |
|
|
Text Classification (Q)
|
35% |
9
79.4 IPS |
|
|
Machine Translation (SP)
|
100% |
97
1.67 IPS |
|
|
Machine Translation (HP)
|
97% |
121
2.09 IPS |
|
|
Machine Translation (Q)
|
64% |
87
1.78 IPS |
