LENOVO Lenovo TB128XU
Geekbench AI Score
236
Single Precision Score
233
Half Precision Score
235
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 23 2025 01:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (Q)
|
100% |
152
28.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
209
3.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
334
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.08 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (Q)
|
83% |
150
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
283
3.37 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
95% |
422
5.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
402
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
384
2.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
358
3.27 IPS |
|
|
Style Transfer (SP)
|
89% |
906
1.18 IPS |
|
|
Style Transfer (HP)
|
89% |
904
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
847
1.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
197
7.30 IPS |
|
|
Text Classification (SP)
|
100% |
124
165.2 IPS |
|
|
Text Classification (HP)
|
100% |
125
167.3 IPS |
|
|
Text Classification (Q)
|
88% |
136
183.7 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (HP)
|
100% |
200
3.45 IPS |
|
|
Machine Translation (Q)
|
50% |
95
3.38 IPS |
