LENOVO Lenovo TB128XU
Geekbench AI Score
80
Single Precision Score
120
Half Precision Score
573
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 22 2025 08:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
83
15.4 IPS |
|
|
Image Classification (HP)
|
100% |
102
18.9 IPS |
|
|
Image Classification (Q)
|
97% |
470
87.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
113
1.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
567
9.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
176
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
3160
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
52
4.16 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.95 IPS |
|
|
Object Detection (Q)
|
85% |
422
34.0 IPS |
|
|
Face Detection (SP)
|
100% |
207
2.46 IPS |
|
|
Face Detection (HP)
|
100% |
132
1.57 IPS |
|
|
Face Detection (Q)
|
97% |
1298
15.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
147
1.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
116
0.90 IPS |
|
|
Depth Estimation (Q)
|
63% |
2072
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
279
0.36 IPS |
|
|
Style Transfer (HP)
|
100% |
217
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
1162
1.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
111
4.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
194
7.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1472
54.5 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.00 IPS |
|
|
Text Classification (HP)
|
100% |
72
95.4 IPS |
|
|
Text Classification (Q)
|
93% |
40
53.7 IPS |
|
|
Machine Translation (SP)
|
100% |
68
1.17 IPS |
|
|
Machine Translation (HP)
|
100% |
126
2.17 IPS |
|
|
Machine Translation (Q)
|
54% |
59
1.67 IPS |
