LENOVO Lenovo TB128XU
Geekbench AI Score
143
Single Precision Score
217
Half Precision Score
197
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 21 2025 05:10 PM |
| Views | 5 |
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% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
99% |
156
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
219
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (HP)
|
99% |
818
0.95 IPS |
|
|
Pose Estimation (Q)
|
97% |
805
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.83 IPS |
|
|
Object Detection (HP)
|
99% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
85% |
130
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
323
3.83 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (Q)
|
97% |
454
5.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
98% |
474
3.67 IPS |
|
|
Depth Estimation (Q)
|
63% |
388
3.58 IPS |
|
|
Style Transfer (SP)
|
100% |
735
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1134
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1104
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
190
7.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
174
6.46 IPS |
|
|
Text Classification (SP)
|
35% |
6
54.9 IPS |
|
|
Text Classification (HP)
|
35% |
9
80.1 IPS |
|
|
Text Classification (Q)
|
35% |
9
78.0 IPS |
|
|
Machine Translation (SP)
|
100% |
98
1.69 IPS |
|
|
Machine Translation (HP)
|
97% |
117
2.03 IPS |
|
|
Machine Translation (Q)
|
64% |
84
1.72 IPS |
