LENOVO Lenovo TB128XU
Geekbench AI Score
145
Single Precision Score
220
Half Precision Score
199
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 22 2025 08:10 PM |
| Views | 12 |
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% |
105
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
219
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
99% |
830
0.97 IPS |
|
|
Pose Estimation (Q)
|
97% |
818
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.90 IPS |
|
|
Object Detection (HP)
|
99% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
85% |
132
10.6 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (HP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (Q)
|
97% |
451
5.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (HP)
|
98% |
483
3.74 IPS |
|
|
Depth Estimation (Q)
|
63% |
395
3.65 IPS |
|
|
Style Transfer (SP)
|
100% |
759
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1137
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1105
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
175
6.47 IPS |
|
|
Text Classification (SP)
|
35% |
6
56.0 IPS |
|
|
Text Classification (HP)
|
35% |
9
81.2 IPS |
|
|
Text Classification (Q)
|
35% |
9
78.6 IPS |
|
|
Machine Translation (SP)
|
100% |
100
1.72 IPS |
|
|
Machine Translation (HP)
|
97% |
122
2.11 IPS |
|
|
Machine Translation (Q)
|
64% |
86
1.77 IPS |
