LENOVO Lenovo TB128XU
Geekbench AI Score
387
Single Precision Score
386
Half Precision Score
475
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 22 2025 07:27 PM |
| Views | 12 |
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% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
100% |
318
59.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
404
6.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
870
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
865
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
706
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
317
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (Q)
|
95% |
746
8.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
704
5.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
727
6.66 IPS |
|
|
Style Transfer (SP)
|
89% |
1484
1.93 IPS |
|
|
Style Transfer (HP)
|
89% |
1484
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
1774
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
417
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.3 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.6 IPS |
|
|
Text Classification (Q)
|
88% |
292
394.1 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (Q)
|
50% |
176
6.24 IPS |
