LENOVO Lenovo TB128XU
Geekbench AI Score
386
Single Precision Score
384
Half Precision Score
479
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | March 15 2025 03:38 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% |
177
32.9 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
100% |
311
57.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
401
6.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
855
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
861
1.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
705
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
315
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (Q)
|
95% |
751
8.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
717
5.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
740
6.78 IPS |
|
|
Style Transfer (SP)
|
89% |
1480
1.92 IPS |
|
|
Style Transfer (HP)
|
89% |
1481
1.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1931
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
416
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
199
266.2 IPS |
|
|
Text Classification (HP)
|
100% |
197
263.0 IPS |
|
|
Text Classification (Q)
|
88% |
293
395.3 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (Q)
|
50% |
176
6.24 IPS |
