LENOVO Lenovo TB128XU
Geekbench AI Score
67
Single Precision Score
65
Half Precision Score
517
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 23 2025 02:09 PM |
| Views | 3 |
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% |
81
15.1 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
97% |
500
93.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
102
1.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
28
0.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
521
8.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
175
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
331
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
3162
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
56
4.41 IPS |
|
|
Object Detection (HP)
|
100% |
21
1.69 IPS |
|
|
Object Detection (Q)
|
85% |
437
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
211
2.51 IPS |
|
|
Face Detection (HP)
|
100% |
52
0.62 IPS |
|
|
Face Detection (Q)
|
97% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
89
0.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
49
0.37 IPS |
|
|
Depth Estimation (Q)
|
63% |
2083
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
135
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
89
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
713
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
109
4.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
194
7.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1412
52.3 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.68 IPS |
|
|
Text Classification (HP)
|
100% |
32
43.4 IPS |
|
|
Text Classification (Q)
|
93% |
39
52.5 IPS |
|
|
Machine Translation (SP)
|
100% |
46
0.80 IPS |
|
|
Machine Translation (HP)
|
100% |
52
0.90 IPS |
|
|
Machine Translation (Q)
|
54% |
36
1.01 IPS |
