LENOVO Lenovo TB125FU
Geekbench AI Score
227
Single Precision Score
233
Half Precision Score
432
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8786V/N |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LENOVO Lenovo TB125FU |
| Model ID | LENOVO Lenovo TB125FU |
| Motherboard | P98980AA1 |
| CPU Information | |
|---|---|
| Name | ARM MT8786V/N |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.1 IPS |
|
|
Image Classification (Q)
|
100% |
516
95.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
623
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
617
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
1019
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
226
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (HP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (Q)
|
95% |
967
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
400
3.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
400
3.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
639
5.85 IPS |
|
|
Style Transfer (SP)
|
89% |
1003
1.30 IPS |
|
|
Style Transfer (HP)
|
89% |
1042
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1705
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
699
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
46
61.1 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.6 IPS |
|
|
Text Classification (Q)
|
88% |
91
123.2 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.37 IPS |
|
|
Machine Translation (HP)
|
100% |
145
2.50 IPS |
|
|
Machine Translation (Q)
|
50% |
46
1.64 IPS |
