LENOVO Lenovo TB125FU
Geekbench AI Score
354
Single Precision Score
348
Half Precision Score
623
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 01:14 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% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (Q)
|
100% |
547
101.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
680
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
767
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1221
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
454
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (HP)
|
100% |
438
5.21 IPS |
|
|
Face Detection (Q)
|
95% |
1044
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
516
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
510
3.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
892
8.17 IPS |
|
|
Style Transfer (SP)
|
89% |
1423
1.85 IPS |
|
|
Style Transfer (HP)
|
89% |
1438
1.87 IPS |
|
|
Style Transfer (Q)
|
98% |
2528
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
719
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
181
242.0 IPS |
|
|
Text Classification (HP)
|
100% |
178
238.0 IPS |
|
|
Text Classification (Q)
|
88% |
216
291.3 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
117
4.15 IPS |
