LENOVO Lenovo TB125FU
Geekbench AI Score
380
Single Precision Score
374
Half Precision Score
674
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 11:52 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 | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.3 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
100% |
558
103.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
669
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
883
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
819
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1362
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
83% |
479
38.7 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (Q)
|
95% |
1137
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1142
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1530
1.99 IPS |
|
|
Style Transfer (HP)
|
89% |
1547
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2812
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
705
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.9 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.4 IPS |
|
|
Text Classification (Q)
|
88% |
228
307.1 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
50% |
137
4.87 IPS |
