LENOVO TB305FU
Geekbench AI Score
391
Single Precision Score
390
Half Precision Score
751
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB305FU |
| Model ID | LENOVO TB305FU |
| Motherboard | clove_row_wifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.8 IPS |
|
|
Image Classification (Q)
|
100% |
542
100.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
657
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
887
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
893
1.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
1590
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
522
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (Q)
|
95% |
1215
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1393
12.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1728
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1746
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3611
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
827
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.4 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.6 IPS |
|
|
Text Classification (Q)
|
88% |
253
340.8 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.44 IPS |
