LENOVO TB305FU
Geekbench AI Score
382
Single Precision Score
379
Half Precision Score
742
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:53 PM |
| Views | 3 |
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% |
194
36.1 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.6 IPS |
|
|
Image Classification (Q)
|
100% |
537
99.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
653
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
868
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1533
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
520
42.0 IPS |
|
|
Face Detection (SP)
|
100% |
481
5.71 IPS |
|
|
Face Detection (HP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (Q)
|
95% |
1209
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
609
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
624
4.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1388
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1673
2.17 IPS |
|
|
Style Transfer (HP)
|
89% |
1683
2.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3479
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
837
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
189
251.9 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.5 IPS |
|
|
Text Classification (Q)
|
88% |
251
339.0 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.28 IPS |
