LENOVO TB321FU
Geekbench AI Score
560
Single Precision Score
534
Half Precision Score
1288
Quantized Score
Geekbench AI 1.5.0 Corporate for Android AArch64
Result Information
| Upload Date | September 17 2025 07:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB321FU |
| Model ID | LENOVO TB321FU |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
504
93.8 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
100% |
1454
270.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1385
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3922
4.65 IPS |
|
|
Object Detection (SP)
|
98% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
98% |
227
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
703
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (Q)
|
95% |
1630
19.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
926
7.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
1617
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
1933
17.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1785
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1780
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
7302
9.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1102
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.5 IPS |
|
|
Text Classification (HP)
|
99% |
188
251.3 IPS |
|
|
Text Classification (Q)
|
88% |
333
448.7 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
50% |
270
9.59 IPS |
