LENOVO TB321FU
Geekbench AI Score
481
Single Precision Score
483
Half Precision Score
1120
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.5 IPS |
|
|
Image Classification (Q)
|
99% |
789
147.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
497
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1979
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
87% |
821
65.8 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.37 IPS |
|
|
Face Detection (Q)
|
97% |
1692
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
611
4.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
608
4.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1512
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
988
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
986
1.27 IPS |
|
|
Style Transfer (Q)
|
98% |
2484
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1146
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.7 IPS |
|
|
Text Classification (HP)
|
100% |
449
598.7 IPS |
|
|
Text Classification (Q)
|
91% |
737
991.0 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
577
14.1 IPS |
