LENOVO TB321FU
Geekbench AI Score
2245
Single Precision Score
2230
Half Precision Score
3388
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 01:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1642
305.4 IPS |
|
|
Image Classification (HP)
|
100% |
1661
308.8 IPS |
|
|
Image Classification (Q)
|
100% |
2486
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2868
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3487
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3502
4.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
7887
9.35 IPS |
|
|
Object Detection (SP)
|
98% |
1491
118.7 IPS |
|
|
Object Detection (HP)
|
98% |
1506
119.8 IPS |
|
|
Object Detection (Q)
|
83% |
2427
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (Q)
|
95% |
5349
63.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3558
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3494
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5459
50.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8426
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8504
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15507
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3991
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.8 IPS |
|
|
Text Classification (HP)
|
99% |
743
992.3 IPS |
|
|
Text Classification (Q)
|
88% |
1130
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.5 IPS |
