LENOVO TB321FU
Geekbench AI Score
2736
Single Precision Score
2714
Half Precision Score
4256
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:23 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.7 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.6 IPS |
|
|
Image Classification (Q)
|
100% |
3283
610.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3916
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3853
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3708
4.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
8907
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
2112
168.1 IPS |
|
|
Object Detection (HP)
|
98% |
2096
166.8 IPS |
|
|
Object Detection (Q)
|
83% |
2918
235.7 IPS |
|
|
Face Detection (SP)
|
100% |
4048
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
4058
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
6873
82.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4030
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3918
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6872
62.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9341
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9370
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19169
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1938
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4986
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1459
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (Q)
|
50% |
887
31.5 IPS |
