LENOVO TB321FU
Geekbench AI Score
2735
Single Precision Score
2709
Half Precision Score
4440
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 10:08 AM |
| Views | 18 |
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% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
2159
401.5 IPS |
|
|
Image Classification (Q)
|
100% |
3652
679.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2557
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4115
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3943
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3817
4.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
9350
11.1 IPS |
|
|
Object Detection (SP)
|
98% |
2116
168.4 IPS |
|
|
Object Detection (HP)
|
98% |
2079
165.4 IPS |
|
|
Object Detection (Q)
|
83% |
3354
271.0 IPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (Q)
|
95% |
6951
83.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3957
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3960
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6796
62.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9885
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9669
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19847
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2122
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5104
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
959
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1537
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (Q)
|
50% |
860
30.5 IPS |
