LENOVO TB322FC
Geekbench AI Score
2830
Single Precision Score
2830
Half Precision Score
5096
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 10:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB322FC |
| Model ID | LENOVO TB322FC |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2251
418.6 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.7 IPS |
|
|
Image Classification (Q)
|
100% |
4610
857.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5791
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5295
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5362
6.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
11875
14.1 IPS |
|
|
Object Detection (SP)
|
98% |
1717
136.6 IPS |
|
|
Object Detection (HP)
|
98% |
1838
146.2 IPS |
|
|
Object Detection (Q)
|
83% |
4146
334.9 IPS |
|
|
Face Detection (SP)
|
100% |
4473
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (Q)
|
95% |
10181
121.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4778
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4698
36.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10697
98.0 IPS |
|
|
Style Transfer (SP)
|
89% |
12022
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
12058
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26350
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2534
93.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6866
254.4 IPS |
|
|
Text Classification (SP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (HP)
|
99% |
1057
1.41 KIPS |
|
|
Text Classification (Q)
|
88% |
1099
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
415
14.7 IPS |
