LENOVO TB322FC
Geekbench AI Score
2905
Single Precision Score
2918
Half Precision Score
5280
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 02:13 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2221
413.1 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.8 IPS |
|
|
Image Classification (Q)
|
100% |
4708
875.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5521
89.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5671
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5564
6.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
14087
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1848
147.0 IPS |
|
|
Object Detection (HP)
|
98% |
1802
143.4 IPS |
|
|
Object Detection (Q)
|
83% |
4189
338.4 IPS |
|
|
Face Detection (SP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4730
56.2 IPS |
|
|
Face Detection (Q)
|
95% |
10818
129.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4929
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4930
38.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
11582
106.1 IPS |
|
|
Style Transfer (SP)
|
89% |
12224
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
12276
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26481
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2604
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2636
97.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7039
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
1023
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1088
1.45 KIPS |
|
|
Text Classification (Q)
|
88% |
1118
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
421
15.0 IPS |
