LENOVO TB322FC
Geekbench AI Score
720
Single Precision Score
27886
Half Precision Score
63101
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 02:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
21478
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
50469
9.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
13671
221.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
41945
682.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
123649
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
480236
562.1 IPS |
|
|
Object Detection (SP)
|
100% |
415
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
19923
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
23258
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
43429
516.0 IPS |
|
|
Face Detection (Q)
|
97% |
157794
1.88 KIPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
84629
652.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
147591
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1545
1.99 IPS |
|
|
Style Transfer (HP)
|
98% |
98927
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
496875
640.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55659
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135860
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
667
889.9 IPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8237
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4900
84.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3269
84.2 IPS |
