LENOVO TB322FC
Geekbench AI Score
713
Single Precision Score
712
Half Precision Score
1672
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 02:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
1168
217.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1104
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
724
0.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
2899
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.6 IPS |
|
|
Object Detection (Q)
|
87% |
1252
100.4 IPS |
|
|
Face Detection (SP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
2497
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
892
6.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
895
6.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
2205
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1548
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1551
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4311
5.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1788
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
683
911.4 IPS |
|
|
Text Classification (HP)
|
100% |
677
904.1 IPS |
|
|
Text Classification (Q)
|
91% |
1087
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
57% |
794
19.4 IPS |
