LENOVO TB322FC
Geekbench AI Score
702
Single Precision Score
699
Half Precision Score
1646
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 10:30 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
422
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
1147
214.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1075
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
2842
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
87% |
1237
99.2 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
2535
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
877
6.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
2177
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1538
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1548
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4193
5.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1730
64.1 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.4 IPS |
|
|
Text Classification (HP)
|
100% |
657
876.4 IPS |
|
|
Text Classification (Q)
|
91% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
57% |
783
19.1 IPS |
