LENOVO TB322FC
Geekbench AI Score
2703
Single Precision Score
4139
Half Precision Score
3491
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 12:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1658
308.4 IPS |
|
|
Image Classification (HP)
|
100% |
2424
450.8 IPS |
|
|
Image Classification (Q)
|
100% |
2340
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3766
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5706
92.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5803
94.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13034
15.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23224
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23016
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
2074
164.5 IPS |
|
|
Object Detection (Q)
|
85% |
1936
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
5461
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
9472
112.6 IPS |
|
|
Face Detection (Q)
|
97% |
7920
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6639
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9116
70.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7019
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16308
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35556
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35310
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3516
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5557
205.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5478
203.0 IPS |
|
|
Text Classification (SP)
|
35% |
81
790.0 IPS |
|
|
Text Classification (HP)
|
35% |
81
740.5 IPS |
|
|
Text Classification (Q)
|
33% |
65
725.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (Q)
|
48% |
637
24.4 IPS |
