LENOVO TB322FC
Geekbench AI Score
2600
Single Precision Score
4123
Half Precision Score
3544
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | July 13 2025 03:08 PM |
| Views | 3 |
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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1631
303.2 IPS |
|
|
Image Classification (HP)
|
100% |
2344
435.9 IPS |
|
|
Image Classification (Q)
|
100% |
2595
482.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3325
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5930
96.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5306
86.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12937
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23116
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22739
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
99% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
85% |
1890
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
5635
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
11080
131.7 IPS |
|
|
Face Detection (Q)
|
97% |
9303
110.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6749
52.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9421
72.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7412
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15786
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35953
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35008
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3608
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5514
203.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5446
201.8 IPS |
|
|
Text Classification (SP)
|
35% |
73
707.2 IPS |
|
|
Text Classification (HP)
|
35% |
72
656.9 IPS |
|
|
Text Classification (Q)
|
33% |
68
763.2 IPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
48% |
592
22.7 IPS |
