LENOVO TB322FC
Geekbench AI Score
2859
Single Precision Score
2887
Half Precision Score
5222
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 07:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2186
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.8 IPS |
|
|
Image Classification (Q)
|
100% |
4687
871.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5693
92.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5562
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5579
6.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
14136
16.8 IPS |
|
|
Object Detection (SP)
|
98% |
1773
141.1 IPS |
|
|
Object Detection (HP)
|
98% |
1861
148.1 IPS |
|
|
Object Detection (Q)
|
83% |
4273
345.2 IPS |
|
|
Face Detection (SP)
|
100% |
4700
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (Q)
|
95% |
10665
127.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4733
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4740
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
11040
101.1 IPS |
|
|
Style Transfer (SP)
|
89% |
12205
15.8 IPS |
|
|
Style Transfer (HP)
|
89% |
12022
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25150
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2515
92.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6957
257.8 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
99% |
1073
1.43 KIPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
420
14.9 IPS |
