LENOVO TB322FC
Geekbench AI Score
2560
Single Precision Score
3954
Half Precision Score
3307
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 02:10 PM |
| 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% |
1503
279.5 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.9 IPS |
|
|
Image Classification (Q)
|
100% |
2054
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4785
77.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4464
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12909
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23136
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22787
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
99% |
1953
154.9 IPS |
|
|
Object Detection (Q)
|
85% |
1852
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
5305
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
10854
129.0 IPS |
|
|
Face Detection (Q)
|
97% |
8956
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6743
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9428
72.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
7287
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15783
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35762
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35600
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3556
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5356
197.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5244
194.4 IPS |
|
|
Text Classification (SP)
|
35% |
69
670.5 IPS |
|
|
Text Classification (HP)
|
35% |
69
627.2 IPS |
|
|
Text Classification (Q)
|
33% |
56
625.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (Q)
|
48% |
593
22.8 IPS |
