LENOVO TB322FC
Geekbench AI Score
2648
Single Precision Score
4219
Half Precision Score
3485
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 07:49 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1606
298.7 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (Q)
|
100% |
2230
414.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6129
99.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4521
73.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13006
15.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23227
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22692
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
1925
152.7 IPS |
|
|
Object Detection (Q)
|
85% |
1845
148.5 IPS |
|
|
Face Detection (SP)
|
100% |
5501
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
10911
129.7 IPS |
|
|
Face Detection (Q)
|
97% |
9309
111.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6778
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9392
72.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7148
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16109
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35833
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35730
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3641
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5637
208.9 IPS |
|
|
Text Classification (SP)
|
35% |
80
783.9 IPS |
|
|
Text Classification (HP)
|
35% |
94
857.9 IPS |
|
|
Text Classification (Q)
|
33% |
79
881.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.6 IPS |
|
|
Machine Translation (Q)
|
48% |
593
22.8 IPS |
