Ulefone Armor 22
Geekbench AI Score
404
Single Precision Score
398
Half Precision Score
798
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 05:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6781 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Ulefone Armor 22 |
| Model ID | Ulefone Armor 22 |
| Motherboard | GQ3115TF4 |
| CPU Information | |
|---|---|
| Name | ARM MT6781 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
100% |
558
103.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
677
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
979
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
1251
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
83% |
557
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
561
6.66 IPS |
|
|
Face Detection (HP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (Q)
|
95% |
1199
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
609
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
666
5.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1163
10.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1335
1.73 IPS |
|
|
Style Transfer (HP)
|
89% |
1355
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2953
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
743
27.5 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.9 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.1 IPS |
|
|
Text Classification (Q)
|
88% |
465
627.0 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
50% |
282
10.0 IPS |
