Ulefone Armor 15
Geekbench AI Score
123
Single Precision Score
116
Half Precision Score
82
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 05:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Ulefone Armor 15 |
| Model ID | Ulefone Armor 15 |
| Motherboard | Ulefone |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
100% |
67
12.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
104
1.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
89
1.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
425
0.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
410
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
74
5.84 IPS |
|
|
Object Detection (HP)
|
100% |
74
5.90 IPS |
|
|
Object Detection (Q)
|
85% |
66
5.32 IPS |
|
|
Face Detection (SP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (HP)
|
100% |
220
2.61 IPS |
|
|
Face Detection (Q)
|
97% |
176
2.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
258
1.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
202
1.85 IPS |
|
|
Style Transfer (SP)
|
100% |
772
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
771
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
729
0.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
157
5.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
139
5.17 IPS |
|
|
Text Classification (SP)
|
35% |
6
50.6 IPS |
|
|
Text Classification (HP)
|
35% |
5
46.7 IPS |
|
|
Text Classification (Q)
|
32% |
3
36.6 IPS |
|
|
Machine Translation (SP)
|
100% |
62
1.07 IPS |
|
|
Machine Translation (HP)
|
100% |
53
0.91 IPS |
|
|
Machine Translation (Q)
|
41% |
8
0.56 IPS |
