Ulefone Armor 28 Ultra
Geekbench AI Score
2003
Single Precision Score
1990
Half Precision Score
2818
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | panaxgwp |
| Upload Date | August 20 2025 08:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Ulefone Armor 28 Ultra |
| Model ID | Ulefone Armor 28 Ultra |
| Motherboard | Armor_28_Ultra |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 15.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (Q)
|
100% |
2638
490.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2883
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3220
3.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
5532
6.56 IPS |
|
|
Object Detection (SP)
|
98% |
1345
107.0 IPS |
|
|
Object Detection (HP)
|
98% |
1364
108.5 IPS |
|
|
Object Detection (Q)
|
83% |
1767
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (Q)
|
95% |
3994
47.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2809
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2638
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4268
39.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6299
8.18 IPS |
|
|
Style Transfer (HP)
|
89% |
6257
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
11624
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2848
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.7 IPS |
|
|
Text Classification (HP)
|
99% |
673
898.3 IPS |
|
|
Text Classification (Q)
|
88% |
1184
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
637
22.6 IPS |
