Ulefone Armor 28 Ultra
Geekbench AI Score
1909
Single Precision Score
1821
Half Precision Score
2785
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 09:19 PM |
| Views | 1 |
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% |
1620
301.3 IPS |
|
|
Image Classification (HP)
|
100% |
1660
308.7 IPS |
|
|
Image Classification (Q)
|
100% |
2604
484.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2860
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3130
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2392
2.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
5268
6.25 IPS |
|
|
Object Detection (SP)
|
98% |
1238
98.5 IPS |
|
|
Object Detection (HP)
|
98% |
1221
97.2 IPS |
|
|
Object Detection (Q)
|
83% |
1817
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (Q)
|
95% |
4081
48.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2658
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2473
19.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4280
39.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5851
7.59 IPS |
|
|
Style Transfer (HP)
|
89% |
5773
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
11067
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1136
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2795
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.9 IPS |
|
|
Text Classification (HP)
|
99% |
672
897.2 IPS |
|
|
Text Classification (Q)
|
88% |
1187
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
616
21.9 IPS |
