Ulefone Armor 28 Ultra
Geekbench AI Score
1942
Single Precision Score
1923
Half Precision Score
2846
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | themattyp503 |
| Upload Date | April 05 2025 07:09 PM |
| Views | 4 |
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% |
1668
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
1745
324.6 IPS |
|
|
Image Classification (Q)
|
100% |
2643
491.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2781
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3296
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3116
3.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
5559
6.59 IPS |
|
|
Object Detection (SP)
|
98% |
1357
108.0 IPS |
|
|
Object Detection (HP)
|
98% |
1272
101.2 IPS |
|
|
Object Detection (Q)
|
83% |
1674
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (Q)
|
95% |
4138
49.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2539
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2555
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4207
38.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6132
7.96 IPS |
|
|
Style Transfer (HP)
|
89% |
6146
7.98 IPS |
|
|
Style Transfer (Q)
|
98% |
11781
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2853
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
598
798.1 IPS |
|
|
Text Classification (HP)
|
99% |
574
766.1 IPS |
|
|
Text Classification (Q)
|
88% |
1198
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (Q)
|
50% |
729
25.9 IPS |
