Ulefone Armor 28 Ultra
Geekbench AI Score
1102
Single Precision Score
1326
Half Precision Score
1333
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | themattyp503 |
| Upload Date | April 05 2025 07:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
654
121.6 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (Q)
|
99% |
957
178.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1187
1.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
1172
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
83% |
918
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
2906
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (Q)
|
97% |
2595
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1646
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2264
17.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1785
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4245
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
5486
7.05 IPS |
|
|
Style Transfer (Q)
|
98% |
5473
7.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1110
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.2 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.9 IPS |
|
|
Text Classification (Q)
|
91% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
473
11.5 IPS |
