Ulefone Armor 28 Ultra
Geekbench AI Score
1066
Single Precision Score
1318
Half Precision Score
1300
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | themattyp503 |
| Upload Date | April 05 2025 07:35 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% |
687
127.7 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
665
124.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1750
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
786
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1199
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1177
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
645
51.1 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (Q)
|
83% |
920
74.4 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
2759
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1656
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2247
17.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1814
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4239
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
5518
7.09 IPS |
|
|
Style Transfer (Q)
|
98% |
5496
7.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1126
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.6 IPS |
|
|
Text Classification (HP)
|
100% |
462
616.1 IPS |
|
|
Text Classification (Q)
|
91% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
470
11.5 IPS |
