Ulefone Armor 28 Ultra
Geekbench AI Score
1227
Single Precision Score
5265
Half Precision Score
5012
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | themattyp503 |
| Upload Date | April 05 2025 07:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
4574
850.6 IPS |
|
|
Image Classification (Q)
|
99% |
9550
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4392
71.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9082
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18602
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75548
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (HP)
|
100% |
4798
380.6 IPS |
|
|
Object Detection (Q)
|
86% |
5883
473.2 IPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
12248
145.5 IPS |
|
|
Face Detection (Q)
|
97% |
11759
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
952
7.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
19660
151.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
33633
319.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2614
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (Q)
|
30% |
407
6.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2920
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11046
407.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8369
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
138
184.2 IPS |
|
|
Text Classification (HP)
|
97% |
2241
3.00 KIPS |
|
|
Text Classification (Q)
|
73% |
2150
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
400
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
2250
38.7 IPS |
|
|
Machine Translation (Q)
|
60% |
438
9.86 IPS |
