Ulefone Armor 28 Ultra
Geekbench AI Score
1222
Single Precision Score
5255
Half Precision Score
4996
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | themattyp503 |
| Upload Date | April 05 2025 07:29 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% |
1202
223.6 IPS |
|
|
Image Classification (HP)
|
100% |
4598
855.1 IPS |
|
|
Image Classification (Q)
|
99% |
9451
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4352
70.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8935
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18597
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75577
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
4786
379.6 IPS |
|
|
Object Detection (Q)
|
86% |
5904
474.9 IPS |
|
|
Face Detection (SP)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
12232
145.3 IPS |
|
|
Face Detection (Q)
|
97% |
11797
140.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
951
7.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
19648
151.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
33168
315.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2616
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (Q)
|
30% |
403
6.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2910
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11077
409.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8317
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
138
184.3 IPS |
|
|
Text Classification (HP)
|
97% |
2261
3.03 KIPS |
|
|
Text Classification (Q)
|
73% |
2161
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
401
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (Q)
|
60% |
437
9.84 IPS |
