HONOR MAA-AN00
Geekbench AI Score
811
Single Precision Score
1293
Half Precision Score
1108
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 04:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM SM7550 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HONOR MAA-AN00 |
| Model ID | HONOR MAA-AN00 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM SM7550 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (HP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (Q)
|
99% |
821
153.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1048
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3703
4.32 IPS |
|
|
Pose Estimation (HP)
|
99% |
7045
8.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
6780
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
99% |
732
58.1 IPS |
|
|
Object Detection (Q)
|
85% |
694
55.8 IPS |
|
|
Face Detection (SP)
|
100% |
1434
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
2313
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
1981
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2159
16.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3813
29.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
3061
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4559
5.86 IPS |
|
|
Style Transfer (HP)
|
100% |
9656
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9357
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1400
51.9 IPS |
|
|
Text Classification (SP)
|
35% |
31
303.2 IPS |
|
|
Text Classification (HP)
|
35% |
35
316.6 IPS |
|
|
Text Classification (Q)
|
35% |
33
302.7 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (HP)
|
97% |
345
5.97 IPS |
|
|
Machine Translation (Q)
|
64% |
265
5.45 IPS |
