HONOR MAA-AN00
Geekbench AI Score
115
Single Precision Score
116
Half Precision Score
14068
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 05:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
63
11.7 IPS |
|
|
Image Classification (HP)
|
100% |
63
11.8 IPS |
|
|
Image Classification (Q)
|
97% |
12990
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
78
1.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
8430
137.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
150
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
61439
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
67
5.28 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.37 IPS |
|
|
Object Detection (Q)
|
86% |
5821
468.0 IPS |
|
|
Face Detection (SP)
|
100% |
144
1.71 IPS |
|
|
Face Detection (HP)
|
100% |
147
1.75 IPS |
|
|
Face Detection (Q)
|
97% |
23258
277.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
161
1.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
160
1.24 IPS |
|
|
Depth Estimation (Q)
|
63% |
30622
286.7 IPS |
|
|
Style Transfer (SP)
|
100% |
300
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
304
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
116008
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
27712
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
91
121.5 IPS |
|
|
Text Classification (HP)
|
100% |
92
123.4 IPS |
|
|
Text Classification (Q)
|
93% |
4223
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (HP)
|
100% |
166
2.87 IPS |
|
|
Machine Translation (Q)
|
55% |
802
21.0 IPS |
