HONOR MAA-AN00
Geekbench AI Score
115
Single Precision Score
115
Half Precision Score
220
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 05:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
62
11.5 IPS |
|
|
Image Classification (Q)
|
99% |
144
26.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
79
1.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
110
1.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
520
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
66
5.27 IPS |
|
|
Object Detection (HP)
|
100% |
67
5.33 IPS |
|
|
Object Detection (Q)
|
87% |
167
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
145
1.72 IPS |
|
|
Face Detection (HP)
|
100% |
147
1.74 IPS |
|
|
Face Detection (Q)
|
97% |
284
3.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
154
1.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
157
1.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
282
2.56 IPS |
|
|
Style Transfer (SP)
|
100% |
299
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
299
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
662
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
269
9.97 IPS |
|
|
Text Classification (SP)
|
100% |
91
121.2 IPS |
|
|
Text Classification (HP)
|
100% |
91
122.1 IPS |
|
|
Text Classification (Q)
|
91% |
132
177.5 IPS |
|
|
Machine Translation (SP)
|
100% |
166
2.85 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (Q)
|
57% |
103
2.52 IPS |
