HONOR MAA-AN00
Geekbench AI Score
231
Single Precision Score
232
Half Precision Score
15531
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 11:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM SM7550 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
97% |
15587
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
8564
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
241
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
62085
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.4 IPS |
|
|
Object Detection (Q)
|
86% |
6056
486.9 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (Q)
|
97% |
32897
392.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
304
2.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
304
2.34 IPS |
|
|
Depth Estimation (Q)
|
63% |
31813
297.9 IPS |
|
|
Style Transfer (SP)
|
100% |
540
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
119298
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30380
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
189
252.3 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.2 IPS |
|
|
Text Classification (Q)
|
93% |
4954
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
55% |
866
22.7 IPS |
