HONOR MAA-AN10
Geekbench AI Score
1584
Single Precision Score
1513
Half Precision Score
2399
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 08:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM SM8550 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR MAA-AN10 |
| Model ID | HONOR MAA-AN10 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM SM8550 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
643
119.6 IPS |
|
|
Image Classification (HP)
|
100% |
876
162.9 IPS |
|
|
Image Classification (Q)
|
100% |
1826
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1418
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2379
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1587
1.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
3774
4.48 IPS |
|
|
Object Detection (SP)
|
98% |
1416
112.7 IPS |
|
|
Object Detection (HP)
|
98% |
1438
114.4 IPS |
|
|
Object Detection (Q)
|
83% |
2041
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (Q)
|
95% |
4763
56.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2630
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2676
20.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4717
43.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6239
8.10 IPS |
|
|
Style Transfer (HP)
|
89% |
6211
8.06 IPS |
|
|
Style Transfer (Q)
|
98% |
11690
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1320
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3448
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.5 IPS |
|
|
Text Classification (HP)
|
99% |
625
834.8 IPS |
|
|
Text Classification (Q)
|
88% |
1007
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
