HONOR MAA-AN00
Geekbench AI Score
684
Single Precision Score
751
Half Precision Score
1312
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 04:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
537
100.0 IPS |
|
|
Image Classification (HP)
|
100% |
829
154.2 IPS |
|
|
Image Classification (Q)
|
100% |
1180
219.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2053
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1377
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
2695
3.20 IPS |
|
|
Object Detection (SP)
|
98% |
381
30.3 IPS |
|
|
Object Detection (HP)
|
98% |
387
30.8 IPS |
|
|
Object Detection (Q)
|
83% |
798
64.5 IPS |
|
|
Face Detection (SP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
95% |
1762
21.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
949
7.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
945
7.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
2130
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2328
3.02 IPS |
|
|
Style Transfer (HP)
|
89% |
2309
3.00 IPS |
|
|
Style Transfer (Q)
|
98% |
5394
6.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
513
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1411
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
255
339.9 IPS |
|
|
Text Classification (HP)
|
99% |
255
340.0 IPS |
|
|
Text Classification (Q)
|
88% |
420
566.8 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
50% |
243
8.62 IPS |
