HONOR MAA-AN00
Geekbench AI Score
821
Single Precision Score
775
Half Precision Score
1518
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 08:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
100% |
1007
187.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1248
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1383
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1377
1.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
4798
5.69 IPS |
|
|
Object Detection (SP)
|
98% |
719
57.2 IPS |
|
|
Object Detection (HP)
|
98% |
725
57.7 IPS |
|
|
Object Detection (Q)
|
83% |
1714
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (Q)
|
95% |
4380
52.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1710
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1018
7.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
2069
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4967
6.45 IPS |
|
|
Style Transfer (HP)
|
89% |
4994
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
5208
6.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1371
50.8 IPS |
|
|
Text Classification (SP)
|
100% |
237
315.9 IPS |
|
|
Text Classification (HP)
|
99% |
234
312.8 IPS |
|
|
Text Classification (Q)
|
88% |
426
574.4 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
50% |
229
8.11 IPS |
