HONOR MBH-N49
Geekbench AI Score
1050
Single Precision Score
988
Half Precision Score
1559
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 20 2025 12:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm SM8750 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR MBH-N49 |
| Model ID | HONOR MBH-N49 |
| Motherboard | MBH |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm SM8750 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
100% |
1321
245.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1891
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2092
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1931
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
4500
5.34 IPS |
|
|
Object Detection (SP)
|
98% |
577
45.9 IPS |
|
|
Object Detection (HP)
|
98% |
569
45.2 IPS |
|
|
Object Detection (Q)
|
83% |
976
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (Q)
|
95% |
2690
32.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1794
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1765
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2821
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4689
6.09 IPS |
|
|
Style Transfer (HP)
|
89% |
4684
6.08 IPS |
|
|
Style Transfer (Q)
|
98% |
9030
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
895
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1937
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.3 IPS |
|
|
Text Classification (HP)
|
99% |
291
388.1 IPS |
|
|
Text Classification (Q)
|
88% |
373
503.7 IPS |
|
|
Machine Translation (SP)
|
100% |
415
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.56 IPS |
