HONOR MBH-N49
Geekbench AI Score
1091
Single Precision Score
1007
Half Precision Score
1483
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 07:19 AM |
| Views | 4 |
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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
758
140.9 IPS |
|
|
Image Classification (Q)
|
100% |
1170
217.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1433
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1759
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1758
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
3726
4.42 IPS |
|
|
Object Detection (SP)
|
98% |
619
49.3 IPS |
|
|
Object Detection (HP)
|
98% |
691
54.9 IPS |
|
|
Object Detection (Q)
|
83% |
1112
89.8 IPS |
|
|
Face Detection (SP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (Q)
|
95% |
2822
33.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1965
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1995
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2865
26.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3713
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3680
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
7213
9.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1706
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.3 IPS |
|
|
Text Classification (HP)
|
99% |
232
309.3 IPS |
|
|
Text Classification (Q)
|
88% |
295
397.6 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
50% |
253
9.00 IPS |
