HONOR MBH-N49
Geekbench AI Score
1057
Single Precision Score
1040
Half Precision Score
1688
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 09 2025 03:55 PM |
| 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% |
733
136.3 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
100% |
1205
224.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1837
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2050
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
4875
5.78 IPS |
|
|
Object Detection (SP)
|
98% |
626
49.8 IPS |
|
|
Object Detection (HP)
|
98% |
645
51.3 IPS |
|
|
Object Detection (Q)
|
83% |
1365
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (Q)
|
95% |
2849
34.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1747
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1745
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3369
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4529
5.88 IPS |
|
|
Style Transfer (HP)
|
89% |
4605
5.98 IPS |
|
|
Style Transfer (Q)
|
98% |
8780
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2099
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.2 IPS |
|
|
Text Classification (HP)
|
99% |
242
323.5 IPS |
|
|
Text Classification (Q)
|
88% |
267
359.5 IPS |
|
|
Machine Translation (SP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
50% |
271
9.60 IPS |
