HONOR MBH-N49
Geekbench AI Score
2782
Single Precision Score
4325
Half Precision Score
3679
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 08 2025 05:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
2881
535.7 IPS |
|
|
Image Classification (Q)
|
100% |
2826
525.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3580
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6473
104.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5944
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12900
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23152
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22684
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
2074
164.5 IPS |
|
|
Object Detection (Q)
|
85% |
2085
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
10452
124.2 IPS |
|
|
Face Detection (Q)
|
97% |
8939
106.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6703
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9218
71.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7181
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15686
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34329
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35441
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3537
130.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5918
219.3 IPS |
|
|
Text Classification (SP)
|
35% |
92
891.9 IPS |
|
|
Text Classification (HP)
|
35% |
89
811.1 IPS |
|
|
Text Classification (Q)
|
33% |
74
829.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
48% |
574
22.0 IPS |
