HONOR BKQ-N49
Geekbench AI Score
284
Single Precision Score
250
Half Precision Score
578
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 12:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm SM8850 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | HONOR BKQ-N49 |
| Model ID | HONOR BKQ-N49 |
| Motherboard | BKQ |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm SM8850 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 10.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.3 IPS |
|
|
Image Classification (Q)
|
99% |
376
70.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
392
6.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
971
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
87% |
410
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
394
4.69 IPS |
|
|
Face Detection (HP)
|
100% |
394
4.69 IPS |
|
|
Face Detection (Q)
|
97% |
854
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
333
2.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
333
2.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
786
7.13 IPS |
|
|
Style Transfer (SP)
|
100% |
612
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
610
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1717
2.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
166
6.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
576
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.4 IPS |
|
|
Text Classification (HP)
|
100% |
211
282.3 IPS |
|
|
Text Classification (Q)
|
91% |
353
474.3 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
57% |
304
7.42 IPS |
