HONOR BKQ-N49
Geekbench AI Score
810
Single Precision Score
809
Half Precision Score
1907
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 01:22 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% |
498
92.6 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
99% |
1356
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1276
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
837
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
816
0.95 IPS |
|
|
Pose Estimation (Q)
|
98% |
3219
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
87% |
1431
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
2987
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1021
7.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1016
7.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
2510
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1694
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1684
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
4768
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
543
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1993
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
745
993.8 IPS |
|
|
Text Classification (HP)
|
100% |
744
992.6 IPS |
|
|
Text Classification (Q)
|
91% |
1216
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (Q)
|
57% |
924
22.6 IPS |
