HONOR BKQ-N49
Geekbench AI Score
3004
Single Precision Score
4669
Half Precision Score
3966
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 10:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1837
341.7 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.2 IPS |
|
|
Image Classification (Q)
|
100% |
3071
571.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3944
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6913
112.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6334
103.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13745
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24831
29.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
24509
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
99% |
2323
184.3 IPS |
|
|
Object Detection (Q)
|
85% |
2220
178.7 IPS |
|
|
Face Detection (SP)
|
100% |
5778
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
10229
121.5 IPS |
|
|
Face Detection (Q)
|
97% |
8384
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7299
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9970
77.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7703
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17490
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39100
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37343
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6557
242.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6452
239.1 IPS |
|
|
Text Classification (SP)
|
35% |
101
982.1 IPS |
|
|
Text Classification (HP)
|
35% |
102
928.2 IPS |
|
|
Text Classification (Q)
|
33% |
80
893.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1890
32.6 IPS |
|
|
Machine Translation (Q)
|
48% |
731
28.0 IPS |
