HONOR BKQ-N49
Geekbench AI Score
3014
Single Precision Score
4583
Half Precision Score
3862
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | slavatsarev |
| Upload Date | January 25 2026 05:42 PM |
| Views | 8 |
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% |
1881
349.8 IPS |
|
|
Image Classification (HP)
|
100% |
2400
446.3 IPS |
|
|
Image Classification (Q)
|
100% |
2244
417.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6414
104.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6456
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13850
16.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
24694
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24634
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (HP)
|
99% |
2287
181.4 IPS |
|
|
Object Detection (Q)
|
85% |
2194
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
6256
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
10720
127.4 IPS |
|
|
Face Detection (Q)
|
97% |
9228
110.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7279
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9961
77.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7633
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17195
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38144
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38068
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6098
226.0 IPS |
|
|
Text Classification (SP)
|
35% |
99
961.5 IPS |
|
|
Text Classification (HP)
|
35% |
101
914.9 IPS |
|
|
Text Classification (Q)
|
33% |
68
765.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (Q)
|
48% |
848
32.5 IPS |
