HONOR BKQ-N49
Geekbench AI Score
283
Single Precision Score
31041
Half Precision Score
76492
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 01:21 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
100% |
22508
4.19 KIPS |
|
|
Image Classification (Q)
|
96% |
48636
9.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
16190
262.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
58212
946.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
298
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
167413
195.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
642979
752.6 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
22665
1.80 KIPS |
|
|
Object Detection (Q)
|
85% |
29959
2.41 KIPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
43687
519.1 IPS |
|
|
Face Detection (Q)
|
97% |
125604
1.50 KIPS |
|
|
Depth Estimation (SP)
|
100% |
336
2.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
92079
709.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
192072
1.79 KIPS |
|
|
Style Transfer (SP)
|
100% |
609
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
101152
130.0 IPS |
|
|
Style Transfer (Q)
|
98% |
605152
780.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
168
6.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57604
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
174621
6.47 KIPS |
|
|
Text Classification (SP)
|
100% |
209
278.7 IPS |
|
|
Text Classification (HP)
|
100% |
4433
5.92 KIPS |
|
|
Text Classification (Q)
|
93% |
11778
15.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
5782
99.6 IPS |
|
|
Machine Translation (Q)
|
56% |
4188
107.9 IPS |
