nubia NX809J
Geekbench AI Score
825
Single Precision Score
32758
Half Precision Score
84399
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 05 2026 11:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | nubia NX809J |
| Model ID | nubia NX809J |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| 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 | 10.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
510
94.9 IPS |
|
|
Image Classification (HP)
|
100% |
25876
4.81 KIPS |
|
|
Image Classification (Q)
|
96% |
49788
9.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16584
268.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
66681
1.08 KIPS |
|
|
Pose Estimation (SP)
|
100% |
825
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
159798
186.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
647619
758.0 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (HP)
|
100% |
24985
1.98 KIPS |
|
|
Object Detection (Q)
|
85% |
35639
2.87 KIPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
50467
599.7 IPS |
|
|
Face Detection (Q)
|
97% |
188164
2.24 KIPS |
|
|
Depth Estimation (SP)
|
100% |
1033
7.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
95615
736.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
209224
1.95 KIPS |
|
|
Style Transfer (SP)
|
100% |
1697
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
101645
130.7 IPS |
|
|
Style Transfer (Q)
|
98% |
615832
794.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57698
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
174843
6.48 KIPS |
|
|
Text Classification (SP)
|
100% |
731
975.7 IPS |
|
|
Text Classification (HP)
|
100% |
4491
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
11874
15.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6536
112.6 IPS |
|
|
Machine Translation (Q)
|
56% |
4755
122.5 IPS |
