nubia NX809J
Geekbench AI Score
216
Single Precision Score
232
Half Precision Score
521
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fenom |
| Upload Date | December 18 2025 01:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 14.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (Q)
|
99% |
271
50.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
333
5.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
843
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.79 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.80 IPS |
|
|
Object Detection (Q)
|
87% |
352
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
352
4.19 IPS |
|
|
Face Detection (Q)
|
97% |
1329
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
295
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
295
2.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
741
6.72 IPS |
|
|
Style Transfer (SP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1497
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
144
5.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
144
5.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.8 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.2 IPS |
|
|
Text Classification (Q)
|
91% |
298
401.0 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.40 IPS |
