nubia NX809J
Geekbench AI Score
2191
Single Precision Score
3391
Half Precision Score
2758
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fenom |
| Upload Date | December 18 2025 01:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
1966
365.6 IPS |
|
|
Image Classification (Q)
|
100% |
1919
357.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2847
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5164
83.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4118
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10115
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
18233
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
18052
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
99% |
1694
134.4 IPS |
|
|
Object Detection (Q)
|
85% |
1609
129.5 IPS |
|
|
Face Detection (SP)
|
100% |
4621
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
7934
94.3 IPS |
|
|
Face Detection (Q)
|
97% |
6575
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5268
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7387
57.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5730
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12698
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27682
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26812
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2773
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4668
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4328
160.4 IPS |
|
|
Text Classification (SP)
|
35% |
68
659.5 IPS |
|
|
Text Classification (HP)
|
35% |
65
587.2 IPS |
|
|
Text Classification (Q)
|
33% |
50
560.6 IPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
48% |
508
19.5 IPS |
