nubia NX809J
Geekbench AI Score
2309
Single Precision Score
3567
Half Precision Score
2920
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 03:22 PM |
| Views | 1 |
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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.8 IPS |
|
|
Image Classification (Q)
|
100% |
1787
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4737
76.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4159
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10853
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
19508
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19123
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
1740
138.0 IPS |
|
|
Object Detection (Q)
|
85% |
1643
132.3 IPS |
|
|
Face Detection (SP)
|
100% |
4621
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8944
106.3 IPS |
|
|
Face Detection (Q)
|
97% |
6910
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5634
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7802
60.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6062
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13416
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29647
38.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28784
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3035
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4892
181.3 IPS |
|
|
Text Classification (SP)
|
35% |
75
727.5 IPS |
|
|
Text Classification (HP)
|
35% |
73
662.9 IPS |
|
|
Text Classification (Q)
|
33% |
60
673.9 IPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (Q)
|
48% |
546
21.0 IPS |
