nubia NX809J
Geekbench AI Score
2122
Single Precision Score
3212
Half Precision Score
2760
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 02:02 PM |
| Views | 8 |
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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
100% |
1997
371.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4854
78.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4758
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10066
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
18165
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17537
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
99% |
1580
125.3 IPS |
|
|
Object Detection (Q)
|
85% |
1531
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
4154
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7419
88.1 IPS |
|
|
Face Detection (Q)
|
97% |
6656
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5272
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7341
56.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
5742
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12439
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25801
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26825
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2797
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4442
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4462
165.4 IPS |
|
|
Text Classification (SP)
|
35% |
61
591.8 IPS |
|
|
Text Classification (HP)
|
35% |
59
536.1 IPS |
|
|
Text Classification (Q)
|
33% |
46
520.7 IPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1216
21.0 IPS |
|
|
Machine Translation (Q)
|
48% |
478
18.4 IPS |
