nubia NX809J
Geekbench AI Score
2135
Single Precision Score
3244
Half Precision Score
2761
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 11:53 AM |
| 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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.6 IPS |
|
|
Image Classification (Q)
|
100% |
1853
344.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4859
78.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4678
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10113
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
18042
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17887
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (HP)
|
99% |
1587
125.9 IPS |
|
|
Object Detection (Q)
|
85% |
1573
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
4350
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7600
90.3 IPS |
|
|
Face Detection (Q)
|
97% |
7121
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5263
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7412
57.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
5716
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12346
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27045
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25962
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4340
160.8 IPS |
|
|
Text Classification (SP)
|
35% |
59
572.7 IPS |
|
|
Text Classification (HP)
|
35% |
58
525.5 IPS |
|
|
Text Classification (Q)
|
33% |
46
513.0 IPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
48% |
502
19.3 IPS |
