nubia NX809J
Geekbench AI Score
414
Single Precision Score
426
Half Precision Score
862
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 02:57 PM |
| Views | 3 |
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% |
482
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
99% |
1308
243.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1242
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
759
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
570
0.66 IPS |
|
|
Pose Estimation (Q)
|
98% |
808
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
617
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
386
4.59 IPS |
|
|
Face Detection (HP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
3108
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1081
8.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
632
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
530
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
529
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1415
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
482
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
311
415.7 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.8 IPS |
|
|
Text Classification (Q)
|
91% |
501
673.7 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (Q)
|
57% |
420
10.3 IPS |
