nubia NX789J
Geekbench AI Score
1089
Single Precision Score
1232
Half Precision Score
1934
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | daredevils323 |
| Upload Date | January 20 2026 06:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX789J |
| Model ID | nubia NX789J |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
100% |
1560
290.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2121
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2486
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2526
2.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
6294
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
737
58.7 IPS |
|
|
Object Detection (HP)
|
98% |
766
60.9 IPS |
|
|
Object Detection (Q)
|
83% |
1282
103.6 IPS |
|
|
Face Detection (SP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3730
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1917
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1975
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3889
35.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5668
7.36 IPS |
|
|
Style Transfer (HP)
|
89% |
5577
7.24 IPS |
|
|
Style Transfer (Q)
|
98% |
11238
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1009
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
990
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2121
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.3 IPS |
|
|
Text Classification (HP)
|
99% |
313
418.2 IPS |
|
|
Text Classification (Q)
|
88% |
305
411.0 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
261
9.27 IPS |
