nubia NX789J
Geekbench AI Score
2039
Single Precision Score
2086
Half Precision Score
3477
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | normskilight |
| Upload Date | November 10 2025 06:40 PM |
| Views | 2 |
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% |
2026
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.2 IPS |
|
|
Image Classification (Q)
|
100% |
4730
879.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2649
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3315
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3804
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3886
4.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
13501
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
989
78.7 IPS |
|
|
Object Detection (HP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (Q)
|
83% |
2083
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (Q)
|
95% |
5341
63.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2718
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3237
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7028
64.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8145
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8077
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17292
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4035
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.4 IPS |
|
|
Text Classification (HP)
|
99% |
562
750.7 IPS |
|
|
Text Classification (Q)
|
88% |
543
731.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
413
14.7 IPS |
