nubia NX789J
Geekbench AI Score
2674
Single Precision Score
2818
Half Precision Score
5208
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 09:41 PM |
| Views | 4 |
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 | 22.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1168
217.3 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.4 IPS |
|
|
Image Classification (Q)
|
100% |
4690
872.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5525
89.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5269
6.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
13262
15.7 IPS |
|
|
Object Detection (SP)
|
98% |
1727
137.4 IPS |
|
|
Object Detection (HP)
|
98% |
1734
138.0 IPS |
|
|
Object Detection (Q)
|
83% |
3947
318.8 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (Q)
|
95% |
10085
120.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4544
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4636
35.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10202
93.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11074
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11212
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25009
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2443
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6718
248.9 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1094
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
573
20.4 IPS |
