nubia NX789J
Geekbench AI Score
1585
Single Precision Score
1625
Half Precision Score
2648
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 08:35 AM |
| Views | 14 |
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% |
692
128.7 IPS |
|
|
Image Classification (HP)
|
100% |
1014
188.6 IPS |
|
|
Image Classification (Q)
|
100% |
2162
402.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2743
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3082
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3066
3.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
7928
9.40 IPS |
|
|
Object Detection (SP)
|
98% |
1027
81.7 IPS |
|
|
Object Detection (HP)
|
98% |
985
78.3 IPS |
|
|
Object Detection (Q)
|
83% |
2202
177.9 IPS |
|
|
Face Detection (SP)
|
100% |
2883
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (Q)
|
95% |
5102
60.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2657
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2661
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5752
52.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6742
8.75 IPS |
|
|
Style Transfer (HP)
|
89% |
6867
8.91 IPS |
|
|
Style Transfer (Q)
|
98% |
13363
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1388
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3086
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
528
705.4 IPS |
|
|
Text Classification (HP)
|
99% |
481
641.4 IPS |
|
|
Text Classification (Q)
|
88% |
374
504.5 IPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
363
12.9 IPS |
