nubia NX789J
Geekbench AI Score
1226
Single Precision Score
1231
Half Precision Score
2024
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 02:11 PM |
| Views | 3 |
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 @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
755
140.4 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (Q)
|
100% |
1610
299.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1925
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2329
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2281
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
5612
6.66 IPS |
|
|
Object Detection (SP)
|
98% |
742
59.1 IPS |
|
|
Object Detection (HP)
|
98% |
739
58.8 IPS |
|
|
Object Detection (Q)
|
83% |
1586
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3874
46.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2005
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2005
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4160
38.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5199
6.75 IPS |
|
|
Style Transfer (HP)
|
89% |
5188
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
10160
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2451
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
328
438.4 IPS |
|
|
Text Classification (HP)
|
99% |
346
461.4 IPS |
|
|
Text Classification (Q)
|
88% |
358
482.5 IPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
292
10.4 IPS |
