nubia NX789J
Geekbench AI Score
1326
Single Precision Score
2026
Half Precision Score
1710
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 06:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
797
148.2 IPS |
|
|
Image Classification (HP)
|
100% |
1151
214.0 IPS |
|
|
Image Classification (Q)
|
100% |
1083
201.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3125
50.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3372
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6175
7.21 IPS |
|
|
Pose Estimation (HP)
|
99% |
11155
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10953
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
99% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
85% |
1075
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5585
66.4 IPS |
|
|
Face Detection (Q)
|
97% |
4215
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3156
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4373
33.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
3342
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7731
9.94 IPS |
|
|
Style Transfer (HP)
|
100% |
16225
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16207
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2655
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2652
98.3 IPS |
|
|
Text Classification (SP)
|
35% |
45
434.8 IPS |
|
|
Text Classification (HP)
|
35% |
33
301.0 IPS |
|
|
Text Classification (Q)
|
33% |
26
295.7 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
48% |
316
12.1 IPS |
