nubia NX789J
Geekbench AI Score
2373
Single Precision Score
2379
Half Precision Score
3818
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 03:35 AM |
| Views | 1 |
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% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (Q)
|
100% |
4671
868.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2659
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2591
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3719
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4237
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4243
4.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
11105
13.2 IPS |
|
|
Object Detection (SP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (HP)
|
98% |
1315
104.7 IPS |
|
|
Object Detection (Q)
|
83% |
2956
238.8 IPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (Q)
|
95% |
7164
85.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3660
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3674
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8118
74.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9280
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9270
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19288
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3837
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
748
997.8 IPS |
|
|
Text Classification (HP)
|
99% |
738
984.6 IPS |
|
|
Text Classification (Q)
|
88% |
600
809.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
448
15.9 IPS |
