nubia NX789J
Geekbench AI Score
2933
Single Precision Score
2910
Half Precision Score
5341
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | BrauseMeister |
| Upload Date | July 31 2025 08:47 PM |
| Views | 8 |
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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (Q)
|
100% |
4402
818.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5384
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5636
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5587
6.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
14057
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1773
141.1 IPS |
|
|
Object Detection (HP)
|
98% |
1814
144.3 IPS |
|
|
Object Detection (Q)
|
83% |
4225
341.3 IPS |
|
|
Face Detection (SP)
|
100% |
4449
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (Q)
|
95% |
10270
122.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4795
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4640
35.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11107
101.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11729
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11419
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25904
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2387
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7001
259.4 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
99% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
588
20.9 IPS |
