nubia NX789J
Geekbench AI Score
2347
Single Precision Score
2904
Half Precision Score
5305
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | K3t4MiN3_RDMGK10SPro |
| Upload Date | July 14 2025 04:23 PM |
| Views | 11 |
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% |
249
46.2 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
100% |
4667
868.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5716
93.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5200
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5294
6.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
14032
16.6 IPS |
|
|
Object Detection (SP)
|
98% |
1797
143.0 IPS |
|
|
Object Detection (HP)
|
98% |
1804
143.6 IPS |
|
|
Object Detection (Q)
|
83% |
4090
330.4 IPS |
|
|
Face Detection (SP)
|
100% |
4375
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
4382
52.1 IPS |
|
|
Face Detection (Q)
|
95% |
10120
120.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4718
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4551
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10682
97.8 IPS |
|
|
Style Transfer (SP)
|
89% |
11757
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11542
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25581
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6634
245.8 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
598
21.2 IPS |
