nubia NX789J
Geekbench AI Score
2130
Single Precision Score
2139
Half Precision Score
3477
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 10:10 PM |
| 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 @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 22.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2109
392.2 IPS |
|
|
Image Classification (HP)
|
100% |
2111
392.5 IPS |
|
|
Image Classification (Q)
|
100% |
4760
885.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3261
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3769
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3786
4.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
10009
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1183
94.1 IPS |
|
|
Object Detection (HP)
|
98% |
1181
93.9 IPS |
|
|
Object Detection (Q)
|
83% |
2662
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (Q)
|
95% |
6420
76.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3246
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3285
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7074
64.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7993
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7974
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17010
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3506
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.2 IPS |
|
|
Text Classification (HP)
|
99% |
588
784.5 IPS |
|
|
Text Classification (Q)
|
88% |
577
777.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
400
14.2 IPS |
