nubia NX789J
Geekbench AI Score
2147
Single Precision Score
2700
Half Precision Score
4925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | vellimora |
| Upload Date | June 03 2025 10:38 PM |
| Views | 9 |
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% |
211
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (Q)
|
100% |
3960
736.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5425
88.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5351
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5157
6.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
13130
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1605
127.7 IPS |
|
|
Object Detection (HP)
|
98% |
1742
138.6 IPS |
|
|
Object Detection (Q)
|
83% |
3941
318.4 IPS |
|
|
Face Detection (SP)
|
100% |
4118
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (Q)
|
95% |
9579
114.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4204
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4138
32.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
9791
89.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10659
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10079
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20510
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2209
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6830
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
985
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1064
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
541
19.2 IPS |
