nubia NX789J
Geekbench AI Score
3085
Single Precision Score
3153
Half Precision Score
5821
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | vellimora |
| Upload Date | July 09 2025 09:11 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% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (Q)
|
100% |
4587
853.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5644
91.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5601
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5396
6.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
13668
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1969
156.7 IPS |
|
|
Object Detection (HP)
|
98% |
1993
158.6 IPS |
|
|
Object Detection (Q)
|
83% |
4798
387.6 IPS |
|
|
Face Detection (SP)
|
100% |
4849
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (Q)
|
95% |
11295
134.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
5002
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4925
38.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
11547
105.8 IPS |
|
|
Style Transfer (SP)
|
89% |
12102
15.7 IPS |
|
|
Style Transfer (HP)
|
89% |
12338
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27901
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2697
99.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7925
293.6 IPS |
|
|
Text Classification (SP)
|
100% |
1144
1.53 KIPS |
|
|
Text Classification (HP)
|
99% |
1141
1.52 KIPS |
|
|
Text Classification (Q)
|
88% |
1280
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (Q)
|
50% |
713
25.3 IPS |
