nubia NX789J
Geekbench AI Score
2639
Single Precision Score
2614
Half Precision Score
4827
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | JONEZY876STREETS |
| Upload Date | August 13 2025 09:33 AM |
| 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1898
353.0 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (Q)
|
100% |
4113
765.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5151
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5112
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
5341
6.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
12926
15.3 IPS |
|
|
Object Detection (SP)
|
98% |
1584
126.1 IPS |
|
|
Object Detection (HP)
|
98% |
1631
129.8 IPS |
|
|
Object Detection (Q)
|
83% |
3673
296.7 IPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
3797
45.1 IPS |
|
|
Face Detection (Q)
|
95% |
8905
106.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4599
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4174
32.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9227
84.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10633
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10638
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24218
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6735
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
895
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
50% |
532
18.9 IPS |
