nubia NX789J
Geekbench AI Score
220
Single Precision Score
25086
Half Precision Score
54557
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 10:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
19411
3.61 KIPS |
|
|
Image Classification (Q)
|
97% |
42592
7.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
12455
201.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
36872
599.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
121805
142.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
470288
550.4 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.91 IPS |
|
|
Object Detection (HP)
|
100% |
16755
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
19154
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (HP)
|
100% |
33567
398.9 IPS |
|
|
Face Detection (Q)
|
97% |
97695
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
80445
619.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
133484
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (HP)
|
98% |
97763
126.1 IPS |
|
|
Style Transfer (Q)
|
98% |
486338
627.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51576
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124395
4.61 KIPS |
|
|
Text Classification (SP)
|
100% |
165
220.2 IPS |
|
|
Text Classification (HP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7870
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2660
68.5 IPS |
