nubia NX789J
Geekbench AI Score
743
Single Precision Score
28318
Half Precision Score
63843
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 02 2025 05:45 PM |
| Views | 14 |
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 @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (HP)
|
100% |
21517
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50466
9.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
14752
239.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
43802
712.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
124147
144.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
481668
563.8 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
20334
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
24045
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
44886
533.3 IPS |
|
|
Face Detection (Q)
|
97% |
159683
1.90 KIPS |
|
|
Depth Estimation (SP)
|
100% |
942
7.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
85407
658.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
150005
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1593
2.05 IPS |
|
|
Style Transfer (HP)
|
98% |
99359
128.1 IPS |
|
|
Style Transfer (Q)
|
98% |
496591
640.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55211
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135486
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
678
904.7 IPS |
|
|
Text Classification (HP)
|
100% |
3967
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
8246
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4962
85.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3307
85.2 IPS |
