nubia NX789J
Geekbench AI Score
211
Single Precision Score
223
Half Precision Score
457
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 09:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
99% |
295
55.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
305
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
780
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (HP)
|
100% |
113
9.00 IPS |
|
|
Object Detection (Q)
|
87% |
319
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.03 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
97% |
682
8.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
374
2.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
623
5.66 IPS |
|
|
Style Transfer (SP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
679
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1396
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
456
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.7 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.5 IPS |
|
|
Text Classification (Q)
|
91% |
276
371.5 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
57% |
240
5.86 IPS |
