nubia NX789J
Geekbench AI Score
199
Single Precision Score
24562
Half Precision Score
53891
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 09:13 AM |
| Views | 6 |
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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
18347
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
41793
7.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
12231
198.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
36589
595.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
121350
141.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
469525
549.6 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (HP)
|
100% |
16812
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
20211
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (HP)
|
100% |
32938
391.4 IPS |
|
|
Face Detection (Q)
|
97% |
97204
1.16 KIPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
79806
614.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
133854
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
97611
125.9 IPS |
|
|
Style Transfer (Q)
|
98% |
485253
625.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50717
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
123586
4.58 KIPS |
|
|
Text Classification (SP)
|
100% |
131
174.6 IPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
7863
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (Q)
|
56% |
2321
59.8 IPS |
