nubia NX789J
Geekbench AI Score
2176
Single Precision Score
3296
Half Precision Score
2748
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 03:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 22.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.8 IPS |
|
|
Image Classification (Q)
|
100% |
1585
294.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4161
67.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4449
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10824
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
19504
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
18902
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
99% |
1572
124.7 IPS |
|
|
Object Detection (Q)
|
85% |
1492
120.1 IPS |
|
|
Face Detection (SP)
|
100% |
4994
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
7933
94.3 IPS |
|
|
Face Detection (Q)
|
97% |
6999
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5461
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7750
59.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
5908
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13227
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28991
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27934
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2904
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4144
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4149
153.8 IPS |
|
|
Text Classification (SP)
|
35% |
62
602.4 IPS |
|
|
Text Classification (HP)
|
35% |
63
576.4 IPS |
|
|
Text Classification (Q)
|
33% |
51
576.0 IPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
48% |
507
19.4 IPS |
