nubia NX789J
Geekbench AI Score
516
Single Precision Score
26794
Half Precision Score
59449
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 15 2025 05:25 PM |
| Views | 1 |
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% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
21806
4.06 KIPS |
|
|
Image Classification (Q)
|
97% |
50490
9.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
14643
237.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
43189
702.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
121681
142.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
471263
551.6 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
16974
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
19662
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
34675
412.0 IPS |
|
|
Face Detection (Q)
|
97% |
106715
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
980
7.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
85390
657.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
150005
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1581
2.03 IPS |
|
|
Style Transfer (HP)
|
98% |
97854
126.2 IPS |
|
|
Style Transfer (Q)
|
98% |
485820
626.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
147
5.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51508
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135492
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
692
924.2 IPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8238
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3144
81.0 IPS |
