nubia NX789J
Geekbench AI Score
703
Single Precision Score
28216
Half Precision Score
63328
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 05:36 PM |
| Views | 16 |
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 | 22.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (HP)
|
100% |
21521
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
49457
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
14657
237.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
43786
712.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
123959
144.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
480788
562.7 IPS |
|
|
Object Detection (SP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
20267
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23997
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
45090
535.8 IPS |
|
|
Face Detection (Q)
|
97% |
158663
1.89 KIPS |
|
|
Depth Estimation (SP)
|
100% |
894
6.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
84782
653.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
148548
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1520
1.95 IPS |
|
|
Style Transfer (HP)
|
98% |
99364
128.1 IPS |
|
|
Style Transfer (Q)
|
98% |
496840
640.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55299
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135553
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
634
846.1 IPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8203
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3189
82.1 IPS |
