nubia NX789J
Geekbench AI Score
712
Single Precision Score
28198
Half Precision Score
63429
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | BrauseMeister |
| Upload Date | July 31 2025 08:54 PM |
| Views | 10 |
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% |
413
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
21679
4.03 KIPS |
|
|
Image Classification (Q)
|
97% |
50329
9.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
14630
237.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
43019
699.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
123043
143.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
480045
561.9 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
20176
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
23725
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
44918
533.7 IPS |
|
|
Face Detection (Q)
|
97% |
158627
1.89 KIPS |
|
|
Depth Estimation (SP)
|
100% |
924
7.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
85026
655.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
149340
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
1580
2.03 IPS |
|
|
Style Transfer (HP)
|
98% |
99260
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
496553
640.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55278
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135703
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
615
820.5 IPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8198
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4877
84.0 IPS |
|
|
Machine Translation (Q)
|
56% |
3267
84.2 IPS |
