nubia NX789J
Geekbench AI Score
704
Single Precision Score
28113
Half Precision Score
63282
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 08 2025 12:26 AM |
| Views | 20 |
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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
21536
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
49451
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
14505
235.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
43011
699.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
716
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
122277
142.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
479488
561.2 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
20116
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
23715
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
44488
528.6 IPS |
|
|
Face Detection (Q)
|
97% |
156327
1.86 KIPS |
|
|
Depth Estimation (SP)
|
100% |
892
6.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
84420
650.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
147951
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1535
1.97 IPS |
|
|
Style Transfer (HP)
|
98% |
99272
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
497587
641.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55381
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135794
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
616
822.0 IPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8210
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4906
84.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3319
85.5 IPS |
