nubia NX789J
Geekbench AI Score
707
Single Precision Score
28289
Half Precision Score
63642
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | JONEZY876STREETS |
| Upload Date | August 13 2025 09:45 AM |
| Views | 5 |
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% |
434
80.7 IPS |
|
|
Image Classification (HP)
|
100% |
21545
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
50159
9.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
14760
239.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
43714
710.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
123140
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
480106
561.9 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
20280
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23917
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
45153
536.5 IPS |
|
|
Face Detection (Q)
|
97% |
157822
1.88 KIPS |
|
|
Depth Estimation (SP)
|
100% |
886
6.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
85307
657.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
149471
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
1533
1.97 IPS |
|
|
Style Transfer (HP)
|
98% |
99278
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
496739
640.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55278
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135630
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
641
855.4 IPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8206
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (Q)
|
56% |
3320
85.5 IPS |
