nubia NX789J
Geekbench AI Score
711
Single Precision Score
28133
Half Precision Score
63196
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 14 2025 10:31 PM |
| 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (HP)
|
100% |
21519
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
49484
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
14563
236.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42921
697.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
729
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
123662
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
481052
563.0 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
20057
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
23747
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
44648
530.5 IPS |
|
|
Face Detection (Q)
|
97% |
162760
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
923
7.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
84313
649.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
147342
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1565
2.01 IPS |
|
|
Style Transfer (HP)
|
98% |
98967
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
497492
641.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55289
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135563
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
616
822.6 IPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8197
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3159
81.4 IPS |
