nubia NX789J
Geekbench AI Score
2691
Single Precision Score
2681
Half Precision Score
4681
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 01:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1910
355.3 IPS |
|
|
Image Classification (HP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (Q)
|
100% |
4425
822.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5409
88.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5270
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5248
6.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
13623
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1649
131.2 IPS |
|
|
Object Detection (HP)
|
98% |
1703
135.5 IPS |
|
|
Object Detection (Q)
|
83% |
3802
307.1 IPS |
|
|
Face Detection (SP)
|
100% |
4254
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (Q)
|
95% |
9147
109.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4325
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4427
34.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10152
93.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11302
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9988
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21104
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4306
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1030
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.7 IPS |
