nubia NX789J
Geekbench AI Score
1629
Single Precision Score
1700
Half Precision Score
2718
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Optiluck |
| Upload Date | June 04 2025 07:14 PM |
| Views | 7 |
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 | 22.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1000
185.9 IPS |
|
|
Image Classification (HP)
|
100% |
1124
209.1 IPS |
|
|
Image Classification (Q)
|
100% |
2229
414.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3221
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3025
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2989
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
7535
8.94 IPS |
|
|
Object Detection (SP)
|
98% |
950
75.6 IPS |
|
|
Object Detection (HP)
|
98% |
946
75.3 IPS |
|
|
Object Detection (Q)
|
83% |
2131
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (Q)
|
95% |
5124
61.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2490
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2542
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5523
50.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6542
8.49 IPS |
|
|
Style Transfer (HP)
|
89% |
6554
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
13469
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2985
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
497
663.9 IPS |
|
|
Text Classification (HP)
|
99% |
442
589.6 IPS |
|
|
Text Classification (Q)
|
88% |
467
629.6 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
