nubia NX769J
Geekbench AI Score
2780
Single Precision Score
2839
Half Precision Score
4634
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX769J |
| Model ID | nubia NX769J |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1699
315.9 IPS |
|
|
Image Classification (HP)
|
100% |
2282
424.3 IPS |
|
|
Image Classification (Q)
|
100% |
3611
671.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4211
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4217
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4243
4.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
9719
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
2120
168.7 IPS |
|
|
Object Detection (HP)
|
98% |
2185
173.8 IPS |
|
|
Object Detection (Q)
|
83% |
3357
271.2 IPS |
|
|
Face Detection (SP)
|
100% |
4218
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4120
49.0 IPS |
|
|
Face Detection (Q)
|
95% |
7464
89.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4229
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4234
32.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7244
66.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10530
13.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10195
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20463
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5447
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
99% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1628
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (Q)
|
50% |
940
33.4 IPS |
