nubia NX733J
Geekbench AI Score
1805
Single Precision Score
2045
Half Precision Score
3321
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2025 11:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX733J |
| Model ID | nubia NX733J |
| 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% |
451
83.9 IPS |
|
|
Image Classification (HP)
|
100% |
1256
233.6 IPS |
|
|
Image Classification (Q)
|
100% |
2837
527.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3412
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3890
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3852
4.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
9987
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1188
94.6 IPS |
|
|
Object Detection (HP)
|
98% |
1187
94.5 IPS |
|
|
Object Detection (Q)
|
83% |
2713
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (Q)
|
95% |
6518
77.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3291
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3374
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6929
63.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8474
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8654
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16340
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3779
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
603
805.2 IPS |
|
|
Text Classification (HP)
|
99% |
701
935.4 IPS |
|
|
Text Classification (Q)
|
88% |
524
706.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
50% |
426
15.1 IPS |
