nubia NX733J
Geekbench AI Score
813
Single Precision Score
1401
Half Precision Score
1258
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 08:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
576
107.2 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.8 IPS |
|
|
Image Classification (Q)
|
99% |
675
125.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1160
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1301
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1977
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
86% |
636
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
2407
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
2016
15.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1665
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2652
3.41 IPS |
|
|
Style Transfer (HP)
|
100% |
5918
7.61 IPS |
|
|
Style Transfer (Q)
|
98% |
5891
7.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
978
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
703
938.0 IPS |
|
|
Text Classification (HP)
|
100% |
693
925.0 IPS |
|
|
Text Classification (Q)
|
91% |
1092
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
57% |
402
9.81 IPS |
