nubia NX733J
Geekbench AI Score
240
Single Precision Score
235
Half Precision Score
502
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 08:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
99% |
319
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
339
5.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
842
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (Q)
|
87% |
344
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
97% |
755
9.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
299
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
299
2.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
690
6.26 IPS |
|
|
Style Transfer (SP)
|
100% |
900
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1516
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
143
5.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
507
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.1 IPS |
|
|
Text Classification (HP)
|
100% |
187
249.1 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.8 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.81 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.45 IPS |
