nubia NP05J
Geekbench AI Score
732
Single Precision Score
729
Half Precision Score
1707
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 21 2025 05:06 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NP05J |
| Model ID | nubia NP05J |
| 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% |
448
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
1193
222.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
559
9.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1136
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
2936
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
87% |
1270
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
2586
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
918
7.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
916
7.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
2255
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1591
2.04 IPS |
|
|
Style Transfer (HP)
|
100% |
1584
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
4394
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
497
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
502
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1837
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
683
911.6 IPS |
|
|
Text Classification (HP)
|
100% |
684
912.8 IPS |
|
|
Text Classification (Q)
|
91% |
1092
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
57% |
812
19.8 IPS |
