nubia NP05J
Geekbench AI Score
707
Single Precision Score
710
Half Precision Score
1606
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 21 2025 05:15 AM |
| Views | 13 |
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% |
402
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
99% |
1064
198.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1045
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
2895
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
87% |
1199
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
2383
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
2205
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1594
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
4374
5.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1736
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
620
827.9 IPS |
|
|
Text Classification (HP)
|
100% |
623
831.3 IPS |
|
|
Text Classification (Q)
|
91% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
771
18.8 IPS |
