nubia NP05J
Geekbench AI Score
1734
Single Precision Score
1813
Half Precision Score
2442
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 03:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1125
209.3 IPS |
|
|
Image Classification (HP)
|
100% |
1223
227.5 IPS |
|
|
Image Classification (Q)
|
100% |
2434
452.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2564
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3146
3.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
9141
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
1141
90.8 IPS |
|
|
Object Detection (HP)
|
98% |
1070
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
1187
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (Q)
|
95% |
5788
69.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2967
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2131
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6505
59.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7152
9.28 IPS |
|
|
Style Transfer (HP)
|
89% |
6929
8.99 IPS |
|
|
Style Transfer (Q)
|
98% |
14404
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4518
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
739
986.6 IPS |
|
|
Text Classification (Q)
|
88% |
949
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
50% |
48
1.71 IPS |
