nubia NP05J
Geekbench AI Score
1589
Single Precision Score
1586
Half Precision Score
2524
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 10:56 AM |
| Views | 4 |
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% |
1560
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
1227
228.1 IPS |
|
|
Image Classification (Q)
|
100% |
2909
540.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3850
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3834
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3738
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
9475
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
1264
100.6 IPS |
|
|
Object Detection (HP)
|
98% |
1183
94.1 IPS |
|
|
Object Detection (Q)
|
83% |
2528
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3391
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
6988
83.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3094
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3214
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7482
68.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7890
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8059
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15596
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3262
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
630
840.5 IPS |
|
|
Text Classification (HP)
|
99% |
616
822.2 IPS |
|
|
Text Classification (Q)
|
88% |
335
452.4 IPS |
|
|
Machine Translation (SP)
|
100% |
116
2.00 IPS |
|
|
Machine Translation (HP)
|
100% |
144
2.48 IPS |
|
|
Machine Translation (Q)
|
50% |
44
1.57 IPS |
