nubia NP05J
Geekbench AI Score
484
Single Precision Score
434
Half Precision Score
1017
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | August 05 2025 11:14 AM |
| Views | 11 |
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 | 22.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.6 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
99% |
1190
222.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1116
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
3056
3.58 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
87% |
1280
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
2555
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
904
6.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
2219
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1531
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
511
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1370
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
129
4.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
451
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.7 IPS |
|
|
Text Classification (HP)
|
100% |
166
222.2 IPS |
|
|
Text Classification (Q)
|
91% |
277
372.4 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
57% |
237
5.80 IPS |
