nubia NP05J
Geekbench AI Score
1432
Single Precision Score
1639
Half Precision Score
2487
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 08:20 PM |
| Views | 1 |
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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
868
161.4 IPS |
|
|
Image Classification (Q)
|
100% |
3038
565.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2651
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3177
3.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
7897
9.37 IPS |
|
|
Object Detection (SP)
|
98% |
996
79.3 IPS |
|
|
Object Detection (HP)
|
98% |
1069
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
2100
169.6 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (Q)
|
95% |
5244
62.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2789
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2594
20.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5602
51.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6727
8.73 IPS |
|
|
Style Transfer (HP)
|
89% |
7201
9.35 IPS |
|
|
Style Transfer (Q)
|
98% |
13761
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2250
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.9 IPS |
|
|
Text Classification (HP)
|
99% |
457
610.1 IPS |
|
|
Text Classification (Q)
|
88% |
219
295.0 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
341
12.1 IPS |
