nubia NP05J
Geekbench AI Score
2026
Single Precision Score
1516
Half Precision Score
3481
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 01:03 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
1112
206.8 IPS |
|
|
Image Classification (Q)
|
100% |
2777
516.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3755
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3496
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2929
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
8341
9.89 IPS |
|
|
Object Detection (SP)
|
98% |
1141
90.8 IPS |
|
|
Object Detection (HP)
|
98% |
1088
86.6 IPS |
|
|
Object Detection (Q)
|
83% |
2496
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
6115
73.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3052
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3054
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5966
54.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7163
9.30 IPS |
|
|
Style Transfer (HP)
|
89% |
7462
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
15354
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4596
170.3 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
908
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
144
2.49 IPS |
|
|
Machine Translation (Q)
|
50% |
516
18.3 IPS |
