nubia NP05J
Geekbench AI Score
2026
Single Precision Score
3155
Half Precision Score
2577
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | August 05 2025 11:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1187
220.7 IPS |
|
|
Image Classification (HP)
|
100% |
1976
367.5 IPS |
|
|
Image Classification (Q)
|
100% |
1643
305.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4383
71.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3225
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10674
12.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
18795
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
18545
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1124
89.1 IPS |
|
|
Object Detection (HP)
|
99% |
1471
116.7 IPS |
|
|
Object Detection (Q)
|
85% |
1426
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
5575
66.2 IPS |
|
|
Face Detection (Q)
|
97% |
5868
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5483
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7646
59.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5888
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13111
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29242
37.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28463
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2911
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4002
148.3 IPS |
|
|
Text Classification (SP)
|
35% |
57
555.5 IPS |
|
|
Text Classification (HP)
|
35% |
64
582.6 IPS |
|
|
Text Classification (Q)
|
33% |
46
518.1 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
48% |
511
19.6 IPS |
