nubia NP05J
Geekbench AI Score
1577
Single Precision Score
1556
Half Precision Score
2725
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | August 05 2025 11:00 AM |
| Views | 15 |
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 | 22.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
1255
233.3 IPS |
|
|
Image Classification (Q)
|
100% |
2246
417.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3849
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3486
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
9173
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1069
85.1 IPS |
|
|
Object Detection (HP)
|
98% |
1070
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
2680
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (Q)
|
95% |
5787
69.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2893
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2994
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6936
63.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7943
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7511
9.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13470
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3968
147.0 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.6 IPS |
|
|
Text Classification (HP)
|
99% |
674
899.7 IPS |
|
|
Text Classification (Q)
|
88% |
1103
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
155
2.68 IPS |
|
|
Machine Translation (Q)
|
50% |
45
1.59 IPS |
