nubia NP05J
Geekbench AI Score
1536
Single Precision Score
1641
Half Precision Score
2671
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 11:12 AM |
| Views | 3 |
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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.3 IPS |
|
|
Image Classification (Q)
|
100% |
3037
564.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4044
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3653
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3625
4.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
7169
8.50 IPS |
|
|
Object Detection (SP)
|
98% |
1121
89.2 IPS |
|
|
Object Detection (HP)
|
98% |
1163
92.6 IPS |
|
|
Object Detection (Q)
|
83% |
2831
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
4069
48.3 IPS |
|
|
Face Detection (Q)
|
95% |
6484
77.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3136
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3158
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7204
66.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9232
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10222
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21314
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3191
118.2 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.3 IPS |
|
|
Text Classification (HP)
|
99% |
635
848.2 IPS |
|
|
Text Classification (Q)
|
88% |
449
605.8 IPS |
|
|
Machine Translation (SP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.79 IPS |
|
|
Machine Translation (Q)
|
50% |
52
1.84 IPS |
