nubia NP05J
Geekbench AI Score
369
Single Precision Score
25409
Half Precision Score
54037
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | August 05 2025 01:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
21629
4.02 KIPS |
|
|
Image Classification (Q)
|
97% |
42602
7.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
12138
196.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
37040
602.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
777
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
122152
142.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
470703
550.9 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.87 IPS |
|
|
Object Detection (HP)
|
100% |
16637
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
18719
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (HP)
|
100% |
32073
381.1 IPS |
|
|
Face Detection (Q)
|
97% |
97988
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
81650
629.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
134265
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
452
0.58 IPS |
|
|
Style Transfer (HP)
|
98% |
97584
125.8 IPS |
|
|
Style Transfer (Q)
|
98% |
485169
625.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51400
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124421
4.61 KIPS |
|
|
Text Classification (SP)
|
100% |
598
797.6 IPS |
|
|
Text Classification (HP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7851
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2449
63.1 IPS |
