nubia NP05J
Geekbench AI Score
1623
Single Precision Score
1972
Half Precision Score
3651
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 11:01 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% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (Q)
|
100% |
2540
472.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3388
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3521
4.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
9033
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1166
92.8 IPS |
|
|
Object Detection (HP)
|
98% |
1108
88.2 IPS |
|
|
Object Detection (Q)
|
83% |
2840
229.4 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
6055
72.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2816
21.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6891
63.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7691
9.98 IPS |
|
|
Style Transfer (HP)
|
89% |
7985
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16547
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4645
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1017
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
585
20.8 IPS |
